34 Artificial Intelligence jobs

Global Leader of AI Integration Strategy, MuleSoft Field Innovation Team The Global Leader of AI Integration Strategy helps organizations create value by applying artificial intelligence, machine learning, and other analytical techniques to their APIs and integrations. In this role, you will help lead the industry in synthesizing AI and ML with application integration and APIs, develop workshops to help educate and mobilize organizations in AI/ML-enabled integration, and help guide the development of aligned MuleSoft product offerings. Objectives/Activities Establish thought leadership in the use of AI and ML within an application network/ALC Help MuleSoft’s customers and prospects adopt AI and ML in conjunction with MuleSoft’s products Develop customer engagement offerings (workshops, etc.) to assist in this purpose Build a community of practice within the SE org and beyond to engage with customers using these offerings Provide insight and guidance to MuleSoft’ product teams on the use of AI and ML for customer use cases Liaise with broader Salesforce resources and teams (e.g. Einstein) Skills & Experience Thought leader in analytics, artificial intelligence, and machine learning Applied knowledge in application integration, cloud computing, and distributed systems Experience in customer consulting Strong written and verbal communication skills Accommodations   - If you require assistance due to a disability applying for open positions please contact the Salesforce.com Recruiting Department . Posting Statement Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay fees to any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org

Dual-headquartered in New York and London, Fitch Ratings is a leading provider of credit ratings, commentary and research. Dedicated to providing value beyond the rating through independent and prospective credit opinions, Fitch Ratings offers global perspectives shaped by strong local market experience and credit market expertise. The additional context, perspective and insights we provide help investors to make important credit judgments with confidence. Fitch Solutions delivers credit market data, analytical tools and risk services to the global financial community. In addition to offering proprietary market-based content, Fitch Solutions distributes the ratings, research and financial data of Fitch Ratings through a variety of flexible platforms. With innovation and experience behind every solution, Fitch Solutions helps financial professionals meet the diverse and evolving needs of today’s global markets. Fitch Ratings and Fitch Solutions, along with Fitch Learning and BMI Research, are part of the Fitch Group, a global leader in financial information services with operations in more than 30 countries. Fitch Group is majority-owned by Hearst. Fitch Ratings and Fitch Solutions are an equal opportunity / affirmative action employer, complying with all laws governing employment in each jurisdiction in which operating, and provide equal opportunity to all applicants and employees. All qualified applicants will be considered without regard to race, color, religion, gender, national origin, age, disability, marital or protected veteran status, sexual orientation, gender identity and other status protected by applicable laws. Job Description: Fitch Ratings’ Model Development Team (MDT) is the central hub for the development of new and the improvement of existing models used by ratings analysts. Taking advantage of modern programming and cloud technology, MDT’s mandate is to smarten up work processes and further improve Fitch’s already globally accredited analytical excellence. It employs teams in New York and London with a range of skills and backgrounds to help integrate robust data processing and statistical techniques as well as modern user interfaces into the ratings workflow. The open position forms part of the MDT’s newly created AI Analytical Applications group, a small, talented team working closely with other MDT units as well as the ratings teams to develop cutting-edge Artificial Intelligence / Machine Learning solutions for credit ratings analysis. The position focuses on insight generation and visualisation within the team’s production workflow. As an Associate Director / Director with a focus on insight generation and visualisation, you will be part of a dynamic team that transforms Fitch’s ratings business with innovative emerging technology solutions. Working closely with data scientists and data engineers you are contributing to prototypes and production models by rapidly developing insight-generating tools and graphical front-end solutions tailored to the needs of end-users. The ideal candidate for this position will already have several years of work experience in complex data analytics using modern statistical inference (including Machine Learning and Natural Language Processing) and have familiarity with the creation of interactive user-interfaces, preferably in Python or JavaScript. Experience in the financial sector, ideally in credit risk, and familiarity with cloud-based solutions (particularly AWS) would be a plus. Experience in presenting complex technical work to non-specialists is a must. Responsibilities: Source and analyse novel data sets using creative approaches; employ third-party ETL packages where appropriate Train, test, and assess the viability of models using standard Python packages (scikit-learn, TensorFlow, PyTorch) Integrate modern front-end interactivity and visualizations into the model workflow (e.g. via Plotly, Bokeh or Vue) Contribute across the entire development process: from proof-of-concept to prototyping to production Explore current state-of-the-art modeling approaches in the literature and adapt existing code to solve business challenges Position Requirements: Bachelor or Master’s degree in data science, computer studies, financial engineering or equivalent Experience in presenting complex technical aspects of your work to non-specialists Familiarity with data sources and data-related challenges in the financial industry Familiarity with credit risk management and credit assessment would be a plus Familiarity with cloud-based solutions (e.g. AWS) would also be a plus Proficiency in Python data science packages, such as pandas, scikit-learn, TensorFlow and/or PyTorch Strong ability to assess the performance of models and present findings in novel visual formats Passion for thinking creatively about applications of machine learning and NLP Excellent written and verbal communication skills Good organisational skills with the ability to shift fluidly between multiple projects as priorities change Fitch is an equal opportunity employer that employs people across the full spectrum of society. Fitch works hard to create a workplace with an emphasis on inclusion, innovation and merit. By valuing diversity and equality in our workplace, we believe it adds strength to our business. Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will asked to declare any securities holdings and other potential conflicts for you and your Family Members prior to commencing employment. If you, or your Family Members, have any holdings that may conflict with your work responsibilities, they must be sold before beginning work. In certain roles, employees and their Family Members may be limited to investments in diversified mutual funds only.

