Top Machine Learning Jobs in London

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

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.

As an Associate Product Manager, you will support the Physical AI platform's development, coordinate across teams, and drive the product roadmap based on customer insights.

Lead enterprise-wide AI-enabled transformation projects: map workflows, prioritize and scale high-value use cases, orchestrate end-to-end automation and decisioning solutions, collaborate with business and tech teams, and mentor junior strategists.

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

The Senior Sales Executive at Stats Perform drives revenue growth by managing accounts, prospecting new clients, and ensuring customer satisfaction through strategic relationships and solutions.

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 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.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

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 Principal Solutions Architect leads technical solution design, partners with hyperscalers, ensures architectural integrity, and drives customer engagement through compelling narratives and demos.

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

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.

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

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

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.

As a Staff AI Engineer, you'll design and implement components of an AI tutoring system, conduct experiments, and create scalable systems integrating LLM capabilities, ensuring high-quality learning experiences.

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

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 a team of economists and data analysts to provide economic analysis, develop policies, and evaluate their impacts. Collaborate across various sectors and communicate findings effectively to stakeholders.

Lead developer-facing work on advanced real-time rendering and neural graphics: optimize GPU/CPU performance, develop and tune neural rendering and AI models, collaborate with AAA studios and NVIDIA architecture/driver teams, build demos, publish and present research.

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

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.