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- Tasks: Design and deploy cutting-edge AI/ML solutions for a transformative digital programme.
- Company: Join a forward-thinking tech company at the forefront of digital modernisation.
- Benefits: Competitive rate, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Be part of a revolutionary project that shapes the future of AI technology.
- Qualifications: Experience in AI/ML development and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Location: Alderley Park, Cheshire (Hybrid – 2–3 days onsite / 2–3 days remote)
Duration: May 2026 – May 2027
Rate: Competitive
We are delivering Phase 2 of a Progressive Digital Modernisation programme, focused on the design, development, and deployment of scalable AI/ML and Generative AI solutions on Azure. This programme centres on modernising applications using cloud‑native AI services and enabling enterprise‑scale adoption of advanced AI capabilities.
We are seeking an experienced Senior AI / ML Engineer to help deliver production‑grade AI solutions across this transformation initiative.
Role Overview
You will be responsible for designing, building, and deploying end‑to‑end AI/ML and Generative AI solutions for production environments. The role will focus on Agentic AI solutions, RAG pipelines, LLM integrations, and cloud‑native AI architecture, working closely with engineering, data, and business stakeholders.
Essential Skills & Experience
- Proven experience designing, developing, and deploying AI/ML and Generative AI solutions into production
- Hands‑on experience building Agentic AI solutions
- Strong Python development skills with experience using AI/ML frameworks
- Experience with Azure AI Foundry and Azure OpenAI
- Strong experience building and optimising:
- RAG pipelines
- LLM integrations
- Agent‑based workflows
- Model selection and fine‑tuning
- Prompt engineering
- Enterprise system integration
- Data analysis
- Feature engineering
- Machine learning
- Statistics
Desirable Skills
- Advanced prompt engineering and LLM fine‑tuning
- Experience integrating AI solutions within complex enterprise environments
- Strong understanding of cloud‑native AI architecture best practices
Locations
AI Engineer in Cheshire, Macclesfield employer: Undisclosed
Contact Detail:
Undisclosed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Cheshire, Macclesfield
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. Attend meetups or webinars related to AI and engage with industry professionals – you never know who might have a lead on your next role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving Azure and Generative AI. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and scenarios. Practice explaining your past projects and how they relate to the job description. We want you to be confident and ready to impress when discussing your experience with Agentic AI solutions and RAG pipelines!
✨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 seeing candidates who are proactive about their job search – it shows you’re serious about landing that AI Engineer role!
We think you need these skills to ace AI Engineer in Cheshire, Macclesfield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior AI/ML Engineer. Highlight your experience with AI/ML solutions, especially any hands-on work with Azure and Generative AI. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed, built, or deployed AI solutions. If you've worked on Agentic AI or RAG pipelines, let us know! This gives us a clear picture of your capabilities and how you can contribute to our digital modernisation programme.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about AI and how your experience aligns with our goals. We love seeing enthusiasm and a good fit for our team culture, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Undisclosed
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML and Generative AI solutions. Be ready to discuss your hands-on experience with Python, Azure AI Foundry, and any relevant frameworks. Prepare examples of projects where you've designed and deployed production-grade AI solutions.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle hypothetical scenarios or case studies related to Agentic AI solutions and RAG pipelines. This is your chance to demonstrate how you approach complex problems and integrate AI within enterprise environments.
✨Communicate Clearly with Stakeholders
Since you'll be working closely with engineering, data, and business stakeholders, practice explaining technical concepts in a way that's easy for non-technical folks to understand. This will show that you can bridge the gap between tech and business needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's digital modernisation programme and their expectations for the role. This not only shows your interest but also helps you gauge if the company culture and project align with your career goals.