17 jobs found

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Principal Cyber Machine Learning Engineer. The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security). The Principal...

KTP Associate in Machine Learning   ( Job Number:   25000811 ) Department of Computer Science Grade 7: - £39,105 - £43,878 per year Fixed Term - Full Time Contract Duration :  30 months Contracted Hours per Week :  35 Closing Date :  21-Jul-2025, 5:59:00 PM Disclosure and Barring Service Requirement :  Not Applicable. Durham University Durham University is one of the world's top universities with strengths across the Arts and Humanities, Sciences and Social Sciences. We are home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to people's lives. The University sits in a beautiful historic city where it shares ownership of a UNESCO World Heritage Site with Durham Cathedral, the greatest Romanesque building in Western Europe. A collegiate University, Durham recruits outstanding students from across the world...

Hello! We're Teya. Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance. At Teya we believe small, local businesses are the lifeblood of our communities. We’re here because we don’t believe there’s a level playing field that gives small businesses with a fighting chance against the giants of the high street. We’re here because we see banks and legacy service providers making things harder for them. We don’t think the best technology or the best service should be reserved for those with the biggest headquarters. We’re here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us. Become a part of our story. We’re looking for exceptional talent to join our mission. We offer a chance to create impact in a...

We are seeking to recruit an creative, highly-motivated senior post-doctoral researcher to work on the development and implementation of deep learning workflows to be applied to digital elevation models, satellite altimetry, and optical imagery. Joining the UK’s Centre for Polar Observation and Modelling (CPOM), and the Centre of Excellence in Environmental Data Science, you will work on the ERC-selected Greenland Subglacial Lake Observatory (GLOBE) project, which aims to identify, monitor and forecast subglacial lake activity beneath the Greenland Ice Sheet. As part of this project, you will work to develop and implement machine learning approaches to identify lakes and lake drainage behaviour, and to deploy these workflows at scale. Based at Lancaster University, you will join our dynamic and rapidly-growing group of polar researchers, who use satellite observations, climate models and field measurements to study the cryosphere. We offer an ambitious,...

About the Role At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Machine Learning (ML) Engineers work in cross-functional teams of engineers, data scientists, and product managers to build the algorithmic products that power the company. We are embedded in product teams, close to the business problems and go after some of the hardest problems. ML Engineers translate a fuzzy business problem to a concrete pipeline that we design and implement. We then work closely with the engineers to deploy our models to production and with data scientists to run experiments based on these algorithms. ML Engineers at Deliveroo report...

What you will be doing Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members. Work with Data Science teams to facilitate smooth model handover and ensure deployment readiness aligned with implementation standards. Build and maintain CI/CD pipelines for model deployment, scoring, and operational monitoring. Debug and fix pipeline issues including data ingestion problems, model scoring failures, and deployment errors. Write comprehensive tests for ML pipelines (unit, integration, validation) and implement data quality checks and operational monitoring. Ensure deployed models meet audit, reconciliation, and governance requirements. Monitor production models for operational health, troubleshoot failures, and track data/variable drift over time. Work with Platform Engineers within the team to create reusable MLOps templates and support Data Scientists in...

The Team At Deliveroo we have a world-class data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams to answer some of the most interesting questions out there. For example, how do data and technology help restaurants to grow as consumer habits change? How can we predict what someone wants to order for dinner long before the idea has even crossed their mind? At Deliveroo these are just some of the tough problems we are solving - and there is no challenge that cannot be yours. No solution is owned by a particular team, which means the scope for growth and personal impact is enormous. Data Scientists and ML Engineers at Deliveroo report into our data science management team, and we have a strong, active data science community, with guest lecturers; a robust technical review process; a career progression framework; and plenty of opportunities to learn new...

Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day. It’s why we’re on a mission to create an automated quoting engine, with the simplest of experiences, wrapped in a brand everyone loves! We change lives by making it simple to switch and save money and that’s why good things happen when you meerkat. We’d love you to be part of our journey. As the Senior Manager for Machine Learning Engineering, you will lead, scale, and continuously mature a high-performing team delivering high quality machine learning solutions. Drive the long-term technical strategy, delivery excellence, and team development for ML engineering across the organisation. Working closely with Data Science, Product, Technical Capabilities, and wider Engineering leadership, ensure ML products and platforms are robust, secure, scalable, and aligned with strategic business outcomes. Lead by example in embedding engineering best...

