MLOps Engineer (UKIC DV Cleared)

JR United Kingdom; Manchester; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

Join a dynamic AI/ML start-up as an MLOps Engineer in Manchester, where you'll leverage your UKIC DV clearance to design and deploy robust ML infrastructure. This hybrid role offers a strong work-life balance, a fun and inclusive environment, and the chance to work on high-impact projects that make a real-world difference. Collaborate with talented professionals in an innovation-driven culture and enjoy excellent career progression opportunities. If you're passionate about AI and MLOps, this is the perfect place for you to thrive.

Benefits

Career progression

Bonus structure

Work-life balance

Inclusive environment

Qualifications

• Active UKIC DV Clearance is mandatory.
• Strong experience in MLOps or ML Engineering is required.

Responsibilities

• Deploy and manage machine learning models in production environments.
• Build and optimise scalable MLOps pipelines using modern tools.

Skills

MLOps

Machine Learning Engineering

Python

Cloud Platforms (AWS, Azure, GCP)

Terraform

Docker

Kubernetes

TensorFlow

PyTorch

Scikit-learn

Tools

AWS

Azure

GCP

Terraform

Docker

Kubernetes

Job description

Social network you want to login/join with:

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Client:

Location:

Manchester, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

05.05.2025

Expiry Date:

19.06.2025

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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