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

Apply Now

ML Engineer

Vertexsearch
London
6 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Job DescriptionMachine Learning Engineer WorldClass Medical AI Scaleup

Looking to join a buisness building AI / ML solutions that make a realworld impact Our cuttingedge medical AI scaleup client based in London is about to launch and they are looking for toptier Machine Learning Engineers and Scientists to help them scale AI solutions that will revolutionise healthcare. With world class talent already on board and a setup and partnerships already in place that will allow them to scale fast the firm is ready to develop multi modal models to radically improve drug trial success rates by building out and deploying foundational large medicine models.

Key requirements

Our client is looking for talented ML Engineers with strong academic credentials paired with expertise in scalable highperformance ML systems. Ideal candidates will have experience in a subset of:

  • ML Ops building deploying and maintaining ML pipelines at scale

  • Model Diagnosis & Performance Optimisation tuning and debugging

  • Experiment Tracking Tools ensuring reproducibility and continuous improvement

  • MultiNode Training leveraging distributed compute for efficiency

  • ScaleUp Experience taking AI from prototype to production

Tech Stack:

  • Deep Learning Frameworks: ideally PyTorch

  • Inference & Optimisation: NVIDIA NSight Triton Inference Server are a plus!

What You Bring:

  • Strong academic background degree in a Maths Computer Science or related STEM field

  • Realworld ML experience at scale youve deployed models intro production beyond research

  • A passion for AI in healthcare helping solve some of the biggest medical challenges

Why Join

  • Competitive compensation highly competitive base salaries

  • Stock options & performancebased bonuses strong contributions are rewarded with significant performancebased cash and stock compensation

  • Meritocratic environment no bureaucracy just impactdriven growth

This is a rare opportunity to join a missiondriven team at the forefront of AI innovation. If youre interested to learn more reach out or apply today.

Vertex Search is acting as a recruitment agency on this assignment.


Key Skills
ASP.NET,Health Education,Fashion Designing,Fiber,Investigation
Employment Type :Full-Time
Experience:years
Vacancy:1

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.