ABOUT THE ROLE Amnesty International is seeking a professional with demonstrated experience on technology and human rights, in particular artificial intelligence and human rights, to investigate, monitor and document human rights abuses related to artificial intelligence and human rights, as well as develop Amnesty’s policy and advocacy on this issue. The role also contributes to the development of national, regional and international strategies relating to research and campaigns on artificial intelligence human rights to achieve positive human rights impact. ABOUT YOU A suitable candidate must have significant knowledge and direct experience related to artificial intelligence and human rights and have in-depth experience of human rights research and advocacy: conducting research using cutting-edge research methodologies, analyzing and presenting findings, identifying advocacy targets and applying research-based analysis to formulate effective strategies for human rights improvements. JOB PURPOSE The purpose of this post is to develop Amnesty’s research, policy and advocacy on artificial intelligence and human rights. As a Researcher/Adviser on artificial intelligence and human rights, you will: Undertake desk and field-based research on the impact of artificial intelligence, big data and automated decision-making on human rights; Author position papers, reports, articles and other public outputs; Represent Amnesty International in front of governments, inter-governmental institutions and companies and advocate for the protection of human rights as they relate to modern technologies, in line with Amnesty International’s policies; Develop and implement advocacy strategies to deliver on Amnesty International’s technology and human rights priorities and deliver tangible positive human rights impact; Provide authoritative advice to country and thematic specialists in Amnesty International’s International Secretariat (IS) and national offices and sections. MAIN RESPONSIBILITIES: Undertake desk and field-based research on the impact of artificial intelligence, big data and automated decision-making on human rights; Develop and implement advocacy strategies on artificial intelligence and human rights Represent Amnesty International externally, including in governmental, inter-governmental, and other fora, as well as with companies, news media, civil society organizations and others; Identify opportunities for advancing human rights protections in the field of artificial intelligence and ensure that Amnesty International takes advantage of these opportunities; Develop and maintain effective constituencies of public and confidential contacts and partners in and outside of the organization - such as human rights activists, technology experts and activists, partner organizations, members of legal and other professions, UN agencies and governmental representatives - to optimize information gathering and verification and the development and implementation of effective strategies and plans; Provide authoritative expert advice on technology and human rights, particularly artificial intelligence and big data issues, to Amnesty International staff and the Amnesty International movement in order to ensure accuracy and relevance, and the integration of these issues into Amnesty International’s work; Write or contribute to the drafting of timely and effective reports, briefings, position papers, correspondence, action materials, press releases, and other internal and external documents in order to implement Amnesty International’s agreed strategies; Contribute to the development of programme and movement-wide strategies and plans for research and campaigning on technology and human rights; Participate in the coordination of the work of the technology and human rights team, including through setting priorities, preparing work plans, monitoring their progress and contributing to maintaining budgets; Manage specific projects within the framework of agreed strategies and timelines. This may include coordination of project teams and supervision of consultants; Perform all necessary administrative tasks to ensure effective self-servicing, participate in the recruitment and induction of new staff and consultants and perform other corporate tasks as appropriate. SKILLS AND EXPERIENCE: Extensive professional experience of conducting research on human rights issues in international settings; Expert knowledge of the international human rights legal framework, gained through experience working within or on the sector; Particular expertise on artificial intelligence and big data; Ability to represent Amnesty International to a variety of external stakeholders, to present ideas clearly, and advance compelling arguments in English; Excellent political judgement, strong analytical skills and the ability to think and plan strategically; Excellent written and verbal English and the ability to produce clear, persuasive, and concise research documents, policy positions and strategy papers; in addition, the ability to work to a high professional level in another widely used language will be an advantage; Strong interpersonal skills including advocacy, negotiating and influencing skills; Ability and self-driven interest to keep up to date with emerging artificial intelligence and big data trends; Good ability to evaluate situations and issues in the short, medium and long term, set strategic goals in accordance with organisational priorities, monitor plans, and evaluate outcomes; Excellent ability to plan and prioritize work, including when under pressure, and to ensure deadlines are met; Experience of working in a team, participating in the collective coordination of the work of the team by contributing to setting priorities, motivating self and others, and resolving team conflicts. ABOUT US Amnesty International is a global movement of more than 7 million people who campaign for a world where human rights are enjoyed by all. We reach almost every country in the world and have: more than 2 million members and supporters who drive forward our fight for rights more than 5 million activists who strengthen our calls for justice Our aim is simple: an end to human rights abuses. Independent, international and influential, we campaign for justice, fairness, freedom and truth wherever they're denied. And whether we're applying pressure through powerful research or direct lobbying, mass demonstrations or online campaigning, we're all inspired by hope for a better world. One where human rights are respected and protected by everyone, everywhere. At Amnesty International, we are passionate about what we do and we are proud of our achievements as a movement. To compensate our employees for the critical work they do, we reward them through a combination of an attractive and sector competitive salary and benefits package, high levels of engagement and involvement, and a commitment to employee development. Benefits include 37 days annual leave (inclusive of public holidays and grace days), pension scheme, employee assistance programme, life assurance and many more benefits designed to suit your own personal lifestyle. All of this, in a professional, engaging environment. For further information on our benefits, please visit https://www.amnesty.org/en/careers/benefits/

