Top Machine Learning Jobs in London

The Data Engineering Manager will lead the Treasury Global Liquidity team, responsible for system architecture, engineering practices, and team mentorship to enhance liquidity observability and resilience.

Lead data science initiatives for global marketing at Wise, focusing on building actionable models for marketing effectiveness and ROI. Drive growth strategy by partnering with various teams, mentor data science staff, and innovate in developing advanced marketing models.

The Senior Product Manager will lead the development and automation of the screening handling domain, enhancing customer experience and operational efficiency in handling screening cases.

As a Lead AI Engineer, you'll architect and deploy generative AI systems, optimize large models, and lead teams in AI engineering across financial services.

Lead the AML Risk Data Science team to develop machine learning solutions for detecting financial crime, optimize performance, and mentor team members.

The role involves testing, validating, and benchmarking ML software, focusing on performance, reliability, and correctness. It requires collaboration on ML frameworks and infrastructure, developing automated testing tools, and owning testing aspects and innovation.

As a Staff Software Engineer (ML QA), you'll design and maintain testing infrastructure for the ML software stack, focusing on automation, software quality, and mentoring junior engineers in a collaborative environment.

The role involves designing, developing, and maintaining test infrastructure for a complex ML software stack, focusing on automation and engineering best practices.

The Senior ML Engineer will test and benchmark ML software stacks, validate performance, and collaborate with software teams, focusing on building automated testing pipelines.

As a Machine Learning Engineering Intern, you will work on scene understanding for AR experiences, prototype machine learning models, and collaborate with teams to integrate your work.

Research and develop machine learning models for options trading, managing end-to-end processes from hypothesis to deployment, focusing on impactful outcomes and leveraging large data sets.

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

As a Software Engineer, you will design solutions, write quality code, collaborate with teams, and ensure efficient data delivery for client applications.

The Director of AI Engineering leads technical strategy, delivering advanced AI solutions while mentoring teams and managing projects in financial services.

The Machine Learning Engineer will design, implement, and optimize ML models for recommender systems, collaborating with teams to deploy solutions and improve efficiency.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Support and maintain Risk-as-a-Service and deployed analytics solutions, perform data analysis and quality checks, troubleshoot system and data issues, assist testing and documentation of features, collaborate with global stakeholders, and identify process improvements to ensure accurate, reliable financial risk outputs.

Lead and deliver a portfolio of internal data and product solutions: plan programs, translate requirements into deliverables, prioritize backlogs, manage vendors and stakeholders, oversee testing, rollout, onboarding and change management, enable users, drive adoption, and contribute to product roadmaps and reporting.

Design, implement, and optimize a low-latency high-frequency trading platform for cryptocurrency markets; collect market data, disseminate orders, analyze throughput/latency, build performance tools, and develop access to historical data and simulation systems.

Lead roadmap and end-to-end product delivery for assigned feature set: ideation, planning, build, launch, and growth. Drive customer validation, mentor junior PMs, collaborate with design and engineering, engage early adopters, and integrate AI/ML capabilities to inform decisions and enhance product value for banking customers.

Lead FTSE Russell's enterprise data strategy, governance, quality, lineage and target-state architecture. Build and run a Data Management function, drive large-scale data transformation and analytics programmes, embed change management, and partner with business, tech, risk and compliance to reduce data risk and improve data-driven outcomes.

The Enterprise Account Manager will drive revenue growth by managing enterprise accounts, focusing on renewals, expansion, and customer success. Responsibilities include strategic account planning and collaborating with internal teams to ensure customer satisfaction and product adoption.

The Principal Data Scientist will lead complex projects, drive innovation in AI solutions, mentor teams, and influence data science strategy.

Lead the delivery of AI-powered agents in life sciences and healthcare, managing enterprise accounts, and advocating for customer needs with a focus on transformative AI solutions.

As a Lead Learning Engineer, you'll develop AI-powered educational solutions using learning science, collaborate with teams, and ensure products improve learning outcomes.