At a Glance
- Tasks: Build AI systems for government and public health, turning prototypes into scalable applications.
- Company: Join a dedicated public sector organisation making a real difference.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Ideal for those passionate about civic tech and making a positive impact.
- Why this job: Be at the forefront of AI technology, impacting public services and decision-making.
- Qualifications: Strong Python skills and 3+ years in backend services or full stack delivery required.
The predicted salary is between 60000 - 80000 £ per year.
Location: Hybrid, London.
Job Type: Contract and Perm opportunities.
On behalf of our client, a dedicated public sector organisation, we are seeking an AI Systems Engineer to build artificial intelligence native decision systems for government, defence, and public health. You will turn quantitative models into secure, compliance ready products and packaged desktop applications for scaled public sector delivery. This is a shipping first role across conventional systems and agent assisted platforms.
What You Will Do & Own
- Turn quantitative prototypes into reusable tools, services, and cloud hosted or local desktop applications that move from testing to scaled agency rollout.
- Build strict public sector hardening: authentication, role based access control (RBAC), observability, security, and cost controls.
- Embed evaluation and regression testing into the release cycle to measure model logic and agent behaviour.
- Own data flows, APIs, model serving, front end applications, and continuous integration and continuous delivery pipelines.
- Own the agentic harness layer, evaluation frameworks, control plane behaviour, and tool integration.
Requirements
- Strong Python skills plus fluency in TypeScript, JavaScript, front end delivery, cloud engineering, or infrastructure automation.
- Minimum 3 years of hands on experience in backend services, APIs, full stack delivery, data pipelines, model serving, or agentic orchestration.
- Solid engineering judgement for enterprise hardening, including auth, RBAC, security, and regression testing for machine learning workflows.
- Minimum 3 years of stakeholder facing delivery, moving workflow systems past the proof of concept stage.
- Bachelor degree in computer science, engineering, mathematics, physics, economics, or related field.
- Must be a British Citizen.
Preferred Qualifications
- Experience with public sector, government, civic tech, or defence workflows.
- Experience with tool using systems, retrieval pipelines, or agent orchestration.
- Background building expert facing interfaces or decision support systems.
- Familiarity packaging desktop applications for Windows heavy environments.
AI Engineer in Slough employer: IO Associates
Join a forward-thinking public sector organisation in London, where your expertise as an AI Engineer will contribute to impactful projects in government, defence, and public health. We foster a collaborative work culture that prioritises innovation and employee growth, offering both contract and permanent opportunities with flexible hybrid working arrangements. With a commitment to professional development and a focus on meaningful contributions, this role provides a unique chance to shape the future of public sector technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI systems and public sector applications. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the specific needs of the public sector. Be ready to discuss how your experience aligns with their goals, especially around security and compliance.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Engineer in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your Python skills and any experience with TypeScript or JavaScript. We want to see how your background fits with the public sector focus, so don’t hold back on relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about building AI systems for the public sector. Share specific examples of your past work that align with the job description, especially around security and compliance.
Showcase Your Projects:If you’ve worked on any relevant projects, make sure to showcase them! Whether it’s a GitHub repo or a portfolio, we love seeing practical examples of your skills in action, especially those involving data flows and APIs.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at IO Associates
✨Know Your Tech Inside Out
Make sure you brush up on your Python, TypeScript, and JavaScript skills. Be ready to discuss how you've used these languages in past projects, especially in backend services and APIs. The more specific examples you can provide, the better!
✨Understand the Public Sector Landscape
Familiarise yourself with the public sector, government, and defence workflows. Research recent projects or initiatives in these areas that involve AI. This will show your potential employer that you're not just technically skilled but also understand the context in which you'll be working.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to AI systems engineering. Think about how you would approach turning a quantitative prototype into a scalable application, and be ready to explain your thought process clearly.
✨Showcase Your Stakeholder Management Skills
Since this role involves stakeholder-facing delivery, be prepared to discuss your experience in managing relationships and moving projects past the proof of concept stage. Highlight any successful collaborations and how you navigated challenges with stakeholders.
