Top Machine Learning Jobs in London

Lead architecture and delivery of production-grade ML and GenAI solutions on Databricks, support Solution Architects in pre-sales and technical deep-dives, build MVPs, design RAG and LLM-based systems, mentor teams, produce technical content, and drive platform adoption through trainings and events.

As a Machine Learning Engineer Intern, you will develop AI models, work with deep learning algorithms, and enhance understanding of neural mechanisms in the Brain & AI team at Tether.

The intern will develop AI models, enhance neural mechanism understanding, and collaborate on generative modeling while maintaining code quality.

The Senior Machine Learning Engineer will implement ML algorithms for personalization in gaming, design experiments, monitor player data, and collaborate across teams to enhance player experience and game development efficiency.

Lead the development and optimization of AI and machine learning models, mentor junior engineers, and enhance AI-driven features for the platform.

Design, research and deliver ranking ML solutions powering personalised feed and search. Build and evaluate models, run large-scale experiments, collaborate with product and engineering, share findings and ML best practices.

As a Data & AI/ML Architect, you will conduct workshops, oversee project delivery, design architectures, and mentor juniors while engaging with clients.

Lead design, deployment, and iteration of large-scale ranking models (recommendations and search). Collaborate cross-functionally, manage end-to-end ML lifecycle, drive research and innovation, and mentor team members while delivering measurable product outcomes.

The Machine Learning Researcher will build deep learning models for trading strategies, collaborating with a team to optimize systems and approaches to tackle market challenges.

As a Lead Machine Learning Engineer, you'll set technical directions for AI projects, design scalable ML systems, lead project delivery, and mentor a team of engineers while collaborating with clients to achieve their goals.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

The role involves building and maintaining ML and cloud infrastructure for training large-scale generative models. Responsibilities include designing GPU clusters, supporting distributed training, managing storage systems, and collaborating with researchers and engineers.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

The role involves open-sourcing models and maintaining libraries, optimizing performance, and collaborating with the open-source community. Requires expertise in machine learning and strong programming skills.

Seeking a Senior Machine Learning Platform/Ops Engineer to productionize ML systems with reliability, collaborating with teams to enhance ML lifecycle from training to deployment.

The Senior ML Infrastructure Engineer will manage and optimize the ML infrastructure, focusing on training pipelines, model serving, and collaboration with research teams.

The Senior Machine Learning Scientist will develop ML models for single-cell and multiomic data, translating biological insights into therapeutic strategies, collaborating with experimental teams, and shaping the research roadmap.

As a Research Engineer, you will develop and optimize AI models for drug discovery, collaborating with scientists to advance ML applications in biopharmaceuticals.

Lead the development of AI/ML infrastructure for simulations, collaborating with teams on model scaling, system design, and mentoring junior engineers.

The role involves building and operating ML systems and infrastructure for large foundation models, data pipelines, and experiment orchestration in a collaborative environment.

The Senior Machine Learning Engineer will develop and deploy ML models, enhance infrastructure, and collaborate on customer projects, contributing to innovative solutions for carbon emission reduction.

Lead the development of AI infrastructure and ML operations, ensuring compliance and scaling capabilities across Apex Group while collaborating cross-functionally.

The role involves developing, fine-tuning, and optimizing large language models, building ML infrastructure, and implementing CI/CD practices for AI/ML systems.

As a Machine Learning Engineer, you will develop ML models, optimize solutions, automate workflows, and design ML architecture while ensuring high-quality production software delivery.

The role involves engineering machine learning solutions, optimizing models, conducting data science experiments, and leading projects while ensuring software quality and cloud integration.