> Markdown version of [/jobs/ext/1286702-machine-learning-engineer-ml-and-computer-vision](https://www.wearedevelopers.com/jobs/ext/1286702-machine-learning-engineer-ml-and-computer-vision). 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 (ML and Computer Vision) - **Company:** Matchtech - **Location:** UK - **Contract:** Permanent contract - **Skills:** Computer Vision, Code Review, Python (Programming Language), Machine Learning, OpenCV, Pytorch, Deep Learning, Information Technology, ONNX (Open Neural Network Exchange) Format, Free and Open-Source Software, Machine Learning Operations, TensorRT, Software Version Control, Data Pipelines - **Published:** July 16, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2876392757-2 ## About the Role * Degree in Computer Science, Electrical Engineering, Robotics (or similar), or equivalent commercial experience * Proven experience delivering deep learning solutions for core CV tasks (classification / detection / segmentation / tracking) * Strong skills with PyTorch (or similar) and CV libraries such as OpenCV / scikit-image * Strong, production-ready Python engineering (version control, testing, code reviews) * Analytical mindset with strong problem-solving ability * Clear communicator who works well in a collaborative team Nice to Have * Experience with real-world sensor data (e.g., RGB-D, thermal, radar) * Model optimisation/deployment tooling (ONNX, TensorRT) * Edge deployment experience (e.g., NVIDIA Jetson or other resource-constrained devices) * Familiarity with MLOps tooling (e.g., DVC, MLflow) * Relevant open-source contributions in computer vision ## Description We're looking for a Machine Learning / Computer Vision Engineer to help tackle challenging real-world problems using modern deep learning. You'll work closely with a multidisciplinary team to develop, productionise, and deploy computer vision models that run reliably across cloud and edge environments. What You'll Be Doing * Build, test, and improve production-grade deep learning models for computer vision tasks (classification, detection, segmentation, tracking) * Optimise and deploy CV/ML pipelines to cloud and edge platforms * Design, curate, and manage image/video datasets for training and evaluation * Develop and maintain annotation workflows and tooling * Create synthetic data pipelines (including generative approaches) to augment real-world datasets * Stay current with emerging tools, methods, and best practices in CV/ML ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Machine Learning in ML.NET](https://www.wearedevelopers.com/videos/272-machine-learning-in-ml-net) - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [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) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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 machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)