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- Tasks: Design, build, and deploy machine learning models for engineering software.
- Company: Ion recruitment, a leader in applied AI solutions.
- Benefits: Competitive salary, bonus, and unrivalled benefits.
- Other info: Office-based in Surrey with great career growth potential.
- Why this job: Tackle technically challenging problems in a hands-on ML role.
- Qualifications: Experience in machine learning and software development.
The predicted salary is between 50000 - 65000 £ per year.
Ion recruitment is seeking a Machine Learning Engineer to design, build, and deploy machine learning models that enhance complex engineering software products. This hands-on role involves working across the full ML lifecycle, focusing on practical applications of machine learning within production-grade systems.
The role is office-based in Surrey, UK, and offers a competitive salary, bonus, and unrivalled benefits, making it an excellent opportunity for those looking to engage with technically challenging problems in applied AI.
Production ML Engineer – Applied AI for Engineering Systems in London employer: Ion recruitment
Contact Detail:
Ion recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production ML Engineer – Applied AI for Engineering Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other ML engineers. 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 machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss how you've tackled complex engineering challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role that matches your skills and interests. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Production ML Engineer – Applied AI for Engineering Systems in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and engineering systems. We want to see how your skills align with the role, so don’t be shy about showcasing your 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 applied AI and how you can contribute to our team. Keep it engaging and personal – we love getting to know the real you.
Showcase Your Technical Skills: Since this role is all about practical applications, make sure to mention specific tools and technologies you’ve worked with. We’re keen to see your hands-on experience with ML models and production-grade systems!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Ion recruitment
✨Know Your ML Fundamentals
Make sure you brush up on your machine learning fundamentals. Be prepared to discuss algorithms, model evaluation metrics, and the full ML lifecycle. This will show that you have a solid understanding of the core concepts that are crucial for the role.
✨Showcase Your Hands-On Experience
Since this is a hands-on role, be ready to share specific examples of projects where you've designed, built, and deployed machine learning models. Highlight any challenges you faced and how you overcame them, as this demonstrates your problem-solving skills.
✨Understand the Engineering Context
Familiarise yourself with the engineering software products relevant to the position. Knowing how machine learning can enhance these systems will help you articulate your ideas effectively during the interview.
✨Prepare Questions About the Role
Have a few thoughtful questions ready about the team, the projects you'll be working on, and the company culture. This shows your genuine interest in the position and helps you assess if it's the right fit for you.