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Remote, London·Added 1 month ago (last checked 2 Nov)
Our summary
- Salary
- £400 - £500 a day
- Work mode
- Remote (London)
- Contract
- Contract role, outside IR35



Skills
Harnham is hiring for this role in several places. This vacancy is in London.
The role
- Build, deploy, and maintain machine learning models for a range of business use cases.
- Develop scalable AI solutions that support customer, marketing, supply chain, and commercial functions.
- Work closely with data scientists, data engineers, and business stakeholders to translate requirements into production-ready solutions.
- Implement MLOps best practices to support model deployment, monitoring, and performance optimisation.
- Evaluate and integrate emerging AI technologies, including generative AI and large language models where appropriate.
- Support the development of a robust machine learning infrastructure and technical roadmap.
AI/ML Engineer (Contract)
London
Fully Remote
Outside IR35
£400 - £500 Per Day
3 months long initially, may extended.
Your Skills & Experience
- Strong experience developing and deploying machine learning models in production environments.
- Excellent Python development skills and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Strong understanding of MLOps, CI/CD principles, and model lifecycle management.
- Experience building scalable data and AI solutions using modern engineering practices.
- Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
- Experience within a consumer goods, retail, e-commerce, or FMCG environment would be advantageous.
Hiring process
If you are interested in this AI/ML Engineer opportunity and would like to learn more, please apply with your updated CV.
About Harnham
- Industry
- Staffing and Recruiting
In their own words
About the company & team
They are a well-established consumer goods business with a strong international presence and a growing investment in AI and advanced analytics. Data and technology are central to their strategy, with multiple initiatives focused on automation, personalisation, and operational efficiency. You will work within a collaborative environment where innovation is encouraged and modern machine learning technologies are actively adopted.
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