Data Scientists – PhD’s Basque Country, Northern Spain We’re recruiting several Data Scientists for a well-funded AI start-up in the Basque Country. You’ll be working on the design and continuous improvement of high quality and precision artificial intelligence systems. To do this, thorough statistical analysis of each of the objectives will be carried out and the most appropriate machine learning and data mining techniques will be applied in each case. Required knowledge: Ease of working with statistical elements such as probability distributions, statistical tests, correlation, etc. Extensive knowledge of the main machine learning algorithms (Bayesian networks, clustering, k-NN, SVM, Random Forest...). Extensive knowledge of the main techniques of machine learning (feature selection, regularization, cross-validation...). Experience in data pre-processing (cleaning, transformation and verification of the data used). Version control, continuous integration. Experience with recommendation systems. Experience with context-dependent systems. Knowledge of NLP. The following skills are a plus: Java, R. Relational databases, graph databases. Familiarity with No-SQL technologies. Familiarity with Hadoop technologies. Good communication skills, analytical skills, proactive and methodical, good attitude, motivation, orientated to problem solving. Project Management. Team worker and goal-orientated

We are currently expanding our research team with a Software Engineer: Python, Artificial Intelligence, Save Lives! for an organisation that is revolutionising the pharmaceutical industry, and who have recently received £15million in funding to rapidly expand their team. This organisation is a University spin out, and have a strong academic and industrial backing. As a Software Developer / Engineer, you will be able to prove your passion for changing the out-dated Healthcare system, by producing high-end, quality research in NLP, Machine Learning and Deep Learning, that could be evidenced at key International Conferences such as: NIPS, AAAI and ICML. This Software Developer / Engineer will be utilising state-of-the-art NLP and Machine Learning. We can drastically improve the time it takes to treat patients, with a goal of re-invigorating the NHS and other Medical Infrastructures across the world. Moving on to lay the foundations for how Deep Learning and NLP becomes entwined with Medical Healthcare. What we can offer a Software Engineer: Python, Artificial Intelligence, Save Lives! : Work as part of an established Software and ML Research team Competitive package Opportunity to remain within the academic field and work on industry led projects Bridge the gap between the Medical Research and Machine Learning Key Skills: Software Engineer: Python, Artificial Intelligence, Save Lives!:   Machine Learning, Deep Learning, NLP, Natural Language Processing, Python, PyTorch, Cython, Natural Language Processing, Engineering, Engineer, Developer, C++, Programmer, Programming, Development, Software, PhD, StartUp, Medical, Research, Researcher, PhD, Healthcare, Pharma, Big Data

A brand-new position for a Data Scientist with expertise in Artificial Intelligence has become available at an exciting business providing real-world commercial and clinical software solutions to NHS CCGs, GP Practices and NHS organisations. They are one of the leading consultancies for Practice Pharmacy in the South of England and have recently been nominated for a General Practice award in recognition of their innovative work with GP Practices! This is a fantastic opportunity to develop an AI driven Primary Care Workflow Automation System to collect, process and act upon patient data. This will involve Artificial Intelligence techniques such as Natural Learning Processing (NLP), Computer Vision (CV) and Machine Learning (ML). The AI Data Scientist position is initially on a fixed term 2-year (24month) KTP contract with the potential to go permanent with the KTP Partner Company. The financial package is highly attractive with a generous salary, benefits and personal development budget. Data Scientist – AI -required experience/knowledge: • Good degree (MEng, MSc or PhD) in Computer Science, Data Science, Statistics, Mathematics or related subject • Commercial experience in applied data science techniques – preferably within healthcare. • Good theoretical and applied knowledge of mathematical methods for data science, including foundational topics such as calculus, linear algebra, statistics and optimisation. • Good knowledge and experience of high-level programming in Python and the relevant data science Python stack (Numpy, Scikit-learn, Scipy, Xgboost) • Good knowledge of Neural Networks and the relevant Python Libraries (e.g. Keras, Lasagne, Tensorflow, Theano) The company may be able to offer visa sponsorship for the right candidate! Does this sound of interest? If so, do not hesitate to contact Darren Holmes of Vector Recruitment Ltd on 01234 436 136 or email Darren@vrl.co.uk

