Senior Machine Learning Engineer - Production AI & MLOps

Manchester Digital

Manchester

On-site

GBP 90,000 - 120,000

Full time

18 hours ago
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Job summary

Manchester Digital is seeking a Senior Machine Learning Engineer to lead the ML engineering capability, turning data science opportunities into secure, production-grade services. You will collaborate with data scientists, software engineers and product teams to translate complex challenges into scalable ML solutions.

You will own the full ML lifecycle, establish engineering standards, drive MLOps adoption, ensure reliability and security, and coach teams to grow the organisation's ML capability.

Qualifications

  • Experience leading end-to-end ML lifecycle in production environments.
  • Strong Python skills to design and develop scalable ML solutions.
  • Proficient in MLOps, CI/CD, and automated testing.
  • Ability to guide architecture, engineering practices and risk.
  • Experience influencing across multidisciplinary teams and stakeholders.
  • Commitment to responsible AI and data ethics.

Responsibilities

  • Lead design, development and deployment of ML solutions.
  • Provide technical leadership across the ML lifecycle.
  • Set engineering standards for ML development.
  • Advise on CI/CD, testing and monitoring.
  • Collaborate with data scientists, engineers and product managers.
  • Promote responsible AI and secure ML practices.
  • Foster learning and reusable engineering patterns.

Skills

ML lifecycle
Python
MLOps
CI/CD
Technical leadership
Cross-functional collaboration

Tools

Docker
Kubernetes
Cloud platforms

Job description

Manchester Digital is seeking a Senior Machine Learning Engineer to lead the ML engineering capability, turning data science opportunities into secure, production-grade services. You will collaborate with data scientists, software engineers and product teams to translate complex challenges into scalable ML solutions.

You will own the full ML lifecycle, establish engineering standards, drive MLOps adoption, ensure reliability and security, and coach teams to grow the organisation's ML capability.

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