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Hybrid in London·Added 2 months ago (last checked 2 Nov)
Our summary
- Salary
- £500 - £600 a day
- Work mode
- Hybrid, London
- Contract
- Contract role, outside IR35



Skills
Nice to have
Harnham is hiring for this role in several places. This vacancy is in London.
The role
Machine Learning Engineer
London | £500-600 Outside IR35 | 3 month initial contract | Hybrid 2-3
This is an exciting opportunity to join a fast-growing tech firm at a pivotal stage of its journey. You'll play a key role in shaping and delivering machine learning solutions that directly influence product development and business growth. The environment is fast-paced, collaborative, and ideal for someone who enjoys building and deploying impactful AI solutions from the ground up.
The Company
They are an ambitious technology startup experiencing significant growth and investment. With a strong focus on innovation, they are leveraging machine learning to solve complex business challenges and create scalable products. Their leadership team combines deep technical expertise with a clear commercial vision, creating an environment where engineers can make a tangible impact. This contract engagement offers the chance to work on meaningful projects within a highly collaborative team.
The Role and Deliverables
What you'll do
- Design, build, and deploy machine learning models that support key product and business objectives.
- Develop and maintain scalable ML pipelines and production-ready systems.
- Collaborate closely with software engineers, data professionals, and product stakeholders.
- Optimise model performance, reliability, and monitoring processes.
- Contribute to the implementation of best practices across MLOps and machine learning engineering.
- Deliver robust, well-documented solutions within an agile development environment.
Your Skills & Experience
- Strong experience building and deploying machine learning models in production environments.
- Proficiency in Python and the modern machine learning ecosystem.
- Experience developing scalable data pipelines and ML workflows.
- Strong understanding of cloud platforms such as AWS, Azure, or GCP.
- Experience with containerisation and deployment technologies, such as Docker and Kubernetes.
- Ability to balance technical excellence with commercial priorities in a fast-moving environment.
- Strong communication skills and experience collaborating with cross-functional teams.
- Comfortable working independently and delivering outcomes within a contract engagement.
Hiring process
How to Apply
If you're a Machine Learning Engineer looking for a high-impact contract opportunity with a rapidly growing startup, apply today to learn more about the project and team.
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