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- Tasks: Build, deploy, and maintain cutting-edge ML solutions in a fully remote role.
- Company: Join a leading enterprise manufacturing organisation driving AI innovation.
- Benefits: Enjoy a flexible remote work environment with potential for contract extension or full-time conversion.
- Other info: Great opportunity for career growth in a dynamic and innovative setting.
- Why this job: Make a real impact by scaling AI initiatives and working with advanced technologies.
- Qualifications: Hands-on experience with ML models, Python, Docker, and Kubernetes is essential.
The predicted salary is between 50000 - 70000 £ per year.
Location: 100% remote
Start date: May 2026
Length: 12 month contract, with option to extend or convert to full time
About: Enterprise manufacturing organisation scaling multiple AI initiatives across Azure. Looking for hands-on AI Engineers to build, deploy, and maintain production ML solutions.
Essential Skills:
- Hands-on building and deploying ML models in Azure Machine Learning
- Strong Python development with experience building APIs for ML models (FastAPI / Flask / .NET)
- Proven experience taking models from training through to production deployment
- Strong experience with Docker and Kubernetes (AKS preferred)
- Solid understanding of data preprocessing and feature engineering
Nice to have:
- Exposure to Cognitive Services (Vision, Speech, Language)
- Experience working in Azure DevOps CI/CD pipelines
AI Engineer employer: Darwin Recruitment
Contact Detail:
Darwin Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Azure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML model deployment skills. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with building and deploying ML models in Azure. We want to see your Python skills shine, so don’t forget to mention any APIs you've built using FastAPI or Flask!
Showcase Your Projects: Include specific examples of projects where you took models from training to production deployment. We love seeing real-world applications of your skills, especially if they involve Docker and Kubernetes!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for AI and how your experience aligns with our needs. Don’t hold back on your enthusiasm for working in a remote environment!
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 to do!
How to prepare for a job interview at Darwin Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the essential skills listed in the job description. Brush up on your Python development, especially with FastAPI or Flask, and be ready to discuss how you've built and deployed ML models in Azure. The more specific examples you can provide, the better!
✨Showcase Your Hands-On Experience
Prepare to talk about your hands-on experience with Docker and Kubernetes. Have a couple of projects in mind where you’ve taken models from training to production deployment. This will demonstrate your practical knowledge and problem-solving skills.
✨Understand the Company’s AI Initiatives
Do some research on the enterprise manufacturing organisation and their AI initiatives. Understanding their goals and challenges will help you tailor your answers and show that you’re genuinely interested in contributing to their success.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to handle real-world problems. Think about how you would approach data preprocessing and feature engineering in different situations. Practising these scenarios can give you the confidence to tackle similar questions during the interview.