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- Tasks: Design and deploy cutting-edge AI/ML solutions in a dynamic hybrid environment.
- Company: Join a forward-thinking company leading digital transformation with AI.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Exciting projects with potential for career advancement until May 2027.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- 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
AI Engineer in Warrington employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in 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. You never know who might have the inside scoop on a role that’s perfect for you.
✨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 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. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, it’s the best way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Engineer in 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 Agentic AI solutions or RAG pipelines. Include links 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 this exciting opportunity. Don’t miss out!
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. They’ll want to see that you can talk the talk and walk the walk!
✨Showcase Your Python Skills
Since strong Python development skills are essential, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to AI frameworks. It’s all about showing you can build and deploy production-grade solutions.
✨Understand Azure Inside Out
Familiarise yourself with Azure AI Foundry and Azure OpenAI. Be prepared to discuss how you've used these tools in past projects. They’ll be looking for someone who can seamlessly integrate AI solutions within complex enterprise environments, so show them you know your way around Azure!
✨Communicate Clearly with Stakeholders
This role involves working closely with engineering, data, and business stakeholders. Practice explaining complex AI concepts in simple terms. Being able to communicate effectively will set you apart, as they need someone who can bridge the gap between technical and non-technical teams.