Top Machine Learning Jobs in London

Develop advanced AI systems for reasoning about biological problems, focusing on LLM-driven models and intelligent agents in drug discovery.

Manage the product lifecycle for network products, define roadmaps, gather customer feedback, and collaborate with teams to enhance user experience.

As a Product Manager, you will lead the lifecycle of real-time payments fraud prevention products, translating client needs into product specifications, and collaborating with ML experts and regional teams for successful implementation.

As a Senior Machine Learning Engineer, you will develop ultra-realistic simulations for autonomous vehicles using foundation models, collaborate with teams, design experiments, and integrate models into applications.

As Director of Machine Learning Science at Expedia, you'll lead Content AI strategy, oversee AI innovation, and build a world-class team to enhance content generation and relevance across platforms.

As a Staff Machine Learning Engineer, you will enhance AV simulations using foundation models, lead experiments, develop realism metrics, and manage teams.

The Pricing Advisory professional will assist clients in enhancing pricing strategies through consultation, model development, implementation support, and training sessions, while managing stakeholder relationships and navigating challenges in pricing sophistication.

The Associate Pricing Director will develop pricing strategies for subscription journals, manage pricing automation, and foster stakeholder alignment across the Academic division to drive growth and impact.

Lead technology strategy for AI and Generative AI, develop architectural solutions, ensure system integration, and promote AI innovation across teams.

Designs and deploys supervised machine learning classifiers using curated patent data, conducts desk research on technologies, scopes and defines client classifier taxonomies, supports customer meetings and data review, and delivers ad-hoc analysis and presentations as projects progress.

Lead Supply Chain Planning projects, provide expert solutions, develop business, and improve client supply chain processes using tools like SAP IBP and Kinaxis.

As an ML Research Engineer, you will develop computational methods and infrastructure to enhance molecular simulations and machine learning force fields for materials discovery.

The Sales & Account Director will drive new business development and manage accounts for Quvia's Commercial Shipping solutions, ensuring customer growth and retention through strategic selling.

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

As a Staff Machine Learning Engineer, you will build ML systems for content understanding, develop classification models, and improve content quality through collaborative work with various teams.

The Staff Machine Learning Engineer builds and scales ML systems for content detection and policy enforcement, collaborating with various teams to ensure safety and compliance in Spotify's user experiences.

Own and grow the EMEA territory by building pipeline, managing full sales cycles, closing enterprise travel-tech deals, and developing partnerships with TMCs and travel providers. Represent the company at events, engage senior executives, and share market feedback with Product and Leadership to drive strategic outcomes.

Develop and optimize AI models for specialized hardware, collaborating with research and software teams to enhance performance across large-scale systems.

As a Customer Experience Specialist, you'll deliver outstanding customer interaction through multiple channels, assist in debt resolution, negotiate repayment plans, and ensure compliance with laws and regulations.

The Machine Learning Engineer will design, train, deploy, and evaluate AI models to address public sector challenges, ensuring high-quality data training and evaluating systems.

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.

This role focuses on financial transparency and governance for operational delivery, enabling technical leaders to maintain focus on outcomes and quality without adding delivery overhead.

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