3,126 to 3,150 of 3,524 Machine Learning Jobs in London

containerization platforms. Preferred qualifications: Experience with software lifecycles, building tools, and architecting/developing software for scalable, distributed systems (e.g., data platform, AI/ML, infrastructure). Experience as a pre-sales manager or technical customer-facing people manager within a professional services or sales engineering team. Experience managing ...

Kubernetes and container orchestration platforms. Infrastructure automation and observability platforms experience. Emerging technology awareness, keeping an eye on the latest in AI/ML infrastructure and edge computing. Industry certifications, such as AWS Solutions Architect, VMware VCP or similar. Benefits Highly competitive compensation plus annual discretionary bonus. Lunch provided ...

internal teamsProvide hands-on technical guidance and design reviewsBuild a high-performing, collaborative team cultureDrive delivery, prioritization, and skill developmentStakeholder CollaborationPartner with AI/ML, data, and business teamsTranslate requirements into agent workflows and platform capabilitiesProvide thought leadership on agentic AI adoptionRequired SkillsLLM IntegrationRAG ArchitectureTool/Function CallingCypherPreferred SkillsAgent frameworks ...

data audits, controls, compliance)Preferred SkillsExperience with knowledge graphs/Neo4jData governance and metadata managementDashboarding tools (Power BI, Tableau, etc.)Exposure to AI/ML data validation practicesJob ExpectationsEstablish and drive enterprise-grade data quality standardsEnsure continuous monitoring and improvement of knowledge graph qualityDeliver actionable insights and measurable improvementsEnable trust ...

Lean/Six Sigma or continuous improvement frameworks is a plus. Exposure to digital transformation initiatives, such as automation, workflow redesign, or AI/ML applications. Strong communication and stakeholder management skills, including training and change enablement. Preferred Qualifications Experience in change management, training, or process governance. Background in global ...

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 ...

exactly what it takes to get AI-enabled services over the line in Government. You have a demonstrable interest and understanding of AI and ML concepts and can think creatively about their application for a range of Public Sector challenges.You possess the technical nous to engage confidently with directors ...

coaching). Preferred qualifications: Experience with software lifecycles, building tools, and architecting/developing software for scalable, distributed systems (e.g., data platform, AI/ML, infrastructure). Experience as a pre-sales manager or technical customer-facing people manager within a professional services or sales engineering team. Experience managing ...

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 ...

technical roadmaps aligned with growth roadmaps and long-term defence strategiesevaluating and selecting technologies across cloud, edge computing, secure networks, data platforms, AI/ML, and mission critical softwareCollaborating with senior military users, programme managers, and engineering leads to capture operational needs and translate them into technical solutionsBeing responsible ...

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 ...

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 ...

DoYou will work with our team of applied research engineers at the intersection of computer vision, gameplay agents, natural language processing, and machine learning to create state-of-the-art tools to support game developers in our ecosystem with a focus on bots (trained gameplay agents, intelligent NPCs … open weights modelsReinforcement learning, incl. experience with agentic systems, reward design, policy optimisation, evaluation, and building scalable training environments for agentsPython and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)Experience with working collaboratively with other developers, following a flexible/agile/lean approachEPIC JOB + EPIC ...

issues, and proposing fixes.Apply optimisation techniques (e.g., quantisation and distillation where beneficial), understanding trade-offs and when methods are appropriate.Collaborate cross-functionally with adjacent ML and performance engineering teams to hand off models, define bottlenecks, and align on optimisation priorities.Communicate clearly with stakeholders to align on delivery timelines, trade-offs … collaboration skills.DesirableExperience working on models that must meet tight latency/efficiency constraints (edge, embedded, real-time, or similarly constrained production settings).Exposure to ML systems spanning training evaluation deployment handoff (even if you’re not writing kernels day-to-day).Exposure to embedded or edge deployment of ML models ...

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 ...

Machine Learning Engineer - Growth & PersonalisationJoin us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions … gets notified, with what message, and when, to drive adoption of new verticalsWhat You'll Need to ThriveMinimum 3+ years of experience as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in PythonExperience with end-to-end model productionisationA bias to simplicity ...

impact environment that values expertise and new ideas, maintaining the high standards required to build and scale a national healthcare communication platform.As a Staff ML/AI Engineer, you'll operate across multiple product and platform teams - diving deep into selected ones to help them achieve great results with … group building the intelligence that powers how Accurx understands patient healthcare requests.Challenges you’ll solve...You will set the technical direction for how AI/ML capabilities are built, deployed, and evolved across the organisation - defining both the what and the how, and ensuring alignment with Accurx's broader product roadmap.You ...

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 ...

train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals. You’ll work across the full ML lifecycle (data training evaluation iteration), partnering with the team to decide what to tackle next based on where the system is underperforming. A meaningful portion … coverage at scale.ð You should apply if:You’ve built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi-view geometry, tracking, 3D reconstruction) and you’re comfortable ...

ROLE OVERVIEWWe are currently looking for a Machine Learning Engineer to join a pioneering research organisation dedicated to advancing drug discovery through innovative approaches to disordered proteins. This is an exciting opportunity for a candidate with a strong industrial background and a passion for applying machine learning … role in driving forward cutting-edge research in a dynamic, open-source environment.In this position, you will be responsible for developing and deploying machine learning models specifically tailored to tackle the challenges presented by highly dynamic and disordered proteins, with a particular focus on NMR data. You will ...

values collaboration, ownership, and a commitment to delivering high-quality results in a fast‐paced, dynamic environment. We have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy (https://www.joybuy.com/). Joybuy is JD.com’s European full‐category ...

Take a Seat Tech in London is seeking a contract machine learning specialist to build and productionise models against healthcare data and strengthen data pipelines. You will collaborate with product and clinical safety … teams to ensure guardrails and responsible deployment, and you will document and hand over monitoring tools for ongoing operation. The role demands proven production ML delivery, strong Python and MLOps discipline, and availability at short notice, with a hybrid London setup #J-18808-Ljbffr ...

Qureight Ltd seeks a Senior Machine Learning Scientist to research, develop and specialise state-of-the-art deep learning models for volumetric CT data, focusing on foundation-model pre-training, supervised model specialisation, segmentation, classification … biomarker extraction pipelines that support clinical-trial and real-world evidence programmes. You will work within the Machine Learning function alongside ML Engineers, Data Scientists and Imaging Specialists to translate research ideas #J-18808-Ljbffr ...

London. In this pivotal role, you'll provide technical leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems adhere to governance standards. This is a hands-on, technical … position ideal for those with deep expertise in ML frameworks such as PyTorch and TensorFlow, as well as experience in deploying scalable architectures. #J-18808-Ljbffr ...

Intercom is seeking an experienced Machine Learning Engineer to join our ML team in Greater London. In this role, you'll identify opportunities for machine learning, develop prototypes, and work closely with product teams to bring innovative solutions to life. Applicants should possess a strong understanding … machine learning techniques, with a focus on practical application and collaboration across disciplines. We offer a competitive salary, equity in a fast-growing startup, and a variety of benefits to support your well-being. This role supports hybrid work, requiring a minimum presence in the office three days ...