At a Glance
- Tasks: Develop and support cutting-edge AI solutions, including LLM applications and pipelines.
- Company: Join a leading tech group focused on innovative AI engineering.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career progression opportunities.
- Why this job: Make a real impact in AI while collaborating with top industry experts.
- Qualifications: 2-3 years in AI or ML Engineering, strong Python skills, and cloud platform experience.
The predicted salary is between 70000 - 90000 £ 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
- 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
- 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
- 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
- Work closely with Senior Data Scientists to support productionisation of AI‑driven analytical and decision‑making 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
- 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
Qualifications
- 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 employer: JD GROUP
JD Group is an exceptional employer for AI Engineers, offering a dynamic work environment that fosters innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to learn from experienced Senior AI Engineers while contributing to cutting-edge AI solutions that drive business success. Located in a vibrant area, JD Group promotes a culture of continuous learning and responsible AI practices, ensuring that your contributions are meaningful and impactful.