Imagination Technologies’ engineers are currently creating market-leading processor solutions to power world-changing electronic products. We need you to put your development skills to the test in creating GP-GPU based demonstrations. These GP-GPU applications may include machine learning/AI demonstrations and vision algorithms. As part of the Demo Team within PowerVR, you’ll be developing enticing demos to exhibit and exploit the impressive capabilities of PowerVR GPU processors. You’ll belong to the team that plays a key role in showcasing the market leading capabilities of our GPU technologies. You will Design and implement demo software to run on PowerVR Graphics and Neural Network Accelerators Work on GPU performance optimisation for neural networks Retrain and map different neural networks to run efficiently on Power VR hardware Abilities make possibilities Committed to making your customers, stakeholders and colleagues successful, you’re an excellent communicator, listener and collaborator who builds trusted partnerships by delivering what you say, when you say. You’re curious, solutions orientated and a world class problem solver who constantly seeks opportunities to innovate and achieve the best possible outcome to the highest imaginable standard. You have Strong skills developing and debugging in C++ Experience in Deep Learning algorithms, such as Convolutional Neural Networks, LSTM (Long Short-Term Memory) and Object Classification/Detection Experience with one or multiple Deep Learning Frameworks (Tensorflow/Pytorch/Caffe/Theano/Keras) Good experience with Linux OS Knowledge of computer architectures and cross-compilation Experience with Python You might also have Experience with training of supervised, unsupervised, and transfer learning algorithms Experience in at least one of the following Cuda/OpenCV/OpenVX/OpenCL OpenGL or other graphics API. Experience with Android OS and Android NNAPI. Until good is better and better is best Dare to dream big? We’ll encourage you to pursue your dream. We listen, we’re open and we’re honest. Whatever it is you need you’ll be respected and helped along your way. Invent the future The people at Imagination enable the tech that’s shaping our world, from virtual reality to smart phones, autonomous cars to space probes. It’s their creativity that has enabled Imagination to power world-changing electronic products.

Ever wondered what it would have been like to have worked at companies like Uber, Spotify, Airbnb from the early stages and found yourself thinking wow I'm sure they've lined their pockets well and had a lot fun - well now's your chance to have a go and experience it yourself from the beautiful setting of Cambridge. You'll be joining a heavily funded Artificial Intelligence startup working at creating driverless cars and essentially building/creating an Uber but without the uncomfortable chat of their drivers and not to mention their dodgy driving.... The founders of this startup are incredibly famous British technologists who are the kind of people that appear in the Times and BBC News rather than just TechCrunch and where one of their previous companies was valued at £25 Billion... We're looking for a DevOps Engineer that wants to join a company at ground zero and build up their DevOps function working with immutable infrastructure, infrastructure as code and really immersing themselves in both Software and DevOps Engineering. If you wish to hear some more details then click apply now or give me a call on 07494421045. Please note that no terminology in this advert is intended to discriminate on the grounds of age, and we confirm that we will gladly accept applications from individuals of any age for this role. LinuxRecruit is a leading open source specialist and provides services as an agency and an employment business

Unlock the seriously huge potential at a very early stage, with a company focussed on Artificial Intelligence, and specifically driverless cars. Be involved in building the Uber for driverless cars! (just with a slightly better reputation...) With an equity stake at a company with less than 30 staff, and 30million funding, there is an opportunity to change the automotive industry as we know it. Your role will be DevOps Ground Zero, building the 'DevOps' Engineering function from the ground up. Due to the nature of the AI world you'll operate in, there are unprecedented levels of raw data that need to be manipulated and replicated to advance the technology. We require someone who can be both hands on and involved in a strategic level. For instance, what cloud platform do they adopt - AWS, Azure, Google? Or none of the above. You'll understand immutable infrastructure, you'll be interested in infrastructure as code, in containers, you'll be following the orchestration battles and will have a deep understanding of virtual machines. In addition to this, you'll understand what it takes to work for an early stage, high growth tech start-up. That everyone chips in where they need to, rolling up their sleeves to get their hands dirty in things not confined to 'their remit'. In return, you'll have the opportunity to work with some of the worlds smartest software engineers, on a product that could be potentially first to market, and genuinely ground breaking. Due to the nature of the role, you'll also be involved in the corporate infrastructure as the company grow, with a view to hiring people under your wing to manage the internal IT. The role incorporates multiple functions, with significant breadth and autonomy. A huge role, great technology, great people and an unbelievable concept. Please get in touch for a conversation to be considered... Key words:   Linux, LDAP, DNS, DHCP, Bash and Python scripting, Puppet, Ansible, Chef, Security, Virtualisation, Agile, Github, Docker, AWS

