ML Ops Engineer
3 days ago
We’re looking for an experienced ML Ops engineer to join a newly formed team in a leading quant firm, responsible for ML Operations across a next-generation research platform. This is a high-impact, greenfield role where you’ll help design and build the future of ML infrastructure—from how data is shared, to how models are trained, deployed, and supported in production. ML is central to the firm’s trading strategies, and the platform you help shape will directly empower researchers and drive real business outcomes. Expect high autonomy and deep technical challenges—off-the-shelf tools won’t cut it, so you’ll often build bespoke solutions to handle complex interdependencies in ML workflows. The Role As part of the ML Workflows team, you’ll take ownership of building a mature, scalable ML research and deployment pipeline. You’ll work across the full ML lifecycle, including: Ingesting and managing new datasets Building tools for distributed training and inference Creating robust deployment and production support systems You’ll leverage your ML Ops experience to assess the current landscape, identify gaps, and lead the technical direction of the new platform Projects you’ll work on include: Implementing best-practice feature and model stores Proper versioning of features, data, and models Improving inference compute utilisation through smarter serving Building CI/CD pipelines for ML workflows Solving complex job orchestration for model training Developing tooling for robust validation, monitoring, and recovery in production We’re looking for engineers who thrive on complex, open-ended challenges and want to set new standards for ML infrastructure. You should have: Significant experience in ML Ops Strong coding skills in Python A deep understanding of ML lifecycle pain points and practical solutions Experience building systems for scaling training, versioning, and deployment Bonus points for experience with distributed compute, data engineering, and orchestration frameworks (e.g. Airflow, Ray, KubeFlow). Why join? Top-tier quant finance firm with huge tech investment Competitive base salary + 50–100%+ annual bonus 25 days holiday, monthly WFH allowance, and £20/day lunch budget Brand new, world-class offices in central London Surrounded by some of the sharpest minds in engineering and research If you're ready to have real influence, work on greenfield infrastructure, and shape the ML future in a top business —we’d love to hear from you. #J-18808-Ljbffr
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ML Ops Engineer
1 week ago
London, Greater London, United Kingdom Vertexsearch Full time £100,000 - £120,000 per yearJob DescriptionWe're looking for an experienced ML Ops engineer to join a newly formed team in a leading quant firm, responsible for ML Operations across a next-generation research platform.This is a high-impact, greenfield role where you'll help design and build the future of ML infrastructure—from how data is shared, to how models are trained, deployed,...
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ML Ops Engineer
3 days ago
London, United Kingdom Vertexsearch Full timeJob DescriptionWere looking for an experienced ML Ops engineer to join a newly formed team in a leading quant firm responsible for ML Operations across a next-generation research platform.This is a high-impact greenfield role where youll help design and build the future of ML infrastructurefrom how data is shared to how models are trained deployed and...
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Senior Ml Ops Engineer
2 weeks ago
London, United Kingdom Harnham Full time**Senior Machine Learning Ops Engineer** **FinTech** **£85,000 - £95,000** This is an exciting opportunity for an ML Ops expert to join a tech-driven finance company! **THE COMPANY** This very successful FinTech company are continuing to grow their Data presence by hiring an ML Ops Engineer to sit between their Data Science & Data Engineering team....
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Greater London, United Kingdom Trades Workforce Solutions Full timeA leading quant firm in London is seeking an experienced ML Ops engineer to join a newly formed team. In this high-impact, greenfield role, you'll help design and build the future of ML infrastructure, directly influencing trading strategies. Responsibilities include managing datasets, developing CI/CD pipelines, and improving model deployment. Benefits...
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Lead ML Ops
2 weeks ago
London, Greater London, United Kingdom 0acea964-9b87-40f5-8910-406d37d5f3be Full time £60,000 - £120,000 per yearOur PurposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships...
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Lead ML Ops
1 week ago
City Of London, United Kingdom Mastercard Full timeJoin to apply for the Lead ML Ops & Data Engineer role at Mastercard Lead ML Ops & Data Engineer – Security Solutions Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital...
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ML Ops Engineering Lead
8 hours ago
Greater London, United Kingdom Canadian Imperial Bank of Commerce Full timeJob Purpose CIBC Global Markets Technology develops a diverse range of software and platforms to support CIBCs trading activities. These include systems for managing the risk of the derivatives book leveraging data science and machine learning and the development of front-end systems used by the business. We have made a substantial investment in building a...
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Senior ML Platform
5 days ago
Greater London, United Kingdom Preply Full timeA leading educational technology company in London is seeking a Senior ML Platform/Ops Engineer to enhance their AI-powered learning platform. This role involves building and maintaining ML pipelines, ensuring high reliability and performance of machine learning systems. The ideal candidate will have over 5 years of experience in ML systems design and...
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Data/ML Ops Engineer
3 weeks ago
London, United Kingdom DXC Technology Full timeJob DescriptionLocation:Newcastle, England or Erskine, Scotland Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? Were looking for a talented OPS Engineer...
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Senior ML Platform
3 days ago
Greater London, United Kingdom ASOS Full timeA leading online fashion retailer is seeking a Senior Machine Learning Engineer to develop reusable ML templates and ensure efficient ML operations across the organization. You will collaborate with cross-functional teams, enabling best practices and standardised workflows while promoting CI/CD principles. Ideal candidates will have extensive experience in...
