Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy cutting-edge AI/ML solutions for a transformative digital programme.
- Company: Join a forward-thinking company at the forefront of digital modernisation.
- Benefits: Competitive rate, hybrid work model, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on innovation and collaboration.
- Why this job: Be part of an exciting 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 ÂŁ 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 cloudânative AI services and enabling enterpriseâscale adoption of advanced AI capabilities.
We are seeking an experienced Senior AI / ML Engineer to help deliver productionâgrade AI solutions across this transformation initiative.
Role OverviewYou will be responsible for designing, building, and deploying endâtoâend AI/ML and Generative AI solutions for production environments. The role will focus on Agentic AI solutions, RAG pipelines, LLM integrations, and cloudânative 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
- Handsâon 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
- Agentâbased workflows
- Model selection and fineâtuning
- Prompt engineering
- Enterprise system integration
- Data analysis
- Feature engineering
- Machine learning
- Statistics
- Advanced prompt engineering and LLM fineâtuning
- Experience integrating AI solutions within complex enterprise environments
- Strong understanding of cloudânative AI architecture best practices
AI Engineer in Macclesfield employer: Undisclosed
Contact Detail:
Undisclosed Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land AI Engineer in Macclesfield
â¨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.
â¨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.
â¨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. Confidence is key!
â¨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace AI Engineer in Macclesfield
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV highlights your experience with AI/ML and Generative AI solutions. We want to see how your skills align with the role, so donât be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youâre passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal â we love to see your personality!
Showcase Your Technical Skills: Since this role requires strong Python development skills and experience with Azure, make sure to mention specific frameworks and tools youâve used. Weâre keen to know how youâve applied your technical expertise in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, itâs super easy â just follow the prompts!
How to prepare for a job interview at Undisclosed
â¨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML concepts, especially around Agentic AI solutions and RAG pipelines. Be ready to discuss your hands-on experience with Python and any frameworks you've used, as well as your familiarity with Azure AI Foundry.
â¨Showcase Your Projects
Prepare to talk about specific projects where you've designed, developed, and deployed AI solutions. Highlight the challenges you faced and how you overcame them, particularly in production environments. This will demonstrate your practical experience and problem-solving skills.
â¨Understand the Companyâs Vision
Research the companyâs digital modernisation programme and understand their goals. Be prepared to discuss how your skills can contribute to their mission of enabling enterprise-scale adoption of advanced AI capabilities. This shows that you're not just interested in the role, but also in the company's objectives.
â¨Ask Smart Questions
Prepare insightful questions about the team dynamics, the technologies they use, and the challenges they face in deploying AI solutions. This not only shows your interest but also helps you gauge if the company is the right fit for you.