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- Tasks: Design and build innovative AI products for clean energy on Azure.
- Company: Join a forward-thinking organisation at the forefront of UK green innovation.
- Benefits: Competitive salary, performance bonuses, flexible working, and generous holiday allowance.
- Other info: Inclusive culture with opportunities for career growth and continuous learning.
- Why this job: Make a real impact in the transition to a low-carbon future with cutting-edge technology.
- Qualifications: 3+ years in full-stack engineering and experience with AI/ML systems.
The predicted salary is between 42000 - 55150 ÂŁ per year.
Location: Hybrid, based from Manchester or Derby with 2-3 days in the office per week.
Salary: we anticipate paying a salary in the ÂŁ42,000 - ÂŁ55,150 range.
Our mission is to deliver clean, affordable energy for all. Our Small Modular Reactor (SMR) provides a British solution to a global energy challenge, and we are building world‑class technology to accelerate a low‑carbon future. Join a programme at the forefront of UK green innovation.
Our Digital, Data & AI function is shaping the intelligence layer that underpins RR‑SMR’s engineering, safety, and programme delivery. We design secure digital products that strengthen certainty, accelerate schedules, and unlock the value of our enterprise data through cutting‑edge AI capabilities.
We’re looking for a Full Stack AI Engineer to design, ship, and run secure AI products on our Azure platform accelerating RR‑SMR’s Digital Thread, DaaS, and AI ambitions. You’ll work in product squads with domain experts, owning features end‑to‑end and measuring impact against our roadmap value drivers: build certainty, schedule optimisation, safety, security, and compliance. Experience with Azure OpenAI/Azure ML, RAG, and modern web stacks is key.
We’ll need you to:
- Design, build and operate full‑stack, cloud‑native AI products on Azure, integrating securely with enterprise systems.
- Develop retrieval‑augmented and tool‑enabled AI agents with strong governance, auditability and content‑safety controls.
- Implement MLOps and AIOps practices, including evaluation, monitoring, lineage and Infrastructure‑as‑Code automation.
- Embed safety, security and compliant delivery across all work, including correct data handling and documentation.
As you can see, this is a pivotal role, and you’ll bring a collaborative mindset, systems thinking and first‑class engineering craft to help shape our AI future.
Essential Skills and Experience
- Full‑stack engineering in production (3+ years): modern front end (e.g., React/TypeScript), back end (Python/FastAPI/Node), and API design.
- AI/ML engineering: building RAG/agentic systems, vector search, prompt orchestration, evaluation, and safety patterns.
- Cloud & platform: Azure (Azure ML, Azure OpenAI, Functions/AKS), data services, identity & access controls; CI/CD (GitHub or Azure DevOps).
- Data engineering fluency: pipelines, eventing, schema design, governance, and observability for AI features.
- Software quality & operability: testing (unit/integration), performance, telemetry, SLOs, and on‑call participation.
- Experience delivering in regulated or safety‑conscious environments with strong documentation discipline.
What’s in it for you?
We anticipate a salary of ÂŁ42,000 - ÂŁ55,150 dependent on the skills, values, and knowledge you bring. We also offer excellent benefits including:
- Bonus - Performance related bonus of up to 12.5%
- Benefits Allowance - ÂŁ2200, enabling you to create a bespoke package
- Pension - 12% employer and 6% employee contributions.
- Holidays - 28 days holiday (+ public holidays) and the ability to buy or sell up to 4 days
- Private Medical Insurance - BUPA single cover health care
- Life Assurance - 6x pensionable pay
- ÂŁ250 - One-off payment for new starters for home office purchases
Why Join Us?
You’ll be joining a forward-thinking organisation that values transparency, fairness, and innovation. We offer:
- A flexible, inclusive, and supportive working environment.
- Opportunities for career growth in a rapidly scaling business.
- A culture that values diversity, innovation, and continuous learning.
We are an equal opportunities employer and welcome applications from all backgrounds. Inclusivity is important to us, and as a Disability Confident organisation, we are committed to fair, supportive, and continually improving recruitment practices that ensure everyone has the opportunity to thrive.
Confidence can sometimes hold us back from applying for a job. But we'll let you in on a secret: there's no such thing as a 'perfect' candidate. If you feel you meet 75% of the requirements for this role, we would love to hear from you. Also, if you are considering a career move or a sector-jump, please get in touch – we welcome applications from people with transferable skills.
Our Application Process
Due to the safety regulations within the nuclear industry, applicants will be required to participate in additional screening. These are:
- Obtaining Baseline Personnel Security Standard (BPSS) clearance
- Satisfactory completion of a Disclosure and Barring Service (DBS) check
- Satisfactory completion of a basic financial probity check
Full Stack AI Engineer in Manchester employer: Rolls-Royce SMR Limited
Contact Detail:
Rolls-Royce SMR Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack AI Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and cloud technologies. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to full-stack AI engineering. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Full Stack AI Engineer in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with full-stack engineering and AI/ML. We want to see how your skills align with our mission of delivering clean, affordable energy!
Showcase Your Projects: Include examples of your previous work, especially any projects involving Azure or AI products. This helps us understand your hands-on experience and how you can contribute to our innovative team.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to describe your skills and experiences, so we can easily see what you bring to the table. Remember, less is often more!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our team!
How to prepare for a job interview at Rolls-Royce SMR Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Azure, Python, and React. Brush up on your full-stack engineering skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your AI Knowledge
Prepare to talk about your experience with AI/ML engineering, especially around building retrieval-augmented systems and MLOps practices. Have examples ready that demonstrate your understanding of safety patterns and governance in AI.
✨Demonstrate Collaboration Skills
This role emphasises teamwork, so be prepared to share experiences where you’ve worked in product squads or collaborated with domain experts. Highlight how you’ve contributed to a project’s success through effective communication and collaboration.
✨Understand the Company’s Mission
Familiarise yourself with the company’s mission to deliver clean, affordable energy. Be ready to discuss how your skills and values align with their goals, and express your enthusiasm for contributing to a low-carbon future.