At a Glance
- Tasks: Design and deploy cutting-edge AI/ML solutions in a dynamic hybrid environment.
- Company: Join a forward-thinking team at the forefront of digital transformation.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Exciting projects with potential for career advancement in a collaborative setting.
- Why this job: Make a real impact by shaping 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
- Expertise in:
- Model selection and fine‑tuning
- Prompt engineering
- Enterprise system integration
- Solid data science fundamentals, including:
- 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: Undisclosed
At our company, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Located in the picturesque Alderley Park, Cheshire, our hybrid working model offers flexibility while providing access to cutting-edge technology and resources for professional growth. Join us to be part of a transformative digital modernisation programme, where your expertise in AI/ML will not only be valued but also contribute to meaningful advancements in the industry.
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 a lead or can refer you directly to hiring managers.
✨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 RAG pipelines and LLM integrations, as these are hot topics in the industry right now.
✨Tip Number 4
Don't forget to apply through our website! We’re always looking for talented individuals like you to join our team. 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 in Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior AI/ML Engineer. Highlight your experience with AI solutions, especially in production environments, and don’t forget to mention your hands-on skills with Python and Azure.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our Digital Modernisation programme. Share specific examples of your work with Agentic AI solutions and RAG pipelines to grab our attention.
Showcase Your Projects:If you’ve worked on any relevant projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially those involving LLM integrations and cloud-native architectures.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 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. Maybe even bring a small project or code snippet to demonstrate your expertise. It’ll show you’re not just all talk!
✨Understand Azure Inside Out
Familiarise yourself with Azure AI Foundry and Azure OpenAI. You might get asked about how you've used these tools in past projects, so having concrete examples will help you stand out. Don’t forget to mention any cloud-native AI architecture best practices you’ve applied!
✨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 bridge the gap between technical and non-technical teams is a huge plus!
