Social network you want to login/join with:
Machine Learning Engineer - Computer Vision, high wycombe
col-narrow-left
Client:
Explore Group
Location:
high wycombe, United Kingdom
Job Category:
Other
-
EU work permit required:
Yes
col-narrow-right
Job Views:
2
Posted:
22.08.2025
Expiry Date:
06.10.2025
col-wide
Job Description:
6 Month Contract - Hybrid Working - Asap Start - Outside of IR-35
Overview
The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions). You will play a key role in designing, building, and deploying machine learning models that drive innovation in image and video processing.
Responsibilities
* Develop, train, and optimisecomputer vision modelsfor real world applications.
* Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation.
* Deploy ML models into production, ensuring scalability, efficiency, and reliability.
* Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions.
* Stay up to date with the latest advancements in deep learning, computer vision, and related technologies.
Key Skills & Experience
* Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow).
* Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn).
* Proven track record of building and deploying ML models in production environments.
* Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar).
* Experience working with cloud platforms (AWS, Azure, or GCP).
* Solid understanding of CNNs, object detection, segmentation, and image classification.
* Strong problem-solving skills and ability to work in a hybrid, collaborative environment.
Nice to Have
* Experience with transformer-based vision models (ViT, CLIP, SAM).
* Familiarity with real-time inference and optimisation (ONNX, TensorRT).
* Previous work on video analytics, 3D vision, or multi-modal ML projects.
J-18808-Ljbffr