Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and support cutting-edge AI solutions with a focus on generative AI.
- Company: Join a leading tech group dedicated to innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Make an impact in AI engineering while learning from industry experts.
- Qualifications: 2-3 years in AI or ML engineering, strong Python skills, and cloud experience.
The predicted salary is between 45000 - 55000 ÂŁ per year.
The AI Engineer is responsible for developing, deploying and supporting production‑grade AI and generative AI solutions across JD Group. Reporting into the Head of Data Science & AI, the role focuses on hands‑on engineering delivery of AI systems, including LLM‑based applications, retrieval‑augmented generation pipelines and supporting AI services. Working closely with Senior AI Engineers, Senior Data Scientists, Data Engineering, Platform and Product teams, the AI Engineer contributes to the build and operation of scalable, secure and cost‑effective AI solutions embedded into core business processes. This role sits between Junior and Senior AI Engineer, with increasing accountability for solution delivery, production readiness and technical decision‑making within defined problem areas.
Responsibilities
- AI Solution Development
- Design, build and support AI and GenAI solutions under the guidance of Senior AI Engineers
- Develop LLM‑based applications, RAG pipelines and AI services using established architectures and patterns
- Implement inference pipelines, APIs and microservices to support AI‑driven use cases
- Contribute to technical decisions within defined components or services
- Production Readiness, LLMOps & MLOps
- Support deployment of AI systems into production environments
- Implement monitoring, logging and basic observability for AI services
- Ensure code, configurations and pipelines are version‑controlled, tested and documented
- Follow established LLMOps, MLOps and CI/CD standards and practices
- Assist with performance optimisation, cost management and reliability improvements
- Governance, Risk & Responsible AI
- Build AI systems in line with responsible AI principles, security and data protection requirements
- Support model evaluation, testing and quality assurance activities
- Ensure AI services comply with agreed governance, auditability and risk controls
- Collaboration & Stakeholder Engagement
- Work closely with Senior Data Scientists to support productionisation of AI‑driven analytical and decisioning solutions
- Collaborate with Data Engineering, Platform and DevOps teams as part of delivery squads
- Communicate technical concepts, progress and risks clearly within the delivery team
- Support Product and Engineering teams in integrating AI capabilities into applications and workflows
- Learning & Capability Development
- Continuously develop skills in AI engineering, generative AI, cloud platforms and modern engineering practices
- Learn from Senior AI Engineers through design reviews, code reviews and delivery feedback
- Contribute to shared components, documentation and reusable assets as capability grows
- Stay informed on developments in AI tooling and platforms, applying learning where appropriate
Role Objectives & KPIs
- Deliver high‑quality AI engineering outputs that support production AI solutions
- Successful contribution to end‑to‑end delivery of AI initiatives
- Reliability, performance and maintainability of AI services owned
- Adherence to engineering, security and governance standards
- Positive feedback from Senior AI Engineers and delivery stakeholders
- Demonstrated progression in technical capability, autonomy and delivery ownership
Skills and Experience
- 2-3 years experience in AI Engineering, ML Engineering or Software Engineering roles
- Practical experience building and supporting AI or ML‑driven applications
- Good Python skills and experience developing backend services or pipelines
- Understanding of LLMs, generative AI concepts and RAG patterns
- Experience working with cloud platforms, with GCP preferred
- Familiarity with CI/CD, version control and modern engineering practices
- Ability to work collaboratively in cross‑functional teams
- Experience in large‑scale, multi‑brand, or global enterprises; retail experience is advantageous
- Curious, delivery‑focused and keen to learn
AI Engineer in Bury St Edmunds employer: Naylor's Equestrian Llp
Contact Detail:
Naylor's Equestrian Llp Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Bury St Edmunds
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those already working at JD Group. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially any LLM-based applications or pipelines you've worked on. This is your chance to shine and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the technical interview by brushing up on your Python skills and understanding of MLOps practices. Be ready to discuss how you've implemented monitoring and logging in past projects—this will impress the hiring team!
✨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, it shows you're genuinely interested in joining the team at JD Group.
We think you need these skills to ace AI Engineer in Bury St Edmunds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your AI engineering projects, especially those involving LLMs and generative AI, to show us you’re the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background aligns with our needs. Share specific examples of your work that demonstrate your problem-solving skills and technical expertise.
Showcase Your Technical Skills: Don’t forget to mention your Python skills and any experience with cloud platforms like GCP. We want to see how you’ve applied these skills in real-world scenarios, so be specific about your contributions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Naylor's Equestrian Llp
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts, especially LLMs and generative AI. Be ready to discuss your past projects and how you've implemented AI solutions. This will show that you're not just familiar with the theory but have practical experience too.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be prepared to talk about your experience in cross-functional collaboration. Share specific examples of how you've worked with data scientists or engineers to deliver a project successfully.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Think of scenarios where you've had to troubleshoot issues in AI systems or optimise performance. Highlight your thought process and the steps you took to resolve challenges.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the team’s current projects or the company’s approach to responsible AI. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.