24 jobs found

The data engineering team at Confused.com is committed to providing high-quality data/reporting services to our customers. We’re looking for a Senior Data Engineer , a role that has evolved from the role traditional Senior SQL Developer. Ideally, we’re looking for an experienced cloud engineer, but we would consider taking on someone who is an experienced SQL developer with the capability and drive to fill this role. The role With the rise of the cloud, data has become more important than ever, and this role provides an opportunity for the right person to shine as a data expert. Working closely with colleagues from across the business, you’ll get the chance to expand your knowledge of different data technologies and explore new and exciting capabilities—including big data and artificial intelligence. You’ll be working with a team of data experts tasked with fully automating a new cloud data platform as well as maintaining our existing solution. Within Confused.com, there’s a growing focus on data and data-driven decision-making. As such, we’ll rely on you to generate well-articulated data-oriented test cases and determine the positive, negative and boundary cases. We work in a fast-paced, agile, and continuous delivery release-driven environment. The right candidate for this position will be motivated by this challenge and will help to develop our future ways of working. Coding languages currently used by the team SQL Server 2016 and above, Azure DevOps, C#, Business Intelligence Markup Language (BIML), PowerShell, Azure Resource Manager (ARM), Tableau. Key competencies You’ll work closely with our cross-functional agile product teams to identify and deliver projects that will drive value to customers of Confused.com. Experience of working in highly dynamic teams using agile methodologies Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, including third-party providers and our existing Azure platform. Identify, design, and implement internal process improvements:   automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc. Foster a self-service data culture; working closely with other data engineers, architects, and technologists to share knowledge, evaluate opportunities and proactively recommend improvements in architecture, pipelines, data models, tools and processes. Translates data into valuable insights that inform decisions. Involves teams in analytics and synthesis to increase consensus and challenge assumptions. Must be passionate about DevOps and have a resilient attitude in pushing the DevOps perspective within a Kanban team. Maintaining and creating continuous delivery pipelines in Azure DevOps. Positive outlook and desire to learn and help drive and instil technical excellence within the Confused.com IT department. Deliver projects to time, budget and quality in order to deliver business goals. Essential skills Experience of tools such as VSTS (Azure DevOps). Designs, writes and iterates code from prototype to production-ready. Understands security, accessibility and version control. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools. Strong SQL skills and familiarity with data modelling and relational databases. A passion for data, cloud-based services and customer experience. Knowledge and experience of Kimball design. Ensures risks associated with deployment are adequately understood and documented. Desirable skills Keeping current with new capabilities of and improvements in the services provided by Microsoft. Experience with code versioning systems (e.g. git) and CI/CD tools such as MS Build. Hands-on experience in cloud based services, most notably Database, Compute and Storage Develops fit for purpose, resilient, scalable and future-proof data services to meet user needs. Has a demonstrable understanding of how to expose data from systems (for example, through APIs), link data from multiple systems and deliver streaming services. Experience of cloud-based testing. At Confused.com, we are proud to be a diverse business where we put our people and customers first. We understand that a good work life balance is important, and we want you to have an element of freedom to define a working lifestyle that supports this. We are happy to talk about flexible working. Please contact recruitment@confused.com for more information. Next steps: If you’d like to know any more about the position or Confused.com as an employer, please feel free to drop her an email Recruitment@confused.com If you would like to apply please complete the application form and attach your CV.

We’re looking for a Data Engineer to join ThinkData as one of the first few members of the UK office, and to work as a key member of our Data & Analytics team. This role will involve development of scripts and connectors to plug into standard and non-standard public data sources, development of tool suites as well as hands on DataOps work. We’re looking for a Data Engineer with 2-5 years of experience who wants to be part of a scaling company that prioritizes accessing and distributing data, and enables clients to focus on working   with   their data rather than for it. What you will be doing: Building and maintaining tools for monitoring and DataOps Building data connectors to connect to open, public and partner data sources Wrangling and analyzing existing datasets for specific projects Liaising directly with clients on matters of data structure and ideal delivery QAing datasets What you bring: Our ideal candidate wants to be part of a team that solves real-world problems and propels the next wave of data science, machine learning, and artificial intelligence. You are tenacious and enjoy solving problems - be it development, data wrangling, or data analysis. You are proficient in Ruby or Python (additional languages are an asset) You are familiar with Apache projects such as Spark, Airflow, Lens, etc. You understand concepts related to databases, data warehouses, web design, cloud infrastructure and containerization You are familiar with software design guidelines and patterns You are able to quickly learn new tools and software You are able to think creatively and propose solutions to problems You are able to work both solo and collaboratively You are able to communicate effectively with clients What’s in it for you: Knowledge. You will be given the tools and the support you need – from everyone on our Data, Engineering, and Leadership teams – to succeed in your role. The chance to make an impact. We want someone who is creative and motivated to build and maintain customized data solutions for our clients. You’ll be working on the front-lines of data, delivering solutions directly to our clients, with real ownership over your projects. Access to new tech. At ThinkData we don’t shy away from bleeding edge technology. We encourage you to experiment, test, and push the boundaries through research and development. Career growth. This role will change and evolve as we continue to grow. We want you to be able to carve out your own career path here. The landscape is being built under our feet as we move forward, so we are on the lookout for people who can channel their passion, learn quickly and navigate the unknown at top speed. Be a culture vulture. London is an incredible place – let’s make the most of it! Maybe you know the best spot for kebab, or maybe the West End is calling your name. We want to foster a culture where we’re serious about work and just as serious about having fun. Whether you’re a local expert or a brand new expat, be open to taking in what this city has to offer. About Us ThinkData Works, Inc. is a Toronto-based technology startup whose data management platform, Namara, is used by some of the foremost organizations in the world to process and refine data into usable products. We host one of the largest repositories of publicly available data and enable our clients to significantly increase the amount of information they use to fuel solutions. At ThinkData, our mission is to build the easiest and most secure solution that enables our users to access, integrate, and collaborate on the data that powers their business. Some of the largest companies in the world, from tech to banking and beyond, use our platform. We’re not a single-solution AI company or a consulting firm disguised as a startup. We’re interested in solving the fundamental problem of accessing and distributing data. Namara, as a data management platform, will propel the next wave of intelligent solutions. Need more reasons to join? We may be technologically driven, but like every Canadian, we know the best ideas are thought of in a cottage outside of Toronto. During the summer, we take the whole team on a 3-day retreat for vision-setting, aligning our goals, product management, and team-building. We’re not saying this involves beers, guitars, and songs by the campfire. But we’re not saying it doesn’t. We are managing our growth. We continue to promote and nurture the open, collaborative nature of who we are and how we work. We work hard while still having fun, being ourselves, hanging out together, and enjoying delicious snacks at the office. One final note before applying ThinkData Works prides itself for its diversity and being an equal opportunity employer. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. We value all of our applicants, but due to the high volume of applications we receive, only those selected for an interview will be contacted. Candidates must be legally eligible to work in the UK

