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 £ 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 in Macclesfield employer: Undisclosed
At our company, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As a Senior AI/ML Engineer at our Alderley Park location, you will benefit from a hybrid working model that promotes work-life balance, alongside competitive rates and opportunities for professional growth in cutting-edge AI technologies. Join us to be part of a transformative digital modernisation programme where your contributions will directly impact the future of enterprise-scale AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in 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 do and set you apart from the crowd.
✨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!
✨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 🫡
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 don’t 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 you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – 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 you’ve used. We’re keen to know how you’ve applied your technical expertise in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Undisclosed
✨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.
✨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.
✨Understand the Company’s Vision
Research the company’s 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.
✨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.
