2,851 to 2,875 of 3,512 Machine Learning Jobs in London

Product Analytics. You will partner with cross-functional teams to understand user behavior, run experiments, and build data-driven solutions. The role emphasizes designing ML models at production scale, leading analytics pipelines, and mentoring teammates, with a London presence three days a week in alignment with our flexible work model. ...

leading fintech innovator in London is seeking an experienced Applied AI Manager to lead the design and delivery of complex ML and GenAI systems. This role requires proven experience in leading engineering teams and a strong understanding of structured finance. Candidate will mentor junior engineers, collaborate across teams, and champion ...

Clove is creating the next generation of financial advice by combining trusted advisers with AI. As one of our first ML hires, you will own the work end to end, spanning evaluation, data, training, and deployment into a regulated product. You will build rigorous benchmarks, fine-tune open models ...

pipelines, automated testing, monitoring and incident response in a production environment. The role emphasizes hands-on platform engineering on modern cloud technologies, collaborating with ML engineers and domain experts to deliver robust, high-performance software for scientists. #J-18808-Ljbffr ...

Mercor connects elite AI researchers with leading labs and industry partners. This remote contract role seeks ML Research PhD Experts with ICML/NeurIPS/ICLR publication track records. The position involves evaluating the accuracy and depth of AI-generated content to strengthen reasoning and rigor in models, and contributing ...

Barclays is seeking a senior AI platform lead to design, develop and scale a global AI/ML platform that supports markets, banking, research and operations. You will own end-to-end delivery from development to production, ensuring secure, compliant, high-performance solutions across cloud and on‐prem environments. ...

interact with money, grounded in measurement and backed by systems that are safe to use in a regulated product. As one of our first ML hires, you will own this work end to end. What you’ll work on You will work across evaluation, data, training, and deployment into … small, senior team. The product is a modular Go monolith with React frontends on GCP, and you will have room to shape the ML stack. Your background Strong ML fundamentals. You understand modern LLM training and post-training, and can reason about model behaviour from first principles. Rigorous about evaluation. ...

Chubb Ltd. in London is seeking an AI Engineer to join the Global Analytics team. This role covers the end-to-end lifecycle of production-grade AI, from training and fine-tuning models to building ...

Moody's Investors Service is seeking a senior engineering leader to design and ship scalable AI platforms and intelligent applications that bring emerging AI capabilities into production. You will act as a hands-on technical ...

Kryptos Technologies limited in London seeks an AWS AI Solutions Architect (Application & Solution Development) to design end-to-end cloud AI solutions. You will lead PoCs, demos and workshops, define scalable architectures using AWS Bedrock ...

Machine Learning Engineer to support delivery and operationalisation of advanced AI solutions for our Kingfisher brands. You will help build scalable ML systems, ensuring models run in live environments. Join a high-performing engineering team collaborating with product and architecture to accelerate AI adoption across B&Q, Screwfix ...

field, or equivalent practical experience.8 years of software development experience, including system design, data structures, and algorithms.7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).5 years of experience in a technical leadership … team leadership role.Preferred qualifications:5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.Experience with generative AI research or applications.Experience evaluating model performance, analyzing results, and implementing improvements.Experience with machine learning ...

equivalent practical experience. 8 years of software development experience, including system design, data structures, and algorithms. 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience in a technical … leadership role. Preferred qualifications: 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience with generative AI research or applications. Experience evaluating model performance, analyzing results, and implementing improvements. Experience with ...

equivalent practical experience. 8 years of software development experience, including system design, data structures, and algorithms. 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience in a technical … leadership role. Preferred qualifications: 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience with generative AI research or applications. Experience evaluating model performance, analyzing results, and implementing improvements. Experience with ...

this key role,you’lllead the engineering of AI and machine learning(ML)capabilities for the Economic Crime Hub, translating decision strategies into scalable, production-grade solutions We’lllook to you to own the end-to-end lifecycle of AI andMLmodels, from development and deployment through to monitoring … andMLsolutionsoperatereliablyandsafelywithin governed,compliant environments, while meeting business, risk, and regulatory requirements Whatyou'lldo AsaAI Engineering Lead,you'lllead the design, build, and deployment of ML models and AI systems into production environments.You'lltranslate decision strategies and analytical requirements into production-grade solutions, designing reusable pipelines and frameworks that support efficient ...

Data Science team. You will develop machine learning models for Marketing and Consumer Insights, and collaborate with product owners, data engineers, and ML engineers to deliver impactful, data-driven solutions. You will also help prepare data for training, define evaluation metrics, and contribute to responsible AI governance across ...

McKinsey & Company is seeking a data scientist to join the global scientific AI team in London or Wroclaw. You will build AI/ML models and pipelines, support client discussions, and deploy analytics capabilities with cross-disciplinary teams. The role emphasizes rigorous statistics, advanced machine-learning methods ...

most ambitious modelling problems through the application of LLMs - as well as providing technical mentorship and people management for others in the ML community at Isomorphic Labs.You will be instrumental in leading machine learning based research projects, building the models, and algorithms that will power our platform … knowledge of the field to modify and apply models and explore their capabilities when applied to complex biological and medical challenges.Identify and create novel ML techniques and the required data to train and apply modelsAnalyse and tune experimental results to inform future experimental directions.Implement and scale training and inference engineering ...

About the Role This is a founding technical role at the intersection of computational neuroscience and production machine learning, sitting at the core of a wearable AI product that quantifies emotional states in real time. You'll own the inference model that … translates biometric and audio signals into emotional intelligence insights — work that directly defines what the product can do. Computational neuroscientists here operate as full ML engineers, bridging research and deployed systems. What... #J-18808-Ljbffr ...

equivalent practical experience. 8 years of software development experience, including system design, data structures, and algorithms. 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience in a technical … leadership role. Preferred qualifications: 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience with generative AI research or applications. Experience evaluating model performance, analyzing results, and implementing improvements. Experience with ...

exceptions with industry experience Specific Skills Background and/or previous work in AI systems research and performance evaluation. Expertise in optimizing and evaluating ML models and/or privacy & security technologies for on-device performance. Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, ONNX … Runtime, Core ML, TensorRT, etc.). Skills That Will Set You Apart from the Competition Open source projects on mobile/desktop systems optimization Experience with confidential computing and security/privacy protocols Ph.D. in computer science from a top-tier school A strong publication record in premier systems, performance ...

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 ...

working on some really interesting initiatives and have the below responsibilities ➡️Lead the delivery of analytical and machine learning workstreams, ensuring models and outputs are robust, repeatable, and aligned with business needs. ➡️Collaborate with subject matter experts, architects, and product teams to ensure analytical outputs are technically sound … peers They're pretty cloud agnostic, Azure would be great though. Looking for the below skill set: ✅Strong experience delivering applied data science or ML projects end‐to‐end, including feature engineering, model selection, evaluation, and iteration. ✅Strong experience developing solutions in Python, with good practices around code structure, testing ...

your strengths and interests, you'll have the opportunity to move between them. 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 …/ML Ships product changes with care and quality in line with the organisation's governance requirements, in close partnership with engineering Builds strong relationships with clients and stakeholders and understand their requirements to a high degree of detail Contributes positively to a team culture that operates efficiently and supports ...