Production ML Engineer | Python, MLOps & Cloud

Solution Performance Resourcing Limited; York and North Yorkshire; Hybrid; GBP 36,000 - 60,000; Full time

Benefits offered by this job

Flexible and hybrid working

Professional development and training

Health and wellbeing benefits

Generous annual leave

Employer pension contribution

Job summary

Solution Performance Resourcing Limited is seeking a Machine Learning Engineer in the United Kingdom to develop, deploy and maintain ML solutions in production. You will collaborate with Data Scientists, Data Engineers and Platform Engineers to support infrastructure, APIs and deployment pipelines that move models from development to live environments.

The role offers a foundation in Python development, cloud technologies and ML, with opportunities to grow in MLOps, automation and production

Qualifications

• A degree in Computer Science, Data Science, Mathematics, Engineering or another relevant discipline, or equivalent practical experience.
• Around 1–3 years’ experience in software engineering, machine learning engineering, data engineering or a related technical role.
• Good Python programming skills and an understanding of software development principles.
• A basic understanding of machine learning concepts and the process of deploying models into production.
• Some experience developing APIs, ideally using Flask, FastAPI or similar frameworks.
• Familiarity with Git, CI/CD pipelines and automated testing.
• Exposure to cloud platforms such as Azure, AWS or GCP.
• Familiarity with Docker and containerised applications.
• An understanding of infrastructure automation, ideally using Terraform or similar tools.
• An interest in monitoring, logging, model performance and production support.
• Strong problem-solving skills, a willingness to learn and the ability to work collaboratively.

Responsibilities

• Support the deployment and maintenance of machine learning models in batch and real-time environments.
• Develop and maintain Python APIs using frameworks such as Flask or FastAPI.
• Help build and improve CI/CD pipelines for model deployment.
• Contribute to automating model training, testing, deployment and monitoring processes.
• Assist with maintaining model registries, versioning and monitoring solutions.
• Support the development of reliable cloud-based machine learning services.
• Write clean, maintainable and well-tested Python code.
• Use Git and follow good software engineering practices, including code reviews and automated testing.
• Work with Terraform or similar tools to manage cloud infrastructure.
• Help monitor model performance, investigate issues and improve service reliability.
• Collaborate with Data Scientists and Data Engineers to productionise machine learning models.
• Contribute ideas for improving existing MLOps processes, tooling and ways of working.

Skills

Python

APIs

Git

CI/CD

Docker

Azure

AWS

GCP

MLOps

Problem-solving

Education

Bachelor's degree in Computer Science or related

Tools

Flask

FastAPI

Terraform

Job description

Solution Performance Resourcing Limited is seeking a Machine Learning Engineer in the United Kingdom to develop, deploy and maintain ML solutions in production. You will collaborate with Data Scientists, Data Engineers and Platform Engineers to support infrastructure, APIs and deployment pipelines that move models from development to live environments.

The role offers a foundation in Python development, cloud technologies and ML, with opportunities to grow in MLOps, automation and production