Full Stack AI Engineer

Rolls-Royce
Derby, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 55K

Job location

Derby, United Kingdom

Tech stack

Artificial Intelligence
Azure
Cloud Computing
Software Quality
Continuous Integration
Data as a Services
Information Engineering
Github
Python
Node.js
Azure
TypeScript
Data Processing
React
FastAPI
Machine Learning Operations
Api Design

Job description

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.

Requirements

Do you have experience in TypeScript?, * 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., 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

Benefits & conditions

Salary: we anticipate paying a salary in the £42,000 - £55,150 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 anticipate a salary of £42,000 - £55,150 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 - £2200, 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
  • £250 - 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.

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