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

Apply Now

Lead Algorithm Developer

ECM Selection
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist / Model Developer - Commercial Lending

Data Scientist / Model Developer - Commercial Lending

Data Scientist / Model Developer - Commercial Lending

Artificial Intelligence Engineer - Python, Langchain, Remote, £120-140k

Artificial Intelligence Engineer - Python, Langchain, Remote, £120-140k

Artificial Intelligence Engineer - Python, Langchain, Remote, £120-140k

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.

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.