1,276 to 1,300 of 6,476 Machine Learning Jobs in the UK

Exposure to partner/channel sales motions and competitive positioning (VMware Tanzu, Red Hat OpenShift, AWS EKS). Hands-on experience with AI/ML workloads, GPU infrastructure, or inferencing frameworks; exposure to edge AI deployments a plus. Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience. ...

Role OverviewAs a Software Engineer III at JPMorganChase within the AI/ML Technology, you will be a hands-on engineer responsible for building and shipping production software with a strong focus on AI-enabled capabilities. You will work across the full software development lifecycle—from requirements clarification and design ...

representing security requirements to non-security stakeholders. Working knowledge of cloud environments (Microsoft Azure and/or Amazon AWS) and the AI and ML services offered within those platforms, with the ability to assess security configurations, data handling behaviors, and integration risks. Experience partnering with development teams, data teams ...

have: Experience building Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real‐time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What’s it like to work at Zego? Joining Zego is a career‐defining move. People go further here, reaching their ...

bonus if you have: Python skills for data manipulation or automation Experience using LLMs/AI models inside a data warehouse (e.g. BigQuery ML/Gemini, Snowflake Cortex or similar) Experience modelling CRM and lifecycle data (e.g. Klaviyo, HubSpot) or working with reverse‐ETL tools (e.g. Hightouch, Census) Web analytics ...

Directory, LDAP, and federation services. Deep understanding of authentication, authorization, federation, SSO, MFA, RBAC, and JIT/ZSP models. Familiarity with securing AI/ML pipelines, Large Language Model (LLM) ecosystem integrations, and autonomous AI agents. Awareness of AI-specific security frameworks and risks (e.g., OWASP Top 10 for LLMs ...

Solid grounding in modern software development process (DevSecOps). Hands-on familiarity: enterprise tactical networking, data link protocols and edge computing, architecting AI/ML systems. Experience with: Zero Trust Architecture (ZTA) and cross-domain security implementations. Certifications: TOGAF 9 or 10 Practitioner or BCS Equivalent, plus one of: CISSP ...

semi-structured and unstructured data. Demonstrated hands-on experience designing and delivering enterprise-scale AI or GenAI solutions. Strong working knowledge of AI/ML, NLP, LLMs, embeddings, agentic systems, RAG, MCP-based extensibility and associated design patterns. Practical experience building AI-enabled solutions using Microsoft enterprise stack and Azure ...

methodologies. Knowledge of various analytical tools, including Qlikview, Tableau, and Access. Proficiency in data analytics tools (e.g., Python, SQL). Understanding of AI/ML concepts and technologies. Education Bachelor's or Master's degree in Finance, Engineering, Computer Science, or a related technical or quantitative discipline from ...

Control – Git, DataOps.live, and experience of CI/CD for data pipelines. Good to have certifications in Experience supporting data science and AI/ML workloads as a consumer of the pipelines you build. Additional specialist cloud or devops certifications What You'll Get A competitive salary dependent on capability ...

Credibility with hands-on engineers and senior stakeholders, with strong judgement across speed, scale, governance, cost and usability. Valuable additional experience Production AI/ML or generative-AI data architecture, including RAG, embeddings, vector search or model-data pipelines. Knowledge graphs, ontologies, RDF, linked data or advanced semantic technologies. Databricks ...

Senior Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap! What you’ll do: Develop ML-products and AI Lenses that serve millions of Snapchatters on a daily basis, with a primary focus on image and video generation and editing, as well … Ship a consumer- facing solution within weeks Extensively collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedback Actively monitor the market and research landscape ...

capabilities of your peers, this role is for you. What You'll DoTechnical Leadership & Custom Implementation: Act as the technical lead for specific ML projects within your pod. Design and implement custom model components or loss functions that don't exist "off-the-shelf," breaking down massive research goals into … production feature distribution shifts). Lead team-level post-mortems and resolve blocking corrective actions. Career Multiplier: Formally mentor mid-level and associate ML scientists, reviewing their experimental logic to ensure high scientific rigor while guiding them through applied ML and production constraints. Skills & ExperienceEducation: Master's or Ph.D. degree ...

