Top Machine Learning Jobs in London

Lead AI solution development, mentor engineers, enhance platform capabilities, collaborate across teams, ensuring robust, secure, and innovative technologies.

The role involves driving net-new enterprise sales for AI solutions, engaging with executives, and leading value-based discussions within strategic accounts.

Lead the global engineering team to scale the platform, develop new products, and ensure robust systems by fostering an engineering culture focused on impact.

Lead the Train Team to develop and enhance personalised training experiences for runners, managing product strategy, mentoring PMs, and ensuring alignment with business objectives.

As a Senior Solutions Consultant, you will collaborate with the sales team to address client needs, demonstrate product capabilities, lead technical discussions, and manage formal proposals, driving sales for Feedzai's RiskOps platform in the financial sector.

The Programme Director will lead initiatives aimed at anti-financial crime, ensuring strategic delivery and effective collaboration across teams, while managing risks and budgets related to KYC, AML, and related practices.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

The Research Scientist Manager will lead a global team in foundational machine learning research, focusing on advanced algorithms and AI systems, mentoring team members, and participating in the entire research lifecycle including coding and experimentation.

The Technical Product Manager leads product discovery, collaborates with stakeholders, and manages the product lifecycle focusing on AI-driven solutions and digital products.

The Enterprise Account Executive will drive new client acquisition, develop sales pipelines, and close business deals by partnering with clients and understanding their needs.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

Lead engineering operations and team, ensure product alignment with strategy, drive project execution, and maintain regulatory compliance in healthcare technology development.

As a Machine Learning Engineer, you will design, build, and deploy production-grade software and MLOps systems, collaborating with data scientists and clients to solve high-impact problems using AI.

The Senior Product Manager will lead the development and implementation of moderation automation strategies to ensure player safety across platforms, driving initiatives from concept to execution while collaborating with cross-functional teams.

As an Engagement Manager, you will build strategic client partnerships, lead the deployment of generative AI tools, and drive measurable client outcomes while embedding deeply within client organizations to unlock value.

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

As an Applied Scientist/Research Engineer, you will develop telemetry-native security agents, conduct large-scale experiments, and communicate with client teams on security and observability solutions.

The Anti-Fraud & Abuse Engineer will design and operate systems to detect and prevent fraud, analyze misuse, and mitigate impacts.

The Senior Account Executive will drive new business in Europe, managing the full sales cycle and building relationships with institutional investors while ensuring client satisfaction.

The Machine Learning Engineer role involves designing, implementing, and deploying ML solutions, focusing on LLMs and collaboration with engineering teams.

The internship focuses on enhancing quantitative and programming skills, working on predictive models, and rotating through various trading teams.

Internship focused on quantitative research, analyzing large datasets, building models, and creating trading strategies with collaboration and education.

As a Machine Learning Researcher, you will develop deep learning models for trading strategies, collaborate with engineers and traders, and explore cutting-edge ML techniques.

As a Senior Machine Learning Scientist, you will identify ML opportunities, design algorithms, conduct analyses, and collaborate with product teams to build effective ML solutions for customer service enhancement.

As a Staff Machine Learning Scientist, you will focus on hiring and mentoring staff, raising technical standards, and applying machine learning to improve customer experiences. You'll research algorithms, conduct data analysis, and collaborate with teams to produce ML products.