1,501 to 1,525 of 3,260 Machine Learning Jobs in the UK

seasoned member of an agile team to design and deliver market-leading technology products, focusing on Cloud-native data, backend engineering, and AI/ML engineering. The ideal candidate should have strong skills in Python and experience in building high-quality production code and implementing data engineering solutions. #J ...

across CI/CD, infrastructure provisioning, and tooling. The ideal candidate brings deep DevOps heritage and excels at scaling automation, collaborating with AI/ML teams to deploy and operationalize models, and mentoring #J-18808-Ljbffr ...

related research experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobile ...

fast-moving field and bring the best of it into the work. What we’re looking for 5+ years in ML/AI engineering with models shipped to production. Strong Python and the modern ML stack (PyTorch, scikit-learn, etc.). Hands‐on experience with LLMs, embeddings, and retrieval‐augmented ...

most successful games company in the world, and we’re just getting started. The role is leading the Group data&ML team The team is a central function that works both with other central group functions like marketing and game solutions, and the game studios which are part of Tripledot. … Within the team, you’ll be working with other AI/ML Eng, Data engineers, ML Ops, Data scientists, analysts and product owners. Role Overview We are looking for a practical, commercially-minded, results-oriented person to collaborate with studios and group functions and lead AI/ML/Data ...

Ads in London is seeking a Senior Software Engineer to help build next-generation technologies and scalable systems across AI, data pipelines, and full-stack work. You will join a full-stack team owning end ...

A leading streaming technology company in Cambridge is seeking a Senior Software Engineer to join their UI team. In this role, you will design and optimize systems for Roku's user experience across millions of ...

Attercop Limited is seeking an experienced AI/Software Engineer to design, build, and deploy production-grade AI services. You’ll work at the intersection of software, data science, and MLOps, turning research into scalable ...

reins and drive impact, we’ve got an opportunity just for you. As a Senior Lead Software Engineer at JPMorganChase within the AI/ML & Data Platforms group, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software ...

Senior AI/ML Engineer – 12‐month Fixed‐Term Contract, West London. Hybrid work model: onsite 2 days per week. Responsibilities Design, train and optimise machine‐learning models focused on user personalisation, including recommendation engines, ranking algorithms, user segmentation and content analysis. Construct and maintain robust, scalable data … pipelines for feature engineering and model training, handling both structured and unstructured large‐scale datasets. Deploy and supervise ML models in production, ensuring high availability, optimal performance and continued relevance. Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous ...

Data Scientist London or Leicester (2 days per week) Join a growing Data Science team where you'll build machine learning solutions that directly influence customer engagement, retention, and commercial performance. This is a highly visible role with significant stakeholder exposure and the opportunity to work on both … deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks and ML lifecycle tools is beneficial ...

Principal Product Manager with ML and LLM knowledge? Consortia has partnered with a London-based FinTech seeking an experienced Principal Product Manager to join a cross-functional squad focusing on ML and LLM features that harness the power of data science and machine learning technologies. Job Title: Principal … stock options What you can expect in your new role: You have expertise in B2C products that harness the power of data science and machine learning technologies. You guide and keep the squad motivated and focused on the key priorities. Guide the strategy and decision-making alongside your ...

JPMorgan Chase is seeking an Applied AI ML Director - NLP/LLM and Graphs within the Machine Learning Centre of Excellence (MLCOE). You will apply advanced ML methods to NLP, graph analytics, speech analytics and time series, collaborating with business, technology, legal, and control partners to deploy ...

learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine … that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific ...

performance, thermal transitions, processing windows, crystallinity, cross-link density, cure kinetics, and formulation-to-processing-to-property relationships. This is a hands-on scientific ML role for someone who can bridge domain context and computational execution. You will develop structure-property models for solid and viscoelastic materials, build cure … solid materials, complex fluids, or related fields. Familiarity with mechanical, thermal, morphological, or processing-sensitive material properties. Strong Python skills and experience with modern ML frameworks. Experience training, evaluating, and improving models using experimental, simulation, or scientific datasets. Ability to use simulations, theory, descriptors, or mechanistic understanding to inform modeling ...

agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges. Key Responsibilities Team Leadership & Line Management: Direct line management and technical leadership for a team … compiled languages (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership ...

agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges. Key Responsibilities Team Leadership & Line Management: Direct line management and technical leadership for a team … compiled languages (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership ...

agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges. Key Responsibilities Team Leadership & Line Management: Direct line management and technical leadership for a team … compiled languages (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership ...

agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges. Key Responsibilities Team Leadership & Line Management: Direct line management and technical leadership for a team … compiled languages (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership ...

JPMorgan Chase & Co. invites applications for an Applied Innovation Engineering role within the AI/ML group under the CDAO Technology umbrella. The team focuses on machine learning for software, cybersecurity and infrastructure, delivering production-ready solutions at scale. The role collaborates with engineers, data scientists and product ...

Description Design, develop, and deploy end-to-end AI/ML-powered features and applications using Python and modern frameworks. Build, integrate, and maintain machine learning models/solutions—from data pipelines to API deployment and... About the Job A fast-growing tech startup is transforming how small … from a... Lead the development, evaluation, and monitoring of models (LLMs, predictive/classification...) Develop user-friendly frontend interfaces (e.g., React, TypeScript) that surface ML insights and drive engagement. ...backend systems and APIs (e.g., FastAPI, Django, Flask) to support AI-driven workflows. #J-18808-Ljbffr ...

Snap is seeking a machine learning expert to develop ML products and AI Lenses that power millions of Snapchatters daily. You will focus on image and video generation, as well as large language models, while building AR experiences with diffusion and flow‐matching models. You will collaborate with ...

Location London Employment Type Full time Location Type Hybrid Department Research Voleon is a technology company that applies state‐of‐the‐art AI and machine learning techniques … real‐world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion‐dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts ...

good. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. Our work spans disruptive startups, multi‐national organisations, policing, and secure government sectors, providing you with the unique opportunity to make … apply your experience to the emerging field of MLOps. A strong foundation in production‐grade software engineering. Ideally, you’ll have worked in AI, ML, or MLOps before. However, we know that experienced leaders in this space are rare, and that’s why we’re open to candidates from ...

Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines andMLOpstooling. The roleis responsible forestablishingAI engineering standards,governanceand best practices across the model lifecycle, ensuring solutions are scalable, secure … fast-paced technology environment. Strongexpertisein machine learning,MLOps, generative AI, LLMs, AI platforms and cloud technologies (e.g. Microsoft Azure AI/Azure ML). Proven experience implementing AI engineering standards, deployment automation, modelmonitoringand Responsible AI frameworks. Excellent analytical, problem-solving and stakeholder management skills. Strong written, verbal ...