Job Information
Job Title: Software Engineer
Salary: £39,200 – £50,900
Location: Cambridge / Hybrid
Contract: Fixed Term / Secondment – 15 months
Hours: Full time – 35 hours per week
About the role
We’re looking for a Software Engineer to join our Content Tools team. You’ll help build and improve AI‑driven applications that power how learning and assessment content is created and managed. This is a hands‑on role with real impact, working on live systems used across the business.
We are Cambridge University Press & Assessment, a world‑leading academic publisher and assessment organisation and a proud part of the University of Cambridge.
You’ll work as part of a collaborative engineering team, contributing to the development of a critical internal application built using Retool, n8n, and LLM‑based workflows. Your focus will be on building features, improving performance, and helping scale AI‑driven content solutions that support our wider strategy.
Key responsibilities and accountabilities
- Develop, test and maintain scalable software solutions within the content tools domain
- Build new features and resolve bugs in production applications
- Work closely with engineers, product owners, and SMEs to deliver practical solutions
- Implement and integrate AI technologies, including Large Language Models (LLMs)
- Apply best practice to ensure security, scalability, and performance standards
- Participate in code reviews and contribute to engineering quality standards
- Identify technical risks and help resolve them early
- Troubleshoot and debug complex issues independentlyStay up to date with AI, LLMs, and software engineering trends
Team and collaboration
- Contribute to a collaborative, knowledge‑sharing engineering culture
- Take part in stand‑ups, planning, retrospectives, and design sessions
- Communicate progress, challenges, and solutions clearly to the team
About You
You will bring solid engineering fundamentals and a genuine interest in AI‑driven development.
Essential requirements
- Strong grounding in computer science fundamentals, data structures and algorithms
- Experience building and delivering software in a professional environment
- Proficiency in at least one language such as Python or TypeScript
- Good understanding of AI/ML concepts, especially Large Language Models (LLMs)
- Experience working in an agile, team‑based environment
- Strong problem‑solving skills and ability to work independently on defined tasksClear communication skills with the ability to explain technical concepts
- Familiarity with SQL and relational databases
Desirable criteria
- Experience with tools like Retool or workflow automation platforms such as n8n
- Exposure to AWS (e.g., S3, RDS) or cloud‑based systems
- Experience working with PostgreSQL
- Hands‑on experience deploying AI‑/LLM‑based application
We are a Disability Confident (DC) employer
We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme’s Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long‑term health condition, and who best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable and/or appropriate, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long‑term health condition.
Visa sponsorship
Cambridge University Press & Assessment is unable to sponsor this role under the Skilled Worker Visa route, as it does not meet the minimum skill requirements.
Rewards and benefits
We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world‑class, flexible rewards package, featuring family‑friendly and planet‑friendly benefits including:
- 28 days annual leave plus bank holidays
- Private medical and Permanent Health Insurance
- Discretionary annual bonus
- Group personal pension scheme
- Life assurance up to 4× annual salary
- Green travel schemes
Accommodations & background checks
If you require any reasonable adjustments during the recruitment process due to a disability or a long‑term health condition, we will do our best to accommodate your needs. Successful applicants will be subject to satisfactory background checks including DBS.
Equal opportunity statement
We are committed to an equitable recruitment process. All applications must be submitted via our official online application procedure to ensure access for all applicants.
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