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

Apply Now

Lead Algorithm Developer

Cambridge
8 months ago
Applications closed

Related Jobs

View all jobs

Lead AI/Machine Learning Engineer

Computer Vision/Machine Learning Research Manager

Senior Data Scientist

Software Engineer - Graph Data Science

Data Science Principal

Senior Data Scientist

Algorithm development, life science, microfluidics, imaging, Python, ML / AI
Take the lead in next generation data analysis, designing and developing new approaches to evaluate imaging and numerical data from microfluidic instrumentation for commercial use. Working alongside scientists and software developers you will create and evaluate algorithms using statistical, probabilistic and AI / machine learning approaches. This work is in the life sciences domain and 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.
  • Specific domain experience within droplet-based microfluidics used for single cell analysis/cell sorting. Your CV will demonstrate sustained expertise in commercial-grade algorithm development, working from imaging and other data sources, derived from the application of one or more related techniques, and with industry hardware.
  • Filtering and analysis of both numeric data (such as sensor data) and 2D imaging, 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
    Another top job from ECM, the high-tech recruitment experts. We will always ask before forwarding your CV.
    Please apply (quoting ref: CV27296 only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.