5,026 to 5,050 of 6,656 Machine Learning Jobs in the UK

leading software company in Cambridge is seeking a Machine Learning Research Engineer to research cutting-edge machine learning concepts. This role requires a Ph.D. in a related field and a strong background in NLP and classic machine learning. Responsibilities include investigating algorithms, prototyping research concepts ...

more of the following areas: Exploit development. Secure software development. Vulnerability research skills. Machine Learning model development and understanding of the ML eco-system. Familiarity with vulnerability research tools and frameworks. Understanding of operating systems, networks and system architecture. Reverse engineering. Nice to Have Experience researching AI, machine learning or large language model security risks. Experience turning research ideas into working prototypes, tools or customer-facing demonstrations. Ability to explain technical findings to both specialist and non-specialist audiences. Location & Clearance This role will be based from Romsey, with an opportunity to visit our client sites ...

integrates innovation, strategic direction, and technical proficiency At LGC, we seek an experienced and visionary AI Delivery Lead to direct our artificial intelligence and machine learning projects toward achievement! This exciting opportunity offers you the chance to lead diverse teams, be responsible for collaborator expectations, and transform sophisticated … building and developing high-performing teams.Excellent collaborator management and interpersonal skills, with the ability to engage at all interpersonal levels.Technical understanding of AI/ML concepts, tools, and implementation challenges.Experience in budget management, resource planning, and cost control.Analytical approach with strong problem-solving capabilities and attention to detail.Proficiency in risk ...

next generation of silicon and toolchain. The ideal candidate You’re a software engineer with either prior experience of compiler or AI/ML toolchain development, or the ability (and strong desire) to learn about it on – the – job. Key skills and qualifications Required: Deep understanding of tools and libraries … quickly assimilate complex problems and develop solutions autonomously. Compiler development, in particular the back – end, including experience with or interest in AI/ML compiler frameworks such as TensorFlow (XLA, MLIR, or TFLite) An interest in working across the full AI stack – from ML framework integration and compiler front ...

Network Strategy team, helping shape the future of AI-driven telecommunications. In this specialist technical role, you'll apply your expertise in Artificial Intelligence, Machine Learning to tackle complex business challenges and unlock new opportunities across BT's network operations. You'll work at the forefront of research … Essential Skills/Experience Understanding of 4G & 5G network architectures and awareness of developments towards 6G Mobile Network planning, design and optimisation AI/ML and algorithm development Desirable Skills/Experience You will have experience in AI and Machine Learning and if you have experience ...

time. These are the projects where the technical complexity is highest and where a mistake is expensive. You will work at the point where machine learning requirements become annotation work: translating what a research team actually needs into workflows, standards and instructions that a specialist workforce can execute … numbers — throughput, quality rate, utilisation — and you notice when one is being bought at the expense of another Technically fluent enough to work with ML teams on what they need and why, and to pull your own data rather than wait for it You make people calls on evidence rather ...

have: 2+ years of working building AI powered products and 5+ years in software engineering. Experience building products using LLMs, embeddings and other ML technologies. Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies. Experience leading cross functional teams in an innovative … fast moving environment. A strong foundational understanding of machine learning models and practice, including model evaluation and performance. Strong full‐stack development skills. Must be willing to work from an office 4 days per week (except for remote roles). #J-18808-Ljbffr ...

Machine Learning Engineer to own retrieval and knowledge representation components at the heart of Scale GP. You will drive end-to-end ML deliverables, from research and prototyping to production deployment, working across knowledge bases, vector stores, RAG pipelines, and context engines that power enterprise agents. Ideally … have 5+ years building production ML/AI systems, a strong CS/ML degree, and deep retrieval knowledge. #J-18808-Ljbffr ...

Crick Institute in London is recruiting a Machine Learning Software Engineer to join the Software Engineering and AI team. You will develop ML-powered biomedical software, collaborating closely with researchers and technical specialists to accelerate discovery and deliver scalable applications. You will design, implement, and deploy solutions … complex biological challenges, applying your ML expertise and engineering practices to ensure reliability and reproducibility across #J-18808-Ljbffr ...

valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen … debugging, documentation, while staying at the forefront of AI technology. At Applied Intuition, you will Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms and solutions for defense use cases Leverage established products at Applied Intuition to build the software and infra foundation for behaviour-specific ML development. ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). We have recently been recertified as a 2026 Great Place to Work®. This achievement not only highlights Talan Data … committed to creating an inclusive, innovative, and high-performing workplace where every employee can thrive. We believe in investing in our people through continuous learning and development, fostering a culture of growth and engagement. Join us and be part of a team that values collaboration, creativity, and excellence. ...

modelling lifecycle: problem framing, data build, feature engineering, model development, validation, documentation Build and maintain risk and price models using GLMs and machine learning Translate models into implementable rating structures Strong governance: change control, champion–challenger/shadow runs, rollback plans, and clear … approvals and audit trails Strong general insurance pricing toolkit: GLMs (Poisson/NB/Tweedie), GAMs, credibility/hierarchical methods; experience with tree-based ML (GBM/XGBoost/CatBoost) and regularisation Proficient in R and Python, with strong SQL; comfortable in Git-based workflows and “in the engine room ...

