This is not a rotation programme designed to give you a flavour of different jobs. It is a structured two-year technical apprenticeship built to produce engineers who understand business context, can operate in AI-native environments, and are ready to contribute meaningfully from day one.
We are building Liberty Blume's technology function from the ground up. A GCP-first platform organisation with AI embedded at its core. The graduates who join this scheme will work alongside that buildout, not observe it from the sidelines.
We have four places. We are looking for people who are technically sharp, intellectually curious, and willing to work in ambiguity.
The Assessment Centre for this scheme will be held in mid January 2027, with anticipated start date September 2027.
WHAT TO EXPECT
Year 1 — Technology Context Rotations
Three rotations of approximately 4 months each across the Technology supplementary functions. The purpose is not job-shadowing — you will own deliverables in each rotation.
Product & Delivery — work embedded with our product team on our internal and external products. Learn how technical decisions translate into product outcomes.
Tech PMO — contribute to resource and delivery tracking across our engineering portfolio. Understand how technology investment is governed, tracked, and reported.
Tech Strategy— support architecture review, vendor assessment, and strategic initiatives.
Year 2 — Engineering Team
A full year embedded in our central Engineering team. You will contribute to production codebases and AI platform development on Google Cloud Platform. By the end of Year 2, you will be operating as a junior software engineer with real responsibilities.
Throughout Year 2, you will work toward Google Cloud certifications, supported by structured study time and access to Google's training resources.
What You Will Work On
Liberty Blume builds and operates technology platforms for our business and customer. Our core platforms run on a microservices architecture on GCP. Our AI platform (Blume AI) is being built on Vertex AI and is central to our product strategy.
During this scheme you can expect direct exposure to:
Google Cloud Platform - e.g. Cloud Run, BigQuery, Vertex AI, Apigee, Document AI
AI and LLM integration – e.g. working with large language models in production contexts, not just experimental settings
Infrastructure-as-code – e.g. Terraform, GitHub Actions, CI/CD pipelines
API-first architecture – e.g. microservices design patterns, integration engineering
Data engineering – e.g. structured data pipelines, analytics, FinOps instrumentation
We work closely with Google Cloud as a strategic partner. Graduates on this scheme will benefit from that relationship directly, including access to Google-led training and the pathway to formal GCP certifications.
Who We Are Looking For
We are primarily targeting graduates from Computer Science, Software Engineering, or adjacent STEM disciplines. However, we are open to any STEM background if you can demonstrate strong technical aptitude and the right mindset.
We are more interested in how you think, than what you already know. The landscape of software development is changing rapidly, AI-assisted engineering is already here. We want people who can adapt, reason clearly under ambiguity, and learn fast.
You Should Apply If You
Have or are completing a degree in a STEM subject (Computer Science or Engineering preferred)
Can demonstrate genuine curiosity about how technology systems work — not just surface-level interest
Are comfortable working with incomplete information and iterating toward a solution
Have some exposure to programming, scripting, or data analysis — however that came about
Are interested in the intersection of AI, cloud infrastructure, and real business problems
Want to understand the full stack from business context to production deployment
You Probably Should Not Apply If You
Are looking for a clearly defined 9-to-5 with low ambiguity
Want to spend Year 1 watching and Year 2 doing
Are not interested in engineering as an outcome
SALARY & BENEFITS
Competitive salary
25 days annual leave with the option to purchase 5 more
Access to wellbeing and mental health benefits such as the Calm app, personal medical, critical illness cover and dental insurance
Matched pension contribution up to 10%
Access to our car benefit scheme
24 hours Paid Volunteer Time Off
Entitlement to a birthday day off
Access to our online learning platform to continue to develop and grow your career with us
The chance to join an innovative, fast-paced and passionate team
Skills Required
- Have or be completing a degree in a STEM subject
- Computer Science or Engineering degree preferred
- Demonstrate genuine curiosity about how technology systems work
- Be comfortable working with incomplete information and iterating toward solutions
- Have exposure to programming, scripting, or data analysis
- Interest in AI, cloud infrastructure, and real business problems
- Interest in engineering as a career outcome
What We Do
Liberty Global is a world leader in converged broadband, video and mobile communications and an active investor in cutting-edge infrastructure, content and technology ventures. With our investments in fibre-based and 5G networks we play a vital role in society, currently providing over 85 million fixed and mobile connections and rolling out the next generation of products and services, while readying our networks for 10 Gbps and beyond. We’re creating national champions, combining the best broadband and mobile networks under brands such as Virgin Media-02 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, Sunrise in Switzerland, Virgin Media in Ireland and UPC in Slovakia. Liberty Global Ventures, our global investment arm, has a portfolio of more than 75 companies and funds across content, technology and infrastructure, including strategic stakes in ITV, Univision, Plume, Lionsgate and the Formula E racing series. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence. And we’re prioritising diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. Twitter https://twitter.com/libertyglobal Facebook https://www.facebook.com/libertyglobal Youtube https://www.youtube/c/libertyglobaltv Instagram https://www.instagram.com/libertyglobal
