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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 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: Proven 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 Adlington employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Adlington
✨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 a lead or can refer you to someone hiring.
✨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 your technical knowledge and problem-solving skills. Be ready to discuss your experience with Agentic AI solutions and RAG pipelines, as these are hot topics in the industry right now.
✨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 Adlington
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 relevant projects or achievements!
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 team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Since this role requires strong Python development skills and experience with Azure, make sure to mention specific projects where you've used these technologies. We’re keen to see your hands-on experience in action!
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. 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 proficiency. You might be asked to solve a coding problem or explain how you've used Python in your previous projects. Have some examples ready that highlight your experience with AI/ML frameworks.
✨Understand Cloud-Native Architecture
Familiarise yourself with cloud-native AI architecture best practices, especially in relation to Azure. Be prepared to discuss how you've integrated AI solutions within complex enterprise environments and how you approach model selection and fine-tuning.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their digital modernisation programme and how your role as a Senior AI/ML Engineer fits into their vision. This shows your genuine interest and helps you assess if it’s the right fit for you.