At a Glance
- Tasks: Design and deploy cutting-edge AI/ML solutions in a hybrid work environment.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a dynamic and supportive atmosphere.
- Why this job: Be part of a transformative 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 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.
Key Responsibilities:- 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 LLM integrations
- Agent‑based workflows
- Model selection and fine‑tuning
- Solid data science fundamentals, including data analysis, machine learning, and 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 employer: Undisclosed
At our Alderley Park location, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As an AI Engineer, you will benefit from competitive rates, flexible hybrid working arrangements, and ample opportunities for professional growth within a cutting-edge digital transformation programme. Join us to be part of a forward-thinking team dedicated to delivering impactful AI solutions while enjoying the unique advantages of working in a vibrant and supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨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. Practice common AI/ML interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI/ML solutions, especially any work you've done with Azure and Python. 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 great fit for our team. Don’t forget to mention any specific projects that relate to the job description.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those involving Agentic AI solutions or LLM integrations. It helps us understand your hands-on experience!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It streamlines the process for us and ensures your application lands in the right hands. Plus, it shows you're keen on joining StudySmarter!
How to prepare for a job interview at Undisclosed
✨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 using frameworks like Python. They’ll want to see that you can talk the talk and walk the walk!
✨Showcase Your Azure Skills
Since this role involves working with Azure AI Foundry and Azure OpenAI, it’s crucial to highlight your experience with these platforms. Prepare specific examples of how you've used Azure in past projects, especially in deploying scalable AI solutions.
✨Understand the Business Impact
This position requires collaboration with engineering, data, and business stakeholders. Be prepared to explain how your AI solutions can drive business value. Think about how your work has positively impacted previous projects or companies.
✨Prepare for Technical Questions
Expect some deep dives into technical topics like LLM integrations and model fine-tuning. Brush up on your data science fundamentals and be ready to solve problems on the spot. Practising common interview questions can really help you feel more confident!
