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

Apply Now

NMR Manager

Imperial College London
London
7 months ago
Applications closed

The Centre undertakes metabolic phenotyping from a diverse portfolio of research collaborations spanning clinical medicine to large-scale population health studies from within Imperial and beyond. The NPC specialises in state-of-the-art targeted and untargeted approaches using a combination of NMR, chromatographic and MS technologies alongside innovative informatics approaches. With a key focus on building strong research collaborations, identifying biologically and clinically relevant biomarkers, and developing innovative technological and bioinformatics approaches required for the analysis of “big data”, this is an exciting role within a highly motivated and supportive team.

The Centre, in operation since June 2012 (previously as the National Phenome and Clinical Phenotyping Centres), provides high-throughput, high-quality analysis of samples and engages in academic and industrial collaborations for projects requiring complex data analysis and interpretation across a wide range of research areas. It is a national resource to enable researchers (academic and commercial) to have access to state-of-the-art NMR and MS facilities and expertise at Imperial to undertake this work.

The post-holder will form part of a team ensuring the smooth and efficient running of the NMR facility of the National Phenome Centre (NPC) at the Hammersmith campus including data collection, review of data quality, and requisite data processing.


The post-holder will manage the day to day delivery of the National Phenome Centre NMR lab and analytical service ensuring that projects are delivered on time and to budget. The postholder will achieve this through leadership and management of a team of technicians and post-doctoral staff (currently 2 staff). The post-holder will ensure that the laboratory and equipment are well maintained and efficiently run and the data produced are of very high quality. The post-holder will have an important role in ensuring good communications with colleagues in the National Phenome Centre, and with other related parts of the Department such as Division of Systems Medicine and with our customers and partners in other organisations.


Higher degree in Chemistry, Physics or equivalentProven ability in all aspects of practical NMR spectroscopy including experience with biological sample handling including instrument maintenance and troubleshooting, method development and validation and metabolite identificationDemonstrate management of a multi-user instrument laboratory running an analytical service and will be happy working with a range of customers. Good leadership and motivational skills will be essential as will excellent communication skillsAbility to work to deadlines whilst maintaining a high level of accuracy.
The opportunity to develop new research and collaboration opportunities in NMR.

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.