The AXA Advanced Claims Analytics team is delivering the latest in Machine Learning on Microsoft's Azure cloud platform. Joining Data Engineering is an opportunity to develop your Python skills in the world of Apache Spark, Data Bricks & Big Data on Azure & AWS.  We are building a new Analytics team, so you’ll have a real opportunity to shape the way AXA uses its new Data Lake. You will play a key part in defining and establishing data pipelines.  As a Big Data Engineer you will be ingesting data from a variety of data sources from relational databases to unstructured data such as images or HTML documents. We will then use big data tools such as Apache Spark & Data Bricks on Azure to process, clean & enhance this data to produce reliable feature sets for our Data Science teams to train & build Machine Learning models.  There will be opportunities to work closely with Data Science teams & develop Machine Learning skills & experience. This is a new function at AXA on a new platform with opportunities to shape the way we use big data technologies & Azure\AWS Cloud Services to deliver business value.  We are looking for an experienced Python developer to work on a variety of technical Data Engineering tasks, essential skills\experience are: Multi-year real world Python coding experience Sound knowledge & demonstrable experience of best practice Python Software Engineering. Enthusiasm & a passion for coding in Python & producing high quality, elegant code. An understanding & interest in big data & data engineering     What you’ll need  The following would be desirable in this role: Experience building and optimizing data ingestion and processing pipelines Relational Database\SQL experience or NoSQL Database experience. Experience in Big Data tools - Spark, Hadoop, Data Bricks Public Cloud experience - Azure, AWS, Google Cloud etc..   We would like to see  - A real interest in technology such as Cloud computing, Data lake, Machine Learning. - A flexible approach, business & technical needs change & evolve you need to flex with these changes. - A collaborative nature, working closely & sharing ideas with Data Science teams, BI teams & Project Management. Rewards As you’d expect from a global leader, our reward package is a world-beater here’s a small selection of our current benefits. Bonus Scheme linked to yours and the company’s performance. Pension scheme with employer contributions as well as your own. Life assurance 10x reference salary (4x if not in the Pension Scheme) 25 days holiday, increasing to 28 days by your fifth year of service. Interest free season ticket loan scheme. Access to MAX Benefits where you enjoy cashback and discounts on thousands of retails, holidays and purchases. Flex benefits such as holiday purchase, dental care, bikes for work. 20% discount with EE. 50% off Pure Gym membership. Discount on all AXA Insurance products, including car, home and travel insurance, breakdown cover & healthcare. Investment in Professional Qualifications.

If you are ambitious, bright and eager to make a positive impact in a short amount of time using machine-learning and artificial intelligence, this may be the role for you. Unlike some of the bigger names around, this successful, self-funded, Cambridge start-up, with an established advantage in a competitive market, is offering the opportunity to develop your career in analytics and financial trading at a much faster rate than would be possible following the usual corporate route. If you can handle responsibility, they will give it to you. If you crave mental stimulation, you will find it here. If you want to constantly challenge yourself and see how far your potential can take you, joining this company could make the difference between achieving your goals in three years instead of ten. Their applications are machine-learning and AI processes applied to financial trading and modelling tools. They are looking for the brightest mathematicians and computer scientists to work on demanding projects, critical to the success of the business. The type of work you will be doing includes: developing APIs to support data pipelines; machine-learning; exploratory data analysis and live deployment of data processing pipelines. The emphasis is on giving you the space to produce quality work and ensuring you are continually challenged. It is a hard-working environment but to ensure their employees can perform at their best, the company does offer an unlimited holiday allowance. Minimum experience and skills necessary for this role: An excellent STEM degree (2.1 or above) from a university ranked in the world's top twenty An enthusiasm for providing reliable, elegant solutions to real-world challenges in data manipulation and processing Great skills in Python, R and a real desire to keep learning the latest technology in machine learning applications Full permission to live and work in the UK without time limit, restriction or sponsorship is also required. Keywords: Data Science, operations, ambition, machine-learning pipeline, artificial intelligence, TDD, continuous deployment, clean code Interested? Send your CV to ECM Selection; whilst we can only put forward the top few candidates, we do read every CV and try to respond to everyone. Or recommend a friend for £250, details at http://ecmselection.co.uk/tell-a-friend. Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.

Role We are looking for a Deep Learning Engineer to join our AI Engineering team in Cambridge or Gothenburg. The ideal candidate will have industry experience developing and applying Machine Learning and Deep Learning solutions, e.g. developing data pre-processing pipelines, modelling, training state of the art deep neural networks (CNNs/RNNs/LSTMs/Transformers) as well as deploying inferencing pipelines to process unseen data at scale. The position will involve taking these skills and applying them to some of the most exciting data & prediction problems in drug discovery. You will work as part of a global team of deeply technical data scientists, knowledge engineers & machine learning engineers and have the chance to create tools that will advance the standard of healthcare improving the lives of millions of patients across the globe. We are working in collaboration with our scientists to help develop better drugs faster, choose the right treatment for a patient and run safer clinical trials. Our team empowers our scientists from early development to the late stages in drug development, driving innovation and acting as a catalyst for the adoption of the latest advances in Artificial Intelligence and Data Science. You will work closely with scientists & product teams and learn to deliver DL solutions at scale within the AstraZeneca tech stack, whilst encouraging best practices for DL across the company. We are looking for deep learning engineers capable of building robust, accurate DL-based systems and scientifically rigorous solutions that will be used across scientific units in AstraZeneca. As a strong software leader and an expert in building complex systems, you will be responsible for inventing how we use technology, Deep Learning and data to enable the productivity of AstraZeneca. You will help envision, build, deploy and develop our next generation of analytical engines at scale. Key Accountabilities Investigate innovative machine learning, artificial intelligence and statistic techniques for health data challenges. Collaborate with scientists and other machine learning engineers and data scientists to translate medical problems into machine learning problems. Design and implement machine learning pipelines. Design, implement and evaluate machine learning models solve problems faced by our drug development scientists, e.g., disease progression analysis in CT scans. Deploying machine learning solutions into production. Optimizing solutions for performance and scalability. Explain analyses and machine learning solutions to technical audiences. Liaise with other teams to enhance our technological stack, to enable the adoption of the latest advances in Data Processing and AI. Support the strategic planning of the team by providing leadership as well as mentor and support the team of engineers across multiple projects. Candidate Knowledge, Skills and Experience Essential A PhD, in Computer Science, Applied Mathematics, Artificial Intelligence, Statistics or related subjects – or Masters in a relevant discipline and exceptional Machine Learning skills. 2+ years of experience and demonstrable deep technical skills in one or more of the following areas: machine learning, recommendation systems, pattern recognition, natural language processing or computer vision. 1+ year of experience with one or more DL frameworks such as Tensorflow or PyTorch. Experience with scientific and machine learning libraries e.g., SciPy, Scikit-learn, NumPy. Strong software development skills. Proficiency in Python preferred. Experience building large scale data processing pipelines. Experience with Cloud computing, Hadoop/Spark, SQL. Ability to explain and present analyses and machine learning concepts to a broad audience. Ability to work with loosely defined objectives and turning these into concrete machine learning problems. Creative, collaborative, & product focused. Desirable Experience training and deploying machine learning models at scale on distributed cloud environments Experience applying machine learning in the healthcare domain. Experience with reinforcement learning is a plus Other The role will have no direct line reports, but task management responsibilities within project or services may occur

