Top Machine Learning Jobs in London

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

The Senior Product Manager will set product direction, own the development lifecycle, collaborate with teams, and ensure high-quality outputs. This role requires strong opinions on product quality and customer insights.

Design, build, and optimize intelligent systems using AI techniques to solve real-world problems. Responsibilities include data processing, model development, and collaboration.

As a Machine Learning Research Engineer, you will design and implement systems for training and evaluating large language models, collaborate with researchers, and contribute to scalable ML applications in an academic setting.

Lead and grow the MLE sub-chapter, own and evolve the MLOps platform, enable scalable production ML, set governance and standards, and partner with Data Science and Platform teams to deploy, monitor, and maintain robust ML systems.

Lead the design, development, and verification of high-performance autonomy solutions for the defense industry, involving algorithms, system architecture, and mentoring.

The Head of Computer Vision will lead a team of ML Engineers, drive the long-term ML strategy, focus on breakthrough innovations, and establish cross-functional partnerships while mentoring and scaling the team effectively.

As a Senior Backend Engineer at Contentful, you will develop AI integrations and platform features to enhance the internal AI ecosystem while collaborating with cross-functional teams to innovate AI-driven solutions.

The software engineer will develop AI tools for sustainability reporting, collaborating on product strategy and ensuring code quality while leveraging LLMs.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

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 Customer Value Architect will engage with customers to ensure the effective adoption and value realization of the Neara platform, focusing on ROI metrics and customer relationships.

Design and own machine learning platforms for pricing technology, streamline workflows, and ensure reliable model performance at scale.

The role requires developing ML and quantitative systems using financial time series data, deploying models, and improving signal evaluation for investors.

As a Software Engineer, you'll lead AI implementation projects for the UK public sector, designing innovative solutions and engaging directly with customers to address complex challenges.

The role involves building infrastructure for training open source foundation models, with emphasis on autonomy and contributing in a dynamic team.

The Director of Data & Analytics will lead financial crimes advisory engagements, mentor teams, ensure quality deliverables, identify business opportunities, and develop strategic relationships while managing client expectations and risks.

The Senior Machine Learning Engineer will design and build data pipelines for multimodal training, ensuring quality and efficiency in data handling. Responsibilities include collaborating with scientists, maintaining infrastructure, and implementing validation frameworks for reliable ML workflows.

As a Lead Machine Learning Engineer, you will set technical direction for ML projects, design scalable systems, mentor engineers, and drive innovation. You'll ensure successful project outcomes while balancing trade-offs and guiding team priorities.

Design and build machine learning systems to detect fraud and policy violations, working with partners to translate requirements into effective models using LLMs and deep learning.

The Partner Marketing Manager will oversee the end-to-end partner marketing efforts, build relationships with technology partners, execute joint campaigns, and develop marketing frameworks to enhance pipeline growth.

As a UX Writer at Nebius, you'll improve user experience by creating UI copy, collaborating with teams, and developing guidelines.

The Senior Machine Learning Engineer will develop production-ready trading models, design tooling and frameworks, and optimize performance using Python and modern ML libraries.

The role involves developing and optimizing AI models, conducting research, and innovating new features for generative AI tools, enhancing creative user experiences.

Develop the ML compiler stack for AI acceleration hardware and optimize performance for large language models in a collaborative environment.