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 work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent learning and career advancement opportunities.
- Why this job: Make an impact in the AI field while working with top professionals.
- 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.
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: JD GROUP
Contact Detail:
JD GROUP 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 field on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and generative AI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. Practising with friends or using online platforms can really boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application easier for us!
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 for the role.
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’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at JD GROUP
✨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 previous projects and how you've applied these technologies in real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experience you have in cross-functional teams and how you communicated technical concepts effectively.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Think of specific challenges you've faced in AI engineering and how you approached them. This will show your ability to make technical decisions and contribute to solution delivery.
✨Stay Updated on AI Trends
Show your passion for AI by discussing recent developments in the field. Mention any new tools or platforms you've been exploring and how they could apply to the role. This demonstrates your commitment to continuous learning and capability development.