Exciting long term contract opportunity available for a couple of proven Big Data Engineer/Big Data Developers to work on a new greenfield project. This role will suit any software big data engineer/developer with a genuine passion, or commercial experience, of Data Analytics, Artificial Intelligence (AI), Machine Learning (ML) and cognitive applications. You are like to have extensive experience but will be keen to find that next contract assignment that can further exploit your skills within an innovative data science environment. Suited candidates will have experience of working with structured and unstructured data. Any experience of training and inference of machine learning models is highly desirable. Role 1. Focus - Ingestion & ETL - Apache Spark, Open Source NoSQL Database technologies, .Net/Python Programming Role 2. Focus - expert Search Consultant, Elasticsearch, configuration and cluster design, Index definition and tuning, Data ingestion, Index performance tuning These roles will suit data engineers/data developers who love working on scaleable Real Time applications, communicating with the business stakeholders on technology, innovation and forward things approaches. Our client will be conducting interviews next week, so please apply immediately or call Bangura Solutions on 0203 854 1400 to be considered for either of these exciting contract roles

Lead Data Engineer We are looking for a strong and dynamic “hands on” Lead Data Engineer to join our existing London Market’s Tech Team and help us to create a professional data engineering practice and immediately get involved in architecting and building a greenfield cloud based data analytics platform to support our new   data strategy . We are looking for an enthusiastic and self-motivated individual with a thirst for cloud agnostic tech, data processing/analytics, machine learning and good data governance knowhow to help grow and lead the overall team in this area. The successful candidate will help architect and build new data solutions and initial PoCs using cloud-based technologies specifically on Azure. Previous experience using solutions like Snowflake, Kafka, Matillion (or similar ELT tooling), Serverless, Spark, Python, and R would be extremely useful. Also previous usage of Azure blob storage, Azure Data Factory and Azure Data Lake could well be helpful too but is not essential. You should certainly have some familiarity with infrastructure technologies like Terraform and Docker on at least one of the big 3 cloud providers. The role requires someone with a strong understanding of how to set up the appropriate tools and technologies in the cloud to securely process big and small, unstructured and structured data – from ingestion, cleansing, transformation, enrichment, outlier/anomaly detection, auto matching/classification and finally to the delivery of accurate data for insights, analysis and reporting. Knowing how to deploy fast R&D solutions and robust operational/production systems is key and having previous experience of implementing secure, scalable and automated data pipelines and self-service business intelligence solutions is a must. We need someone who can get stuff done and deliver value incrementally to the business – who completely understands what agility really is and always looks to keep things simple and avoids excessive amounts of code where possible, understands best practices in the cloud and the importance of DevOps and ensures that we can easily build, deploy and monitor our solutions when they go into production – keeping an eye on infrastructure costs. Working alongside the existing tech team, a new Data governance/operations team and our Data Science team, the candidate will need excellent communication skills and the ability to mentor and educate others in the various data processing technologies that we adopt and implement. As Lead Data Engineer, this role carries the responsibility and ownership of making technology choices and influencing the overall design and direction of London Market’s digital transformation in relation to the way it processes and utilises its various data assets. In return we will ensure you can fully self-organise and have autonomy and flexibility in your decision making. You will have at least 7 years’ experience in Data engineering and previous experience of growing and leading a team of data engineering experts. The role is ideally suited to someone interested in working with the latest cloud technologies in a dynamic environment, in the face of high performance, complex data wrangling and high variety of data asset challenges. Key areas of work: Working with senior stakeholders to understand high value business problems that can be solved through the application of data processing and analytical systems Helping to architect, setup and support a new cloud-based analytics platform for the business Helping to create and manage a specialist Data Engineering practice for the London Market’s business Ensuring your team supports the Data Science Team by building data pipelines for specific insights and provides them with an environment for their R&D and experimentation Ensuring your team supports the Data Governance and Operations Team by providing robust, secure and scalable production data analytics solutions Understand business requirements and refine into development tasks and estimate their complexity Research, evaluate and adopt new technologies with a   right tool for the job   mentality Prototype, fail rapidly and iterate. Focus on both speed of delivery and quality, with suitable pragmatism – ensuring your solutions are always “appropriate” and not overly complex or over-engineered Quick progression of projects from PoC to post-production stage Communication and presentation of ideas to colleagues in all parts of the wider business Recruitment, Mentoring & code reviews for the Data Engineering Team What should excite you about the role: The business: Leading brand across the insurance space Diverse product offering across homeowner and commercial insurance The working environment: Great working space in the heart of the city Buy-in from the senior management to implement data analytics A collaborative IT department that is using the latest technology Global community of analytical professionals The role: Highly visible role with access to the business leadership Continued professional development and exposure to business Competitive compensation that rewards high achievers Required skills: Passion for and experience of building data analytical platforms to deliver business value Excellent attention to detail and accuracy is a must Excellent troubleshooting skills and the ability to quickly identify the source of any data errors or performance issues and solve these Track record of taking initiative and delivering projects end-to-end; clear evidence of being self-driven/ motivated Immense curiosity, high energy and desire to go the extra mile to make a difference Having an awareness of trends in the data engineering space Leading and nurturing the team Ability to set up secure, automated and scalable data platforms / technologies in the Cloud (particularly Azure) Good working knowledge of various database types and when to use them, i.e. SQL (Snowflake, MS SQL Server, Postgres), Columnar, Graph, Key-Value, and Document Solid experience working with at least one NoSQL database like Cassandra, Neo4J, and/or Elasticsearch Solid experience working with some ELT/ETL tools like NiFi, Airflow, Matillion, SSIS, and SnapLogic Solid experience of working with and implementing BI platforms like Tableau, Looker, Sisense, Power BI, and Qlik Solid understanding on how to incorporate data lineage, discovery and governance within production solutions Ability to code in at least two of these languages: Java, C#, Python, Scala and R Excellent working knowledge of the SQL and DDL Languages Experience of ensuring data is properly backed up, replicated and is always fit for purpose Good knowledge of database design patterns – including OLTP, OLAP and overall schema design Desirable Skills / Experience: Excellent knowledge of data streaming and event streaming technologies and patterns Good understanding around Machine Learning – ideally anomaly detection, classification, predictive analytics, NLP & recommendation (when working alongside our Data Scientists) Good knowledge around Continuous Integration, auto-build and auto-deployment technologies – like Jenkins, Flyway, Liquibase Good knowledge of infrastructure tooling like Terraform or Docker Hands on experience in the Insurance Sector, Financial Services or Data-Driven Start-up Consulting experience A degree in applicable area Apply now for further information You can follow Hiscox on LinkedIn, Glassdoor and Instagram (@HiscoxInsurance) #LI-SW1

Purpose of the role: The Data lake engineer role focuses on maintaining and monitor an inhouse data lake which has been built using AWS and Hadoop ecosystem. The data lake engineer will be responsible for administration of all the tools which are part of Data Lake and maintenance of transparent, secured environment. The Data Lake Engineer will also liaise with Cloud and network team to understand the different systems being used as part of that team and help Data team understanding it well. Key Responsibilities: As a Data Lake Engineer, You will have extensive knowledge of AWS and should be able to work with CFT (Cloud Formation Template) , terraform, Source control (Github). You will have extensive knowledge and experience and act as an SME for cloud technologies (AWS) and advocate standards and best practises to be applied. Integration Specification, Design & Deployment Good understanding of Data Security, Data Lineage and Data governance Solid grounding in data administration either in relational database system or in cloud Experienced in handling tools to create user policy, resource policy to govern data access process (e.g. AWS IAM , Ranger, Atlas etc.) A solid grounding in DevOps principles and someone keen to advocate and educate on these principles and feed into team discussions around Collinson to drive a more collaborative approach breaking down silos where they exist Responsible for performing root cause analysis for underlying issues and incidents that affect systems performance and availability including proactively identifying and resolving known errors and problems to minimize incident re-occurrence. To provide the technical input into planning and implementation of complex upgrades, installation and releases Knowledge, skills & experience required: Core Skills Python, AWS, SQL and Hive Strong communication Deep exposure to data heavy workflows Data Engineering: Python, bash, Hive, SQL (preferably postgres and SQL Server), building and maintaining APIs, building and maintaining data lakes Minimum 1 year experience in building AWS workloads Knowledge of Hadoop Ecosystem and related tools Experience in Data Management, Administration or data-integration roles Experience with AWS in development and production Experience with Apache Atlas and Ranger Experience with Data Lake Governance Experience maintaining production grade workflows Extraction, Transformation & Loading Database performance tuning and querying writing Experience of the full Software Development Lifecycle, utilising both Agile and Waterfall Project Delivery

