About this role
Salary: £62,000 - 102,000 per year
Requirements: Experience in machine learning engineering rolesDegree in a quantitative discipline such as Computer Science, Mathematics, or StatisticsProven ability to develop and deploy business-critical, data-intensive applicationsExtensive experience with AWS and KubernetesProficiency with lower-level libraries such as PyTorch and NumPyHands-on experience implementing distributed, multi-threaded, and scalable applicationsExperience with automated building, testing, and deployment pipelinesFamiliarity with higher-level interfaces such as Pydantic AI and LangGraphStrong understanding of computer science fundamentals and development best practicesBroad knowledge of MLOps tooling for versioning, reproducibility, and observabilityAbility to understand business objectives and align ML problem definitionsExperience mentoring or leading teamsKnowledge of agentic AI conceptsExperience designing reusable libraries and servicesInterest in bridging scientific theory and enterprise-grade systemsPassion for innovation and continuous learning Responsibilities: Design and deliver enterprise-grade machine learning systemsCollaborate with cloud and SRE teams to build robust production architecturesTranslate scientific research into scalable ML solutionsDevelop and deploy business-critical, data-intensive applicationsImplement distributed, multi-threaded, and scalable applicationsBuild, test, and deploy automated pipelines for ML solutionsLeverage foundational libraries and services for re-use across teamsApply best practices in software engineering and computer scienceUtilize MLOps tools for versioning, reproducibility, and observabilityAlign ML problem definitions with business objectivesMentor and support team members, with optional management responsibilities Technologies: Agentic AIAIAWSCloudSupportKubernetesMachine LearningMLOpsPyTorchnumpySecurity More:
We are a global leader in financial services and our Commercial & Investment Bank serves corporations, governments, and institutions in more than 100 countries. We are building an AI platform and desktop application to automate document processing workflows at the worlds largest bank, with systems already operating at hundreds of documents per second and scaling rapidly. You will join our Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, working at the intersection of software engineering and scientific research. We offer career growth, mentorship, flexibility for individual contributors with optional management responsibilities, and the opportunity to help shape our team culture while driving impactful change. We are committed to diversity, inclusion, and equal opportunity across our global workforce.
last updated 36 week of 2026