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

Apply Now

Software Engineer

City of London
6 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer - Machine Learning

Software Engineer - AI/Machine Learning

Software Engineer - Graph Data Science

Software Engineer - (Machine Learning Experience a plus) - hybrid

Software Engineer II, Applied Machine Learning

Software Engineer- Machine Learning - UK

Software Engineer (Permanent) - Location: Central London

Salary: Up to £90K + excellent benefits

We're looking for a talented Software Engineer with 2-4 years Python experience to join a fast-growing business at the forefront of Science and Technology. This company is doing incredible work in the life sciences sector, with teams focused on creating accessible AI algorithms specifically designed for drug discovery and related challenges.

In this role, you'll design, develop, and maintain software systems that address real-world problems in AI and drug discovery. You'll have the chance to make a real impact, helping shape the company's technological foundations from the ground up.

Working in an interdisciplinary environment-spanning physics, chemistry, biology, and machine learning-you'll continuously grow your skills while contributing to meaningful innovation.

What We're Looking For:

2-4 years of hands-on software development experience
Backend experience
A passion for software engineering and continuous improvement
Proficiency in one or more programming languages (especially Python; other useful languages include Java, C++, or Go)
Strong knowledge of data structures, algorithms, and system design
Experience with distributed systems, APIs, and/or cloud platforms (e.g., AWS, GCP)
Comfortable working with both SQL and NoSQL databases
Experience in an Agile development environment
Degree (BSc, MSc, or PhD) in Computer Science, Engineering, or a related field
Bonus points for knowledge in machine learning, AI, data engineering, or DevOps/containerizationGCS is acting as an Employment Agency in relation to this vacancy

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.