2,476 to 2,500 of 3,533 Machine Learning Jobs in London

Consulting in London is seeking a Senior Data Scientist to join the AI Build Team. You will develop end-to-end ML/AI solutions that clients can rely on in production, mentor juniors, and lead sub-projects across varied industries. The role emphasizes data management, modeling, engineering, and collaboration ...

Senior Software Engineer to design and build scalable full‐stack systems powering billions of ad interactions. You will work across backend and frontend with ML pipelines and AI features, collaborating with UX, Product, Sales and data teams to continuously improve Ads products and developer experiences. This role offers leadership opportunities ...

Xantura Limited is looking for a Senior ML Ops Engineer to join the Platform Delivery team. You will evolve the backend platform supporting their AI services, ensuring reliable operations for local authority clients. The ideal candidate has strong Python skills, experience in MLOps, and a solid background in Azure-native ...

DIONIX AI is seeking an AI/ML Engineer specializing in Large Language Models and Generative AI for its B2B SaaS products. You will design, build, and deploy agentic workflows, and predictive models, collaborating with frontend and backend teams to integrate AI features using LangChain, LlamaIndex, and OpenAI/Anthropic ...

large new areas of Scale GP (Scale Generative AI Platform). You will work across backend, frontend, and interfaces with LLMs and ML models to push scalable, reliable systems in a fast-paced environment. You will deliver experiments rapidly with high quality, spanning the full product lifecycle from concept ...

Model ML is an AI workflow company transforming how major financial institutions build and validate client-ready AI-powered processes. You will own large portions of our AI agent infrastructure, designing and deploying multi-agent systems and RAG pipelines while delivering features at scale. Join a fast-growing fintech platform ...

UK. In this role, you will lead technical strategies for partners involved in cloud adoption and modernization, focusing on advanced technologies including AI/ML and HPC. Your experience should include over 8 years in cloud computing or related domains, along with strong consultative and leadership skills. The position demands ...

profitable predictive trading models. We are seeking world-class engineers to collaborate with our research, trading, engineering teams to build state-of-the-art ML systems that solve some of the most complex problems in quantitative finance. Whether optimising training pipelines on high-performance computing clusters, developing low-latency inference … fast-paced, collaborative environment. If you are driven by technical challenges, eager to work with large-scale systems, and passionate about advancing ML capabilities, we want to meet you. What you\'ll do: Apply state-of-the-art techniques to complex and challenging domains. Work closely with researchers and quants ...

profitable predictive trading models. We are seeking world-class engineers to collaborate with our research, trading, engineering teams to build state-of-the-art ML systems that solve some of the most complex problems in quantitative finance. Whether optimizing training pipelines on high-performance computing clusters, developing low-latency inference … fast-paced, collaborative environment. If you are driven by technical challenges, eager to work with large-scale systems, and passionate about advancing ML capabilities, we want to meet you. What you'll do: Apply state-of-the-art techniques to complex and challenging domains. Work closely with researchers and quants ...

hackajob is partnering directly with Google to hire for this role. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. ...

JPMorgan Chase is seeking a Principal Software Engineer to design, develop, deploy, and maintain advanced AI products within the Applied Innovation Engineering team in CDAO Technology. You will collaborate with software engineers, data engineers and ...

Datatech Analytics in London is seeking an AI Engineer to design, build, and deploy innovative AI solutions at scale within a newly established AI function. The role focuses on Generative AI, LLMs, and data capabilities ...

TwinThread is seeking an Executive Director for our Corporate and Investment Banking Applied AI team to lead a small group of specialists. You'll be responsible for developing APIs, libraries, and providing thought leadership in ...

today, with a strong emphasis on defining the future product and platform experience, patterns, and contribution pathways that will enable federated scale over time. ML Engineers – Responsibilities & SkillsResponsibilities* Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents.* Implement Skills that orchestrate tools, data ...

qualifications:PhD in Machine Learning or equivalent research/industry experience.Experience in scripting languages and pipelining tools.Experience in programming.Published work in a ML conference on the subject of robustness or image or video generation or classification.Quantitative experience in maths and statistics.Preferred qualifications:Experience in applying machine learning … robust and reliable machine learning with a group of research scientists and engineers on a mission-driven team. Together, we will apply ML and other computational techniques to a wide range of challenging problems. A public example of recent work is SynthID, and we are actively pursuing other ...

problems, developing scalable models and intelligent systems that support a range of business domains.As an Applied Scientist, you'll work alongside data engineers, ML engineers, analysts, product managers and business stakeholders to design, develop and deploy machine learning solutions at scale. You'll have the opportunity … influence both the scientific direction of our ML capabilities and the products they enable.Key ResponsibilitiesDesign, develop and deploy machine learning models and data-driven solutions in production environments.Apply machine learning and optimisation techniques to solve complex business problems.Partner with engineers to productionise models and build reliable ...

