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A brilliant opportunity for a Machine Learning Engineer with experience in Computer Vision to join an exciting tech-for-good start-up in London, which is making technological advances and solutions using machine learning techniques within healthcare. Joining a company founded by experts in their field, this is an amazing opportunity to truly make a difference by helping in the advancement of diagnosis & treatment of disease.
Location: 4 days a week remote - 1 day a week in London
Salary: £60,000 - £92,000 per annum + comprehensive benefits including private medical, dental, opticians, life assurance and enhanced pension
Requirements for Senior Machine Learning Engineer - Computer Vision
* At least 2 years experience working in a Machine Learning position
* Good knowledge of Computer Vision - and even better, if this was related to medical imaging
* Proficient in programming, ideally in Python
* Excellent academic history - you are very likely educated to Ph.D. level with a 2.1 or first class degree and at least AAB at A Level (or international equivalent)
* Strong problem-solving ability
* Any experience with regulatory medical standards for AI being used within Medical Devices would be beneficial
Responsibilities for Senior Machine Learning Engineer - Computer Vision
* Designing and refining machine learning models for medical imaging applications.
* Enhancing model deployment by optimising training across multiple GPUs and distributed systems.
* Creating efficient, high-performance inference pipelines.
* Incorporating the latest research to develop innovative machine learning solutions.
* Maximising computational efficiency to improve resource utilisation.
* Establishing performance metrics to monitor and evaluate models over time.
What this offers:
* An opportunity to join a success story in the making
* Working in tech-for-good
* A super friendly, supportive culture with people on a mission to improve lives
Applications:
If you would like to enquire about this unique Machine Learning Engineer opportunity, we would love to hear from you.
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