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- Tasks: Develop real-world AI solutions and optimise generative AI products.
- Company: Leading digital experience platform in Greater London.
- Benefits: Stock options, family-building support, generous paid time off, and a supportive learning environment.
- Why this job: Join a passionate team and shape the future of AI technology.
- Qualifications: Proven experience in ML development and understanding of current AI trends.
- Other info: Exciting opportunity for growth in a dynamic tech environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading digital experience platform in Greater London is seeking a passionate machine learning engineer to develop real-world AI solutions. You will measure ML output quality, design scalable software, and optimize generative AI products. The ideal candidate will have proven experience in ML development and a good understanding of current AI trends.
Benefits include:
- Stock options
- Family-building support
- Generous paid time off
- A supportive learning environment
Senior ML Engineer: Generative AI in Production employer: PowerToFly
Contact Detail:
PowerToFly Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: Generative AI in Production
✨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. 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 your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior ML Engineer: Generative AI in Production
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for machine learning and generative AI shine through. We want to see how your passion aligns with our mission to develop real-world AI solutions.
Highlight Relevant Experience: Make sure to showcase your proven experience in ML development. We’re looking for candidates who can demonstrate their skills in measuring ML output quality and designing scalable software, so don’t hold back!
Stay Current with AI Trends: In your application, mention any current AI trends you’re familiar with. This shows us that you’re not just experienced but also engaged with the evolving landscape of AI technology.
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 in a supportive learning environment.
How to prepare for a job interview at PowerToFly
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to generative AI. Be ready to discuss your past projects and how you've tackled challenges in ML development. This will show your passion and expertise in the field.
✨Stay Current with AI Trends
Familiarise yourself with the latest trends in AI and generative models. Companies love candidates who are not just skilled but also aware of what's happening in the industry. Bring up recent advancements or tools you've been experimenting with during the interview.
✨Prepare for Technical Questions
Expect some technical questions that test your problem-solving skills. Practice coding problems or system design scenarios relevant to ML. We recommend using platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨Showcase Your Soft Skills
While technical skills are crucial, don't forget to highlight your soft skills. Communication, teamwork, and adaptability are key in a collaborative environment. Share examples of how you've worked effectively in teams or adapted to changes in projects.
