Senior Machine Learning Engineer

JR United Kingdom; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An exciting opportunity has arisen for a Senior Machine Learning Engineer to join a groundbreaking start-up focused on revolutionizing cancer diagnosis and treatment. In this role, you will develop advanced machine learning models and algorithms to analyze medical imaging data, working alongside healthcare professionals to drive impactful scientific discoveries. This innovative firm is dedicated to pushing the boundaries of technology in healthcare, providing a collaborative environment where your skills can thrive. If you are passionate about machine learning and its application in healthcare, this role offers a chance to make a significant difference in the industry.

Qualifications

• Strong experience in machine learning, especially in medical image analysis.
• Acute coding skills in Python and familiarity with cloud computing.

Responsibilities

• Develop ML models and analyze medical imaging data.
• Produce algorithms for detecting patterns in cancer growth.

Skills

Machine Learning

Medical Image Analysis

Python

MLOps

Computer Vision

C++

Java

C#

Linux

Shell Scripting

Education

M.Sc in Computer Science or Engineering

Ph.D. in a Relevant Area

Tools

PyTorch

TensorFlow

TFX

Neptune.ai

MLflow

Weights & Biases

Job description

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Senior Machine Learning Engineer, London

Client: Barrington James

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 1

Posted: 30.03.2025

Expiry Date: 14.05.2025

Job Description:

An impressive opportunity to work as a Senior Machine Learning Engineer has arisen for an exciting start-up company and their incredible team.

This role is a marvelous opportunity to help develop machine learning models and algorithms to assist in the data analysis of medical imaging. The company is in the process of producing groundbreaking work towards their fundamental goal of diagnosing and treating cancer at its most actionable and early stages.

This role will provide the opportunity to work alongside experienced healthcare professionals and with clinical healthcare data. You will work hard with other software and train computers to recognize and understand medical imaging data, subsequently making streamlined decisions based on the data from said images.

If you have strong experience in machine learning, specifically in medical image analysis, please read below.

Responsibilities:

• Work across different aspects of machine learning research, assisting in developing ML models and analyzing medical imaging data.
• Combine divergent tooling around medical images to form united pipelines and software solutions.
• Produce algorithms for medical image analysis to detect patterns and trends in cancer growth.
• Improve the accuracy of already deployed ML models by implementing superior MLOps.
• Facilitate data-driven scientific discoveries in biology and healthcare.
• Build for significant growth and have the ability to scale challenges – achieving a high degree of robustness and performance.

Background:

• M.Sc in computer science or engineering.
• A developed understanding of machine learning and computer vision, including MLOps.
• Acute coding skills in Python and other programming languages.
• Knowledge of object-oriented programming and software architectures in C++ / Java / C#.
• Experience in cloud-based computing settings.
• Strong understanding and excellent skills in Linux, shell scripting, containerization, etc.
• An ability to write clear code along with the capability to assess and devise software requirements.
• Fluent professional-level English along with personable communication skills.
• Technical curiosity and adventure around applying machine learning in healthcare, looking to push the boundaries of science!

Desired experience:

• Ph.D. in a relevant area.
• Understanding of PyTorch, TensorFlow, and platforms like TFX, Neptune.ai, MLflow, Weights & biases, etc.
• Previous experience working in computer vision or machine learning.
• Knowledge of digital pathology.
• Awareness and prior experience in Life Science and/or computational biology.

Following your application, Mark Njiriri, a specialist AI recruiter, will discuss the opportunity with you in detail. He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available.

This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.