Senior MLOps & Platform Engineer

Revoco Ltd
London
11 hours ago
Create job alert

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

...

Related Jobs

View all jobs

Senior MLOps & Platform Engineer

Senior MLOps & Platform Engineer

Senior MLOps Platform Engineer — Cloud & Kubernetes

Senior MLOps Engineer

Senior AI MLOps Platform Engineer - Scale Resilient Cloud

Senior MLOps Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.