Top Machine Learning Jobs in London

Lead a team to develop innovative software solutions, improve trading operations, and enhance user interfaces while collaborating across teams to drive technical decisions and deliver results.

Lead the deployment of LLM-powered systems, collaborate with stakeholders to implement high-impact use cases, and enhance agent orchestration and performance.

As a Lead Product Analyst, you will analyze customer needs, support cross-functional teams, and drive data-informed product decisions to enhance Wise's financial services.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

As a Security Modeling Associate, you'll enhance credit risk models using data science and machine learning, and perform rigorous validation processes.

As a Product Manager for Fraud at JPMorgan Chase, you will define product strategy, run discovery activities, manage cross-functional squads, and ensure compliance with regulations.

Lead technical projects for the Workers AI team focused on deploying AI inference, building innovative features, and enhancing developer experience.

As an Associate AI/ML Researcher, you will apply advanced AI/ML methods to enhance trading strategies, improve models, and drive predictive analytics in trading systems.

As an Applied AI ML Senior Associate, you will develop machine learning models for tasks like time series analysis and collaborate with various teams to deploy these solutions.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

As a Senior Machine Learning Engineer, you will design and optimize ML pipelines, lead model validation, enhance production readiness, and collaborate with teams on scalable ML applications.

As an AI & ML Associate, you will work on transforming customer onboarding and software engineering using AI solutions, conduct data analysis, and collaborate with engineers and stakeholders.

The Lead Software Engineer will develop secure, high-quality solutions, lead teams, evaluate architectures, and ensure software aligns with business needs.

The role involves leading a data science team, overseeing model development, integrating AI solutions, and collaborating on advanced analytics projects in risk management.

The Machine Learning Researcher will conduct research and development in machine learning for options trading, owning the full lifecycle from design to deployment, and leveraging large datasets to create impactful models.

Lead the implementation of AI and Machine Learning solutions for KYC and onboarding operations, conducting data analysis and fostering innovation in the team.

IQVIA invites expressions of interest for new AI initiative roles in various areas including AI Science, Data Engineering, and Biomedical Science, as they build a world-class team for transformative AI solutions.

Lead a team to prevent and investigate financial crime, ensuring compliance with regulations and enhancing processes while maintaining high-quality outputs.

As Executive Director of Toxicology, you'll lead a team at the intersection of Discovery and Development, guiding safety studies and integrating innovative approaches alongside data science and AI to advance drug development.

Lead the Global payment rail expansion and develop anti-fraud practices, while optimizing user deposit and withdrawal experiences globally.

The role involves managing data science teams, guiding their development, leveraging data for strategic decisions, and ensuring high performance in a dynamic environment.

Equilibrium Energy seeks motivated individuals for various roles including Software Engineering, Data Science, Energy Trading, and Product Management. Candidates are invited to submit resumes and cover letters for future openings.

Lead large-scale marketing effectiveness projects, enhance campaign performance, and develop strategic learning agendas to improve marketing outcomes for clients.

The role involves developing capital markets strategies, managing funding projects, originating transactions, and maintaining investor relationships. Strong Excel skills and communication are essential, with a focus on impact in a fast-paced fintech environment.

Lead the trading controls function, ensuring compliance with regulations, managing risks, and promoting proactive risk management practices within a team.