Computer Vision Jobs in the East of England

4 Computer Vision Jobs in the East of England

Data Scientist

Cambridge, England, United Kingdom
Hybrid / WFH Options
electronRx
and/or signal processing domain knowledge Previous experience in developing healthcare-based applications Experience with developing and testing CNNs, RNNs, and transformer models Computer vision knowledge Experience with C/C++ programming A demonstrable interest and/or experience working in digital health, digital therapeutics, or the more »
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Machine Learning Engineer

Milton Keynes, Bedfordshire, South East, Woolstone, Buckinghamshire, United Kingdom
Hybrid / WFH Options
Dupen Ltd
frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a knowledge of secure coding techniques – PCI-DSS, PA-DSS, ISO27001. more »
Employment Type: Permanent
Salary: £50000 - £60000/annum To £60,000 + range of benefits
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Senior Machine Learning Data Scientist

Cambridge, Cambridgeshire, East Anglia, United Kingdom
Hybrid / WFH Options
Set2Recruit
data, they empower landowners, businesses, governments, and communities to take informed actions for a sustainable future. Key Responsibilities: Develop practical deep learning applications for computer vision. Curate machine learning training datasets. Drive innovation by staying updated on the latest research and methodologies. Collaborate with ecologists to customize methodologies for more »
Employment Type: Permanent, Work From Home
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Senior Machine Learning Engineer

Bedford, England, United Kingdom
Hybrid / WFH Options
Understanding Recruitment
in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully more »
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