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

Apply Now

Head of Machine Learning

Gloo
Bristol
10 months ago
Applications closed

Related Jobs

View all jobs

Head of Machine Learning and AI

Junior Machine Learning Engineer

Machine Learning Engineer

Head of Data Science & AI

Head of Data Science & AI

Head of Data Science & AI

We are seeking a Head of Machine Learning to lead an innovative team at the intersection of biotechnology and artificial intelligence. This role focuses on applying advanced AI and machine learning techniques to optimize and advance the manufacturing of human tissue for research and therapeutic applications.

The position requires a leader who can guide the deployment of machine learning models into production while collaborating across teams. This includes working with engineering teams on infrastructure and internal applications and biology teams on cell experiments, microscopy data collection, and differentiation protocol development.


About You

You should have:

  • Extensive experience leading Deep Learning teams.
  • Expertise in machine learning for computer vision.
  • Hands-on experience with modern ML tools and frameworks (e.g., PyTorch, Detectron) in production environments.
  • Experience developing software for data management and analysis, especially in collaboration with biology teams.


Key Responsibilities

  • Lead the AI/ML team, providing strategic and technical direction.
  • Develop training, testing, and deployment infrastructure for machine learning models.
  • Drive the selection and engineering of models for production, including choosing appropriate ML frameworks.
  • Collaborate with cross-functional teams to deliver impactful project outcomes.
  • Create internal applications and data products to support biological research.


Requirements

  • 3+ years of experience in a leadership role within a technology or ML-driven team.
  • Strong proficiency in Python, ML frameworks like PyTorch, cloud infrastructure, and CI systems.
  • Exceptional communication skills for clear, data-driven decision-making.


Preferred Qualifications

  • Interest or experience in biotechnology or biology.
  • Background working with large datasets or scientific research publications.
  • Experience developing AI-first software products, particularly in the biotech field.


What We Offer

  • The opportunity to work at the cutting edge of AI, stem cell biology, and cell therapy development.
  • An inclusive, collaborative, and intellectually stimulating work environment.


If you are passionate about leveraging machine learning to drive meaningful advancements in biotechnology, this is the perfect opportunity for you.

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.