Top Machine Learning Jobs in London

As a Senior Manager of Engineering, you will lead software development teams, oversee project execution, drive strategy for Microsoft Dynamics 365 solutions, enhance development practices, and promote team growth and innovation.

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

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

The role involves scaling financial document enrichment, enhancing AWS infrastructure, managing ML/NLP model integration, and mentoring team members at FactSet.

As a Senior Research Data Scientist, you will translate complex business problems into data science problems using AI algorithms, working with statistical methodologies and machine learning techniques to develop scalable solutions.

As Product Counsel, you will provide legal guidance on product launches, privacy, and regulatory matters within Google DeepMind, focusing on compliance and risk management.

Lead a team of Applied Field Engineers to secure technical wins and enhance customer deployments, focusing on performance and cost-efficiency while collaborating with sales and product teams for strategic growth in EMEA.

The Junior Software Engineer will collaborate with research teams to develop neurosymbolic AI solutions, gaining skills in full software engineering lifecycle and AI techniques.

As an Entry-Level Software Engineer, you'll work with research engineers on neurosymbolic solutions, developing skills in software engineering and AI, while receiving mentoring support.

Lead technical engagements at a large Oil & Gas customer, developing strategies, coaching teams, and delivering tailored data solutions using Databricks.

Seeking a Senior Product Engineer to build secure systems for healthcare, integrate AI, and enhance patient care navigation. Responsibilities include delivering high-quality code, managing technical debt, and collaborating with product teams.

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.

The CRM Analytics Manager will drive data-driven strategies for CRM targeting and optimization, utilizing analytics and machine learning to enhance customer engagement and retention.

Lead a squad of engineers to build core products, drive delivery of features, mentor team members, and foster innovation and collaboration.

The role involves managing the pre-sales process by conducting technical validations, collaborating with sales and customer success teams, and creating necessary documentation while ensuring customer satisfaction and smooth handover.

Lead the Product and Design function, shaping strategic vision, mentoring teams, and partnering with clients to deliver impactful AI solutions.

The Lead AI & ML Engineer will lead the AI & ML Engineering team, managing solutions from ideation to deployment, mentoring team members, and ensuring robust, scalable AI/ML delivery across Charlotte Tilbury.

The CRM Analytics Manager will lead CRM analysis, develop dashboards, translate data into insights, and ensure measurement quality. They will also promote experimental culture and collaborate with various teams.

The Senior Machine Learning Engineer will work on innovative R&D projects, collaborate across teams, and mentor others while focusing on advanced speech technology.

The Director of Technical Recruiting will lead the recruitment of top technical talent, aligning with business goals and building a high-performing talent acquisition team for AI and engineering roles.

Join Isomorphic Labs as a Senior Research Scientist in In-vitro/Cellular Pharmacology, focusing on peptide-based drug discovery and collaborating with cross-functional teams to drive projects toward clinical application.

As a Machine Learning Specialist, you'll develop scalable models for predictive analytics, optimize portfolios, and enhance the intelligence of financial products, utilizing advanced data techniques and cloud deployment.

Lead the technical direction and delivery of innovative AI projects, design ML systems, engage with customers, and mentor team members.

The role involves managing strategic enterprise relationships, executing multi-threaded sales cycles, showcasing AI capabilities, and fostering growth across large organizations.

As a Forward-Deployed Product Manager, you will collaborate with clients to solve silicon design issues, execute tailored deployment plans, and integrate AI systems into production workflows.