> Markdown version of [/jobs/ext/2260608-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2260608-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer

- **Company:** Diagonal recruitment
- **Location:** Greater London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Lifecycle Management, Microsoft Azure, Python (Programming Language), Machine Learning, Tensorflow, Standard Sql, Software Deployment, Reinforcement Learning, Cloud Platform System, Pytorch, Large Language Models, Git, Scikit Learn, Data Analytics, Machine Learning Operations
- **Published:** August 26, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815063148-machine-learning-engineer

## About the Role

* Experience with foundation models
 * Exposure to reinforcement learning
 * Knowledge of AI evaluation frameworks, * Comfortable balancing experimentation with operational requirements
 * Data-driven and analytical
 * Curious but pragmatic
 * Able to explain technical concepts to non-technical stakeholders

## Description

We work with organisations looking to build, optimise and operationalise machine learning capabilities that create measurable business value. The focus is on production deployment, performance and maintainability rather than experimentation alone.

Role Overview

 * Develop, train and optimise machine learning models
 * Evaluate model performance and improve accuracy
 * Build reusable machine learning pipelines
 * Support deployment and monitoring of models in production
 * Collaborate with engineering, product and data teams
 * Contribute to model governance and lifecycle management

Tools & Technologies (required0

 * Python
 * Scikit-learn
 * PyTorch and/or TensorFlow
 * MLflow or equivalent
 * SQL
 * Git
 * Cloud environments including AWS, Azure or GCP

Highly preferred

 * Experience with foundation models
 * Exposure to reinforcement learning
 * Knowledge of AI evaluation frameworks

About You

 * Comfortable balancing experimentation with operational requirements
 * Data-driven and analytical
 * Curious but pragmatic
 * Able to explain technical concepts to non-technical stakeholders

Additional Information & Benefits

 * Permanent, contract and advisory engagements
 * Ideal for practitioners who have deployed models into production environments


## Related Videos

- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [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)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [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)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)