Software Engineer

CV-Library
City of London, City and County of the City of London
12 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Faculty AI London, United Kingdom
£40,000 – £70,000 pa Remote Clearance Required

Software Engineer

Faculty AI London, United Kingdom
£40,000 – £70,000 pa Hybrid

Software Engineer I (Adoption)

Multiverse London, United Kingdom
£40,000 – £60,000 pa Hybrid

Software Engineer -System Performance, Robot Software

Wayve London, United Kingdom

Software Engineer III - Cloud

CrowdStrike London, United Kingdom

Software Engineer, Back End - Video Generation (Tech Lead Level)

Synthesia London, United Kingdom
Remote
Posted
22 Apr 2025 (12 months ago)

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.