Job title: Engineering Data Administrator Location:   TP Group, Portsmouth Contract:   Permanent The Role: Responsible for the support and administration of the technical team inclusive of design engineers, project engineers, and production. Creation of part code input into MRP, construction and maintenance of bill of materials (BOM) issue updates. Review of both new and old drawing packs with respect to PDM and fulfilling supporting role of drawing quality checks. Creation and data import into PDM of documentation packs (project specific). Reviewing the data stored in company archives and orderly disposal of those items that are no longer needed under the instruction of the Technical Manager. Responsibilities will include:  Responsible data entry and maintenance of:- o Part codes  Entry, description and supplied linkage o Drawings and specification ‘issue’ o Support in the creation of BOMs  Maintenance and changes to BOMs  Liaison with the Project teams over changes made. o Filing of drawings and specification as requested. o Completion of print requests for supplier drawings o Product configuration management  Proactive review of legacy drawings. Initiation of change notes and work packages - impeding engineering change notices and design office request’s (IECN) DORs as appropriate in the correction of those drawings deemed to be in error.  Update of department specific documentation and work flows, under guidance of department owner.  Verification of data entry by reviewing, correcting, deleting or re-entering data; combining data when requested should information be incomplete.  Review/detailed check of output drawings for design for manufacture (DFM) and feedback to the team improvements and techniques that will improve knowledge base.  Respond to printing requests from a variety of internal and external customers and produce documentation to the standard required  Create, review and receive new draft of company specifications and standards from the various departments. Ensure all documentation received is to company standard and filed within the company system to ensure access is provided for the relevant personnel.  Support component selection with creation of engineering specification from product data sheets as directed by the design & project engineers.  Create, review, update and maintain parts details, par lists sub- assemblies and bill of materials in the operations/factory master database  Ensure only the latest copies of drawings are available electronically for use throughout the company  Ensure company technical requirements and relevant professional standards and codes of practice are maintained and adhered to 1. General activities  To carry out any other ad-hoc duties as required to support the needs of the business  To provide a professional back-up service for the department during peak times or during absence  Working to correct procedures in an efficient and timely manner  Capable of representing a world class brand at the highest levels  Qualifications, experience and skills About You Essential Requirements:  Design office or administration experience.  Knowledge drawing practices and BS8888  Knowledge of Microsoft office suite  Production environment experience  Qualification in an engineering or science based subject. Preferred but not essential:  Experience of working within a defence environment.  Knowledge of ISO9001 or a similar QA system.  Experience of a role as drawing checker inclusive of DFM feedback  Knowledge and use of Dassault Systems PDM (Product Data Management package).  Knowledge and use of Solidworks  Able to build long-term successful partnerships internally.  Candidates must be flexible, enthusiastic, self-motivated and able to use initiative and work without close supervision.  Knowledge and or use of Operations II and or Factory Master MRP systems. About Us We are a professional services and technology partner to global, defence, energy, space and intelligence & communications programmes. Because of our forward-thinking teams, mission-critical equipment operates effectively in the world’s most challenging environments. Whether sharing innovative solutions or manufacturing advanced systems, absolute trust is core to all we do. In addition to our Group head office made up of support roles we also have two core business streams which are:  Technology & Engineering.   Design, deliver and support high-integrity systems from our facilities in Portsmouth, Manchester and Melksham. Engineering teams apply advanced techniques to produce solutions for our customers which can be relied upon for long service life, in difficult or dangerous environments. These include: atmosphere control systems for nuclear submarines and thermal management systems for chemical processing and energy industries.  Consulting and Programme Services (CaPS).   Provide through life services to enable our clients to manage the evolution of their own systems and services, in their own domain. Leveraging our long heritage of experience of designing, delivering and supporting safety, mission and business critical systems, we provide individuals with domain leading knowledge, skills and experience who can work within client teams or take full responsibility for the delivery of outcomes. Our people make us the successful company we are and have a TEAM TP Group culture. These values are:  Achieve together  Embrace responsibility  Strive for excellence  Build unity  Challenge ourselves  Have integrity in all we do Company benefits include:  25 days’ holiday  Discretionary annual bonus scheme  Company pension scheme Other requirements  Candidates must have an existing right to live and work in the UK.  Candidates will need to undergo an internal BPSS check prior to gaining site access.  Candidates will also need to either hold a current SC clearance or be willing and eligible to undergo a Security Clearance check (SC level) upon starting their employment with the company. To gain SC clearance you will normally need at least 5 years’ UK residency. To apply for this role, please send a CV and a covering letter detailing your current salary and benefits package to   hr@tpgroup.uk.com

Who we are Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Role Profile: A Data Engineering Intern at Artefact will   innovate, build, train   and   communicate   with a team which is made up of consultants, data scientists, creatives and engineers to identify clients needs and define innovative solutions. You will work in a collaborative team which champions knowledge sharing. You will coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google & Amazon. Your mindset and skills: Curious, you are always seeking innovative solutions for your clients. You are involved in all the value chain which can be, front-end, back-end, big data infrastructure, ML model Sharing of knowledge is essential for you and you actively participate in the diffusion of information within Artefact (seminaries, formations, certifications) Entrepreneurial, you bring solutions, new ideas, within your team at Artefact You act on all the value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, APIs REST creations, of front-ends, of tests, continuous deployments) You have a good knowledge of python (Java and Scala are an asset), you know how to navigate *nix thank to CLI, you are familiar or have already used cloud technologies such as GCP or AWS, you have already used bug data technologies like Flink, Spark, or Beam and Docker (K8S is an asset) You can popularize technical terms or solutions to more business oriented profiles, you can work in a team with very diversified profiles You know how to prioritize your tasks, respect deadlines, prevent in case of problems You have a good level of English Why join us : Artefact is the place to be:   come and build the future of marketing Progression:   every day offers new challenges and opportunities to learn Culture:   join the best team! Feel free to check out our website (Artefact.com) or Instagram (Artefact UK) to find out more about the diverse, Vibrant culture here Entrepreneurship:   you will join a team of motivated entrepreneurs. We will not give up until we make a huge cut in this industry. Come join us !

