National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Algorithm Developer

ECM Selection
Cambridge
8 months ago
Applications closed

Related Jobs

View all jobs

Senior AI/ML Engineer - Data Science

Senior AI/ML Engineer - Data Science

Lead Machine Learning Engineer

Lead Data Scientist

Senior Machine Learning Developer

Research Manager (Computer Vision/Machine Learning)

Take the lead in next generation data analysis, designing and developing new approaches to evaluate imaging and numerical data from scientific instrumentation for commercial use. Working alongside scientists and software developers you will create and evaluate algorithms using statistical, probabilistic and AI / machine learning approaches.

Since this work is in the life sciences domain, prior work in this area is advantageous. Previous experience creating commercial-grade algorithms and/or analysing data in the field of cell therapy (or other cell analytics), fluorescence, droplet imaging and/or microfluidics is especially valued. Your work will help shape future approaches to this data pipeline.

You will have:

A good bachelor’s or higher degree (or equivalent) in a STEM subject; a relevant PhD is beneficial but not required. A strong mathematical background is very helpful. Significant expertise developing commercial-grade algorithms for the filtering and analysis of both numeric data (such as sensor data) and 2D imaging, ideally in a life science context working with industry hardware. You may have created these algorithms in Python or other languages such as C or C++, R, Java, C# or Fortran. Good technical communication skills, as you’ll be working in cross-discipline environment with scientists and software developers. Team leadership experience would be beneficial for future growth, particularly leading a small analytical team in a scientific context.

Salary ranges up to £70k depending on experience. Benefits include up to a day per week home working, flexible start and finish times, a competitive pension, private medical cover, income protection, life assurance, enhance maternity/paternity leave and athletic memberships. The company is in cycling distance from central Cambridge and on major bus routes.

Keywords: algorithm development, Python, 2D imaging, numerical data, instrumentation, cell therapy, fluorescence, droplet imaging, microfluidics, team lead, C, C++, R, Java, C#, Fortran, Cambridge

Please note: even if you don’t have exactly the background indicated, do contact us now if this type of job is of interest – we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.

National AI Awards 2025

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.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.