At a Glance
- 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 in a collaborative team.
- 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.
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.
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
- 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 company, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Located in the picturesque Alderley Park, Cheshire, our hybrid working model allows for a balanced approach to work-life integration, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills in cutting-edge AI technologies. Join us to be part of a transformative digital modernisation programme where your contributions will make a meaningful impact.
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 lookout for opportunities. Attend meetups or webinars related to AI, and don’t be shy about introducing yourself to potential employers.
✨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 you an edge and demonstrate your hands-on experience to potential employers.
✨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 role you're applying for. We all know that confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
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 role of Senior AI/ML Engineer. Highlight your experience with AI solutions, Python skills, and any relevant projects you've worked on. We want to see how your background aligns with our needs!
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 skills can contribute to our Digital Modernisation programme. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any AI/ML projects, make sure to showcase them in your application. Whether it's a GitHub repo or a brief description, we want to see your hands-on experience and what you can bring to the table.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
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. You might even want to bring a coding example or two to demonstrate your expertise during the interview.
✨Familiarise Yourself with Azure
As this position involves working with Azure AI Foundry and Azure OpenAI, make sure you understand how these platforms work. Highlight any previous projects where you've successfully integrated AI solutions using Azure, as this will show you're ready to hit the ground running.
✨Prepare for Technical Questions
Expect to face some technical questions related to model selection, fine-tuning, and prompt engineering. Brush up on your data science fundamentals, and be ready to explain your thought process when tackling complex problems. This will showcase your analytical skills and problem-solving abilities.
