Software Engineer, Python, AI Solutions

University of the Built Environment

. Design, develop, test, deploy, and maintain robust software applications using Python and related technologies .

Posted 10/15/2026full-timeReading • United KingdomMid-LevelSenior💰 £40,000 - £45,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python development and AI-enabled solutions, with a strong focus on secure coding practices and compliance with governance standards. Proven ability to translate business requirements into technical solutions while maintaining high-quality software engineering standards.

Highest-signal resume keywords

Python DevelopmentAI-Enabled SolutionsAPI DevelopmentCloud Platforms (Azure)CI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Development LifecycleGenerative AI TechnologiesAutomated TestingSecure Coding PracticesSoftware Engineering Best PracticesData Services DevelopmentMachine Learning ConceptsTechnical DocumentationApplication Performance MonitoringVulnerability Remediation

Soft Skills

Collaboration with StakeholdersTechnical Design DiscussionsCommunication SkillsProblem-Solving SkillsCommitment to Positive Outcomes

Tools & Technologies

Microsoft CopilotMS Office SuiteCI/CD ToolsCloud-Native Application ArchitecturesAI-Assisted Development Tools

Certifications & Qualifications

Degree in Computer ScienceContinuing Professional Development in Software Engineering

Industry Keywords

Software SecurityData ProtectionAccessibility RequirementsGovernance ProcessesUser Acceptance Testing

Tech Stack

Tools & technologies

AzureCloudPython

About the role

Key responsibilities & impact

Design, develop, test, deploy, and maintain robust software applications using Python and related technologies
Produce high-quality, secure, and maintainable code following agreed development standards
Participate in the full software development lifecycle from requirements gathering through support
Develop APIs, integrations, and backend services for business applications
Design and implement AI-enabled solutions delivering measurable business value
Evaluate and integrate Generative AI technologies, including Microsoft Copilot and AI-assisted development tools
Develop and maintain AI-powered workflows, automation solutions, and intelligent applications
Ensure AI implementations meet governance, security, privacy, and ethical standards
Collaborate with business stakeholders to understand requirements and translate them into technical solutions
Contribute to technical design discussions and architectural decisions
Provide technical advice on software engineering and AI adoption opportunities
Perform code reviews and contribute to development best practices
Partner with stakeholders during Functional and User Acceptance Testing to validate requirements and ensure quality releases
Create and maintain technical documentation
Design and execute automated test suites within CI/CD pipelines
Monitor application performance and resolve issues promptly
Evaluate emerging technologies and recommend improvements
Ensure compliance with organisational security policies and data protection requirements
Implement secure coding practices and support vulnerability remediation
Contribute to AI and software development governance processes
Undertake related duties and occasional out-of-hours work for upgrades or changes

Requirements

What you’ll need

Degree in Computer Science, Information Systems, or a related discipline, or equivalent experience
Evidence of continuing professional development in software engineering, Python development, and/or AI/ML
Experience designing, developing, and supporting enterprise software applications and services
Experience developing, integrating, and supporting AI-enabled solutions, including generative AI, machine learning, or LLM-based services
Experience developing solutions using Python and other relevant programming languages, frameworks, and development tools
Experience developing and consuming APIs, integrations, and data services
Experience working with cloud platforms, preferably Azure, and cloud-native application architectures
Experience applying modern software engineering practices, including source control, automated testing, and CI/CD
Experience translating user, business, or operational requirements into technical solutions
Strong software engineering skills producing secure, maintainable, and scalable code
Strong knowledge of Python and contemporary software development frameworks and tools
Knowledge of AI, machine learning, and generative AI concepts, including practical application of LLM technologies
Understanding of software security, data protection, and accessibility requirements relevant to application development
Confidence using MS Office, including Teams, Outlook, Word, Excel, and PowerPoint
Alignment with the University’s core values and growth mindset approach
Commitment to delivering positive outcomes for students
Preparedness to undertake mandatory online training covering safeguarding, Prevent, anti-harassment, and bullying requirements

Benefits

Comp & perks

26 days paid holiday, rising to 28 with service
Paid bank/public holidays
Up to five paid closure days, typically between Christmas and New Year
Holiday buy and sell scheme
Paid Wellbeing Day when applicable
People’s Pension auto-enrolment default salary sacrifice scheme
Life assurance (death in service) cover
Family-friendly statutory leave with enhanced pay available from day one for some leave types
Access to Tax-Free Childcare
Employee Assistance Programme
Thrive Mental Wellbeing app
Mental Health First Aiders
Wellbeing policy focused on five pillars of wellbeing
Cycle to Work salary sacrifice scheme
Electric Vehicle salary sacrifice scheme
Locked bicycle sheds
Employer-funded Health Cash Plan (Simplyhealth)
Voluntary dental insurance (Unum)
Charity giving options including one voluntary paid day per annum
Lifestyle discounts and everyday savings
LinkedIn Learning and other learning platforms
Hybrid working split between the Horizons, Reading office and home, with a negotiable schedule including at least two working days weekly in Horizons
Flexible start and finish times