More about the role Our Data & Analytics team creates value for Morrisons by making sure we have the right data in the right place, transformed into clean, accessible structures ready for reporting, data product creation ...

side proves works and turn it into something dependable enough to run in a live, privacy-sensitive, multi-partner environment. You'll set the ML engineering and MLOps direction for your workstreams and act as technical lead on how research gets built, tested, and shipped. What you'll do Lead … ML engineering and MLOps direction for assigned CODAS workstreams. Design, build, test, and maintain the ML services, data pipelines, evaluation tooling, and deployment-ready applications that make up the programme's technical deliverables. Translate research outputs into systems that are actually robust and maintainable, not just proofs of concept. Adapt ...

deliver images and videos to millions of ASOS customers. This role focuses on designing reliable, responsible and high‐performing AI systems, using Deep learning embedding techniques for multimodal signal processing, and generative AI technologies such as large language models (LLMs). You’ll work closely with Studios, Machine … frameworks for AI models, including automated testing and benchmarking to support ongoing improvement Qualifications Key Skills and Experience Proficiency in Python and familiarity with ML/AI libraries (e.g. PyTorch, TensorFlow, Hugging Face) for computer vision. Hands‐on professional experience in fine‐tuning and deploying machine learning solutions ...

complex asynchronous training workflows. We're looking for a systems‐level engineer who wants to work on the gnarly, foundational problems of a production ML platform. You'll support a system that handles a massive volume of inference requests and orchestrates unattended model training across a diverse landscape of model … about building the infrastructure that makes it all possible. Our core platform is written in Rust for performance, correctness, and fearless concurrency. ML models and services are primarily in Python. If you're intrigued by the challenges of the software/hardware interface, OS‐level optimization, and building robust, multi ...

Senior Machine Learning Engineer Department: Data & AI Employment Type: Permanent - Full Time Location: UK - London Description Insurance isn't the first industry most engineers think of when they imagine cutting-edge AI work. That's exactly why this role is interesting. CFC's Data & AI unit is building … driven architectures. Confidence leading system design discussions and making pragmatic architectural trade-offs. Strong cloud experience, ideally within Azure. Experience deploying, monitoring and maintaining ML or LLM models in production. Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management. Hands-on experience orchestrating LLM workflows using frameworks such as LangChain. ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location ...

About the Role Ready to shape how machine learning and AI solve real-world challenges across one of the UK’s leading energy businesses? At EDF, Success is Personal – and with us, your career journey is yours to shape. The Opportunity As a Machine Learning Scientist … data science solutions that support EDF’s journey towards An Electric Britain. Working across diverse business areas, you’ll help deliver projects spanning machine learning, deep learning, computer vision, natural language processing and generative AI. You’ll work with multidisciplinary teams to explore new technologies, test ideas ...

from scratch, channelling our start-up mentality every step of the way – meaning you’ll have the opportunity to make a real impact. Lead Machine Learning Scientist – International Consumer Bank Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices … design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Responsibilities Lead the development and maintenance of machine learning models to solve complex business problems. Develop the technical skills of junior colleagues through mentorship and training. Collaborate with cross‐functional teams to identify ...

offices. Responsibilities Lead the implementation of data science projects and data science approaches to support commercial goals. Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Collaborate with tech, product and data teams to develop the data platforms that allow us to apply … broader customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine Learning based products. Proven experience developing cloud‐based machine learning services using one or more cloud providers (preferably GCP). Excellent ...

Machine Learning Engineer London Outside IR35 £500-£600 per day The Company They are a well-established retail business investing heavily in their data and AI capabilities. Data plays a central role in shaping strategy across the organisation, with a strong focus on delivering measurable business outcomes through … projects within a modern cloud environment. The Role and Deliverables Design, build, and deploy machine learning models into production environments. Develop scalable ML pipelines to support model training, testing, and monitoring. Collaborate with Data Scientists and Data Engineers to operationalise machine learning solutions. Optimise model performance ...