Senior MLOps & Platform Engineer

Location
Greater London, London
Salary
500 - 625 GBP Per Day
Contract type
Contract
Published at
4th February, 2026
Job ref
1373
Niall Okakpu

Niall Okakpu

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Senior MLOps & Platform Engineer

I’m working with a 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.

They’re now looking to add a Senior MLOps & Platform Engineer to take ownership of the infrastructure and platform layer that supports their machine learning workloads.

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 DevOps 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.

Senior MLOps & Platform Engineer

Apply today