DevOps Engineer position based in Central London - 55-70k Experience in Linux Systems and AWS? Wanting to get in the growing Artificial Intelligence Environment? Are you coming from a software background? If you are nodding your head to each of these questions then it would be great to hear from you as this opportunity will not be around for long. The company in mind works alongside all things in insurtech, you would be responsible for supporting and automating claims with the use of Artificial technology. This permanent position is well suited to an individual that is looking to advance their career in Artificial Intelligence and gain hands-on experience in a thriving and supportive workplace. The tech stack included within this role would be AWS, Ansible, Docker, Terraform, Jenkins. You would have the opportunity to work alongside other like-minded technicians who would support and develop your tech. So if you're looking to get hands-on in maintaining and supporting the research and working with some of the future technology within Artificial Intelligence then this is a too good an opportunity to miss. If this is of interest, please get in touch.

Dataiku’s mission is big: to enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation. Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Evangelist team is at the beginning of this journey, explaining, educating on the business value generated by this transformation. At Dataiku, we all have customer best’s interest always in mind, and as an evangelist this is one of your priority. Listen, understand and help them identify innovation opportunities using Machine Learning and Artificial Intelligence. RESPONSIBILITIES Work with Dataiku customer facing teams to develop new opportunities Meeting with Customer to explain the value of AI in different industries and more specifically what Dataiku can help them achieve Work with the marketing/sales team in planning and executing demand & lead generation campaigns Produce thought leadership and/or product-related materials in various form (blog articles, whitepapers, videos, other marketing collateral …) Explain the business value realized by our customers with Dataiku to our customers and to the market (in collaboration with our Customer success team) Attend/Speak at professional conferences. Core skills and talents: With your technical and business background, you do have the ability to analyze customer challenges and then articulate them into new opportunities. You are really willing to work with others, this is a team sport, from Marketing to Partners, to customers and the global ecosystem. You are seen as a trust advisor You do have strong communication skills and you are willing to share your point of view in front of various audience (CxO, Events, Interview…), you should inspire people to think differently. You are able to articulate and present complex concepts into simple message. Deep understanding of the Machine Learning ecosystem and business value drivers. Able and willing to learn every day on a constantly evolving market. Passion for what you doQualifications: 10+ years experience in consulting or software & technology Advanced degree in Statistics, Data Science, Economics or other related field Excellent analytical, critical thinking, and creative problem-solving skills Good communication skills with the ability to clearly articulate and present complex situations and concepts Good understanding of the technical ecosystem To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. We now serve our global customer base from our headquarters in New York City as well as offices in Paris, London, Munich, Amsterdam, Denver, Los Angeles, Singapore, Sydney and Dubaï. Each of them has a unique culture, but underpinning local nuances, we always value curiosity, collaboration, and can-do attitudes!

Graduate software engineer sought by this leading data product consultancy working in developing and managing complex products and projects for organisations predominantly in the travel sector. Working within their R&D team, you will be involved in developing and enhancing their products, researching and developing in areas such a machine learning and artificial intelligence. Tasks could involve working on general software engineer and cybersecurity You will be a strong Computer Science graduate with a passion for learning and problem solving, and receive excellent training with their tools and products. You will have a good understanding across various programming languages, possibly Java, .NET or Python, and any knowledge of database technologies, such as SQL, would be useful Will suit a recent local graduate with an excellent computer science degree looking for their first IT role; within a growing, market-leading technology-driven business. You must have a hunger to learn too! Based near Warrington / Runcorn with excellent transport links. Easily commutable from Liverpool, Manchester, Stockport, Altrincham, Chester, etc

Capco is looking for an experienced Digital – A.I. Model Integration Analyst to assist us on what will initially be a 6-month long contract assignment. Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can. We believe that everyone brings something different to the table – so we’d love to know what makes you different. About Capco Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry. We are: Experts in banking and payments, capital markets and wealth and asset management Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture Capco is looking for talented, innovative and creative people to join our Machine learning team to work on several exciting new technology initiatives like Blockchain, Machine Learning, Artificial Intelligence and Open APIs. What we’re looking for: Data Scientists experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems and have demonstrable experience deploying machine learning models into production environments. The successful candidate will play an active part in designing and developing data science solutions that utilise our extensive big data assets together with the latest machine learning techniques to improve our client’s predictive modelling capability. The successful candidate will also be responsible for defining the data pipelines from multiple source systems and data preparation/wrangling process for model maintenance and learning in preparation for production releases. Key responsibilities include: Leveraging machine intelligence techniques, including neural networks, deep learning, random forests, image processing, and analytical expertise to explore and examine data from multiple disparate sources to provide a competitive advantage or address a pressing business problem. Implementing custom algorithms and creating flow processes, layouts for complex modelling, data mining, statistical analysis, and research purposes. Staying up–to–date on the latest machine learning capabilities. Working with the data and infrastructure teams to develop end to end production ML systems Migration of AI concepts through a governance model including selection, risk management, approval, etc. Essential skills Degree/MSc/PhD in either computer science, machine learning, data mining or statistical learning, or related discipline. Proficiency in statistical modelling and machine learning techniques e.g. k-means, decision trees, neural networks, ensemble learning, etc. Expertise in at least one programming/scripting language e.g. Python (desirable), R Experience with Data science toolkits for ML and deep learning (scikit-learn, SparkML, Tensorflow, Keras) Strong communication and presentation skills, including the ability to translate analysis to non-technical audiences. Deploying machine learning models in to production environments. Experience in Agile development methods Desirable skills Experience using machine learning techniques to solve problems involving high-dimension unstructured data would be an advantage. Financial services industry experience Developing for Big Data technology stacks (Hadoop ecosystem, Spark, Kafka, NoSQL databases etc) Exposure to cloud computing (GCP preferably, AWS, Azure) Data Visualisation tools (Tableau, QlikView etc) Entries into Kaggle Competitions

