Top Machine Learning Jobs in London

Lead compliance for the UK and EU at a quant trading hedge fund, oversee regulatory obligations, conduct training, and liaise with regulators.

Register your interest in AI roles, highlighting your passion and experience in artificial intelligence and how it relates to solving real-world problems.

The Computational Protein Design Scientist will leverage computational tools and AI to design proteins, collaborating with experimental teams and improving data-driven insights in synthetic biology.

Fogsphere seeks a PhD-level AI/ML Researcher to develop innovative solutions in deep learning and computer vision, leading research efforts and collaborating with engineers to implement ideas.

The Head of Paid Media will define and manage a comprehensive paid media strategy, oversee a large budget, lead a team, and drive performance growth through innovative marketing tactics and effective campaign management.

As a Customer Success Manager, you'll drive customer outcomes, manage renewals, and collaborate with internal teams, ensuring customer satisfaction and success with Hook's platform.

The Customer Success Manager will drive customer outcomes and renewals, act as a product expert, engage with stakeholders, and contribute to customer growth excellence.

The role requires leveraging financial knowledge and analytical skills to develop mathematical models predicting financial market movements, utilizing strong quantitative and computing skills in research.

G-Research seeks a Quantitative Researcher to use machine learning and statistical methods to analyze global financial markets. A Master's or PhD in a quantitative field is preferred, but prior finance experience is not necessary.

The role focuses on using advanced statistical and ML techniques to analyze financial market data and generate predictive insights.

Lead pre-sales activities at Datatonic, shaping data and AI solutions, architecting transformations, and advising clients across various industries. Build trust with C-suite, manage RFPs, and represent the company in strategic engagements.

Lead development and deployment of machine learning and statistical models using Python, SQL and PySpark to deliver scalable, client-facing analytics solutions for Tesco Insurance & Money Services, collaborating with stakeholders to turn data into measurable customer outcomes.

Lead and build OLIVER's analytics capability, developing GenAI-powered and predictive analytics solutions, integrating products across teams, piloting innovations, supporting pitches, and upskilling the analytics community to drive commercial impact and responsible data practices.

The Research Scientist will innovate in reinforcement learning, driving research projects, implementing algorithms, running experiments, and collaborating with peers to achieve impactful results.

As a Senior Machine Learning Engineer, you will design, develop, and optimize ML solutions for enterprise customers, focusing on generative AI for improved content management. Collaborate with teams to ensure high-quality outputs and lead ML education efforts.

Join the Multimedia System Standards team to participate in international multimedia standards development, focusing on advanced video processing and storage technologies.

As a Research Engineer, you will bridge Product Management and Engineering by investigating AI capabilities, validating approaches, and shaping product strategies through rigorous research and testing.

The Engineering Manager - Platform Reliability leads a team to enhance platform reliability through engineering excellence, oversees resource management, and collaborates with teams for scalable service development.

The Product Manager will lead the vision for the demand forecasting module, improving model performance and driving product adoption while collaborating with various teams.

The Solutions Advisor will guide clients in using Blue Yonder's solutions, conduct process analyses, and ensure effective implementation and adoption.

The Education Architect Int will design, develop, and deliver educational programs, conduct training sessions, and collaborate across departments to enhance learning initiatives at Blue Yonder.

Lead the Trust Detection team, develop ML models for user safety, manage resources and stakeholders, and focus on data-driven user outcomes.

Research and develop machine learning models for options trading, managing end-to-end processes from hypothesis to deployment, focusing on impactful outcomes and leveraging large data sets.

The CRM Analytics Manager will drive data-driven strategies for CRM targeting and optimization, utilizing analytics and machine learning to enhance customer engagement and retention.

As a Machine Learning Engineering Intern, you will work on scene understanding for AR experiences, prototype machine learning models, and collaborate with teams to integrate your work.