2,701 to 2,725 of 3,514 Machine Learning Jobs in London

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting The Role We're building our second charge mortgage product from the ground up. ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting The Role We're building our second charge mortgage product from the ground up. ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting The Role We're building our second charge mortgage product from the ground up. ...

become Research Associate and the salary will increase to Grade 6.Desirable criteriaAbility to carry out statistical analysis of genetic dataUp to date knowledge of machine learning methods applied to clinical and omics dataDownloading a copy of our Job DescriptionFull details of the role and the skills, knowledge ...

relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingThis role can be based out of either our London or Chatham offices.Role OverviewDrive back office ...

keep us ahead of the curve.Drive Automation: Propel the team toward a hands-off-the-wheel future where possible. You will identify opportunities for machine learning and automation to handle the mundane, freeing you up to focus on high-level strategy and innovation.Business Impact Analysis: Connect media metrics ...

fast-paced, fast-changing environment. A team player who acts with integrity and treats our customers and colleagues with respect. Bonus points forFamiliarity with machine learning-driven fraud detection systems, such as LexisNexis. Experience using AI in fraud processes, and the confidence to adapt as it evolves. Experience ...

relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the roleWe're building a larger, dedicated Platform team at Lendable, increasing our investment ...

relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the roleWe're building a larger, dedicated Platform team at Lendable, increasing our investment ...

only the engineers could code. We expect you to be able to stand up AI generated prototypes rapidly and iterate on them. AI/ML Product Leadership:You've led the integration of AI or analytics capabilities into a product, whether for intelligent video, predictive insights, automation, or similar. … holidays. Attractive defined contribution pension scheme.Private medical insurance.Employee stock purchase plan.Flexible working options. Life assurance.Enhanced maternity and paternity pay.Career development support and wide ranging learning opportunities.Employee health and wellbeing support EAP, wellbeing guidance etc.Carbon neutral initiatives/goals.Corporate social responsibility initiatives including support for volunteering days.Well known companies discount ...

technical audiencesStrong candidates may also have some of the following:Past experience with energy procurement specifically for datacentres, high-performance computing, or AI/ML infrastructureFamiliarity with hyperscale infrastructure requirements and the unique power demands of large-scale AI training and inference workloadsExperience with regulatory affairs, energy policy advocacy … team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity ...

seat-based business models, with understanding of different expansion levers and success metrics for eachTechnical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patternsExperience explaining and demonstrating technical products to various audiencesStrategic mindset to identify growth opportunities and translate them into actionable … team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity ...

developmentl. Transforming all applications into digital form and implement and evolve around mesh app and service architecture that support new technologies like IOT, blockchain, machine learning, automation, BOTS etc͏m. Cloud Transformation: (Migration)Understanding non-functional requirementsProducing artefacts such as deployment architecture, interface catalogueIdentify internal and external dependency, vendor ...

Data, and Greenhouse Labs to deliver MVPs and proofs of concept with operational impact.People Leadership & Capability Building:· Build business capacity through mentoring, coaching, and learning sessions.· Act as a people lead, in line with grade expectations.· Build client capability for sustainable handover and managed services transition.Thought Leadership & Market Presence … processes (QRM, CC, TOP, procurement frameworks).· Qualifications such as MSP, Prince2, APM, PMP, MBA or equivalent.· Experience designing/delivering AI/ML solutions in regulated public sector contexts.· Politically and emotionally intelligent: able to work with senior public servants, philanthropists, and private sector leaders; adept at managing competing ...

equivalent frameworks).Digital Acumen: A keen interest in digital technologies, their societal impact, and the drivers for regulatory transformation (e.g., online harms, AI/Machine Learning). Understanding of how digital tools and technologies can be leveraged to enhance compliance frameworks.Regulatory knowledge: Working knowledge of one or more ...

Multiverse is the upskilling platform for AI and Tech adoption.We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce.Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. … leadership, with a track record owning positioning and GTM strategy for complex technical B2B/B2B2C products — enterprise SaaS and/or AI/ML strongly preferredConfident working alongside engineering and product: able to hold your own technically and translate real product/technical complexity into buyer value and revenue ...

