Top Machine Learning Jobs in London

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

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.

Deliver AI/ML solutions by developing and deploying models, integrating RAG pipelines, evaluating performance, and collaborating across teams. Stay updated with AI advancements.

You will analyze and enhance AI models related to Eastern European events, annotate data feeds, and work on improving real-time data tooling.

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.

Design and build scalable data pipelines, data models, and feature stores for analytics and ML. Deploy and manage cloud-native AWS data applications using CI/CD. Ensure production pipeline quality, performance, and reliability with strong observability and engineering best practices while collaborating with ML engineers, data scientists, and BI developers.

As a Machine Learning Engineer, you will design, build, and deploy ML systems, manage AI project methodologies, and support delivery with technical expertise, collaborating with cross-functional teams and stakeholders.

The role involves developing an ML research and deployment pipeline, implementing best practices in model and feature management, and ensuring robustness in production through effective solutions and collaboration.

As an ML intern, work on a significant research project utilizing machine learning techniques, supported by experienced mentors, culminating in a presentation of findings.

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

The Lead Data Scientist will set technical directions, oversee complex projects, mentor teams, and build relationships with clients while ensuring high-quality deliverables.

As a Senior Staff ML Scientist, you'll lead ML strategy at Monzo, mentor teams, develop AI solutions, and influence design in operations.

As a Lead ML Ops Engineer, you will define standards for ML delivery and operations, shape ML systems engineering, and influence practices across teams.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

Develop ML systems for autonomous driving, lead projects using RL and deep learning, and collaborate with cross-functional teams to improve Waymo's technology.

As a Principal Java Engineer II in the ML Core team, you will build and maintain machine learning components for Elasticsearch, collaborate with engineering teams, and ensure scalable and high-quality code. You'll lead projects from design to implementation while supporting the team and community.

Design, test, and implement innovative machine learning models to enhance predictive analytics for sports betting based on historical data.

The role involves developing and optimizing machine learning models and collaborating on research projects with quantitative researchers.

Conduct research using machine learning techniques to develop investment strategies, leveraging extensive data and computational resources.

The role involves developing machine learning models, optimising system performance, and collaborating with diverse teams on innovative projects.

As a Machine Learning Performance Engineer, you'll optimize large-scale workloads across GPU and CPU infrastructure, collaborating with researchers and engineers to improve performance and capabilities of research workloads.

As a Staff Machine Learning Engineer, you will lead the development of complex ML systems and MLOps pipelines, mentor junior engineers, and ensure scalable and reliable solutions for retail workflows.

Lead the development and deployment of AI systems, designing scalable ML software and infrastructure while mentoring junior engineers and advising clients.