Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build impactful AI solutions and optimise ML workloads for enterprise customers.
- Company: Dynamic digital experience platform based in London.
- Benefits: Competitive salary, stock options, and a strong work-life balance.
- Why this job: Join a cutting-edge team and make a real impact with generative AI.
- Qualifications: Experience in machine learning and cloud services, plus technical leadership skills.
- Other info: Exciting opportunities for career growth in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
A digital experience platform company based in London seeks a skilled machine learning engineer to build impactful AI solutions for enterprise customers. The role focuses on optimizing ML workloads, integrating cloud solutions, and ensuring high-quality outputs.
The ideal candidate will have:
- Technical leadership experience
- A solid grasp of machine learning principles
- Familiarity with cloud services
The position offers competitive compensation, stock options, and a strong commitment to work-life balance.
Senior ML Engineer: Generative AI in Production at Scale employer: Contentful GmbH
Contact Detail:
Contentful GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: Generative AI in Production at Scale
✨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 best projects, especially those related to generative AI and cloud solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning principles and cloud services knowledge. Practice coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior ML Engineer: Generative AI in Production at Scale
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with machine learning and cloud services. We want to see how you've tackled similar challenges in the past, so don’t hold back!
Tailor Your Application: Make your application stand out by tailoring it to the role. Use keywords from the job description, like 'optimising ML workloads' and 'technical leadership', to show us you’re a perfect fit for the Senior ML Engineer position.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Avoid jargon unless it’s relevant, and make sure your passion for AI solutions shines through without overwhelming us with unnecessary details.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Contentful GmbH
✨Know Your ML Fundamentals
Brush up on your machine learning principles before the interview. Be ready to discuss algorithms, model optimisation, and how you’ve applied these in past projects. This will show that you have a solid grasp of the core concepts that are crucial for the role.
✨Showcase Your Cloud Experience
Since the role involves integrating cloud solutions, make sure to highlight your experience with cloud services. Prepare examples of how you've used platforms like AWS, Azure, or Google Cloud to deploy ML models. This will demonstrate your ability to work in a cloud environment effectively.
✨Prepare for Technical Leadership Questions
Expect questions about your leadership style and how you’ve guided teams in previous roles. Think of specific instances where you led a project or mentored colleagues. This will help illustrate your technical leadership experience and your ability to drive impactful AI solutions.
✨Emphasise Work-Life Balance
The company values work-life balance, so be prepared to discuss how you manage your time and maintain productivity. Share strategies you use to ensure a healthy balance while delivering high-quality outputs. This will resonate well with their commitment to employee well-being.
