Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain cutting-edge ML solutions in a fully remote role.
- Company: Join Darwin Recruitment, a leader in innovative tech solutions.
- Benefits: Enjoy a flexible work environment with potential for full-time conversion.
- Other info: 12-month contract with opportunities for growth and development.
- Why this job: Make an impact in the manufacturing sector using advanced AI technologies.
- Qualifications: Experience with Azure ML, Python, Docker, and Kubernetes required.
The predicted salary is between 60000 - 80000 £ per year.
Darwin Recruitment is looking for experienced AI Engineers to work in a 12-month contract role, fully remote, focused on building, deploying, and maintaining production ML solutions within an enterprise manufacturing context.
Key skills include:
- Azure Machine Learning
- Python for API development
- Docker
- Kubernetes
Nice-to-have skills include exposure to Cognitive Services and experience in Azure DevOps.
The start date is May 2026, with potential for extension or conversion to full-time.
Remote AI Engineer - Production ML on Azure & APIs employer: Darwin Recruitment
Contact Detail:
Darwin Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Engineer - Production ML on Azure & APIs
✨Tip Number 1
Network like a pro! Reach out to fellow AI Engineers and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Machine Learning and Python APIs. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on Docker and Kubernetes. Be ready to discuss how you've used these tools in past projects, as they'll be key in your role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Remote AI Engineer - Production ML on Azure & APIs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Machine Learning, Python, and any relevant tools like Docker and Kubernetes. We want to see how your skills match the job description, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI engineering and how your background makes you a perfect fit for our team. We love hearing personal stories that connect your experience to the role.
Showcase Relevant Projects: If you've worked on any projects involving production ML solutions or APIs, make sure to mention them! We’re interested in seeing real-world applications of your skills, especially in an enterprise context.
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 and straightforward!
How to prepare for a job interview at Darwin Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Machine Learning, Python, Docker, and Kubernetes. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in production ML environments and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your critical thinking and problem-solving abilities, which are crucial for this role.
✨Familiarise Yourself with the Company
Research Darwin Recruitment and understand their focus on enterprise manufacturing solutions. Knowing their mission and values can help you tailor your responses and show genuine interest in the company. It’s a great way to connect your skills to their needs.
✨Prepare Questions for Them
Have a few insightful questions ready to ask at the end of the interview. This could be about their current projects, team dynamics, or future goals. It shows that you’re engaged and thinking about how you can contribute to their success.