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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** SPG Resourcing - **Location:** Bolton, UK - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Computing Platforms, JIRA, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Dataspaces, Python (Programming Language), Machine Learning, Software Construction, Software Engineering, Large Language Models, Generative AI, Git, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Virtual Agents, Software Version Control, Docker, Databricks - **Published:** September 15, 2026 - **Apply:** https://www.collegerecruiter.com/job/2879220443-machine-learning-engineer ## About the Role * Commercial experience in Machine Learning Engineering or Data Science within a production environment * Strong Python development skills with a solid understanding of software engineering best practices * Experience deploying machine learning solutions into cloud-native production environments * Experience with containerisation technologies such as Docker and orchestration platforms including Kubernetes * Knowledge of modern MLOps practices including CI/CD, version control (Git) and infrastructure automation * Experience working with cloud platforms and modern data ecosystems (Azure and Databricks experience beneficial) * Strong understanding of machine learning principles and model deployment processes * Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders * Experience working with Agile delivery methodologies and tools such as Azure DevOps and Jira Desirable experience * Experience working with Large Language Models (LLMs), Generative AI or Agentic AI solutions in a commercial environment * Experience deploying machine learning models within regulated industries such as financial services or insurance * Exposure to enterprise-scale MLOps and cloud infrastructure * Experience contributing to platform architecture and engineering best practices ## Description Working as part of a cross-functional Data Science team, the Machine Learning Engineer will play a key role in taking machine learning models from research through to production. You'll work closely with Data Scientists, Data Engineers and Software Engineers to build robust, scalable ML solutions while helping define best practices, tooling and automation across the full machine learning lifecycle. This role is ideal for someone with a passion for software engineering, cloud technologies and productionising machine learning solutions within an enterprise environment., * Design, develop and enhance the organisation's machine learning engineering capability and Data Science platform * Build and automate end-to-end machine learning workflows using CI/CD and Infrastructure as Code * Collaborate with Data Scientists throughout the model development and deployment lifecycle * Work closely with engineering teams and business stakeholders to deliver production-ready AI solutions * Develop high-quality, maintainable Python code following software engineering best practices * Contribute to technical design decisions including model deployment strategies and solution architecture * Support the deployment and operationalisation of both traditional machine learning and Generative AI solutions * Help establish engineering standards, tooling and best practices as the function continues to grow ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? 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