CareerAddict

ML Ops/ML Engineer

Posted on Jun 11, 2026 by eTeam Workforce Limited
Portsmouth, Hampshire, United Kingdom
IT
Immediate Start
£537 - £537 Daily
Contract/Project - Remote

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you

Job title: ML Ops/ML Engineer
Location: Portsmouth 2 days every other week on-site, plus remote working
Contract duration: 01/09/2026
Pay Rate: £537 per day all inc. (PAYE through Umbrella)
Clearance required: SC

Job Description

  • Developing our MLOps capability across multiple use cases.
  • GitLab CI/CD (yaml)
  • Containerised Solutions (Docker/Kubernetes)
  • DevSecOps (continuous integration, automation, security scanning)
  • Scripting: Bash/Linux/Python
  • Understanding/ability to work in air gapped environments
  • Understanding ML concepts and tools (MLFlow, Airflow)
  • Cloud skills (AWS + Google)

Skills:

  • Docker
  • ML Ops
  • AWS
  • Python
  • Bash
  • Kubernetes
  • Docker
  • Containerization

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.


Reference: 3121146076

https://jobs.careeraddict.com/post/113395750

ML Ops/ML Engineer

Posted on Jun 11, 2026 by eTeam Workforce Limited

Print
Portsmouth, Hampshire, United Kingdom
IT
Immediate Start
£537 - £537 Daily
Contract/Project - Remote

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you

Job title: ML Ops/ML Engineer
Location: Portsmouth 2 days every other week on-site, plus remote working
Contract duration: 01/09/2026
Pay Rate: £537 per day all inc. (PAYE through Umbrella)
Clearance required: SC

Job Description

  • Developing our MLOps capability across multiple use cases.
  • GitLab CI/CD (yaml)
  • Containerised Solutions (Docker/Kubernetes)
  • DevSecOps (continuous integration, automation, security scanning)
  • Scripting: Bash/Linux/Python
  • Understanding/ability to work in air gapped environments
  • Understanding ML concepts and tools (MLFlow, Airflow)
  • Cloud skills (AWS + Google)

Skills:

  • Docker
  • ML Ops
  • AWS
  • Python
  • Bash
  • Kubernetes
  • Docker
  • Containerization

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.

Print

Reference: 3121146076

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