Remote AI/ML Engineer — Production ML & MLOps

Harnham; Greater London; Remote; GBP 74,000 - 92,000; Full time

Job summary

Harnham in London is seeking an AI/ML Engineer (Contract) to build, deploy and maintain machine learning models across a range of business use cases.

This fully remote, Outside IR35 role is initially 3 months with potential extension, and a day rate of £400-£500.

You will collaborate with data scientists, data engineers and business stakeholders to translate requirements into production-ready solutions and contribute to MLOps, model monitoring and an evolving technical roadmap.

Qualifications

• Experience deploying ML models in production.
• Strong Python development skills.
• Experience with TensorFlow, PyTorch, or Scikit-learn.
• Experience with AWS, Azure, or GCP.
• Knowledge of MLOps, CI/CD, and model lifecycle management.
• Ability to communicate technical concepts to stakeholders.

Responsibilities

• Build, deploy, and maintain ML models for business use cases.
• Develop scalable AI solutions for customer, marketing, supply chain, and commercial functions.
• Collaborate with data scientists, data engineers, and business stakeholders to translate requirements into production-ready solutions.
• Implement MLOps practices to support deployment, monitoring and optimization.
• Evaluate and integrate emerging AI technologies, including generative AI and LLMs where appropriate.
• Support the development of ML infrastructure and technical roadmap.

Skills

ML model deployment

Python

TensorFlow

PyTorch

Scikit-learn

Cloud platforms

Tools

CI/CD

Job description

Harnham in London is seeking an AI/ML Engineer (Contract) to build, deploy and maintain machine learning models across a range of business use cases.

This fully remote, Outside IR35 role is initially 3 months with potential extension, and a day rate of £400-£500.

You will collaborate with data scientists, data engineers and business stakeholders to translate requirements into production-ready solutions and contribute to MLOps, model monitoring and an evolving technical roadmap.