Machine Learning Engineer (ML and Computer Vision)

Machine Learning Engineer (Computer Vision)

Location: Bristol (hybrid)

Type: Permanent (full-time)
Team: AI / Computer Vision
Visa: Unfortunately, visa sponsorship is not available for this role.

About the Company

A UK-based technology business building AI-led vision systems that turn image and video streams into automated, real-time insight. Our products are used in operational environments where speed, reliability, and accurate detection matter-helping teams monitor large areas and respond quickly when something changes.

The Role

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

What We're Looking For

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

Interested?

If this sounds like you, apply with your CV or get in touch to discuss the role in confidence
Only candidates based in UK and eligible to work in UK are allowed