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

Apply Now

Machine Learning Engineer

LinuxRecruit
City of London
4 days ago
Create job alert
Overview

Forget the sci-fi cliches, artificial intelligence is already redefining the way we understand and deliver healthcare. From accelerating drug discovery to enhancing diagnostics, machine learning is driving real, measurable impact in the medical world.

Looking for a Machine Learning Engineer to join a brand new division within one of Europe’s fastest scaling AI start ups. This is your chance to be part of a pioneering team that’s building intelligent, scalable solutions specifically designed for the complexities of healthcare and the pharmaceutical industry.

Operating from modern hubs in either Madrid or Barcelona, you’ll play a key role in creating robust machine learning infrastructure, from model development and evaluation to automating workflows for deployment and monitoring. Working shoulder to shoulder with Data Scientists, Software Engineers, and domain experts, you\u2019ll build systems that directly influence clinical outcomes and R&D processes.

What’s on offer? A forward thinking, supportive team environment, flexible remote/hybrid working, and the chance to contribute to high impact projects at the intersection of technology and human wellbeing.

Ready to help shape the next generation of healthcare innovation? Apply now.

Responsibilities
  • Build and maintain robust machine learning infrastructure, including model development and evaluation, and automate workflows for deployment and monitoring.
  • Collaborate with Data Scientists, Software Engineers, and domain experts to deploy scalable ML solutions that influence clinical outcomes and R&D processes.
  • Develop systems that are robust, scalable, and aligned with healthcare and pharmaceutical industry needs.
Qualifications
  • Hands-on Python experience.
  • Proficiency with cloud environments, especially AWS.
  • Experience with ML tooling such as MLflow, Airflow, and containerisation.
  • Prior experience in life sciences, pharma, or healthcare AI is highly desirable.
  • Familiarity with generative AI APIs or AI-powered platforms is a bonus.
Location & Benefits
  • Location: Madrid or Barcelona hubs with flexible remote/hybrid options.
  • Forward-thinking, supportive team environment.
  • Flexible remote/hybrid working.
  • Opportunity to contribute to high-impact projects at the intersection of technology and human wellbeing.


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

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.