Introduction Software Engineer-Artificial Intelligence tech If you’re an experienced Software Developer with a passion for delivering enterprise grate software and an interest in Artificial intelligence and Cyber Intelligence this role will be of interest. Client The client is an established global Software House, providing cutting edge Cyber Intelligence software. Their modern offices will be located in Belfast with excellent transport links and free on-site parking. The atmosphere is professional but informal with regular team events and a casual dress code With exciting expansion plans over the next few years the client is keen to secure the very best Software Engineering talent across all levels of experience Responsibilities As a Senior Software Engineer your role will be challenging and varied using cutting edge technologies to build high quality product features Delivery of high quality product features Utilise new technologies & architectures Work with the QA team to create test plans and automate tests Evolve development practices to improve productivity Contribute to daily stand-ups, sprint planning meetings and retrospectives The Ideal Person This role would be ideal for an ambitious Software Engineer with a technical background and an interest moving into a word class client that offers long term progression and development 4+ years experience in a Software Engineering/Development role Experience in developing high quality solutions to meet functional specifications Experience in C# and .Net framework Working knowledge of SQL, Git and REST API patterns Strong organisational, analytical, and time management skills is essential The ability to work as part of a team and lead from the front and a drive to self-develop are also highly desirable. Remuneration In order to attract the very best talent on the market a generous remuneration package is on offer including flexible working and work from home options plus a range of benefits. For further information on this vacancy, or any other IT roles in Belfast or wider Northern Ireland, please apply via the link below or contact Neill Ferguson in the strictest confidence on 02890 330 250 Job Reference: 1721-NF_1582113614 Salary: £40000 - £50000 per annum + flexible working Salary per: Annum Job Duration: Job Start Date: Job Type: Permanent Job Location: Greater Belfast Job Industry: Open Source Development Job Skill: mining, intelligence, cyber, API, .NET, Agile, Belfast, c++, Data, Developer, Engineer, GIT, Lead, Principal, Scrum, security, Senior, software, SQL

Department: AI Job Title:   Data-Scientist/Artificial Intelligence Scientist Reports To (title): Career Level: Location:   London/ Munich Hours of Work: Standard Business Hours Line Management Responsibility: Paul Power WHAT’S YOUR NEW ROLE ABOUT? Do you have a background in Data Science, Machine Learning, Computer Vision, Physics, Statistics or Probability Theory? Do you have a passion for sport and football in particular? Do you live to find data driven solutions to complex problems? Come join our team at Stats Perform as a Data Scientist building predictive models with modern deep learning tools that will be utilized by the world’s leading technology companies, sports franchises and sports book operators. HERE’S YOUR ROLE BROKEN DOWN (NOT ALL OF IT, JUST THE MOST IMPORTANT STUFF) Researching, developing, and implementing the most innovative machine learning and computer vision techniques to Stats Perform’s wealth of sports data (both structured and unstructured) Productizing artificial intelligence-based solutions alongside engineers and product teams Providing technical guidance to product teams on the artificial intelligence (machine learning and computer vision) approaches appropriate for a task Patenting the innovative solutions DO YOU HAVE THESE ESSENTIALS? Bachelor’s, MS or PhD in computer science or related quantitative field. Expertise in using Python, C++, or other programming language Substantial experience with unstructured data sources, especially in areas such as spatiotemporal data, video/image, speech or text data Proficiency in, at least, one modern deep learning engine such as Tensorflow, PyTorch etc. Proven track record of innovation in creating novel algorithms and advancing the state of the art Passion for creating new technologies with high product impact within sport. IT WOULD BE GREAT IF YOU HAD THESE DESIRABLES TOO Knowledge of using GPUs Previous experience working in performance sport setting HERE’S A LITTLE MORE ABOUT US Stats Perform collects the richest sports data in the world and transforms it through revolutionary artificial intelligence (AI) to unlock the most in-depth insights for media and technology, betting and team performance. With company roots dating back almost 40 years, Stats Perform embraces and solves the dynamic nature of sport – be that for digital and broadcast media with differentiated storytelling, tech companies with reliable and fast data to power their own innovations, sportsbooks with in-play betting and integrity services, or teams with first-of-its-kind AI analysis software. As the leading sports data and AI company, Stats Perform works with most of the top global sports broadcast companies, tech companies, sportsbooks, teams and leagues. THE BENEFITS YOU WILL ENJOY WHEN YOU JOIN WILL INCLUDE… 25 days’   annual leave (increasing by 3 days after 3 years), single cover Aviva   Private medical insurance* ,   Life Assurance   (4x annual salary),   matching pension   contributions up to 5%,   Travel Loan ,   Cycle to Work   Scheme *   and more. And there’s more……   you’ll have access to our   online learning porta l and be part of our   Career Deal,   which aims to support your   continued professional   development . We also have a   structured management development programme   and a   financially rewarding ‘Refer a Friend’   scheme. Please Note   - some of these benefits will be available to you upon successful completion of your probation.

