Machine Learning Engineer

iO Associates; Manchester; Remote; GBP 125,000 - 150,000; Full time

Job summary

An innovative technology consultancy is looking for a Contract Machine Learning Engineer to join their remote team. This role offers the chance to work on impactful machine learning projects, from initial development to deployment. The ideal candidate will have a strong background in Python and experience with modern ML frameworks. You will collaborate with a talented team to build and maintain robust ML pipelines while implementing best practices in MLOps. If you thrive in a remote environment and are passionate about delivering real-world solutions at scale, this opportunity is perfect 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.
• Collaborate with data scientists and engineers to deliver end-to-end solutions.

Skills

Machine Learning

Python

MLOps

Cloud Environments (AWS/Azure)

Effective Communication

Tools

PyTorch

TensorFlow

AWS

Azure ML

Docker

Kubernetes

Airflow

GitHub Actions

Jenkins

MLflow

Job description

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
• AWS (including SageMaker, S3, Lambda) or Azure ML
• Docker, Kubernetes, Airflow
• 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

Desirable:

• 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.