I.T. & Communications · United Kingdom

ML Engineer

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Job summary

CompanyHarnham - Data & Analytics Recruitment
Advertiser typeAgency
CategoryI.T. & Communications
Subcategory
CountryUnited Kingdom
LocationUnited Kingdom
LanguageEnglish - United Kingdom (en-GB)
Contact
Employment typePermanent
Work hoursNot Specified

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Job description


Machine Learning Engineer

London Outside IR35

£500-£600 per day


The Company

They are a well-established retail business investing heavily in their data and AI capabilities. Data plays a central role in shaping strategy across the organisation, with a strong focus on delivering measurable business outcomes through technology. You will join a collaborative team working on impactful machine learning projects within a modern cloud environment.


The Role and Deliverables

  • Design, build, and deploy machine learning models into production environments.
  • Develop scalable ML pipelines to support model training, testing, and monitoring.
  • Collaborate with Data Scientists and Data Engineers to operationalise machine learning solutions.
  • Optimise model performance, reliability, and scalability across retail use cases.
  • Support the development of MLOps processes and machine learning infrastructure.
  • Deliver production-ready solutions that provide measurable business impact.


Your Skills & Experience

  • Strong experience deploying machine learning models into production.
  • Advanced Python skills and experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • Experience building and maintaining MLOps pipelines and CI/CD workflows.
  • Strong knowledge of AWS, Azure, or GCP.
  • Experience with Docker and Kubernetes.
  • Strong SQL skills and experience working with large datasets.
  • Ability to communicate effectively with both technical and non-technical stakeholders.


How to Apply

If you are an experienced Machine Learning Engineer looking for a contract opportunity within a retail environment, please apply with your latest CV for further discussion.



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