Description Computer Vision Engineer WHAT’S YOUR NEW ROLE ABOUT? At Stats Perform, we have a world-class artificial intelligence team, which has the aim to maximize the value of the enormous amount of sports data that we have at our disposal. As a Computer Vision Engineer, you will be part of our AI Team working on revolutionizing the world of sport using our new Computer Vision innovations. What You’ll Do: Develop and implement the most innovative computer vision solutions on sports video data Deploy computer vision systems in the field by designing and developing production quality code Work with back-end and front-end developers as well as the product team Keep current with latest trends and technologies, to continually improve computer vision systems What You’ll Need: Masters or PhD in Computer Science in computer vision domain. 5-7 years’ experience in developing computer vision applications Programming fluency in C/C++, OpenCV and programming on GPU Normal to medium level experience with GPU technologies and frameworks – CUDA, NVIDIA computer vision SDKs Strong software, hardware, and systems development understanding necessary for building real-time computer vision applications General understanding of computer vision concepts (Feature extraction, training regimes, multi-view geometry, bundle adjustment, SLAM etc) Collaborative attitude with excellent verbal and written communication skills Ability to document design and document code, write unit tests Normal to medium level experience with TDD (test driven development) Good to have qualifications Deep Learning knowledge with in computer vision space (Object detection, re-identification, semantic segmentation) Knowledge in multi-object tracking principles and multi-camera calibration Ability to apply deep learning to vision data, preferably direct experience with TensorFlow Knowledge of H264 & MPEG4 video standards, and experience with hardware compression engines, video processing pipelines. Stats Perform provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability or genetics. HERE’S A LITTLE MORE ABOUT US Stats Perform collects the richest sports data in the world and transforms it through revolutionary artificial intelligence (AI) to unlock the most in-depth insights for media and technology, betting and team performance. With company roots dating back almost 40 years, Stats Perform embraces and solves the dynamic nature of sport – be that for digital and broadcast media with differentiated storytelling, tech companies with reliable and fast data to power their own innovations, sportsbooks with in-play betting and integrity services, or teams with first-of-its-kind AI analysis software. As the leading sports data and AI company, Stats Perform works with most of the top global sports broadcast companies, tech companies, sportsbooks, teams and leagues. THE BENEFITS YOU WILL ENJOY WHEN YOU JOIN WILL INCLUDE… 25 days’   annual leave (increasing by 3 days after 3 years), single cover   Private medical insurance* ,   Life Assurance   , P ension   Travel Loan ,   Cycle to Work   Scheme *   and more. And there’s more……   you’ll have access to our   online learning porta l and be part of our   Career Deal,   which aims to support your   continued professional   development . We also have a   structured management development programme   and a   financially rewarding ‘Refer a Friend’   scheme. Please Note   - some of these benefits will be available to you upon successful completion of your probation. Primary Location :   United Kingdom Job :   IT Schedule :   Full-time Employee Status :   Regular

