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- Tasks: Design and deploy cutting-edge AI/ML solutions in a dynamic digital transformation project.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a fast-paced, innovative environment.
- Why this job: Be part of a transformative programme 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.
Do you have the skills to fill this role? Read the complete details below, and make your application today.
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 OverviewYou 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
- Model selection and fine-tuning
- Prompt engineering
- Enterprise system integration
- Data analysis
- Feature engineering
- Machine learning
- Statistics
- Advanced prompt engineering and LLM fine-tuning
- Experience integrating AI solutions within complex enterprise environments
- Strong understanding of cloud-native AI architecture best practices
AI Engineer in Poynton employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Poynton
✨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 hunt for opportunities. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving Azure and Generative AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨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 role you're applying for. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace AI Engineer in Poynton
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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our digital modernisation programme. Let us know what excites you about this opportunity!
Showcase Relevant Projects: If you've worked on projects involving Agentic AI solutions or RAG pipelines, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
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’s super easy – just follow the prompts!
How to prepare for a job interview at Experis
✨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 building Agentic AI solutions and optimising RAG pipelines. The more specific examples you can provide, the better!
✨Show Off Your Python Skills
Since strong Python development skills are essential for this role, be prepared to talk about your experience using AI/ML frameworks. You might even want to bring a coding example or two to demonstrate your expertise during the interview.
✨Familiarise Yourself with Azure
As this position involves working with Azure AI Foundry and Azure OpenAI, make sure you understand how these platforms work. Highlight any previous projects where you've integrated AI solutions within cloud-native architectures to show you're the right fit.
✨Prepare for Technical Questions
Expect to face some technical questions related to model selection, fine-tuning, and prompt engineering. Brush up on your data science fundamentals, and be ready to explain your thought process when tackling complex problems in AI.