National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Machine Learning Engineer

RedTech Recruitment
London
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

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 - £80,000 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)
  • Good communication skills
  • 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.


We're committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website).


***********************************************************************************************

RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists. Even if the above role isn’t of interest, please visit our website to see our other opportunities.


We are an equal-opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Keywords– Machine Learning Engineer / Computer Vision / Medical Imaging / AI in Healthcare / Deep Learning / Artificial Intelligence (AI) / Data Science / AI Research / Python / PyTorch / Parallel Computing / GPU Acceleration / Multi-GPU Training / High-Performance Computing (HPC) / Scalable Inference Pipelines / Cloud Computing (AWS, GCP, Azure) / Docker / Containerization / Linux / Git / ML Development Tools/ MLFlow / Comet / Model Performance Tracking / Computational Resource Optimisation / AI as a / AIaMD / Agile Development / Software Engineering / Production-Grade Code / Testable & Maintainable Code / Research Implementation

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.