Top Machine Learning Jobs in London

As a Machine Learning Engineer, you will develop and optimize anomaly detection algorithms and AI/ML pipelines, collaborating with engineers to handle large datasets and providing insights through real-time data processing.

The Senior Machine Learning Engineer will support AI research and development by deploying, managing, and monitoring machine learning models, particularly large language models (LLMs). Responsibilities include collaborating with teams, automating ML workflows, optimizing model inference, and ensuring reproducibility of AI experiments to enhance AI-driven tools at Sonar.

As a Machine Learning Engineering Lead, you will lead a team in developing and scaling machine learning models and algorithms for drug discovery. You will ensure high engineering standards for models, collaborate with diverse teams, build a talented engineering team, and make core technical decisions.

As an AI Research Scientist at Autodesk, you will design, develop, and optimize machine learning models for cutting-edge product features. You'll collaborate with engineering teams on scaling and improving deep learning training in a flexible global environment.

As a Senior Software Engineer, you will collaborate with a global team to build ML-powered product features, develop scalable distributed systems for data processing, and handle large, unstructured data. Responsibilities include developing data pipelines, ensuring compliance, and producing data insights and visualizations.

As a Research Scientist in machine learning, you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the drug discovery world.

As the Director of Machine Learning, you will lead and inspire research and engineering teams in the development and deployment of advanced speech recognition technologies. You will shape the vision for machine learning at the company, oversee major research initiatives, and ensure the integration of AI innovations into scalable production systems. Additionally, you'll represent the organization at industry conferences and guide teams toward operational excellence.

As a Senior Machine Learning Engineer, you will contribute to shaping the future of Drug Design by enhancing Isomorphic Labs' ML product suite, collaborating with engineering and research teams, and setting high standards for engineering practices. You will be pivotal in strategic decisions regarding tooling and infrastructure, ensuring scalability and maintainability of ML models.

As a Staff Machine Learning Engineer, you will contribute to enhancing AV simulations using foundation models, design experiments, develop realism metrics, and integrate large models into simulations, while collaborating with teams across locations and helping to hire skilled engineers.

As a Machine Learning Engineer in R&D, you will collaborate with the NLP and Assisted Creation teams, developing and deploying ML models and data processing pipelines to enhance video production. You will own projects, evaluate solutions, and ensure features align with commercial goals.

The Senior AI Software Engineer leads the integration and assessment of AI tools to enhance software delivery processes. Key responsibilities include evaluating AI platforms, collaborating with development teams, and developing strategies for AI tool adoption. Candidate should possess extensive fullstack experience, solid understanding of machine learning, and excellent communication skills.

As a Senior Proposition Solutions Architect at Ocado, you will develop and implement automation solutions, collaborate with sales and clients, and manage technology requirements for global operations outside grocery e-commerce.

As a Research Engineer/Scientist at Anthropic, you will develop and enhance large-scale machine learning systems, improve code reliability and efficiency, and run scientific experiments. You will collaborate with a diverse team to ensure the effectiveness of AI systems, focusing on safe and trustworthy technology.

The Data Strategist will develop and implement comprehensive data strategies, focusing on data engineering, governance, and architecture. Responsibilities include integrating AI and machine learning into data platforms, collaborating with clients, facilitating workshops, and ensuring compliance with data privacy regulations. The role also involves leading proof of concepts and aligning technical projects with business objectives.

As a Data Scientist Lead at JPMorgan Chase, you'll use AI and analytics to innovate investment banking strategies, focusing on Recommender Systems, Time Series Forecasting, and Classification Systems. You will develop machine learning systems, derive actionable insights from data, and present findings to stakeholders effectively.

As an AI Engineer at Citi, you will lead innovative projects to improve developer productivity using Generative AI. Responsibilities include assessing tooling and processes, applying AI evaluation methodologies, collaborating on scalable applications, mentoring engineers, and driving cultural change within the organization.

As a Research Scientist Intern at Adobe, you will work under a mentor to investigate and develop solutions in generative models and computer vision. You will experiment with new ideas, create proof of concept demos, and present findings to enhance content creation workflows and Adobe products.