As our next Privacy & Data Management Consultant you'll ensure compliance with Data Protection regulation and best practice data management across the Information Lifecycle. You'll join a likeminded team in our Leeds based Data Governance function. As our next Privacy & Data Management Consultant you'll ensure compliance with Data Protection regulation and best practice data management across the Information Lifecycle. You'll join a likeminded team in our Leeds based Data Governance function. What You'll Do Manage the Personal Information Log, leading improvements and ensuring the contents, structure and management processes remain fit for purpose Work collaboratively with the Data Protection Office in ensuring Group approaches are fit for purpose and support compliance with Data Protection Regulation Provide training and awareness on Data Protection policy and procedures Provide consultancy on all aspects of Data Protection for Project and Business change and BAU queries How You'll Do It Working knowledge of Privacy and Data Protection regulations and legislation requirements Understanding of Information Lifecycle Management best practice Good understanding of Data Governance and Information Security Ability to work with autonomy and make operational decisions Life at YBS In addition to the usual benefits such as competitive salary, annual bonus and healthcare packages we offer you… Flexibility   " Whether it's picking up the kids from school or catching that early morning yoga session we have you covered. Celebrating Success   " From everyday thank you cards, to our annual 'Raising the Roof' gala to celebrate our golden ticket winners we acknowledge our colleagues successes no matter how big or small. Giving Back   " Fancy 31 hours of paid leave a year to get involved in community activities? Together last year, we completed more than 11,000 hours of volunteering! Inclusivity   - We don't just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our colleagues, our customers and our community. We are proud to be an equal opportunities employer. Site Perks   " Some of our sites have added little extras such as a gym, restaurant and free parking at our Bradford site, roof garden in Leeds, and on-site restaurant and free parking at our Peterborough site. So…. If you've got a solid background in Data Protection and you want to develop a career in an empowering, respectful and supporting business then why not join us?Our people are our heart and soul; we're commercial and caring, big enough to offer you a challenge and small enough for you to make a real impact. We're devoted to putting people first and doing the right thing by providing real help with real life.We'd love to hear from you so why not apply today and be Your Brilliant Self!'Any Questions " Contact Tazafia Mahmood on 01274 801234 or via email at tmahmood@ybs.co.uk'

Associate Director - Data Management - (20001264) JOB SUMMARY Supports the Director in providing leadership, direction, and operational management for Data Management operations. May take a program of projects to oversee. The position is responsible for line managing, developing and being accountable for the DM Management/Project Data Managers in their assigned team; and for meeting assigned operational targets including but not limited to quality, performance, utilization, retention and training. Ensures that contracted services of projects/program of projects are carried out by the Data Management Team in accordance with the executed contract and Customer expectations. Supports Data Management Business Development activities. JOB RESPONSIBILITIES Ensure project launch, conduct, and closeout activities are performed according to the Customer's and the Company's contractual agreement. Ensures that all program/project-related data management tasks are completed in accordance with internal and customer quality standards, Syneos Health SOPs, and all pertinent industry/regulatory guidelines and legal requirements from commencement to closure of a project. Ensures project documentation is filed on an ongoing basis and the TMF is maintained in an inspection ready state Manages multiple projects ranging in size and complexity from single service studies, to multiple global projects within a program. Oversees the planning, execution and maintenance of a program of projects. At a program level, acts as a Data Management expert to develop data management strategies, identifying and implementing methodologies and technologies to best support projects. Drives continual improvement across a program of projects and effectively shares lessons learnt across projects Serves as the sponsor liaison for a program of projects and ensures consistency and continuity amongst the project teams. Represent Clinical Data Management as a member of program governance team / joint operations committee Proactively manages the scope, budget, and resource for their assigned projects/program of projects. Manages the financial aspects of the assigned projects, including ensuring projects maintain the correct level of gross profit, and changes in scope are applied as necessary. Ensures that customers are invoiced in a timely manner. Identifies and quantifies resource requirements for ongoing and future projects. Point of escalation for individual projects/program of projects. Resolve escalated data management project issues. For key project issues requiring more Senior DM input, propose options for solution to Manager (Senior Department Management) for input and support to resolution Ensure effective communication between departments and with Sponsor to ensure a high level of client satisfaction through successful execution of projects. Reviews Protocol, Data Management Plan, CRF and Edit Check Specifications to ensure consistency across documentation Ensures a review of relevant project Data Management study files for currency and accuracy, including development of a corrective action plan for quality issues or non-compliance. Assists in driving recruitment of operational staff. Line Management and functional support of assigned staff. Interview, onboard and train new staff as appropriate. Oversee professional development of direct reports by setting goals, conducting performance reviews, evaluating and monitoring training needs, creating development plans, mentoring, and coaching. Mentors Project Data Managers in general team leadership skills, project management skills, internal Company processes, and for project specific tasks. Manage the resources / workload of assigned team and projects, assigns tasks to team members, manage billable and non-billable time, and subsequently monitors productivity / utilization, timeliness, and quality. In collaboration with the Director, ensures effective resource management and maintaining utilization/realization at acceptable levels. Supports the Director with Project Review Meetings to ensure that resource, deliverables, scope, quality, and budget are maintained appropriately Leads Data Management staff through Sponsor or regulatory audits. Plans for and participates in Sponsor or regulatory audits Works with Business Development and the Proposal/Contracts groups to provide input to project budgets and scope of work for customer requested opportunities. Represents Clinical Data Management at Business Development and Sponsor-related meetings Perform training for data management staff. Create training materials as required Maintains departmental resourcing tracking tools Lead or participate in process improvement/departmental strategic initiatives to support the Business. This may include the development of departmental technologies, SOPs, processes and procedures Maintains proficiency in Data Management systems and processes through regular training. Performs other work-related duties as assigned QUALIFICATION REQUIREMENTS Bachelor’s degree, Master’s degree preferred, or RN. In lieu of Bachelor’s degree or RN, equivalent related education and experience. Demonstrated expertise in project management and staff supervision Ability to serve in a leadership role in Data Management including effective mentoring skills, and the ability to deal effectively with sponsors and internal customers at all levels Excellent communication, presentation, interpersonal skills, both written and spoken, with an ability to inform, influence, convince, and persuade Demonstrated experience working within a team matrix structure Demonstrated experience in managing multiple priorities in a highly dynamic environment Possesses a positive attitude and works well with others Knowledge of ICH/GCP regulatory requirements for clinical studies Previous line management experience Ability to travel as necessary (up to 25%) #LI-JG1 Primary Location   Europe - GBR-Home-Based Other Locations   Europe - GEO-Home-Based, Europe - ISR-TelAviv-39-Jerusalem-Str, Europe - LVA-Client-Based, Europe - ITA-Home-Based, Europe - HUN-Budapest-Kiralyhago, Europe - ESP-Client-Based (Madrid), Europe - CHE-Home-Based, Europe - LTU-Client-Based, Europe - HRV-Client-Based, Europe - ITA-Milan-Via-Gonzaga-7, Europe - GBR-Edinburgh-Technopole, Europe - GBR-London-10-Bloomsbury-Way, Europe - GBR-Lewes-3-Bell-Lane, Europe - ESP-Home-Based (Madrid), Europe - DNK-Denmark-Client-Based, Europe - ITA-Saronno-Vicolo-del-Caldo, Europe - POL-Warsaw-ul-Nowogrodzka, Europe - BEL-Home-Based, Europe - LTU-Home-Based, Europe - ESP-Barcelona-Paseo de Gracia, Europe - CZE-Home-Based, Europe - EST-Client-Based, Europe - CZE-Prague-Lomnickeho, Europe - PRT-Lisbon-Edificio-Mythos, Europe - IRL-Client-Based, Europe - ISR-Client-Based, Europe - BGR-Sofia-38-40-Osogovo-Str, Europe - ROU-Home-Based, Europe - FIN-Home-Based, Europe - ESP-Barcelona-196-PauClaris, Europe - DZA-Client-Based, Europe - TUN-Home-Based, Europe - POL-Warsaw-Przyokopowa-31, Europe - HUN-Client-Based, Europe - EST-Home-Based, Europe - CZE-Client-Based, Europe - IRL-Home-Based, Europe - NLD-Home-Based, Europe - FIN-Client-Based, Europe - UKR-Home-Based, Europe - FRA-Client-Based, Europe - GBR-Farnborough-1-Pinehurst, Europe - PRT-Client-Based, Europe - POL-Krakow-22-Zielinskiego, Europe - NLD-Client Based, Europe - ESP-Client-Based (Barcelona), Europe - GBR-Kinapse-Tuition-House, Europe - FRA-41-45-Blvd-Romain-Rolland, Europe - UKR-Kiev-Bazhana-Prospekt, Europe - ROU-Client-Based, Europe - NLD-Amsterdam-Oval-Tower, Europe - UKR-Kiev-Bulvarno-Kudriavska, Europe - HUN-Home-Based, Europe - LVA-Home-Based, Europe - ITA-Rome-Via-Zoe-Fontana-220, Europe - ISR-Home-Based, Europe - POL-Client-Based, Europe - ESP-Home-Based (Barcelona), Europe - HRV-Home-Based, Europe - POL-Home-Based, Europe - PRT-Home-Based, Europe - DZA-Home-Based, Europe - GBR-Client-Based, Europe - AUT-Client-Based, Europe - AUT-Home-Based, Europe - UKR-Client-Based, Europe - ROU-Bucharest-Tudor-Arghezi-St, Europe - BGR-Home-Based, Europe - FRA-Biot-Sophia-Antipolis, Europe - BLR-Client-Based, Europe - BEL-Client-Based, Europe - BEL-Diegem-De-Kleetlaan, Europe - ESP-Barcelona-601-Diagonal, Europe - BGR-Client-Based, Europe - ITA-Client-Based, Europe - DNK-Denmark-Home-Based, Europe - BLR-Home-Based Job   Data Services Schedule   Full-time Travel   Yes, 25 % of the Time Employee Status   Regular

