Top Machine Learning Jobs in London

Lead global financial crime teams and oversee FCC operations, managing compliance, partnership with internal teams, and project coordination while ensuring adherence to regulations.

Design and develop AI-driven features to enhance customer experience, execute ML projects, and optimize AI performance while collaborating cross-functionally.

As a Principal Engineer at M&S, you'll drive technical strategy, influence architecture, and mentor engineers while delivering on personalization, search, and machine learning features in collaboration with cross-functional teams.

The Manager will lead projects focusing on digital and AI advisory, manage teams, develop client relationships, and deliver strategic outcomes to support energy transition initiatives.

As a Product Associate at Lendable, you'll run experiments to improve fintech products, support AI initiatives, and work closely with the Cards team to enhance operations. This role focuses on problem-solving and learning about product building in a fast-paced environment.

As a Senior Machine Learning Engineer, you will design and optimize ML pipelines, lead model validation, enhance production readiness, and collaborate with teams on scalable ML applications.

As an Account Manager, you will develop and maintain relationships with merchant partners, manage client opportunities, and communicate complex solutions clearly.

As Lead Data Scientist, oversee project teams delivering AI solutions, mentor junior team members, and shape technical strategy for financial services clients.

Lead the development and deployment of scalable, production-grade AI systems, ensuring best practices for machine learning. Collaborate with teams and mentor junior engineers.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Senior Ecommerce Manager drives revenue growth for brands on marketplaces, manages cross-functional teams, and develops strategic plans to enhance performance and client relationships.

Lead the data science organization to deliver AI products, mentoring teams and executing a strategic vision for machine learning applications.

The Process Automation Manager will lead a team to improve patient interaction through automation, enhance support workflows, and implement efficient solutions.

The Senior Project Manager will lead ecommerce web development projects, manage multi-functional teams, and ensure successful delivery aligning with client expectations.

The role involves defining and pursuing a research project in general-purpose world models, collaborating with teams to advance visual AI.

Design and build systems for detecting and responding to harm on OpenAI's platforms, collaborating with various teams to enhance safety and integrity.

The Partner Manager, EMEA will expand Datatonic's role as a Google Cloud partner by managing relationships, developing strategic plans, and driving business growth.

Machine Learning Engineer needed to enhance ML platform, build infrastructure, and utilize ML frameworks to solve problems in a financial context.

Design, train, and ship machine learning models for personalized recommendations on Spotify. Collaborate cross-functionally to impact user experience and mentor teammates.

As the Technical Director of AI Safety, you'll lead AI safety initiatives, oversee R&D, mentor teams, and drive innovations, representing Faculty in global AI safety discussions.

The role involves designing and testing AI solutions, managing research projects, collaborating with teams, and introducing new ML concepts for product development.

The role involves reviewing and evaluating content for alignment with guidelines, ensuring quality and consistency in tasks for a data annotation project.

As the Global Director of Social Data, you will establish social media measurement strategies, manage analytics, and lead a global team to enhance data-driven decision-making for brands.

As a Machine Learning Engineer, you will develop and deploy adaptive ML systems, collaborate with partners, and lead product strategy.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.