Product Manager for Vision Models, you are the critical layer that connects on-the-ground AI performance with our AI/ML engineering. You will: Capture and triage data + feedback from customer deployments Use your judgement and understanding of our customer's industrial processes + priorities, recycled material … vision AI capabilities to prepare and prioritise work for our AI/ML engineers Lead the domain discovery required to bring new materials and markets online Own the data pipeline and labelling teams that we use to teach our models You will spend time at recycling sites watching how operators ...

where advanced modelling can have the greatest impact. Translate complex modelling approaches into clear commercial outcomes for senior stakeholders. Bring cutting-edge AI and ML into a business that's ready to act on it. What You'll Bring 7+ years' experience in data science and predictive modelling, with … proven track record of delivering results. Hands-on experience building state-of-the-art ML models and deploying them into production. A 2:1 or higher from a top university, ideally in a STEM or quantitative discipline. Strong stakeholder management skills and a genuine passion for data-driven decision-making. ...

Faculty Science Limited is seeking a Machine Learning Engineer to bring production-grade ML solutions to real-world client projects. You will help design scalable software architectures, validate technical feasibility, and ensure timely delivery of high-quality ML systems in collaboration with cross-functional teams. The role requires … hands-on experience with ML lifecycles, Python, cloud platforms, and container orchestration, along with the ability to communicate complex concepts to both #J-18808-Ljbffr ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster … with engineering, product, research, and operational stakeholders, translating complex requirements into practical solutions and communicating technical decisions and trade-offs clearly. Desirable Developer or ML Platforms – Experience building internal platforms, developer tools, workflow systems, or applications used by machine-learning researchers and engineers. ML Operations and Experimentation – Familiarity ...

external services. Mentor and guide mobile engineers across teams, fostering technical excellence, code quality, and knowledge sharing. Safely integrate and operate AI/ML-enabled solutions that improve mobile user experiences and business outcomes. Collaborate with product, design, and engineering stakeholders to deliver innovative mobile features and drive technical strategy … technical direction for multi-service, cross-domain, or organizational mobile initiatives. Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products. Preferred Qualifications: Strong proficiency in Kotlin Advanced proficiency with Jetpack components/Jetpack Compose, Android UI/UX best practices ...

recall against dangerous behaviours nobody has seen yet? These are difficult questions – conceptually and empirically. Day to day this looks like: designing and running ML experiments (including RL and other optimisation-heavy work), building the adversarial attacks that generate the evidence, writing arguments, and arguing them out with the rest … looking for, rather than a list of everything we expect to find in one applicant. Essential Requirements Demonstrated ability to design, build and run ML experiments on frontier models, and to work autonomously on complex research projects involving substantial engineering. This includes black-box work (API-based evaluations and attacks ...

company, and on our clients and business partners around the world. Job responsibilities Drives the direction of a greenfield AI/ML-centric fraud risk product Defines product strategy, requirements, roadmap and prioritisation Delivers product capabilities that deliver both reactive fraud detection and proactive fraud prevention through AI/ML … building something new. Things change quickly. We need you to learn technologies and patterns quickly. Preferred qualifications, capabilities and skills Experience building data, machine learning or model platforms Experience working with agentic workflows, prompt engineering and LLMs to solve real-world problems Experience working in a highly regulated ...

user journeys and experiences across greenfield initiatives. Introduce and embed product thinking across the wider business. Work on real software applications, including AI and machine learning products, CRM, APIs and SaaS platforms. Help establish and mature a product function that is still evolving. Influence product processes, ways … working within Agile product and engineering teams. Experience working with APIs, SaaS products, CRM platforms or other technology-led products. Exposure to AI/ML products or an interest in working within AI-enabled environments. Experience working with third-party technology vendors or partners. Confidence defining KPIs and measuring product ...

challenges and create valuable products and/or solutions such as insight solutions (inc. BI reporting suites), MarTech/data driven CX solutions or ML/AL solutions (inc, predictive, forecasting, classification and deep learning models). Project Management Excellence - Proven project management experience, including planning, execution, and successful … delivery of Analytics and AI/ML POCs, MVPs and production-grade solutions. Commercial Acumen - Commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Experience building strong relationships with senior client stakeholders to identify and execute against new sales opportunities. People Manager -People ...

practical plant control systems. Build trust and engagement with process engineers and operators by clearly explaining technical decisions and demonstrating measurable benefits. Collaborate with machine learning engineers to refine algorithms and recommendations based on real‐world outcomes. Support deployment playbooks and templates, ensuring repeatable, scalable, and high‐quality …/PID) systems and process optimisation projects. Familiarity with industrial automation systems (e.g., DCS, PLC, OPC, historian systems). Understanding of AI/ML applications in process control (forecasting, optimisation, anomaly detection) is a plus. Comfortable collaborating with operators, engineers, and data scientists — bridging industrial know‐how with data‐driven ...

Product Management. For over a decade, Fin has invested in in-house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we’re expanding this team with product managers who will define the future of Fin AI platform and AI agent. … high‐quality decisions and build a compelling roadmap. Work side‐by‐side with a world‐class AI team. You’ll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you’ll explore new ideas, assess feasibility, evaluate trade‐offs, and turn advanced AI capabilities into ...

Team You’ll Join The Train Team is responsible for the adaptive training engine that powers every plan our runners follow, and the machine learning models that sit alongside it to guide customers if they start going off‐track. It sits at the centre of our product … have a technical background (e.g., Engineering, Computer Science, Maths, Physics) or equivalent hands‐on experience building technical or complex software products (e.g., with traditional ML models, LLMs or modelling). You are London‐based, or able to work in person at our Vauxhall office on a Hybrid model (ideally ...

Product Management. For over a decade, Fin has invested in in-house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we’re expanding this team with product managers who will define the future of Fin AI platform and AI agent. What … high-quality decisions and build a compelling roadmap. Work side-by-side with a world-class AI team. You’ll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you’ll explore new ideas, assess feasibility, evaluate trade-offs, and turn advanced AI capabilities into ...