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- Tasks: Design and deploy cutting-edge AI/ML solutions for a transformative digital programme.
- 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: Dynamic role with potential for significant career advancement.
- Why this job: Be part of a groundbreaking 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, Warrington employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Cheshire, Warrington
✨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 that perfect 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 give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with RAG pipelines, LLM integrations, and cloud-native architectures. Practising common interview questions can help you feel more confident when the time comes.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive roles listed there, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team at StudySmarter!
We think you need these skills to ace AI Engineer in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML and Generative AI solutions. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience with Python and Azure!
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. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve RAG pipelines or LLM integrations. Share links or summaries if possible!
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 to do!
How to prepare for a job interview at Experis
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML concepts, especially around Agentic AI solutions and RAG pipelines. Be ready to discuss your hands-on experience with Python and any frameworks you've used. This will show that you're not just familiar with the theory but can apply it in real-world scenarios.
✨Showcase Your Projects
Prepare to talk about specific projects where you've designed, developed, and deployed AI solutions. Highlight your role in these projects, the challenges you faced, and how you overcame them. This gives interviewers a clear picture of your capabilities and problem-solving skills.
✨Understand the Company’s Goals
Research the company’s digital modernisation programme and understand how your role as an AI Engineer fits into their vision. Being able to articulate how your skills can contribute to their goals will set you apart from other candidates.
✨Ask Smart Questions
Prepare insightful questions about the team dynamics, the technologies they use, and their approach to cloud-native AI architecture. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.