Senior MLOps & Platform Engineer
Posted Today by 1770822579
£625 Per day
Undetermined
Hybrid
London
Summary: The Senior MLOps & Platform Engineer role at a London-based AI company involves taking ownership of the infrastructure and platform layer that supports machine learning workloads. The position focuses on building, running, and scaling systems for live AI products in the financial sector. The engineer will collaborate closely with ML engineers and software teams to ensure reliable production deployment. This hands-on role offers the opportunity to shape MLOps practices in a growing AI company.
Key Responsibilities:
- 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
Key Skills:
- 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
Salary (Rate): £625 per day
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
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