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- Tasks: Design and deploy scalable AI/ML solutions for digital transformation.
- Company: Experis, a leader in innovative tech solutions.
- Benefits: Flexible working, competitive pay, and opportunities for growth.
- Other info: Work in a dynamic environment with a focus on innovation.
- Why this job: Join us to shape the future of AI and make a real impact.
- Qualifications: Strong Python skills and experience with Azure services required.
The predicted salary is between 60000 - 80000 £ per year.
Experis is looking for a Senior AI / ML Engineer for a contract role based in Alderley Park, Cheshire. The role entails designing, building, and deploying scalable AI/ML and Generative AI solutions as part of a digital modernisation programme.
Candidates should have a strong background in Python development and experience with Azure services. Flexible working arrangements allow for 2-3 days onsite and remote work. Join us to contribute to cutting-edge AI transformation initiatives.
Senior AI/ML Engineer — Cloud-Native AI for Modernisation employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Engineer — Cloud-Native AI for Modernisation
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving Python and Azure. 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 common AI/ML questions and scenarios. Practice explaining your thought process and how you've tackled challenges in past projects—this will help you stand out!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior AI/ML Engineer — Cloud-Native AI for Modernisation
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python development experience and any work you've done with Azure services. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience with AI/ML and Generative AI solutions, as it’s super relevant to what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about your qualifications.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Experis
✨Know Your Tech Stack
Make sure you’re well-versed in Python and Azure services. Brush up on your knowledge of scalable AI/ML solutions and be ready to discuss how you've implemented these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in AI/ML projects and how you overcame them. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Understand the Company’s Vision
Research Experis and their digital modernisation programme. Be prepared to discuss how your skills align with their goals and how you can contribute to their cutting-edge AI transformation initiatives.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and future projects. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.