Top Machine Learning Jobs in London

Lead the development and CMC strategy for next-generation biologics and ADCs, overseeing technical development and ensuring scalable manufacturing.

As a Research Scientist in Personalization, you'll improve Spotify's personalization experiences using machine learning and generative AI, collaborating with interdisciplinary teams and publishing research to enhance search and recommendation systems.

Lead technical strategy for claims fraud data science, designing and shipping production ML and Generative AI/LLM systems. Drive system-level improvements for model integration, monitoring, feedback loops and QA. Influence cross-functional product and engineering decisions to scale AI-driven claims automation and improve measurement of performance and uncertainty.

Contribute to ultra realistic autonomous vehicle simulations using foundation models, collaborate with teams, and develop evaluation metrics for simulation realism.

As Director of Product Management for AI Search, you'll define the strategy, manage product development, collaborate with teams, and lead product managers while focusing on customer needs and innovation.

Own product strategy and roadmap for data collection, transformation, and quality within Algolia's Data Platform. Drive ETL/ELT, schema alignment, connectors, APIs, and monitoring to reduce onboarding time, improve data quality, and increase adoption. Partner across Connector, AI Search, Infrastructure, GTM, and Professional Services to deliver measurable outcomes and platform metrics.

Advise clients on analytics best practices; capture requirements; design data models and BI/advanced analytics architectures; build ETL solutions; implement Microsoft BI and cloud data platform solutions; and develop clear reports and dashboards to deliver analytics capability on time and budget.

Lead the development and implementation of a financial crime prevention product, shaping the product strategy and roadmap in a high-growth environment.

This residency offers exposure to AI in finance, focusing on prompt development, evaluating AI judgments against human reasoning, and constructing financial models for AI systems.

Work on prototyping and implementing audio ML algorithms for real-time applications. Present findings and integrate solutions into existing platforms. Collaborate with experts in ML and DSP.

The Senior Product Manager will oversee personalisation strategy, collaborate with Data Scientists and Engineers, and drive data-powered customer experiences focusing on recommendations and ranking.

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.

Kittl is seeking candidates for engineering and product roles within graphic design. The company is looking for driven individuals who are passionate about innovation and willing to take ownership in their work.

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.

Manage and transform data assets, develop ACR data strategy, ensure data governance, oversee data product management, and lead a product management team.

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 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.

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.

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

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.