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- Tasks: Design and deploy cutting-edge AI/ML solutions in a dynamic digital transformation programme.
- Company: Join a forward-thinking team 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: Make a real impact by shaping 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
Technisch engineer. in Cheshire, Macclesfield employer: Undisclosed
Contact Detail:
Undisclosed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technisch engineer. 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. Attend industry meetups or webinars to meet potential employers and showcase your skills.
✨Tip Number 2
Show off your projects! Create a portfolio that highlights your experience with AI/ML solutions, especially those involving Azure. This will give you an edge and demonstrate your hands-on skills to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Agentic AI solutions and RAG pipelines. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting roles that match your skills. Plus, applying directly can sometimes give you a better chance of landing that dream job.
We think you need these skills to ace Technisch engineer. 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. Let us know what excites you about this opportunity!
Showcase Relevant Projects: If you've worked on projects involving 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 everything organised and ensures your application gets the attention it deserves. We can’t wait to hear from you!
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 Python, Azure AI Foundry, and any projects you've worked on that involved Agentic AI solutions or RAG pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles. Think about times when you had to optimise workflows or integrate complex AI solutions within enterprise environments. This will demonstrate your ability to think critically and adapt.
✨Understand the Business Impact
It's not just about the tech! Be prepared to discuss how your AI/ML solutions can drive business value. Understand the goals of the digital modernisation programme and be ready to explain how your work contributes to those objectives.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions that show your interest in the role and the company. Ask about their current AI initiatives, team dynamics, or how they measure success in their digital transformation efforts. This shows you're genuinely engaged and thinking ahead.