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

Apply Now

Machine Learning Scientist

Hlx Life Sciences
London
5 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Scientist, Automated Image Analysis

Machine Learning Scientist, Biomolecule Design

Machine Learning Scientist III - Experimentation Science (Statistical Methodologies)

Machine Learning Scientist II

Machine Learning Scientist III

Machine Learning Scientist, Interatomic Potentials

What the Job Involves

As a Machine Learning Scientist, your primary role would be to design and implement advanced machine learning techniques to analyze DNA and genetic data. ​


Responsibilities:

  • Analyze Genetic Data: Work with DNA and genetic information to uncover patterns and insights that could lead to new medical treatments.​
  • Develop Machine Learning Models: Create algorithms that can predict how diseases develop or how patients might respond to certain treatments.​
  • Collaborate with Scientists: Work closely with biologists and other researchers to ensure that the computational models align with biological realities.​


Requirements:

  • APhDin machine learning, computational biology, or a related field, or equivalent industrial experience.
  • Demonstrated experience applying machine learning techniques to DNA or genetic data. Alternatively, expertise in using transformers for biological data, such as DNA, protein, or evolutionary-scale modelling.
  • Proficiency inPythonand at least one ML platform(e.g., PyTorch, TensorFlow).
  • Experience withGraph ML/ GNN OR Single Cell Transcriptomics
  • Strong understanding oftransformersand their applications in biomedical research.
  • Knowledge of lab-in-the-loop frameworks and integration of ML techniques with experimental data.

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.