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ML Engineer in London

Hybrid in London·Added 2 months ago (last checked 2 Nov)

Agency
Harnham

211 open roles

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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