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

Apply Now

Software Engineer

City of London
7 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer - Machine Learning

Software Engineer – Machine Learning & Analytics

Software Engineer, Machine Learning

Software Engineer- Machine Learning - UK

Senior Software Engineer, Machine Learning Services (MLS)

Senior Software Engineer, Data & Machine Learning

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.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

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.

🍪 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.