> Markdown version of [/jobs/ext/1455132-staff-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/1455132-staff-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). --- # Staff Machine Learning Engineer - **Company:** Harnham - **Location:** London, UK (Remote available) - **Salary:** £100,000.0 - £120,000.0 - **Contract:** Permanent contract - **Skills:** Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Pytorch, Machine Learning Operations - **Published:** July 27, 2026 - **Apply:** https://www.reed.co.uk/jobs/staff-machine-learning-engineer/57163738 ## About the Role * Strong experience building and deploying machine learning systems at scale * Expertise with Python and modern ML frameworks such as PyTorch or TensorFlow * Experience with recommendation systems, LTV/churn modelling, attribution, or targeting models * Strong understanding of MLOps, model lifecycle management, and production environments * AdTech, programmatic advertising, DSP, or real-time bidding experience highly desirable Skills * CLV * AdTech * Predicitve Bidding ## Description * Define technical direction across machine learning and MLOps * Build and optimise recommendation, bidding, attribution, and audience targeting models * Lead model monitoring, automated retraining, experimentation, and production ML systems * Improve scalability, reliability, and real-time model performance * Partner with engineering and business leaders to align ML initiatives with commercial goals * Mentor senior engineers and drive technical best practice ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [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) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) ## 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) - [Find a Developer Job: 12 Best Job Sites For Developers](https://www.wearedevelopers.com/magazine/165-find-a-developer-job-12-best-job-sites-for-developers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)