Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Machine Learning Engineer

RedTech Recruitment
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer - Robotics

Senior Machine Learning Engineer/Computer Vision

Senior Machine Learning Engineer - Robotics

Senior Machine Learning Engineer (Spain)

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

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.