Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and integrate ML models while developing production-ready code.
- Company: Leading AI solutions company in the UK with a focus on innovation.
- Benefits: Competitive salary of £80,000 to £110,000 and fully remote work.
- Why this job: Join a dynamic team and work on cutting-edge AI technologies.
- Qualifications: Experience in Python and a passion for learning new tech.
- Other info: Full-time, mid-senior level role with great growth potential.
The predicted salary is between 80000 - 110000 £ per year.
A leading AI solutions company in the United Kingdom is seeking an ML / AI Engineer specializing in Python and AI/ML application deployment. This fully remote role requires building and integrating ML models and developing production-ready code. Ideal candidates will have strong communication skills and a desire to learn new technologies. Compensation ranges from £80,000 to £110,000 per annum. This position is a full-time, mid-senior level opportunity in engineering and information technology.
Remote ML Engineer – GenAI/Python + Azure in England employer: Norton Blake
Contact Detail:
Norton Blake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer – GenAI/Python + Azure in England
✨Tip Number 1
Network like a pro! Reach out to fellow ML engineers and tech enthusiasts on LinkedIn or relevant forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Python and Azure. 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 ML concepts and coding challenges. Practice explaining your thought process clearly, as strong communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote ML Engineer – GenAI/Python + Azure in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AI/ML deployment. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI and your eagerness to learn new technologies. Let us know why you’re excited about this role and how you can contribute to our team.
Showcase Your Communication Skills: Since strong communication is key for this role, make sure your application reflects that. Whether it’s in your CV or cover letter, clear and concise language will help us see your ability to convey complex ideas effectively.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Norton Blake
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and Azure, as these are key to the role. Brush up on your knowledge of ML models and deployment strategies, and be ready to discuss specific projects where you've applied these skills.
✨Showcase Your Communication Skills
Since strong communication is a must-have, practice explaining complex technical concepts in simple terms. Think about how you can convey your ideas clearly and effectively, especially when discussing your past experiences.
✨Demonstrate Your Learning Mindset
The company values a desire to learn new technologies, so be prepared to talk about how you stay updated with industry trends. Share examples of how you’ve adapted to new tools or methodologies in your previous roles.
✨Prepare for Practical Assessments
Expect to face practical coding challenges or case studies during the interview. Practice coding problems related to ML and AI, and be ready to walk through your thought process and solutions with the interviewers.
