Top Machine Learning Jobs in London

The ML Ops/Data Engineer will ensure reliability and scalability of ML systems, manage data pipelines, monitor performance, and collaborate with teams for optimization.

As a Lead ML Engineer, you'll design and build recommendation systems, combining AI and user preferences to enhance shopping experience, overseeing the ML lifecycle from models to deployment.

As a Senior Machine Learning Engineer, you will lead the development of AI systems, design production-grade ML software, and mentor junior engineers while engaging with clients on technical strategies.

The role involves optimizing ML model performance, focusing on efficient training, low-latency inference, and understanding low-level GPU and networking technologies.

Join a Machine Learning team to build deep learning models for trading strategies, collaborating with researchers and traders in a dynamic environment.

Develop scalable media intelligence systems, focusing on backend architecture and integration of AI/ML workflows, optimizing media processing pipelines, and ensuring system reliability and performance.

The Senior Machine Learning Engineer will design, build, and optimize ML models and pipelines for a digital ad exchange platform, focusing on real-time inference and integration within data infrastructure.

The Graduate Machine Learning Researcher will design, test, and implement machine learning models to improve predictive accuracy in sports betting analytics. In a collaborative environment, they will interface with experienced professionals and be involved in R&D from design to implementation, utilizing their mathematical insights.

The Senior Applied ML Engineer will build and maintain production ML systems for catalogue decision-making, improving data quality, product categorization, and discoverability.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As an ML Research Engineer/Scientist, you'll develop machine learning models for Boltz Lab, collaborating with ML researchers and domain experts in chemistry and biology to enhance drug discovery processes.

The Machine Learning Engineer will design and train deep learning models for physics simulations, focusing on optimization and production integration while collaborating with research and engineering teams.

As a Research Engineer in ML, you'll optimize large-scale ML systems, collaborate with Research Scientists, enhance models, and implement algorithms in Python.

The Machine Learning Engineer will develop and maintain scalable models, design data architecture, and collaborate with stakeholders to optimize AI solutions in hospitality.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

As a Staff Cloud Site Reliability Engineer, you will build and scale AI cloud platform reliability, define operational standards, and lead SRE initiatives.

The Senior Machine Learning Engineer will lead the development and deployment of AI systems, designing scalable ML software, collaborating with teams, and mentoring juniors.

The role involves designing generative modeling approaches, collaborating with experimental teams, and developing models to understand and control cellular decision-making for drug discovery.

Lead development of machine learning models, enhance user feedback analysis, drive technical direction, and optimize evaluation systems for autonomous vehicles.

The Machine Learning Engineer will build, refine, and optimize AI/ML prototypes while collaborating with teams on technical documentation, deployment, and model integration.

The Machine Learning Engineer will develop AI systems to enhance insurance claims workflows, deploy scalable ML solutions, and collaborate with insurance specialists.

As a Research Engineer in Reinforcement Learning, you will develop and optimize RL infrastructure, push boundaries in AI research, and collaborate on scalable systems for large language models.

The role involves developing advanced machine learning models for game rendering and streaming, conducting R&D, and collaborating on publications.

The Senior Staff Machine Learning Engineer will define and implement ML strategies for content safety and compliance, build scalable systems, and ensure high-quality content evaluation.