Haleon plc. seeks a senior data scientist to join the Global AI & Data Science team in London. You will build ML models for marketing, commercial and digital, and work with data engineers and ML engineers to deliver high-impact data-driven solutions. You will deploy models, monitor performance ...

Voleon Group is a technology-driven company applying AI/ML techniques to finance. We seek an SRE to improve, manage and monitor production-critical infrastructure and data pipelines, collaborating with AI/ML and finance professionals. You will be part of a Production Operations team, sometimes embedded with software ...

Google London is seeking an AI/ML Software Engineer to drive production-grade agentic workflows, bridging Google's AI products with customers’ live infrastructure. You will build high-performance eval pipelines and collaborate across teams to deliver scalable solutions. The role emphasizes GenAI expertise, ML infra, and multilingual communication ...

immediate interactions Partner with product managers, data scientists, and engineers to define what success looks like and how to measure it Own the full ML lifecycle, from data and modeling to deployment, monitoring, and iteration Integrate ML models with upstream systems, including domain value signals and opportunity generation frameworks Help … have strong experience building and deploying machine learning models in production environments at scale You are comfortable translating business problems into ML solutions and discussing trade‐offs with cross‐functional partners You have worked on complex optimization problems such as ranking systems or multi‐objective decision‐making ...

prompt engineering, and fallbacks Build and maintain human-in-the-loop decision logic for high-stakes agent actions Own proprietary supervised and self-supervised ML models and apply recent academic work pragmatically Contribute across the full agentic and software stack, including Node and TypeScript Shape the evolving data strategy … Production experience building and maintaining agentic or LLM infrastructure, including evals, feedback loops, prompt engineering, fallbacks, and human-in-the-loop decision logic Pragmatic ML foundation across supervised and self-supervised methods Product-leaning and full-stack mindset Comfort contributing to a Node and TypeScript software stack Strong system design ...

Permanent About the Role We're recruiting on behalf of a major, well-established organisation for an MLOps Technical Manager to lead a growing ML engineering function. This is a genuinely interesting project: you'll work closely with data scientists, maintenance engineers, and cross-functional stakeholders to deliver scalable ML … systems — including predictive maintenance, fault detection, and component lifecycle optimisation. You'll own end-to-end technical delivery of ML systems, from backend infrastructure through to frontend integration, while leading and mentoring a team of engineers. This is a hands-on leadership(40% hands on) role for someone who wants ...

data backbone of an AI-first product from the ground upWork closely with AI, backend and product engineersSolve problems across streaming, vector search and ML data infrastructureHelp define tooling, standards and the future data teamCompetitive salary + equityJoin early enough to have genuine influence over how things are builtWhat … doingArchitecting scalable batch and real-time data pipelinesDesigning ingestion, transformation and storage systemsBuilding infrastructure for vector search, retrieval and ML workflowsImproving data quality, observability and reliabilityOptimising large-scale datasets and query performanceSupporting AI training, inference and product featuresMaking long-term architecture and tooling decisionsHelping grow and mentor the data engineering ...

expectations, integrity, innovation and a willingness to challenge consensus.The Machine Learning Researcher will have a deep understanding of the principles behind modern ML algorithms — including recent advances such as transformer-based architectures and other state-of-the-art frameworks — and the ability to turn that knowledge into high … impact, production-ready solutions.The role involves applying advanced ML techniques to a wide range of forecasting challenges, building scalable ML pipelines, and deploying them in production, while working with high-dimensional, noisy, structured and unstructured datasets. Experience applying ML models in financial markets is desirable, but exceptional candidates with ...

products, translating fast-moving strategy into clear, prioritised plans Take full end to end ownership of specific product areas Work hands-on with AI, ML and data engineers to ship products from concept to production Own the backlog, write clear specifications and drive delivery cadence Define and track success metrics … engineering, data, commercial and leadership Who You Are: 5+ years in product management, including senior ownership of a product area, ideally across data, analytics, ML or AI A ruthless prioritiser who measures success by business outcomes like revenue, cost and adoption Commercially minded, able to take a technical capability ...