3,376 to 3,400 of 5,439 Machine Learning Jobs in the UK

monitor KPIs for system reliability, performance, and operational efficiency Advance automation, Infrastructure as Code approaches, and promote self-healing systems using AI/ML techniques Develop robust incident management frameworks and lead major incident response activities for critical systems Implement blameless postmortems and deliver systemic improvements across production environments Establish … incident management processes, ITSM standards, and ITIL principles Knowledge of resilience design patterns, high availability, and fault‐tolerant architectures Familiarity with AI/ML‐driven approaches for operational efficiency and system reliability Ability to lead transformation, influence across teams, and foster continuous improvement in culture Nice to have: Experience ...

Governance & Review (MRGR) team to build tools for analytics, cost optimization, and governance. You will work in Python and TypeScript, create data pipelines, integrate ML and AI-assisted development tools, and collaborate with cross-functional teams to improve controls and efficiency while maintaining secure coding practices. #J-18808-Ljbffr ...

leading technology products in a secure, scalable way. You will work on cloud-native data, backend engineering and AIML engineering, helping industrialize AI/ML models at production scale in a hands-on role. This position requires strong experience in system design, microservices, and collaboration with data scientists, with opportunities ...

align the data strategy with our Azure-based environment to support analytics and AI initiatives. You will collaborate with governance, security, and AI/ML teams, design data sharing patterns with external partners, implement MDM, and optimise performance and cost while ensuring GDPR compliance. #J-18808-Ljbffr ...

next-generation recommendation engines, conversational AI experiences, and personalization models for a large-scale digital platform. You will design, build and deploy production-grade ML models powering highly personalised customer experiences, including recommendation algorithms, retrieval systems and LLM-powered conversational AI. You will work closely with Product Managers, Engineers ...

continue to surprise and delight our customers. The Camera & Photos group focuses on perfecting our imaging pipelines using advanced computer vision, computational photography, and machine learning techniques. As a member of this group, you would have the unique opportunity to work on products that are used and enjoyed … implementing image processing and machine learning algorithms Experience training and working with generative models Strong coding skills - preferably in Python including ML-frameworks and libraries such as Pytorch Experience in productizing or publishing your research results in fields such as machine learning, image processing, and computer ...

Databricks is seeking a Senior Solutions Architect to drive pre-sales engagements in DS/ML/GenAI across the UK&I. Based in London, you will shape customer engagements, coach teams, and influence stakeholders across cloud providers to adopt the Lakehouse platform. You will lead customer-facing workshops, develop ...

Ireland, and Europe. We seek an architect to design a secure, scalable multi-cloud AI platform across Azure and AWS, integrating ML pipelines, model hosting, and observability. You will drive governance, safety controls and cost-aware decisions in collaboration with engineering and data science teams. The role offers hybrid working ...

clear narratives for senior stakeholders. The role emphasizes SQL and Python, data visualization (Tableau/Power BI/D3.js), and collaboration with Product and ML teams to automate data extraction from unstructured sources like PDFs. #J-18808-Ljbffr ...

productionize data and AI solutions on the Databricks platform. You will own the architecture and deliver end-to-end systems across data engineering, ML/AI, and application development. This hands-on, customer-facing role requires cloud experience (AWS/Azure/GCP), Spark expertise, and the ability to translate ...

leading health tech company based in the United Kingdom is seeking a Senior Software Engineer with expertise in AI/ML infrastructure. You will work on developing the GenAI platform that powers AI features for the world’s top health and fitness app. Key responsibilities include building evaluation frameworks ...

behind our AI-powered tools. You will work across cloud, DevOps and CI/CD to improve reliability, scalability and performance of large-scale ML applications, manage databases, optimise workflows, and collaborate with cross-functional teams. #J-18808-Ljbffr ...

Generative & Agentic AI services, deploy scalable and secure production systems, and collaborate with engineers to evolve the architecture. The role requires experience with Azure ML, Python/JS/TS/React/Redux/Java, and Docker-based distributed systems. You will participate in a fast-paced DevOps team ...

communicate ideas clearly and build strong relationships globally within the front office Previous experience of agentic design (harnesses), MCP servers, and related AI/ML python libraries Strong analytical, problem-solving, and architectural design skills, with an ability to operate effectively in a front-office environment Academic background in Quantitative … Computer Science, or a related STEM discipline Strong understanding of data fundamentals and their python implementations (numpy, polars, scipy) Strong knowledge of AI/ML techniques with experience delivering related work into production Curious to explore how AI can improve how we build, deliver, and optimize workflows, with sound judgment ...

dashboards, and narrative packs; track benefits realization versus plan and highlight trade‐offs. AI‐Enabled Transformation and Engineering Partnership Identify and validate AI/ML opportunities (e.g., anomaly detection, match optimization, exception triage); design‐controlled pilots and scale proven solutions. Partner with engineering to prioritize capabilities, ensure backlog quality … enhance reconciliations; test, learn, and iterate. Thrive Together: Collaborate across stakeholders and share knowledge; build trust and momentum. AI Literacy: Apply agentic AI/ML where feasible; design for scale and controlled adoption. Product Mindset: Measure outcomes, simplify processes, and scale solutions. Design Thinking & Agile: Journey mapping, iterative delivery ...

impact problems such as dynamic pricing and bipartite matching.ResponsibilitiesCollaborate with engineers, Data Scientists, designers, and product managers to solve ambiguous problemsResearch, prototype, and ship ML and optimisation models into productionContinuously improve existing algorithms and identify opportunities for new onesRequirementsMaster's or PhD in Operations Research, Mathematics, Management Science … related field with a focus on optimisationStrong foundation in mathematical optimisation or mathematical programmingSolid knowledge of probability & statisticsExcellent programming skills in Python and core ML tooling (e.g. SQL, PyTorch, etc.)Nice To HaveExposure to dynamic pricing, auction design, or marketplace matching problemsWhat We OfferOffice-based role in West London, four ...

