3,476 to 3,500 of 3,530 Machine Learning Jobs in London

J.P. Morgan in London seeks a Vice President for the Prime Finance Quantitative Trading and Research (QTR) team. Lead development of mathematical and ML models to optimize revenue, automate workflows, and manage risk across stock borrow-loan and financing books. You will collaborate with trading, technology, and risk teams, mentor ...

seeking a DV Cleared AI Engineer in Central London (Hybrid) to join a strategic national-security focused tech team. The role leverages AI, ML, data engineering, and Palantir platforms to deliver high-impact programs. You will work with cross-disciplinary engineers on secure environments, contribute to cutting-edge projects ...

seeks an Investor to join their London team and identify investment opportunities in AI-focused startups. The role requires a background in AI/ML technology, venture capital, or related fields. The successful candidate will lead due diligence processes and help portfolio companies tackle strategic and operational challenges. This position ...

Recruitment Solutions is representing a high-growth fintech seeking a Head of Credit & Commercial Strategy. The role will unite Pricing, Decisioning and AI/ML Credit Modelling to advance a data-led credit approach for SMEs and partner channels. The candidate will shape credit and commercial frameworks, explain complex concepts ...

JPMorgan Chase & Co. in London seeks an Associate or VP in the Quantitative Trading & Research group to tackle technically complex problems, from AI/ML applications for pricing to large data processing using cloud capabilities. You will partner with business leads, build scalable data architectures, automate processes, and drive ...

work with sales, partners, and engineering to demonstrate, design and implement solutions, bridging business and technical contexts. Strong data platform knowledge and AI/ML familiarity are essential. The role combines technical demos, customer interactions, and strategic collaboration across teams to close large deals and drive value realization in dynamic ...

heritage brand, is accelerating a large-scale AI and data transformation in London. The role leads MLOps maturity, setting foundations and standards to deliver ML at enterprise scale. You'll drive model monitoring, governance and drift management, collaborating with business stakeholders and acting as the main link to external System ...

candidates have 5–10+ years in enterprise customer success, strong executive communication, and a track record of driving retention and expansion in AI/ML or HPC environments. #J-18808-Ljbffr ...

Manager to lead AI-enabled integration across enterprise APIs and data. You will shape the strategy, govern patterns, and collaborate with Architecture, AI/ML, Salesforce, and security teams to enable scalable, secure AI adoption while maintaining compliance across healthcare environments. You will oversee a globally distributed engineering team, drive ...

Arondite is seeking Deployed AI Engineers to own AI solutions from problem understanding to production. You’ll deploy AI/ML models in our software, in the cloud and on edge devices, tackling practical challenges from data gathering to ethical considerations. You will join a high-performance team shaping ...

Marlin Selection Ltd seeks an expert in ML-driven forecasting to develop and productionise time-series models for energy generation. You will build forecasting pipelines, collaborate with data engineering to onboard data feeds and monitor quality, and analyse power market fundamentals to improve model features. The role also involves maintaining ...

lead the delivery of AI- and data-enabled products and platforms from shaping through production. You will lead multidisciplinary teams across AI/ML, data, software, and platform to deliver trusted, production-grade capabilities, partnering with senior stakeholders and Product Managers to align outcomes and technical direction. The role emphasizes ...

seeking a senior leader for AI Systems within the AI Accelerator to build and guide a world‐class team of scientists and ML engineers. You will design scalable architectures, supervise deployment, and shape the AI strategy to advance disease understanding and portfolio impact. The role is hybrid with ~4 days ...

London is seeking a Principal AI Engineer to shape the firm's AI strategy and lead the full lifecycle of AI/ML initiatives. You will partner with senior stakeholders to translate AI opportunities into measurable business outcomes and drive platform-wide adoption. The role demands strategic thinking, architectural leadership ...

Research Engineer to advance research and ship AI-enabled features from London in a hybrid-remote setup. You will work on scalable ML models, with a strong emphasis on practical product impact and close collaboration with product teams. The role requires a strong math background, expertise in PyTorch, and experience ...

patient segmentation and target discovery. You will lead significant research programs, mentor junior scientists and publish findings in peer-reviewed venues, while collaborating with ML Engineers to productionize #J-18808-Ljbffr ...

Security Institute in London is seeking a Research Engineer/Scientist for the Control Red Team to advance AI safety through rigorous ML experimentation and adversarial testing. You will design studies, implement attacks, and help quantify how well monitors prevent harm while collaborating with government-facing partners. The role welcomes ...

participants. You will shape the problems, model signals, and work with other teams to turn ideas into measurable experiments. You’ll combine data science, ML and statistics to build production-ready solutions that balance speed, cost and impact, joining a mission-driven company that values rigorous thinking and practical outcomes. ...

first role places you at the heart of complex client environments, designing and shipping production-grade code that integrates Encord into customers' data and ML pipelines. As an early member of the Forward Deployed team, you’ll own system design decisions, work directly with client engineers, and help scale this ...

delivery across the client's footprint. The candidate will mentor junior staff, drive best practices, and leverage cutting-edge technologies such as AI and ML within a fast-paced #J-18808-Ljbffr ...

ownership skills, focusing on delivering value to members and shaping solutions. Ideal candidates will have 4+ years of experience building software and expertise in ML or AI features. This hybrid role allows for flexibility, with core work based in-person in London, along with generous employee perks. #J-18808-Ljbffr ...

driving execution in a fast-paced environment. You will work closely with modelling teams on features core to Runna’s mission, including AI/ML #J-18808-Ljbffr ...

hedge fund, looking to hire a C++ Engineer to help build the infrastructure for his systematic strategy. The team has PMs, Quant Researchers and ML Engineers, and they're looking for this hire to build the execution stack, trading systems and systematic infrastructure. Stack: C++, Python, Linux This offers ...

recruiting and representing Scale's AI work externallyWhat we look for7+ years of engineering experience, with a multi-year track record owning AI/ML systems in productionExperience judging the quality of training data, selecting the right adaptation method for a given model, evaluating fine-tuning results, and balancing serving … latency, and quality trade-offsExperience owning an AI-powered product end to end, including direct involvement in the AI's behaviour rather than implementing ML work scoped by another teamA track record of establishing standards that outlived the projects they were built for, such as an evaluation methodology, an MLOps ...

representing Scale's AI work externally What we look for 7+ years of engineering experience, with a multi-year track record owning AI/ML systems in production Experience judging the quality of training data, selecting the right adaptation method for a given model, evaluating fine-tuning results, and balancing … quality trade-offs Experience owning an AI-powered product end to end, including direct involvement in the AI's behaviour rather than implementing ML work scoped by another team A track record of establishing standards that outlived the projects they were built for, such as an evaluation methodology, an MLOps ...