Senior MLOps Engineer — Equity + Growth in AI Deployments

Job Description

Senior MLOps Engineer – AI ConsultancynManchester | £65k–£80k + Equity + Benefitsn

We’re hiring a Senior MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). You’ll take ownership of production ML systems and help shape how models are deployed, scaled, and maintained for clients.

nWhat you’ll be doingn

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• Leading deployment and scaling of ML systems for client projects

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• Working closely with Data Scientists and ML Engineers in a collaborative, pair-programming environment

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• Owning features end-to-end, from design through to production support

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• Participating in sprint planning and architectural decision-making

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• Improving best practices around experiment tracking, model versioning, and monitoring

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nWhat we’re looking forn

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• 3+ years’ experience in Data Science, Machine Learning, Data Engineering, or Software Engineering roles

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• Strong production Python experience

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• Hands‑on experience training and serving ML models

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• Familiarity with PyTorch, TensorFlow, or scikit‑learn

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• Strong working knowledge of Docker, Linux, Git, and cloud platforms (AWS, Azure, or similar)

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• Experience deploying systems you’ve helped design

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• Excellent communication skills

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• Eligible for SC clearance

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nNice to haven

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• Practical MLOps experience in live environments

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• Kubernetes and IaC

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• Experience with LLM or agent‑based systems

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• Open source contributions or technical writing

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nPerksn

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• £65k–£80k salary

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• EMI share scheme

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• Personal L&D budget

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• 25 days holiday (rising to 30)

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• Pension

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