translating research into practical solutions that deliver measurable value.As a Senior Applied Scientist, you'll provide technical leadership across initiatives, partnering closely with ML Engineers, Data Engineers, Analysts, Product Managers and business stakeholders to design, develop and deploy machine learning solutions at scale. You'll help shape both … customer outcomes and business impact.Write, test and maintain production-quality code, applying software engineering best practices to support scalable and maintainable solutions.Partner closely with ML Engineers and Data Engineers to ensure solutions can be deployed and operated effectively at scale.Provide technical leadership on complex initiatives, influencing scientific direction and technical ...

machine learning that drives decisions across a 4M+ member platform Build commercial models spanning retention, recommendations and customer growth Work directly with senior stakeholders in a growing Data Science team Up to £90,000 + 7% Bonus Hybrid | London (2 days/week) - Leicester office visit once … forecasting and marketing mix models Detect fraud, broken journeys and offer issues Design and evaluate A/B tests Translate business problems into scalable ML solutions Tech stack: Python, SQL, Databricks, dbt, MLflow Requirements 5+ years' commercial Data Science experience Strong Python and SQL skills Experience with customer, marketing, ecommerce ...

perspectives collide. Our AI team sits at the core of this effort. It is a focused R&D group of quantitative researchers, engineers, and ML practitioners working on frontier problems in representation learning and large‐scale modelling. The mandate is simple in wording and difficult in execution: extract signal … years of experience building machine learning systems that have delivered real, measurable impact, whether in industry or academia. A strong grounding in ML with some exposure to modern language models such as transformers or related architectures. Comfortable writing solid, production-quality code in Python and/or C++ ...

processing pipelines, caching mechanisms, and other relevant technologies.Leverage roofline analysis, hardware-level profiling, and systems analysis to identify and eliminate performance bottlenecks across ML frameworks, compilers (XLA), custom kernels (Pallas), and serving infrastructure on hardware accelerators (TPUs/GPUs).Minimum qualifications:Bachelor’s degree or equivalent practical experience.8 years … software development.2 years of experience in deploying and maintaining machine learning models in a live production environment.Experience in profiling, configuring, or executing ML workloads directly on hardware accelerators (e.g., GPU or TPU).Experience designing, building, or optimizing model serving infrastructure or inference backends.Preferred qualifications:Experience with developing serving ...

5+ scientists)Deep expertise in NLP, Computer Vision, or multi-modal learning with demonstrated impact in production systemsStrong publication record in top-tier ML/AI conferences (NeurIPS, ICML, KDD, WWW, ACL, EMNLP, CVPR, or equivalent)Experience with large-scale distributed ML systems processing terabytes of dataExpert-level proficiency … computational advertising, ad tech, content moderation, trust & safety, or fraud/abuse detectionExpertise in adversarial machine learning, anomaly detection, or security-oriented ML applicationsFamiliarity with industry standards: MRC accreditation, TAG certification, brand safety frameworks, IAB content taxonomyExperience with privacy-preserving ML techniques (federated learning, differential privacy ...

JPMorgan Chase is seeking an NLP/LLM Scientist to lead applied AI initiatives within the Machine Learning Center of Excellence. The role focuses on deploying advanced NLP methods, building large‐scale models, and driving production ready solutions through collaboration with business and technology teams. The candidate … should have a PhD or substantial MS‐level research experience, hands‐on proficiency with TensorFlow/PyTorch, and a proven record of delivering impactful ML research and production #J-18808-Ljbffr ...

years of experience in deploying and maintaining machine learning models in a live production environment. Experience in profiling, configuring, or executing ML workloads directly on hardware accelerators (e.g., GPU or TPU). Experience designing, building, or optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing … serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity with writing performance ...

years of experience in deploying and maintaining machine learning models in a live production environment. Experience in profiling, configuring, or executing ML workloads directly on hardware accelerators (e.g., GPU or TPU). Experience designing, building, or optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing … serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity with writing performance ...

product — owning features end-to-end, from the API design and backend systems all the way through to the UI that annotation teams, ML engineers, and compliance officers use every day. You won't be handed specs; you'll help write them. We care deeply about product craft, technical excellence … What you’ll do Build scalable back-end systems and intuitive front-end interfaces — owning features from database schema to rendered UI Work with ML workflows — developing tooling for model evaluation, active learning, and automated quality pipelines Iterate rapidly on product and ship high-quality features at pace, maintaining ...