Machine Learning Research Engineer

Robert Walters UK; London; Remote; GBP 55,000 - 70,000; Full time

Job summary

A leading medical imaging company is seeking a Machine Learning Researcher in Computer Vision. Ideal for recent PhD graduates or individuals with industry experience, this remote role focuses on designing algorithms to enhance cancer detection accuracy. Collaborate with a dynamic team and contribute to healthcare innovation while enjoying a competitive salary and benefits.

Benefits

Remote Working

Private Healthcare

Life Assurance

Qualifications

• PhD in relevant field or equivalent industry experience.
• Strong proficiency in programming languages.
• Experience with machine learning frameworks.

Responsibilities

• Develop and implement machine learning algorithms for cancer detection.
• Collaborate with a multidisciplinary team.
• Publish research findings in scientific journals.

Skills

Python

C++

Problem Solving

Education

PhD in Computer Science

PhD in Electrical Engineering

PhD in Biomedical Engineering

Tools

TensorFlow

PyTorch

Keras

OpenCV

Job description

We are partnering with a cutting-edge medical imaging company that is transforming cancer detection and diagnosis.

This innovative company uses camera data to develop state-of-the-art solutions aimed at enhancing early detection and treatment of cancer. They are now seeking a talented Machine Learning Researcher in Computer Vision to join their dynamic and fully remote team.

Role Overview:

This exciting opportunity is perfect for a recent PhD graduate or an individual with a few years of industry experience in computer vision. In this role, you will be instrumental in designing algorithms to improve the accuracy and efficiency of cancer detection using video data. You will collaborate with a multidisciplinary team and contribute to the advancement of medical technology.

Key Responsibilities:

• Develop and implement cutting-edge machine learning algorithms for detecting images and videos.
• Work closely with researchers, engineers, and medical professionals to translate research findings into practical applications. (team of 20 other researchers).
• Conduct experiments to validate and enhance the performance of computer vision models.
• Stay current with the latest advancements in machine learning and computer vision, applying this knowledge to ongoing projects.
• Publish research findings in leading scientific journals and present at industry conferences.

Qualifications:

• PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with a focus on Machine Learning and Computer Vision, or equivalent industry experience.
• Strong proficiency in programming languages such as Python, C++, or similar.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, or OpenCV.
• Proven ability to develop and optimise deep learning models for image and video analysis.
• Understanding of medical imaging and video data is advantageous.
• Excellent problem-solving skills and a passion for healthcare innovation.

The role is offering a salary of up to £70,000 per annum and comes with a wealth of benefits including remote working, private healthcare, life assurance & more.

Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

About the job

Contract Type: FULL_TIME

Focus: Data Science & AI Research

Workplace Type: Remote

Experience Level: Associate

Location: London

Contract Type: FULL_TIME

Specialism: Technology & Digital

Focus: Data Science & AI Research

Industry: IT

Salary: £55,000 - £70,000 per annum

Workplace Type: Remote

Experience Level: Associate

Location: London

FULL_TIME

Job Reference: RYOLT5-51C94CD5

Date posted: 16 May 2025

Consultant: Tom Sneyd

london information-technology/data-science-ai-research 2025-05-16 2025-07-15 it London London GB GB GBP 55000 70000 70000 YEAR Robert Walters https://www.robertwalters.co.uk https://www.robertwalters.co.uk/content/dam/robert-walters/global/images/logos/web-logos/square-logo.png true