Full-Time

Platform Engineer

Technology, Platform Engineering

Posted on 7/23/2026

Cambridge Spark

Cambridge Spark

201-500 employees

Corporate and government AI education provider

No salary listed

United Kingdom

Hybrid

Occasional travel to London; home-based UK role.

Category
DevOps & Infrastructure (1)
Required Skills
Bash
Kubernetes
Terraform
Observability
Linux/Unix
Google Cloud Platform

Get referred to Cambridge Spark

Find people who can refer or advise you

Requirements
  • Solid, hands-on cloud platform experience (we use Google Cloud Platform)
  • Experience with infrastructure-as-code (Terraform or equivalent)
  • A track record of meaningfully improving CI/CD pipelines
  • Familiarity with the developer experience space: local development tooling, observability, internal platforms, and similar
  • Comfortable across the platform stack rather than deeply specialised in a single area; we are not at a scale that rewards narrow expertise
  • Exposure to Kubernetes clusters
  • Solid Linux experience
  • Comfortable with CLI and debugging servers via SSH
  • Comfortable with scripting (e.g. bash)
Responsibilities
  • Own and evolve our Google Cloud Platform-based platform alongside the existing infrastructure engineer, increasing resilience and reducing single points of failure
  • Establish developer experience as a discipline — audit where engineering time is lost, and systematically improve it through better tooling, automation, and process
  • Build and maintain CI/CD pipelines, local development environments, and internal tooling that make the engineering team faster and more confident
  • Introduce infrastructure-as-code and platform engineering best practices where they are missing or immature
  • Collaborate across engineering, product, and curriculum teams to understand where platform limitations are creating friction
  • Contribute to our AI tooling adoption — we are an AI company and expect our engineering practice to reflect that
  • Work with the Head of Engineering to set technical direction for the platform, with genuine influence over decisions
  • Secure Infrastructure - We have a lot of data that needs to be secured according to standards
  • Monitor Infra - Monitor infrastructure performance and errors and make fixes independently
Desired Qualifications
  • Experience with Python-based software and environments
  • Experience with data-heavy engineering environments
  • Working with Kubernetes custom resource definitions and creating operators
  • Comfortable with Automation tools such as Ansible

Cambridge Spark provides education technology that helps organizations and government bodies upgrade their workforce with digital transformation skills through professional programs like apprenticeships, bootcamps, and bespoke training. It uses the EDUKATE.AI learning platform to give personalized feedback on coding tasks and to simulate real-world industry environments, with courses delivered largely by a remote team and over 50 expert tutors from universities and data-driven organizations. The company differentiates itself by offering tailored education solutions that combine theoretical learning with hands-on practice, supported by a proprietary platform and a strong network of instructors. Its goal is to help organizations digitally transform by building practical AI and data science skills in their workforce.

Company Size

201-500

Company Stage

Grant

Total Funding

$18.7M

Headquarters

London, United Kingdom

Founded

2016

Get referred to Cambridge Spark

Find people who can refer or advise you

Benefits

Health Insurance

Wellness Program

Parental Leave

Paid Vacation

Paid Holidays

Professional Development Budget

Company Social Events

Mental Health Support

Growth & Insights and Company News

Headcount

6 month growth

6%

1 year growth

7%

2 year growth

10%
Cambridge Spark
May 4th, 2026
Cambridge Spark launches new AI research podcast hosted by CAIO, Jeremy Bradley.

Cambridge Spark launches new AI research podcast hosted by CAIO, Jeremy Bradley. Inside the Algorithm debuts on 6th May with an episode exploring how simulation, operational research and AI are reshaping NHS planning. LONDON, 4th May 2026 - Cambridge Spark, a leading provider of data and AI education and upskilling, today announced the launch of Inside the Algorithm, a new podcast hosted by Chief AI Officer Jeremy Bradley. The show launches on 6th May and will publish fortnightly alongside Cambridge Spark's flagship podcast, Data & AI Mastery, in the same feed. Where Data & AI Mastery explores AI transformation at the enterprise and C-suite levels, Inside the Algorithm shifts the lens into the scientific research, technical breakthroughs and academic thinking shaping the future of artificial intelligence. Each episode, Bradley sits down with leading researchers, data scientists and technical experts working at the frontier of the field to democratise access to frontier AI knowledge without diluting its intellectual integrity. The show is designed for an informed, technically ambitious audience, including AI researchers, advanced practitioners building and deploying sophisticated AI systems, and AI leaders seeking a deeper understanding of the science driving innovation in the field. The debut episode features Lucy Morgan, who leads the simulation team at the NHS Strategy Unit and holds a visiting research position in simulation and stochastic modelling at Lancaster University Management School. Morgan is a joint winner of the OR Society Doctoral Award 2019 and recipient of the 2025 KD Tocher Award for best paper in the Journal of Simulation. The conversation explores how operational research, simulation and AI are being combined to address some of the NHS's most complex planning challenges and what it really takes to make an analytical model work in the real world. Central to the discussion is Morgan's work developing a renal replacement therapy planning model, originally built with the Midlands Kidney Network, which is now being rolled out across NHS regions nationally with ambitions to become a UK-wide planning tool by 2029. The episode also examines Morgan's current research focus: model reuse and reproducibility, and specifically how AI could help standardise documentation and build the trust needed to deploy analytical models across new organisations at scale. About Inside the Algorithm Inside the Algorithm is a podcast produced by Cambridge Spark, hosted by Chief AI Officer Jeremy Bradley. New episodes publish fortnightly, alternating with Data & AI Mastery in the same podcast feed. The show is available on all major podcast platforms, including Spotify, Apple Podcasts and YouTube. | Listen and follow About Cambridge Spark Cambridge Spark is a leading provider of transformational data and AI education, upskilling and career development. Working with organisations across the UK and beyond, Cambridge Spark helps teams and individuals build the skills needed to harness the power of data and AI. Founded by Dr Raoul-Gabriel Urma, Cambridge Spark is headquartered in London. To keep up to date with upcoming industry changes, subscribe to its mailing list. For more information, please contact: Cambridge Spark Abigail Leachman, Head of Marketing Operations [email protected] Upskill your workforce. Upskill your workforce and accelerate your data transformation with expert technical programmes designed to create impact.

Cambridge Spark
Jul 23rd, 2025
Cambridge Spark Launches AI Leader Apprenticeship to Equip Managers for AI Transformation

Cambridge Spark launches AI Leader Apprenticeship to equip managers for AI transformation.

AI Literacy Institute
Apr 22nd, 2025
AI Literacy Review - April 22, 2025

Lloyds Bank is partnering with Cambridge Spark for a 6-month training program for senior leaders to boost their AI skills, with hands-on sessions along with real-world projects.

Cambridge Spark
Apr 22nd, 2025
PRESS RELEASE: Virgin Atlantic Becomes First Airline to Launch AI Champion Apprenticeship with Cambridge Spark

Cambridge Spark has recently launched the UK's first Level 6 AI Engineer apprenticeship, partnering with 27 organisations, and was named in The Sunday Times 100 Fastest-Growing Companies in 2024.