Senior MLOps Engineer

A fast-growing AI & Machine Learning consultancy is looking to hire multiple MLOps Engineers as they scale their technical team following continued growth across major public sector and enterprise projects.

This is an opportunity to join a highly technical engineering environment focused on building real-world production ML applications, not proof-of-concepts or internal experimentation.

You’ll work alongside a team of experienced ML Engineers, Software Engineers and Technical Leads delivering scalable AI systems for customers operating in complex, high-impact environments.

• Building and deploying production‑grade ML systems
• Working across cloud infrastructure, automation and model serving
• Designing scalable MLOps pipelines and infrastructure
• Collaborating closely with engineers, data scientists and clients
• Contributing to architecture decisions and engineering best practices
• Supporting the deployment and monitoring of ML applications in production

• Python
• FastAPI
• Infrastructure as Code
• ML frameworks such as PyTorch / Tensor Flow

• Experience deploying ML models into production
• Cloud and containerisation experience
• Someone who enjoys solving complex technical problems collaboratively
• Consultancy mindset / comfortable working across multiple projects

• Experience in MLOps or ML platforms
• Experience in consultancy environments
• Exposure to public sector or regulated environments
• Strong academic background (Master's / PhD beneficial)

• High‑performing, deeply technical engineering culture
• Opportunity to work on genuinely impactful AI projects
• Clear progression opportunities as the company scales
• EMI share scheme with strong long‑term upside
• Hybrid working (Manchester office)
• Collaborative, low‑ego team environment

If you’re interested in hearing more, apply directly or reach out for a confidential conversation.