You will be an intern researcher or engineer focusing on any one or more of the following areas: deep learning, machine learning, control systems, simulation, optimization, and knowledge representation applied to diverse areas such as: geometry, robotics, advanced sensing, design exploration and sustainable engineering or construction practices. The labs also host product engineers resulting in early productization of our research, so you can see your work in action. Responsibilities Prototype AI agents and machine learning algorithms Collaborate with researchers and developers in the team Participate in brainstorming sessions and come up with innovative ideas Read papers and perform literature reviews Evaluate existing algorithms and reproduce results on specific datasets Explore, prototype and develop new AI agents and machine learning models and techniques Introduce creative approaches to research topics and generates new approaches, perspectives and solutions to research topics Minimum Qualifications A student or graduate in a field related to AI such as: Computer Science, Mathematics, Statistics or Physics Background and experience in one of the following: Artificial Intelligence, Machine Learning, Deep Learning, Data Science Excellent Programming and software development skills and experience with Python Experience with at least one of the DL platforms (TensorFlow, Keras, PyTorch, etc.) Good background in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, Graphical Models, dimensional reduction, clustering, classification, regression techniques, etc) Familiarity with Deep Learning techniques (e.g. Network architectures; regularization techniques; learning techniques; loss-functions; optimization strategies etc.) Excellent math skills (Linear Algebra, Probability, Statistics, Calculus) Good communication skills and an awareness of how to communicate data and results effectively Comfortable working in newly forming ambiguous areas where learning and adaptability are key at times, the ability to lead and rally stakeholders and team members Preferred Qualifications Professional work experience in research or software development teams Experience in: Linux, bash, git, docker 3D graphics / 3D geometry manipulation / computational geometry Deep style transfer, geometric deep learning, reinforcement learning Distributed Systems and High-Performance Computing methods (AWS, GC, Cluster computing, multiprocessing, etc.) Advanced simulation methods such as: FEA, CFD, Shape and Design Optimization, Photo-Realistic Rendering, etc. C++ / CUDA Natural Language Processing Knowledge Representation (semantic models, graph databases, etc.) Latex About Autodesk With Autodesk software, you have the power to Make Anything. The future of making is here, bringing with it radical changes in the way things are designed, made, and used. It’s disrupting every industry: architecture, engineering, and construction; manufacturing; and media and entertainment. With the right knowledge and tools, this disruption is your opportunity. Our software is used by everyone - from design professionals, engineers and architects to digital artists, students and hobbyists. We constantly explore new ways to integrate all dimensions of diversity across our employees, customers, partners, and communities. Our ultimate goal is to expand opportunities for anyone to imagine, design, and make a better world.#LI-POST At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider employment for all qualified applicants regardless of criminal histories, consistent with applicable law. To all recruitment agencies: Autodesk does not accept unsolicited headhunter and agency resumes. Autodesk will not pay fees to any third-party agency or company that does not have a signed agreement with Autodesk, Inc.

Main duties & responsibilities Who we are Throughout the world, BNP Paribas employees are in touch with the real economy. They help women and men, as well as businesses, associations and institutions, to build their projects and solve concrete problems. As a large international company and a large banking group, we have the human, technological and financial means to help move the lines, to be part of the solution, to be forerunners. Our company is transforming its model to be more digital and client-centred. This movement goes hand in hand with an enrichment of our mission to society as a whole. Business Overview Our RISK Artificial Intelligence Research team is here to drive the bank's digital transformation through the development of strategies and recommendations based on advanced analytical methods. The time spent within RISK AIR is devoted to using our knowledge in data flow and artificial intelligence and our analytical skills to interpret large data sets and solve the concrete problems of our businesses, functions and clients. At the same time, we are trying to put at the service of our problems the latest advances in the academic world, for example work on the interpretability of models or progress in terms of targeted sentiment analysis. If you are passionate and want to work in a dynamic, multicultural and multidisciplinary environment, our team is the one you need. Role responsibilities Within this team (15 people), you will be asked to contribute to the analysis and modelling of structured and unstructured data and to provide a workable solution for the missions assigned to you. You will work closely with other Data Scientists and Data Engineers. You will be responsible for ensuring consistency and sharing your ideas. Your work will not simply be a traineeship subject, but will be of crucial importance in the course of the project on which you are assigned to. It will be visible in all entities with which RISK AIR collaborates and will therefore have a direct impact on the team and its influence within BNP Paribas. Primary Responsibilities: As a Long-Term Intern, you will work directly with the RISK AIR team based in London. Responsibilities include: Research of Machine Learning and Statistical models on various real life dataset to address the pain point of the business within BNP Paribas RISK. Examples include fraud, sentiment analysis and corporate distress. Perform initial data analysis to understand the dataset fully and apply appropriate data pre-processing. Communicate our research and findings to the business users in a clear and succinct manner. Technical skills and qualification Algorithms for machine learning (supervised, unsupervised, semi-supervised), deep learning, Language processing (information extraction, sentiment analysis) Other AI: information retrieval, Bayesian networks, reinforcement learning You also have a solid foundation in descriptive statistics, inferential statistics, Bayesian statistics, stochastic processes, Markov chains, time series, algebra, game theory. And you have a good knowledge/experience with the development of these techniques: Analysis: Python, R Integration: Gitlab, Bitbucket. A good knowledge of the environment and of the distributed calculation is a plus: Hadoop, YARN, Pyspark, Spark, Hive, Pig. Conduct Be a role model, supporting and fostering a culture of good conduct Demonstrate proactivity, transparency, and accountability for identifying and managing conduct risks Consider the implications of your actions on colleagues Duration:   6-11 months Start Date: April Salary:   Competitive April Closing Date:   March 2020