MLOps Engineer (UKIC DV Cleared)

55 Exec Search; Manchester; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A fast-growing AI/ML start-up in Manchester is seeking MLOps Engineers at Mid, Senior, and Lead levels. The role involves deploying ML models, building MLOps pipelines, and collaborating on impactful projects. Candidates must hold active UKIC DV clearance and have strong experience in MLOps.

Benefits

Strong work-life balance

Fun, inclusive environment

Excellent career progression

Bonus structure

Qualifications

• Active UKIC DV Clearance required.
• Strong experience in MLOps or ML Engineering.
• Proficiency in Python for production systems.

Responsibilities

• Deploy and manage machine learning models in production environments.
• Build and optimise scalable MLOps pipelines using modern tools.
• Collaborate on high-impact AI/ML projects.

Skills

MLOps

Machine Learning Engineering

Python

Cloud Platforms

DevOps

Tools

TensorFlow

PyTorch

Scikit-learn

Terraform

Docker

Kubernetes

Job description

Job Description

MLOps Engineers (Mid, Senior & Lead level) – UKIC DV Cleared | AI/ML Start-up | Manchester | Hybrid

Are you an MLOps Engineer with active UKIC DV clearance looking to make a real-world impact at the cutting edge of AI and machine learning?

We’re hiring Mid, Senior, and Lead MLOps Engineers for a fast-growing tech start-up at the forefront of delivering scalable, production-grade AI solutions across mission-critical domains. You’ll play a key role in designing and deploying robust ML infrastructure, supporting both public and private sector clients.

What You'll Do as an MLOps Engineer:

• Deploy and manage machine learning models in production environments
• Build and optimise scalable MLOps pipelines using modern tools and cloud platforms (AWS, Azure, GCP)
• Work with tools like Terraform, Docker, Kubernetes, and Python
• Contribute to agile ceremonies (sprint planning, retrospectives, code reviews)
• Collaborate on high-impact, real-world AI/ML projects that truly make a difference
• Contribute ideas in a relaxed, open, and innovation-driven culture

Location & Flexibility for the MLOps Engineer:

• Hybrid role based in Manchester
• Strong work-life balance and a genuinely fun, inclusive environment
• Excellent career progression, bonus structure

What We're Looking For

• Most importantly, you must hold an active UKIC DV Clearance
• Strong experience in MLOps or ML Engineering
• Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Strong proficiency in Python for production systems
• Proficient in Python and modern DevOps/MLOps tools
• Experience with cloud platforms and infrastructure as code