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

Apply Now

Senior Machine Learning Engineer - Computer Vision

London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer/Computer Vision

Senior Machine Learning Engineer - Robotics

Senior Machine Learning Engineer - Robotics

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer - Computer Vision
A brilliant opportunity for a Machine Learning Engineer with strong 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
  • Strong 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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.