Machine Learning Engineer

TN United Kingdom; Manchester; Remote; GBP 125,000 - 150,000; Full time

Job summary

An established industry player is seeking a Contract Machine Learning Engineer to join their innovative team on a fully remote basis. This role offers the chance to work on impactful machine learning projects from initial development to deployment. Ideal candidates will have a strong background in Python and proven experience in deploying machine learning models to production. You'll collaborate with a diverse team, contributing to architectural discussions and promoting best practices in engineering. If you're passionate about delivering real-world machine learning solutions, this is the perfect opportunity for you.

Qualifications

• Proven track record of deploying machine learning models to production.
• Strong programming skills in Python and familiarity with modern ML frameworks.

Responsibilities

• Develop and deploy scalable machine learning models into production environments.
• Build and maintain robust ML pipelines using modern cloud and MLOps tooling.

Skills

Machine Learning

Python

MLOps

Cloud Environments (AWS)

Communication Skills

Tools

PyTorch

TensorFlow

GitHub Actions

Jenkins

MLflow

Job description

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Contract Machine Learning Engineer - Remote (UK-Based) - £550-£700/day (Outside IR35)
Location: Remote (UK-based candidates only)
Contract Length: 6 months, with strong potential for extension
Day Rate: £550-£700 per day (Outside IR35)
Start Date: ASAP or within 4 weeks
A leading technology consultancy is seeking an experienced Contract Machine Learning Engineer to support a consultancy who are working on a Data Science proof of concept. This role is fully remote (within the UK) and offers the opportunity to work on impactful machine learning projects from initial development through to deployment.
Responsibilities:

• Develop and deploy scalable machine learning models into production environments
• Build and maintain robust ML pipelines using modern cloud and MLOps tooling
• Collaborate with data scientists, engineers, and stakeholders to deliver end-to-end solutions
• Implement testing, monitoring, and performance optimisation of ML systems
• Contribute to architectural discussions and promote engineering best practices

Technical Environment:

• Python, PyTorch or TensorFlow
• CI/CD tools (e.g. GitHub Actions, Jenkins)
• MLflow or similar frameworks

Required Experience:

• Proven track record of deploying machine learning models to production
• Strong programming skills in Python and familiarity with modern ML frameworks
• Experience working in cloud environments (preferably AWS)
• Understanding of MLOps practices and tooling
• Effective communication and ability to work independently in a remote team
• Experience with LLMs or generative AI technologies
• Previous consultancy or client-facing project experience

This is an ideal opportunity for a contractor who thrives in a remote environment and is looking to deliver real-world machine learning solutions at scale.

To apply, please submit your CV or get in touch for more information.