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Senior Mlops & Platform Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Revoco Ltd
Full Time position
Listed on 2026-03-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Cloud Computing, Data Engineer
Salary/Wage Range or Industry Benchmark: 500 - 625 GBP Daily GBP 500.00 625.00 DAY
Job Description & How to Apply Below
Location: Greater London

Overview

London-based AI company building Real Time, production-grade AI systems for the financial sector. They re focused on practical applications of machine learning and LLMs, with products already in use by trading and investment teams.

Role

Role:
Senior MLOps & Platform Engineer

Rate: £500 - £625 per day

Duration: 6 months

Location:

London

The role

This is a hands-on engineering role focused on building, running, and scaling the systems behind live ML products. You ll work closely with ML engineers and software teams to ensure models move cleanly into production and run reliably at scale.

What you ll be doing
  • Building and maintaining infrastructure to support large-scale ML applications
  • Improving CI/CD, deployment, monitoring, and reliability of AI-driven systems
  • Troubleshooting complex issues across cloud and distributed environments
  • Managing and optimising databases and platform services used by ML products
  • Partnering with ML, product, and engineering teams to improve performance and scalability
What they re looking for
  • Strong background in software engineering, platform, or infrastructure roles
  • Experience working with cloud platforms and modern Dev Ops practices
  • Solid programming skills with a focus on clean, scalable code
  • Hands-on experience with databases in production environments
  • Exposure to MLOps, ML platforms, or AI-powered systems (not necessarily research-heavy)
  • Comfortable working in a collaborative, fast-moving engineering environment
What s on offer
  • Flexible hybrid working
  • High-impact role on live AI products used in financial markets
  • Opportunity to shape platform and MLOps practices in a growing AI company

If you re an MLOps or platform engineer interested in building real-world AI systems rather than experiments, feel free to get in touch for more detail.

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Position Requirements
10+ Years work experience
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