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

Apply Now

Research Scientist

Hlx Life Sciences
London
9 months ago
Applications closed

Related Jobs

View all jobs

Research Scientist (Machine Learning)

Research Scientist (Machine Learning)

Research Scientist (Machine Learning), London

Research Scientist, Machine Learning (PhD)

Senior Research Scientist: Data Science and Machine Learning AIP

Senior Research Scientist: Data Science and Machine Learning AIP

As aResearch Scientist, you will play a key role in designing, implementing, and validating new computational and machine learning frameworks. You will collaborate with their talented team of scientists and engineers to develop prototype and clinical software.


In this role, you will:

  • Shape real-time surgical guidance technologyby developing cutting-edge computational and machine learning methods for hyperspectral imaging data.
  • Design and implement algorithmsfor hyperspectral image data processing, including low-level image reconstruction, deep learning-based tissue property estimation, semantic segmentation, and stereo vision reconstruction for multi-view surgical guidance.
  • Contribute to innovationby supporting patent filings and research publications.
  • Work closely with software development and regulatory teamsto ensure seamless integration from R&D to deployment.


A Bit About You

  • MSc or PhD in Machine Learning, Medical Image Computing, Computer Vision, or a related technical discipline.
  • Strong knowledge of machine learning and computer vision algorithms.
  • Experience with scientific software packages (e.g., PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn).
  • Familiarity with standard software engineering practices (version control, software testing).
  • Excellent oral and written communication skills.
  • Analytical mindset, detail-oriented, creative, and collaborative.
  • A commitment to fostering an inclusive and diverse team culture.
  • (Bonus: Unique skills, languages, or life experiences that enrich the team dynamic.)


What they Offer

  • Impactful Work: Shape a MedTech start-up developing next-generation surgical guidance technology.
  • Expert Leadership: Our board includes serial entrepreneurs in MedTech and surgical robotics, and you'll work alongside thought leaders in healthcare engineering.
  • Academic & Clinical Partnerships: As a spin-out from a top academic institution, we have access to hospitals, simulation facilities, labs, and computational resources.
  • Real-World Application: Contribute directly to ongoing clinical studies, including neurosurgery and laparoscopic surgery trials, impacting real patients.
  • Multidisciplinary Team: Collaborate with experts in surgery, AI, biomedical engineering, and regulatory affairs.
  • Innovative Environment: A workplace that fosters curiosity, creativity, and autonomy, bridging industry, academia, and clinical practice.
  • Flexible Working: Enjoy flexible hours and remote working options.
  • Career Growth: We are committed to employee development and equal opportunities for advancement.

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.