Top Machine Learning Jobs in London

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.

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.

As a Senior Internal Auditor, you will assess risks, evaluate controls, execute audits, and report findings, ensuring governance in AI/ML.

Manage a team of AI engineers to design, implement, and assess large-scale AI/ML pipelines, focusing on model training, evaluation, and data engineering.

The Sr Lead Architect will enhance data architecture, support technology governance, and guide technical teams while leveraging cloud-based solutions.

The role involves applying advanced machine learning methods, particularly in NLP and deep learning, to solve complex business challenges. Responsibilities include collaboration with teams, developing models, and driving firm-wide initiatives.

As a Lead Software Engineer, you'll design and maintain applications using Python and SQL, build data pipelines, analyze datasets, and architect AWS solutions to enhance cybersecurity.

The Reserve Engineer provides customer service and maintains robotic hardware, addressing failures and assisting with deployments and field projects.

The Applied AI Research Scientist develops ML models/techniques, leads research projects, reviews literature, and explores data sources to enhance AI applications in architecture and engineering.

The Data Engineer will design, develop, and maintain AI product infrastructure, collaborating with data scientists and improving CI/CD pipelines for production deployment.

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 a Cloud Platform Engineer, you'll lead software development, enhance cloud solutions, and work collaboratively with teams to solve complex problems. You'll coach engineers, optimize operations, and implement scalable architectures in a fast-paced environment.

Join a pioneering company as a Machine Learning Engineer, contributing to drug discovery innovations. Collaborate across teams to shape ML products, ensuring high engineering standards and impactful solutions.

The role involves developing cloud solutions, leading technical teams, migrating applications to the cloud, and optimizing cloud services using modern practices.