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For Companies At a Glance
- Tasks: Design and deploy cutting-edge AI/ML solutions in a dynamic digital transformation programme.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive rate, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a fast-paced, innovative environment.
- Why this job: Be part of a transformative 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
Locations
Engineer gezocht in Cheshire, Macclesfield employer: Undisclosed
Contact Detail:
Undisclosed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer gezocht in Cheshire, Macclesfield
✨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 bring to the table.
✨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 Engineer gezocht in Cheshire, Macclesfield
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/ML solutions, especially any hands-on work 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/ML and how your background makes you a perfect fit for our digital modernisation programme. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any projects related to Agentic AI solutions or RAG pipelines, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Undisclosed
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI/ML frameworks and cloud-native architectures. Be ready to discuss your hands-on experience with Agentic AI solutions and RAG pipelines, as well as any projects you've worked on that involved Azure AI Foundry or Azure OpenAI.
✨Showcase Your Python Skills
Since strong Python development skills are essential for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Prepare for Technical Questions
Expect in-depth questions about model selection, fine-tuning, and prompt engineering. Brush up on your data science fundamentals, including statistics and feature engineering, as these topics may come up during the interview.
✨Engage with Stakeholders
This role involves working closely with various stakeholders, so be prepared to discuss how you’ve collaborated with engineering, data, and business teams in the past. Highlight your communication skills and ability to integrate AI solutions within complex enterprise environments.