Machine Learning Engineer
Posted Today by R3vamp
Negotiable
Undetermined
Remote
United Kingdom
Summary: The Machine Learning Engineer role focuses on developing and deploying advanced computer vision models within a rapidly growing technology organization. The position requires strong commercial experience in machine learning and computer vision, with an emphasis on adapting state-of-the-art models for production. The successful candidate will collaborate with cross-functional teams to shape innovative visual AI functionalities. This role offers the opportunity to work on cutting-edge AI technologies in a supportive and ambitious environment.
Key Responsibilities:
- Develop, optimize, and deploy advanced computer vision models.
- Adapt state-of-the-art foundation models into high-performance production-ready features.
- Collaborate with Product, Engineering, and AI teams to influence platform direction.
- Manage the full ML lifecycle from experimentation to deployment and monitoring.
- Design scalable data pipelines and preprocessing workflows.
- Utilize Agile methodologies and tools for project management.
Key Skills:
- 3+ years of experience in building and deploying Computer Vision systems.
- Strong experience with modern vision foundation models (e.g., SAM, YOLO, DETR).
- Excellent Python skills and proficiency in deep learning frameworks (PyTorch, TensorFlow).
- Experience with Computer Vision tools like OpenCV.
- Strong background in deploying ML models in AWS environments.
- Knowledge of model optimization tools (TensorRT, ONNX).
- Experience with MLOps, model monitoring, and automated retraining pipelines.
- Excellent communication and collaboration skills.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
ML Engineer
Salary Negotiable DoE
Initial 6 Months with View to Extend
Remote (UK)
Your New Role
We are currently supporting an innovative and rapidly growing technology organisation in the search for a highly skilled Machine Learning Engineer specialising in Computer Vision. This is an exciting opportunity to join a forward-thinking team focused on developing next-generation AI capabilities and transforming cutting-edge research into scalable commercial solutions. The successful candidate will play a key role in the development, optimisation, and deployment of advanced computer vision models, taking state-of-the-art foundation models and adapting them into high-performance production-ready features. Working closely with Product, Engineering, and AI teams, you will contribute directly to the future direction of the platform and help shape innovative visual AI functionality.
Ensuring Your Success
You will have strong commercial experience within Machine Learning and Computer Vision environments, with a proven ability to deploy scalable AI solutions into production. You will be confident working across the full ML lifecycle, from model experimentation and optimisation through to deployment and monitoring within cloud-based infrastructure. You will ideally possess:
- 3+ years of commercial experience building and deploying Computer Vision systems.
- Strong experience fine-tuning and adapting modern vision foundation models including SAM, YOLO, DETR architectures, or similar technologies.
- Excellent Python development skills alongside deep learning frameworks such as PyTorch or TensorFlow.
- Experience using Computer Vision tooling including OpenCV.
- Strong experience deploying ML models within AWS environments, including EC2 GPU infrastructure and SageMaker.
- Knowledge of model optimisation tools such as TensorRT or ONNX.
- Experience designing scalable data pipelines, preprocessing workflows, and dataset augmentation strategies.
- Strong understanding of Agile delivery methodologies including Scrum/Kanban alongside tools such as Jira and Confluence.
- Excellent communication and collaboration skills with the ability to work cross-functionally across technical and product teams.
- Experience within MLOps environments, model monitoring, automated retraining pipelines, or ML version control frameworks such as MLflow or DVC would be highly advantageous.
- Exposure to Life Sciences, Biotech, Medical Imaging, or Digital Pathology environments would also be beneficial, alongside experience with Vision-Language Models or multimodal AI systems.
In Return
In return, you will be joining a highly ambitious organisation at a key stage of growth, where innovation and experimentation are actively encouraged. Alongside a competitive salary and benefits package, you will have the opportunity to work on cutting-edge AI technologies, influence product direction, and contribute to the delivery of impactful next-generation solutions within a collaborative and high-performing environment.