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

Apply Now

Machine Learning Researcher

BioTalent Ltd
Oxford
3 weeks ago
Applications closed

Related Jobs

View all jobs

Machine Learning Researcher

Machine Learning Researcher

Machine Learning Researcher

Machine Learning Researcher

Machine Learning Researcher (relocate to USA)

Machine Learning Researcher

We are hiring for aMachine Learning Researcherto join its growing R&D function. This is a unique opportunity to apply cutting-edge machine learning techniques to solve meaningful challenges in the molecular analysis and sequencing space. You’ll collaborate with cross-functional teams to help shape next-generation tools and approaches for analysing complex biological data.

This Role Will Offer You:

  • The chance to work at the forefront of scientific research and AI/ML innovation
  • A highly collaborative, interdisciplinary team environment
  • The opportunity to contribute to impactful projects in DNA/RNA/protein analysis
  • A competitive salary and comprehensive benefits including performance bonuses, private healthcare, and a generous pension scheme
  • A stunning campus location with landscaped surroundings and a strong mission-led culture

Your Responsibilities:

  • Develop and apply machine learning models to advance molecular sensing and biomolecule modelling
  • Collaborate closely with scientists and engineers to drive innovation across sequencing technologies
  • Create and optimise tools tailored to nanopore and bioinformatics applications
  • Present research findings clearly to both technical and non-technical stakeholders
  • Contribute to the deployment of robust, user-facing tools and pipelines

You Will Need:

  • A PhD (or equivalent experience) in a relevant field such as Computational Biology, Computer Science, Bioinformatics or similar
  • Strong knowledge of biomolecular modelling, structural prediction, small molecule docking and/or biomolecule design
  • Experience in prototyping and deploying algorithms in a scientific or engineering context
  • Excellent communication and collaboration skills
  • Strong programming skills and familiarity with software engineering best practices


#J-18808-Ljbffr

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.