Software Engineer – Cloud & AI Platforms

Nesta
London, United Kingdom
Today
£55,000 – £60,000 pa

Salary

£55,000 – £60,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Security Clearance
Required
Posted
30 Apr 2026 (Today)

Hybrid (UK) | Wimbledon office | SC clearance required

Our customer is looking for amid-level software engineer to join a small, high-impact team modernising our platform and building the next generation of AI-driven tools.

This is ahands-on role with architectural influence, combining legacy system modernisation with greenfield AWS-native development.

Key responsibilities

  • Lead containerisation and migration of legacy platforms to anAWS/Hybrid architecture
  • Design and buildAWS-native systems, including AI features usingAWS Bedrock
  • Shape and manage AWS infrastructure usingTerraform and CloudFormation
  • Provide input into cloud strategy, deployment standards, and best practices
  • Work across a mixed tech stack (Perl, Python, Go, TypeScript/JavaScript)

What we’re looking for

  • Experience withAWS and cloud architecture
  • Practicalcontainerisation experience
  • Hands-onInfrastructure as Code (Terraform and/or CloudFormation)
  • Interest inAI platforms / Bedrock (experience a plus)
  • Comfortable influencing technical direction in a collaborative team

Why join

  • Real ownership and influence in a small team
  • Mix of platform modernisation and greenfield AI work
  • Hybrid working with regular time in theWimbledon office

Requirements

  • UK-based
  • Eligible forUK Government SC clearance

Related Jobs

View all jobs

Full Stack AI Engineer

Addition Derby, United Kingdom
£42,000 – £55,150 pa Hybrid

Audio Systems Embedded Software Engineer (DSP/ Machine Learning)

IT Graduate Recruitment London, United Kingdom
£40,000 – £70,000 pa On-site

Software Engineer

Moorepay Manchester, United Kingdom
£40,000 – £70,000 pa On-site

Software Cyber Engineer - Python UK

Circle Recruitment London, United Kingdom
£60,000 – £75,000 pa Remote

Software Engineer, Cloud Infrastructure

OpenAI London, United Kingdom
Permanent

Software Engineer - AI Workbench

PhysicsX London, United Kingdom

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.