Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 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
✨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 those interviews! Brush up on your technical knowledge and be ready to discuss your past projects. Practise common ML interview questions and think about how you can apply your skills to real-world engineering problems.
✨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, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Production ML Engineer – Applied AI for Engineering Systems
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 our applicants!
Showcase Your Technical Skills: In this role, technical expertise is key. Be sure to mention specific tools, languages, and frameworks you’ve worked with. We’re looking for hands-on experience, so don’t hold back on the details!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Ion recruitment
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals before the interview. Be ready to discuss algorithms, model evaluation metrics, and the full ML lifecycle. This will show that you have a solid grasp of the concepts that are crucial for designing and deploying models in production.
✨Showcase Your Hands-On Experience
Prepare 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. This practical experience is key for a role focused on applied AI in engineering systems.
✨Understand the Company’s Products
Research Ion recruitment and their engineering software products. Familiarise yourself with how machine learning can enhance these products. This knowledge will help you tailor your answers and demonstrate your genuine interest in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the projects you'll be working on, and the technologies they use. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Engaging in a two-way conversation can leave a lasting impression.