4,751 to 4,775 of 5,768 Machine Learning Jobs in the UK

accelerate your own workflows — prospecting, research, outreach, deal analysis, content creation. Who You Are 7+ years selling enterprise software platforms (cloud, AI/ML, developer tools, data platforms) into large, regulated industries — financial services, insurance, or government strongly preferred. Experience selling into Fortune 500 or Global 2000 accounts with comfort ...

international and diverse team passionate about transforming healthcare through data. Deep Technology & Science: Get exposure to problems and applications in the cloud, data analysis, ML, life sciences, and big data fields. Join us at Lifebit for a career that promises to be your next significant venture, dedicated to advancing ...

record of building or scaling customer experience organizations supporting technically complex products. Strong technical fluency and the ability to engage credibly with engineering leaders, ML engineers, AI researchers, infrastructure teams, and enterprise platform organizations. A record of improving customer adoption, retention, account health, and operational execution through clear systems ...

startup or small team Experience with workflow orchestration systems (e.g. Temporal) Familiarity with monitoring and observability tools such as Grafana or Prometheus Familiarity with ML/AI systems at an operational level; you do not need to build models, but understanding how they fit into a production system is helpful ...

Physics Experience building a SaaS product with real‐world usage. Bonus points for former founders or early startup engineers Interest in AI/ML and a willingness to quickly build a strong understanding of novel problems, capabilities, and architectures — including the trade‐offs and limitations involved Strong cross‐functional collaboration ...

ensuring a delivery approach that provides maximum value to the customer Forming strong, trusting relationships with customers, internal team members (e.g. data scientists, ML engineers), and technical partners to translate user research into solution requirements and operational impact Developing and executing compelling proposals to grow our footprint and impact across ...

deployment and resolution. Desirable Experience deploying or supporting systems in live operational or mission‐critical environments. Experience with one or more of AI/ML, data engineering, geospatial systems or edge computing. Experience deploying solutions into disconnected, bandwidth‐constrained or otherwise challenging environments. Experience working in defence, national security, emergency ...

mechanics of hyperscaler co-sell: funding, marketplace, joint account planning and field engagement Strong foundational knowledge of GCP infrastructure, data and AI/ML capabilities — enough to be credible with engineers and buyers Proposition & Value Articulation You move from problem to outcome to value, and can tell a quantified ...

equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems. Understanding of secure‐by‐design principles for AI/ML‐enabled systems, including securing inference pipelines, model integrity, and cloud‐to‐edge communication paths. Exposure to CAN bus, Ethernet backbone, or wireless interface security ...

Nice-to-Haves Experience with analytics, monitoring or observability tooling Background in automotive, marketplaces, or high-SKU B2B platforms Exposure to AI/ML-powered products or startups Prior experience leading UI best practices or mentoring engineers This Role Is NOT For You If You prefer remote work — this role ...

commercial teams as the technical lead for high-value AI infrastructure opportunities. Engage directly with customer CTOs, Chief AI Officers, infrastructure leads, and ML engineers to evaluate technical requirements, compute sizing, and fabric choices. Lead deep-dive architectural workshops and technical presentations on Civo's bare-metal GPU and managed ...

building, and delivering software or AI systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward‐deployed engineering, software engineering, developer tooling, customer engineering, solutions architecture, or technical consulting. Can point to substantial personal contributions in code, architecture, evaluation ...

delivery experience with international public-sector or similarly regulated customers, bridging regional technical teams and senior stakeholders.- Have successfully led GenAI or traditional ML implementations for government agencies in close collaboration with systems integrators and implementation partners.- Understand network and cloud architecture, including on-premise deployments, and show practical judgment ...

building, and delivering software or AI systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, developer tooling, customer engineering, solutions architecture, or technical consulting.- Can point to substantial personal contributions in code, architecture, evaluation ...

atmosphere Competence leveraging value selling frameworks such as Command of the Message and forecasting methodologies such as MEDDPICC Preferred: Experience selling to AI/ML leaders and builders Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their ...

distributed systems Strong knowledge of Kubernetes, networking technologies, security practices, and enterprise storage systems Hands‐on familiarity with distributed cloud-native and AI/ML workloads on GPU‐based computing at scale Exceptional ability to lead, inspire, and develop high-performing teams, building an environment of trust and excellence Excellent ...

Roke, 5th Floor, Space, Woking, Surrey, United Kingdom Job Description Posted Friday, 27 February 2026 at 01:00 Great ideas come from different minds. That’s why we bring together engineers, scientists, analysts, and creatives ...

Oliver Bernard are currently partnered with one of the most exciting stealth start-ups in London, building the infrastructure behind the next generation of AI. This is not your typical Data Engineering role. You’ll ...

make in your first year become the ecosystem the team builds on. What we look for Six years or more building and shipping ML systems that customers used and that you were responsible for end-to-end, from offline metric to user-visible behaviour. Strong on at least … federated or edge ML systems; evaluation and orchestration; simulation-based testing and benchmarking; compiler-style configuration systems, or anything in that family. An instinct for making things simpler alongside making them more capable. We hire people who reduce complexity, not just add to it. Comfortable in both owning a multi ...

delivery — this is your chance to shape the intelligence behind the future of work. Join RoleMapper and lead the evolution of our AI and ML capabilities that make workforce decisions fairer, smarter, and more transparent. About RoleMapper In a world where organisations are facing significant skills challenges, increasing compliance requirements … phase of growth and position RoleMapper at the forefront of AI in work design. Responsibilities Translating product vision into a feasible, scalable AI and ML roadmap that delivers measurable business value and aligns with commercial goals. Designing and scaling RoleMapper’s AI and Machine Learning models, combining leadership ...

Описание: The company is a leading technology innovator focused on developing cutting-edge AI and machine learning solutions for various industries. Задачи: Develop, train, and optimise advanced computer vision and machine learning systems Deploy solutions in constrained edge environments Collaborate with cross-functional teams on project … delivery Contribute to the full lifecycle of machine learning model development. Требования: Proven experience as a Machine Learning Engineer Expertise in computer vision and machine learning techniques Experience with deploying models in edge environments Strong programming skills in relevant languages (e.g., Python) Ability ...

Staff Machine Learning Engineer – Ads Bidding The TeamThe Ads ML team builds and maintains the machine learning models powering the company's advertising product — connecting consumers with relevant ads and helping merchants, grocers, and FMCG brands grow through the platform. The UK team is ~11 MLEs … baseline — you'll be setting direction in an ambiguous space, not executing against an established one 7+ years writing production code in Python; solid ML fundamentals in ranking, recommendation systems, or bidding/auction systems A bias for simplicity and a focus on shipping work with measurable business impact Strong ...

looking for strong C++ software development experience , ideally gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding ...

good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack … Strong candidates may also have Experience with large-scale distributed training (RL, pre-training, or post-training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast-moving environment Compensation Annual Salary ...

across the firm. Take the next step in your career. Responsibilities 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 green‐field 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 Implementing best practice feature and model stores Properly versioning features, data and models Improving inference compute utilisation via model serving CI/CD for ML ...