Top Machine Learning Jobs in London

A Software Engineer III who designs and delivers technology solutions, maintains algorithms and provides L3 support, focusing on software development and system architecture.

As a Software Engineer III, you will design and develop software solutions, troubleshoot issues, and enhance system architecture within J.P. Morgan's technology teams.

As a Principal MLOps Engineer, you'll develop tooling for AI/ML, maintain infrastructure, collaborate on ML model production, mentor a team, and define technical solutions.

As a Software Engineer III, you will design and deliver technology solutions, develop high-quality production code, and analyze data for improvements while working in an agile environment.

The Senior Machine Learning Engineer will lead model development, collaborate with stakeholders, manage engineers, and enhance machine learning strategies for clinical data extraction in cancer research.

As a Senior Machine Learning Engineer, you'll design and implement AI models to enhance product and customer experience, integrating solutions into the PIM system while collaborating with cross-functional teams.

As Vice President in the Applied AI/ML team, you'll lead a team, deliver AI/ML projects, mentor junior members, and drive AI innovation aligning with business goals.

This role involves leading data-driven transformation in Securities Services Operations, focusing on Instruction Capture, enhancing client satisfaction through automation and process improvements, and collaborating with various stakeholders to deliver effective data solutions.

Drive the growth of the data analytics capability, develop client proposals, manage business development, and mentor teams in analytics and AI.

The role involves leading the Data Practice at Capco, focusing on implementing data analytics strategies for financial services clients and mentoring data professionals.

Lead the application of advanced machine learning techniques in NLP, reinforcement learning, and recommendation systems, collaborating with teams to deploy solutions and drive firm-wide initiatives.

The ML Engineer will develop and maintain machine learning models, collaborate with teams to leverage data solutions, and implement state-of-the-art code for banking applications.

Join Veeva Systems as a DS/ML Engineer to develop scalable AI language services for life sciences. You will build and optimize language models, automate MLOps, and mentor other team members.

Lead and manage a machine learning engineering team focused on RNA therapeutics, overseeing project execution and promoting best practices in software development and data science.

The AIML Engineer will build and optimize machine learning models to enhance GSK's financial systems, requiring a master’s degree, advanced Python skills, and experience in AI/ML product shipping.

Lead a team of engineers to build core products, collaborate on roadmaps, ensure quality delivery, and foster team culture.

The Data Scientist Lead will innovate investment banking using AI, focusing on Recommender Systems, Time Series Forecasting, and Classification Systems. Responsibilities include leveraging AI for insights, developing machine learning solutions, and presenting findings clearly.