A focus on data management and content publishing capabilities as a platform capability across all communities, fully integrated with entitlements, digital rights and analytics capabilities. The Director of Data Management Capabilities will be responsible for driving the a customer first perspective for product investment planning with a strategic understanding of the competitive landscape, continuously synthesizing these views to adapt product planning appropriately in line with commercial objectives. The Director of Data Management Capabilities will report to the Head of Platform Capabilities) and be responsible for driving commercial and investment outcomes for all customer publishing capabilities, including real-time streaming, research publishing, customer data warehouse, customer file store, and internal publishing. The focus will be on driving customer and partner developer value propositions that allow the utilization of customer data within offerings across analytics, applications and holistic workflow solutions, to all of the end user communities Refinitiv serves. The role will provide commercial leadership for these capabilities and drive execution across Product Management and Technology, Marketing, and our Sales and Market development teams to establish clear short term and long term delivery plans for Data Management across Refinitiv. The successful candidate will combine strong entrepenearial spirit, enthusiasm for data management technologies, solutions, ontologies and architecture,and an ability to develop, communicate, and lead with a strong vision grounded in customer perspective and commercial sensibility. Candidate should have an ability to collaborate and work effectively in a matrix organization with many partners and stakeholders. Responsibilities Commercial leadership for data management capabilities Ongoing optimization of data management investment and prioritization to achieve commercial and strategic goals of Refinitiv end user segments. Articulation to internal and external stakeholders on segment strategy and roadmap. Development and articulation of the value proposition for Data Management capabilities on the Refinitiv Data Platform. Drive innovation and differentiation across new and existing propositions, product lines and or services to better address current and future client needs. Make strategic trade-offs to provide commercial offerings and services with predictability and transparency Influence client communications and go-to-market strategies for new product developments and enhancements. Work in combination with product management and development to assess whether goals are best accomplished by building, buying or entering into partnership in order to address market/technical requirements, alongside time-to-market considerations. Support business teams as required for key client presentations and strategy updates. Ensure communication and cross-group collaboration, including client requirement vetting and feedback gathering on new and existing propositions, products and services. Lead cross product, proposition and Development prioritization Continue to challenge, grow and upgrade the Product organization. Develop talent across the company. Review current products to ensure alignment with commercial objectives, customer need, and competitive positioning. Scope and Impact Maps customer and business asks to Data Management Capability services, allocates investment and priority in line with creating delighted customers and increasing revenues. Maintains awareness of usage, growth and shifting requirements for exising users of publishing services and guides the requirements of data management capabilities accordingly. Attends and participates in industry events, maintaining relationships with strategic partners and customers Knowledge & Skill Level of knowledge and application of skills. Proven ability to establish broad commercial and product vision and lead them to execution from funding through launch and ongoing. Experience and depth of understanding of financial data and how it is used in the trading lifecycle, asset management, wealth advisory, and in quantitative / analytics applications. Strong background in data management technology and solution components, eg data lakes, data warehousing, metadata, data catalogs data ontology, tagging, entity identification. Demonstrated technical curiousity and continuous learning – familiarity with cloud solutions and cloud migration trends, data science, R/Python, and other tangential areas. Financial industry knowledge from both a customer and vendor perspective. Proficiency in product commercialization, marketing and product launch Ability to drive a direct and indirect team to execute strategy. Superior client engagement skills, including proven ability to build and manage senior client relationships. Proven ability to lead and manage a local or virtual team. Proven ability to communicate complex ideas to internal and external stakeholders. Ability to influence and drive change. Lead business planning and budgeting exercises. Attract, develop and retain high quality talent. Manage a diversified portfolio across multiple segments and propositions. Skilled at negotiation, complex problem solving and conflict management. Relationships: Internal / External What are the important relationships that strongly influence success? How critical is the customer relationship? Internal and external senior management / Board of Directors External clients External vendors Business Unit / Segment Leaders Technical and Engineering Staff Sales and Marketing Business Development Quality Assurance Content, Development Application and Customer Support Certifications / Education University degree required Advanced degree a plus Industry-specific certifications preferred Business-related certification preferred Professional Experience, Strategic Planning & Decision Making Strong track record of end-to-end product on multiple complex projects involving global, cross functional teams. Demonstrated ability to understand commercial, technological and strategic drivers in order to execute strategy. Significant industry and/or senior product management experience involving more than one major/discrete target client segment. Demonstrated prior experience setting and executing on the strategy for a portfolio of products. Behavioral Competencies Collaborating across Boundaries Focusing on Customers Setting Direction and decision orientated Championing Innovation Driving Results Leading through influence and direction As a global business, Refinitiv relies on diversity of culture and thought to deliver on our goals. Therefore we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. Refinitiv is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace. Intrigued by a challenge as large and fascinating as the world itself? Come join us. Locations London-United Kingdom