Security Clearance (SC) and willing to work on site with these clients from time to time. About the role As a Lead AI/ML Engineer at Faculty, you will set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production over time … across multiple client engagements. Overseeing the delivery of large-scale AI-powered platforms while defining project roadmaps in high-risk environments. Facilitating alignment between ML, Data Science, and DevOps crafts to ensure agentic software is built on a reliable foundation. Managing and coaching a distributed team of engineers, setting development ...

Research Manager for the Production Inference team, you will own both people leadership and technical direction for a team of research scientists and ML engineers working on performance-critical model serving systems. While this is not a hands-on coding role, you will be deeply involved in technical reviews, architecture … decisions, and research direction for the inference stack. You will: Lead and develop a high-performing team of research scientists and ML engineers, building strong development plans, fostering a candid and non-retaliatory feedback culture, and maintaining high standards of technical rigour and delivery. Own the team's research ...

responsibilitiesAs Research Manager for the Production Inference team, you will own both people leadership and technical direction for a team of research scientists and ML engineers working on performance-critical model serving systems. While this is not a hands-on coding role, you will be deeply involved in technical reviews … architecture decisions, and research direction for the inference stack.You will:Lead and develop a high-performing team of research scientists and ML engineers, building strong development plans, fostering a candid and non-retaliatory feedback culture, and maintaining high standards of technical rigour and delivery.Own the team's research and development ...

fusionTranslate technical requirements into elegant, scalable storage solutions that exceed expectationsAct as trusted technical advisor throughout the sales cycleSolution DesignArchitect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloadsDesign for reliability, resilience, security, and scale—balancing performance with data protectionCreate BOMs, system architectures, and technical … sales, solutions architecture, or technical consultingProven track record designing storage/infrastructure solutionsHands-on experience with enterprise storage systemsExperience with AI/ML infrastructure, HPC, or high-performance workloads (preferred)Success managing complex technical sales cyclesWhat Sets You ApartGenuine curiosity about AI and its impact across industriesOwnership mindset—you solve ...

Security Clearance (SC) and willing to work on site with these clients from time to time.About the roleAs a Lead AI/ML Engineer at Faculty, you will set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production over time by balancing … accelerate delivery across multiple client engagements.Overseeing the delivery of large-scale AI-powered platforms while defining project roadmaps in high-risk environments.Facilitating alignment between ML, Data Science, and DevOps crafts to ensure agentic software is built on a reliable foundation.Managing and coaching a distributed team of engineers, setting development goals ...

high‐impact opportunity to shape the foundations of one of the UK’s most exciting technology companies. Working closely with Software, Infrastructure, ML, IT, Product, QA, and Security teams, you’ll be hands‐on in delivering the platform vision and improving engineering experience. You’ll play a critical role … self‐service infrastructure, seamless CI/CD, and strong observability, while also supporting API‐first development, system integration, and the adoption of AI/ML capabilities across the organisation. Turning platform strategy into reality through high‐quality engineering – setting standards and patterns that teams can adopt with confidence. ...

with subsurface datasets (e.g., wireline, seismic, biostratigraphy, geochemistry, rock properties, lithology). Strong Python programming skills. Experience with Relational Databases. Familiarity of AI/ML and its potential to support geoscience interpretation. Experience with ETL pipelines and data cleaning. Excellent communication and teamwork skills in a collaborative R&D environment. … closely with colleagues from multiple disciplines to refine and enhance workflows – particularly supporting customer workflows and customer data types. Stay current with AI/ML technology and geoscience advancements to drive innovation. Contribute to customer presentations, particularly regarding customer data and their associated workflows. Desirable Experience Awareness of data analysis ...

estimation, equalisation/MIMO detection, decoding), strong C++/OO programming, link/system-level simulation experience, familiarity with 3GPP standards and AI/ML (particularly agentic AI) applied to development workflows, and MATLAB-based data analysis, and should be educated to PhD level or equivalent in communications, software engineering … real-time software and FPGA/ASIC testing and verification.Researching emerging technologies to support NEC’s product planning and sales activities. Applying AI/ML techniques, particularly agentic AI, to automate and accelerate software and hardware development.Supporting NEC’s 3GPP standardisation delegates by generating simulation results for inclusion in contributions ...

owners to identify threats, evaluate the design and operating effectiveness of controls, and document and track risk treatment plans. This includes evaluating AI/ML use cases (internal builds and third-party services) for security, data protection, and misuse risks.Third‐Party Risk Management: Plan and execute third‐party risk assessments … support privacy risk assessments and data protection controls as needed. Work with these stakeholders to assess privacy and data protection implications of AI/ML solutions, including data ingestion, training, and model outputs.AI Risk & Governance: Define and maintain security and risk guardrails for the use of AI/ML technologies ...