Top Machine Learning Jobs in London

Machine Learning Engineer needed to enhance ML platform, build infrastructure, and utilize ML frameworks to solve problems in a financial context.

Design, train, and ship machine learning models for personalized recommendations on Spotify. Collaborate cross-functionally to impact user experience and mentor teammates.

As the Global Director of Social Data, you will establish social media measurement strategies, manage analytics, and lead a global team to enhance data-driven decision-making for brands.

As a Data Scientist in the GenAI CoE, you'll design experiments, build GenAI systems, and analyze results. This hybrid role emphasizes collaboration and innovation, focusing on improving AI solutions and processes.

The AI Product Owner will define, shape, and deliver AI capabilities, manage the AI product roadmap, engage with clients, oversee SDLC delivery, ensure compliance, and support internal teams.

Lead client-facing analytics engagements in Strategic Revenue Management/Revenue Growth Management for CPG clients. Define business problems, lead advanced-analytics solutions (SQL/Python/R/BI), manage stakeholders, ensure business value, perform deep-dive analyses, and communicate insights and recommendations.

Lead clinical studies by providing statistical support, employing advanced analytical methods, and collaborating with cross-functional teams to optimize clinical development processes.

The Principal Solution Engineer will solve complex customer problems, demonstrate Snowflake's technology, and collaborate with sales and technical teams to drive customer success.

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.

The role involves advancing ASR engines, developing AI features, scaling models across GPUs, and researching new TTS techniques in a collaborative environment.

Lead the design and development of complex AI solutions, manage a team of engineers, and engage stakeholders to deliver innovative technology solutions.

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

The role involves designing, building, and deploying ML systems, supporting stakeholders, and operationalizing AI applications in Defence.

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.

The Senior Data Scientist will develop statistical and machine learning models, analyze complex datasets, and collaborate across teams to enhance Ravio's compensation products.

Lead the lifecycle of analytics and AI products, aligning them with business strategy and managing cross-functional teams to deliver user-focused solutions.

The Technical Talent Partner will partner with leaders, source top talent, champion diversity, and enhance the employer brand to build effective teams in AI research and engineering.

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

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.

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.

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

The role involves collaborating with sales teams to solve complex customer data challenges using Snowflake technology, presenting to various audiences, and developing technical strategies for customer success.

Lead a team of analytics professionals to develop data-driven strategies for B2B operations, overseeing analytics roadmaps and fostering collaboration with other teams. Communicate insights to stakeholders and stay informed on industry trends.