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For Companies At a Glance
- 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
AI Engineer employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨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. 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 crowd. Don't forget to share it on LinkedIn!
✨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. Practise common interview questions and even consider mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Tailor your application to highlight your experience with cloud-native AI architecture and model fine-tuning. Let’s get you that dream job together!
We think you need these skills to ace AI Engineer
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 the 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 in our team!
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 with AI/ML frameworks. You might even want to bring a coding example or two to demonstrate your expertise during the interview.
✨Understand Azure Inside Out
Familiarise yourself with Azure AI Foundry and Azure OpenAI, as these are key components of the job. Be ready to explain how you've used these tools in past projects and how they can be leveraged for cloud-native AI architecture.
✨Communicate with Confidence
This role involves working closely with various stakeholders, so practice articulating your ideas clearly. Prepare to discuss how you would integrate AI solutions within complex enterprise environments and ensure you can convey technical concepts in an accessible way.