Machine Learning Platform Engineer

1 week ago


London Area, United Kingdom Bonhill Partners Full time

Bonhill Partners are supporting a leading Systematic Trading firm in London as they grow their AI/ML Solutions division. The organisation is seeking a Machine Learning Platform Engineer to build and scale the next generation of MLOps and ML engineering capabilities across the business. This is a greenfield role, offering significant influence over tooling, standards, and best practices.The position blends hands-on engineering with enablement: you will design and deploy automation pipelines, enhance ML development environments, and upskill internal teams on modern software and MLOps practices.Key ResponsibilitiesDesign, deploy, and refine automation and CI/CD workflows to support machine learning and data pipelinesBuild scalable MLOps frameworks and champion best practices across DataOps, ModelOps, and ML lifecycle managementEducate and mentor Researchers and Developers on clean code, software architecture, and reproducible ML practicesDeliver training on consistent development environments, modern tooling, and AI-assisted engineering workflowsSupport internal events such as hackathons, coding challenges, and engineering workshopsMaintain and contribute to internal training repositories, documentation, and shared platform componentsCollaborate with cross-functional engineering and data teams to expand platform capabilities and improve reliabilityEngineer cloud-based solutions leveraging containerisation and infrastructure-as-code to support scalable ML systemsSkills & ExperienceStrong programming background in Python (and/or C++)Proven experience with CI/CD systems, Git workflows, and infrastructure-as-code toolingHands-on expertise with Azure Databricks and cloud-native technologies (Docker, Kubernetes, Terraform)Solid understanding of MLOps concepts and tooling (MLflow, Airflow etc.); exposure to LLMOps is advantageousExperience working with Generative AI / LLMs, and familiarity with AI engineering agents (e.g., Cursor, Claude Code, Codex)Strong SQL capability and proven experience delivering robust ML engineering solutionsExcellent communication skills with a collaborative mindset focused on enabling and uplifting technical teamsAn interest in teaching, improving engineering standards, and contributing to a strong internal engineering cultureFinancial services or trading environment experience is beneficial but not essentialWe look forward to hearing from you



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