Roke believes in improving the world through innovation. We do it by bringing the physical and digital together in ways that revolutionise industries. Roke delivers advanced research, development, services and products to high profile customers who come to Roke with varied and challenging problems to solve. We are now seeking graduate software engineers to join us for our 2020 intake where you will be working across ground breaking projects within the fields of autonomy, connectivity, data analytics and cyber. Each day, it is rare that you will have nothing new to learn. Our people use their intelligence to make the world a safer place, by combining innovation, strong industry partnerships and 60 years of experience to offer our clients truly exceptional advice, research and development.. We are offering you the chance to be part of something amazing. What will your role look like? Our artificial intelligence and machine learning work encompasses many all types of data and spans a wide range of customer requirements. We use a variety of software, picking the best approach to suit each problem. You will use your statistical background to develop machine learnt models to classify or understand data. Roke will provide you with opportunities to expand your skills in areas such as: Neural networks and deep learning with technologies such as Keras, Tensorflow, and PyTorch Open source machine learning or data processing toolkits and libraries such as SciKit-Learn, NumPy, Pandas, and SciPy Artificial Intelligence for complex visual and audio data Computer Vision Programming languages to support artificial intelligence and machine learning such as Python, C++, and Lua What does our Graduate Development Programme look like? At Roke we aim to recruit some of the best talent the country has to offer. In doing so we recognise that we need to provide the necessary building blocks for successful integration into the business, as well as ongoing support which will enable our graduate community to fulfil their undoubted potential. That's why we've created a programme that will support individual learning and development, whilst simultaneously delivering real business value. This emphasis on experiential learning is supported through a number of additional modules such as: Technical Training   " delivered through an initial technical 'bootcamp' and enduring access to the PluralSight online training portal. Soft Skill Training   " a series of modules focussed on developing communication skills, networking, professional etiquette and teamwork. Visible Leadership   " regular access to senior leaders and de-mystification of internal processes External Visits   - opportunities to attend external exhibitions/conferences in order to broaden industry knowledge and appraise the competition Lecture Series   " opportunity to attend lectures by visiting customers and prominent academics What do we expect from you? Ideally we would like a good honours degree in a related subject however, Roke is looking for graduates enthusiastic about artificial intelligence and machine learning problems. We have a wide range of opportunities in this area so your role will vary depending on your existing experience, our customer needs and your aspirations. A demonstrable passion for artificial intelligence, machine learning, or mathematics An ability to quickly pick up new tools, frameworks, and languages An ability to analyse problems and communicate comprehensive solutions An ability to develop new solutions where no pre-existing solution fits A willingness and capability to work as part of a team What additional skills would be useful? Understanding and interest in statistical methods A familiarity with Linux Where will you be based? Your work will typically be located at Roke's sites in either Romsey or Gloucester, with some travel to customer sites and the possibility for you to work on secondment with one of our prestigious customers. The benefits of working for us include: A competitive salary, pension and a host flexible benefits. A performance related bonus scheme. 25 days holiday allowance, which can be supplemented up to 8 additional days by Roke's flexi-leave scheme. A relocation allowance to help you settle into the local area and your new role. Onsite tennis courts, gym (Romsey only) including showers & changing facilities and fishing rights on the River Test. Numerous company events throughout the year, including a summer music festival, bonfire night fireworks, STEM events, employee reward and recognition and a Christmas party. Employee led social clubs covering numerous sports as well as cyber/data/robotics activities, gaming, board games and more. Security Due to the nature of this position, we require you to be eligible to achieve SC clearance. As a result, you should be a British Citizen and have resided in the UK for the last 5 years. We are committed to a policy of Equal Opportunity, Diversity and Inclusion. Our working environment is friendly, creative and inclusive. We can accommodate flexible working arrangements, and support a diverse work-force and those with additional needs.

Functional Area: FA - Finance Estimated Travel Percentage (%): Up to 25% Relocation Provided: No AIG Europe (Services) Limited AIG is an insurance company that’s helped people solve important problems for almost a century. We’ve long been known for our technical expertise, and creating innovative solutions for new and developing areas of risk that our clients may face. The Investments AI team at AIG supports this ethos by developing AI-first products – that is, apps and services that use machine learning to inform and assist their users – for AIG’s insurance and investments businesses. Our mission to create a safer world through the power of AI is achieved mainly through: The incubation of disruptive innovation via our diverse team of scientists, engineers, and designers who work collaboratively. AI, ML and NLP R&D contribution, including publications in top conferences and journals. The provision of machine learning advisory and consulting to AIG’s global businesses. Our solutions and innovations aim to reinvent AIG’s internal processes, improve AIG’s offerings, and ultimately disrupt the industry. As a critical role in Investment AI’s success, we’re looking to hire machine learning engineers to join our team and contribute to the development of the algorithmic core of a series of exciting new products and projects. Based from our London office, this is an exceptional opportunity for those who want to enjoy state-of-the-art R&D and be challenged and grow as a machine learning engineer. Along the way, this role will contribute to game-changing products that use AIG’s global network to deliver impact and change. Responsibilities and Performance Objectives Take ownership of a significant part of the team’s solution development Demonstrate end-to-end understanding of applications being created Partner with ML Researchers to push the boundaries on the performance of the latest methods applied to big problems across the investments domain Contribute to peer review process to ensure code quality Required Attributes Both senior candidates (i.e., with years of experience / leadership) and junior candidates are welcome to apply; we have and will offer positions appropriate to expertise and level of experience. The minimum required skills include: Ability to formalize learning problems with mathematical notation Hands-on experience solving machine learning problems Solid understanding of algorithms and data structures Detailed knowledge of ML evaluation metrics and best practice Up to date knowledge of ML literature and libraries (e.g. Tensorflow, Pytorch) Familiarity with build automation and continuous integration (e.g., Gulp, Grunt, Jenkins, CodePipeline) Experience deploying and maintaining ML algorithms in production environments Good communicator and team player MSc or PhD in relevant discipline An ideal candidate (is not required to, but) will also have SysAdmin skills Engineering for scale using cloud platforms (e.g. Amazon Web Services) Infrastructure-as-Code (e.g. Terraform, Cloudformation etc) The role is based in our Fenchurch Street offices in London and is paying a competitive salary and bonus. The closing date for applications will be 30th October 2019. It has been and will continue to be the policy of American International Group, Inc., its subsidiaries and affiliates to be an Equal Opportunity Employer. We provide equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. At AIG, we believe that diversity and inclusion are critical to our future and our mission – creating a foundation for a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our people are not only respected as individuals, but also truly valued for their unique perspectives.