Machine Learning / MLOps Engineer – UK (Hybrid) London/ Leeds Contractor Inside IR35 / FTE | Hybrid (Mostly remote with occasional office visits) UST is hiring a Machine Learning/ MLOps Engineer to join our growing UK-based team in either London/ Leeds, who work on cutting-edge machine learning projects using the latest MLOps tools and cloud platforms (GCP & AWS). The Role: Build and deploy ML models using TensorFlow, PyTorch, Scikit-learn, XGBoost, and more. Automate ML pipelines with Kubeflow, MLflow, Vertex AI, or SageMaker. Work with Docker, Kubernetes, and CI/CD tools (GitHub Actions, Jenkins, etc.). Monitor and improve model performance in production environments. Collaborate with data scientists, engineers, and product teams to deliver impactful solutions. What You’ll Bring: Minimum of 5 years of experience in ML/MLOps roles. Strong skills in  Python , containerization, and cloud deployment...

Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day. It’s why we’re on a mission to create an automated quoting engine, with the simplest of experiences, wrapped in a brand everyone loves! We change lives by making it simple to switch and save money and that’s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will identify the tech requirements to productionise automated, scalable and stable Machine Learning products integrated into production systems that deliver actions and / or actionable insights. Everyone is welcome. We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an...

Viridien ( www.viridiengroup.com ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details We are looking for skilled and innovative individuals to join our dynamic team. This role is ideal for those who have a strong foundation in machine learning (ML) and programming, coupled with an innate curiosity and drive to tackle complex challenges. Reporting to the Head of AI Lab, you will be primarily responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You'll collaborate closely with experienced engineers and data scientists to...

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. This is a role based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab. The role We are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows team This is an exciting role. You will develop greenfield solutions to meet highly complex ML interdependency requirements. Where off-the-shelf tools fall short, you’ll build custom solutions to define best practice across quantitative research. Future projects include: Implementing best...

- High-School or equivalent diploma. - Proven experience working with written language data, including experience with annotation, and other forms of data markup. - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM - Ability to effectively write and evaluate diverse subject matter across various domains - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Amazon is looking for...

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity. We're looking to add Senior and Staff Machine Learning Engineers to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle. Want to learn more about our Data Science Team:...

Who we are Gartner’s Consulting business is an   extension   of Gartner’s industry-leading IT Research. From CIOs to leaders in business and government, we help Gartner clients across enterprises translate insights into transformational actions and achieve their mission-critical priorities. Leveraging the breadth of Gartner’s resources, Consulting is growing rapidly, with unlimited potential to continue expanding our client base. What we do In our Technology Strategy Consulting business, we help the C-suite make the right decisions based on how technology can transform their businesses. In today’s world, a consulting firm that is “born digital” (with the ability to directly leverage the full power of Gartner’s research and insights) is relevant to the most important strategic decisions any business will make. We deliver value to clients in areas such as IT Strategy Consulting, Benchmarking, Analytics, and Optimization. Typically, this helps Gartner’s clients to...

  Job summary Defence Digital ensures our Armed Forces remain among the most technologically advanced in the world. We do this by putting innovative and effective technology into the hands of over 200,000 users, from the boardroom to the front line. We lead on cutting-edge data science, automation, and cyber security at scale. Our mission goes beyond the battlefield by leading humanitarian efforts and driving digital innovation that impacts lives across the globe. Defence Digital forms part of Strategic Command which manages the MOD’s joint capabilities for the Army, RAF, and Royal Navy. Watch  to find out more about what we do. Passionate about using your skills to make a critical difference? Your next career move could be here. This position is advertised at 37 hours per week. Job description As Cyber Security Lead Advisor, you’ll provide impartial advice to senior leadership and desk-level...

  The Firm Risk Management division is at the core of the firm's activities, and its role is evolving and expanding in line with changing industry standards, regulatory requirements, and commercial pressures. This role (AI/ML Model Developer) will reside within Firm Risk Management's Risk Analytics Department, specifically the Risk Artificial Intelligence Applications team. The role will be responsible for the design and development of Artificial Intelligence applications. Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks. About Morgan Stanley Morgan Stanley is a leading global financial services firm providing a wide range of investment banking,...