Overview The Role and Team apetito has been on an exciting journey to embed data at the heart of strategy and the data analytics team is leading the journey. We are exploring apetito’s rich data assets with the exciting new technologies and tools that are now available and identifying new opportunities to deliver superior customer satisfaction and to grow the business. Who We Are About apetito apetito is the UK’s leading supplier of food to the health and social care sectors. Servicing over 400 hospitals, 450 care homes and thousands more through our work with Local Authorities, we produce delicious, nutritious and sustainable meals for people at home or in care. Through our food we look to ‘ make a real difference’   to all our customers, up and down the country. Our Values Established in 1958, as a family-owned business, our values sit at the very heart of what we do. We are proud to be a business that ‘ makes a real difference’ , committed to producing ‘ great food to be proud of’ . We have developed a range of products designed to ‘ enhance health and well-being’   for all our customers. We are proud supporters of British food and farming and focus on using the best ‘ ethical and sustainably’   sourced produce. We are driven by a ‘ passion for service’ , dedicated to feeding some of the UK’s most vulnerable people, offering healthy and delicious meals to customers across the UK. Ethical & Sustainable As a business which operates within food manufacturing, we believe we have an obligation to make a positive contribution on society. With over 300 products in our range, we ensure our produce is ethically and sustainably sourced, working only with suppliers who share our commitment to making a positive impact. We’re a proud member of the Ethical Trade Initiative (ETI), a leading alliance of companies, trade unions and NGOs, that promote respect for workers rights globally. All our new suppliers now operate under the ETI’s guidelines. We are also a member of The UK’s Plastics Pact, an initiative looking to transform the plastic packaging industry in the UK. As part of the initiative, we have committed, along with other ambitious targets, to eliminate unnecessary single-use plastic completely by 2025. We have also made a commitment to our employees – we’re recognised as an accredited Living Wage employer by the Living Wage Foundation. Joining an elite group of FTSE 100 companies and public sector organisations. Responsibilities As the Data Engineer, you will be an integral part of the team that is working on strategic data analysis and business intelligence projects that enable effective decision making within the organisation. The role offers you an opportunity to work on diverse data sets across geographies (we support UK, Ireland and North America) and across B2C and B2B businesses. You will lead the implementation of emergent technologies and tools and work in a fantastic, closely knit team as the technical guru. This is a fantastic opportunity to build and own the operations of a leading-edge data infrastructure that is fit-for-purpose, resilient, scalable and future-proof. You would be responsible for building and managing the data warehousing in Azure for all geographies and markets above. You would evaluate a wide range of data sources and develop and implement best practice in secure data integration. You will also support the analytics team in data mapping, building robust reporting and support the data requirement for data analytics and advanced predictive modelling. Qualifications You are a skilled Data Engineer with a strong SQL background and experience in building complex ETL pipelines. You would have extensive experience in data integration, ingestion and designing and implementing ETL architecture using a range of ETL tools and techniques. Our tech stack is primarily Microsoft and we are progressively moving to Azure so we are looking for demonstrated expertise on the Microsoft tech stack (Data Factory, SSIS, SSAS, SSRS, PowerBI etc.). You would have handled large amounts of data from multiple sources, internal and external, establishing secure data exchange protocols and would have skills in MDM and data governance. Any experience with SAP, Microsoft NAV, Business Central and/or in warehouse design with Kimball method would be a distinct plus. Have a strong understanding of Information Security principles to ensure compliant handling and management of client data Good stakeholder skills are vital with demonstrated experience of working with business analysts and data analysts on one side and with IT colleagues and external suppliers on the other. We are looking for a collaborative and enquiring mindset, an aptitude to problem solving and a keen focus on continued optimisation.

Ref #: CR - DE - LDNLocation: LondonSalary: OpenSector: TechnologyType: Permanent Data Engineer needed at all levels for a Global Data & Technology company who build a scalable platform that enables end-to end marketing advertising solutions ranging from AI-enabled products to data driven creative services. The core of the business is data and as a Data Engineer, you’ll be responsible for ensuring the development of their robust data platform. You’ll be part of the Data Intelligence Tribe which brings together all of the diverse data sources that then getting turned into intelligence. What you'll be doing: Working closely with a cross functional team of data scientists, engineers and product managers, you'll be an integral part of the data engineering chapter and be involved in developing big/fast data services to meet business objectives. You’ll also: Work with the business in designing and delivering data-driven products and promoting a data-driven culture Work with Engineers to develop big-data solutions Collaborate with Data Scientists to productionise and deploy models Design cloud infrastructure solutions Their stack consists of: Good software comes from balancing trade-offs in any given context and we value engineers who practice this way of thinking. Having a polyglot attitude to various programming languages and tools is a must as some of their tech includes: Python 3, Scala Apache Spark AWS cloud Databricks platform Airflow GoCD Terraform Pandas Jupyter What you'll bring to the role: Is pragmatism - they value software engineering craftsmanship and are looking for engineers who embody and understand good software engineering principles such as: Software design patterns Code modularity/reusability Refactoring SOLID principles DRY principles TDD/BDD End-to-end testing and are open to expanding to other disciplines such as: DevOps and Cloud infrastructure Requirements gathering

Date:   Jan 13, 2020 UDM Integration Engineer Location: Reading Salary: Competitive Posting Date: 13/01/2020 Application deadline: 12/02/2020 Company: Ericsson Overview: Ericsson is a world-leading provider of telecommunications equipment and services to mobile and fixed network operators. Over 1,000 networks in more than 180 countries use Ericsson equipment, and more than 40 percent of the world's mobile traffic passes through Ericsson networks. Using innovation to empower people, business and society, we are working towards the Networked Society, in which everything that can benefit from a connection will have one. At Ericsson, we apply our innovation to market-based solutions that empower people and society to help shape a more sustainable world. Job Summary The Integration Engineer will work on User Data Management (UDM) and Subscriber Data Management (SDM) Solutions within the Telco Cloud and the wider Telco Core & Cloud (TCC) Portfolio, having specific expertise to manage the software build, configuration, integration, troubleshooting and testing of such solutions in a customer environment. For example, deployment of new AMF/SMF/UPF container based nodes for a new 5G Core solution. You will need the ability to deep dive including hands-on analysis, within a 2G/3G/4G/5G environment. You will be leading integration activities towards the end customer, working closely with customer engineers, project managers and solution architects. Responsibilities & Tasks: You will be Technical SPOC for integration across all 2G/3G/4G/5G UDM related products You will drive the implementation and provide leadership to other integrators and technical Subject Matter Experts (SME) whether local or off-shore. You will secure quality in all deliverables, and adherence to customer ways of working, customer expectations and strict adherence to agreed timelines. You will be responsible for reporting progress, identifying risks & suggesting mitigations as well as supporting in analysing the impact of and feasibility of change requests You will ensure customer satisfaction during delivery and handover as well as providing feedback to R&D You will participate in knowledge transfer, documentation & information sharing Position Qualifications: Core Competences: Deep knowledge and experience in configuration, implementation, migration and troubleshooting of UDM solutions in native & virtualised environments. (HLR (FE), HSS (FE), EIR (FE) etc) Strong awareness of 5G CORE and implications on UDM/SDM related nodes. Good knowledge and experience in Telecom Core and associated nodes. Strong practical knowledge of Linux, Windows operating systems and IP networking Strong knowledge of working with VNFs (On VmWare or Openstack) Extensive Telco Industry understanding and experience Minimum Qualifications & Experience Requirements: Bachelors degree in Engineering, Electronics, IT or equivalent. Relevant (minimum 5 years) experience in delivery. Why Apply: Are you looking to take the next step in your career with a company who can offer professional progression? Are you looking to secure a role that offers the chance to positively impact future 5G Network deployment? Are you keen to work in a fast paced, collaborative environment with like-minded professionals? If the answer is Yes to all the above, Ericsson offers all of this and more! Why hesitate to apply? Ericsson provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetics. Ericsson complies with applicable country, state and all local laws governing nondiscrimination in employment in every location across the world in which the company has facilities. In addition, Ericsson supports the UN Guiding Principles for Business and Human Rights and the United Nations Global Compact. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training and development. Ericsson expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetic information. Primary country and city: United Kingdom (GB) || || Reading || IT Job details: Integration Engineer Job Stage 06