At a Glance
- Tasks: Develop machine learning models for user personalisation and manage data pipelines.
- Company: Fractal, a forward-thinking tech company based in West London.
- Benefits: Hybrid working options, competitive salary, and opportunities for professional growth.
- Other info: 12-month FTC role with a focus on innovation and problem-solving.
- Why this job: Join a dynamic team and shape the future of AI-driven personalisation.
- Qualifications: Extensive ML experience, proficiency in Python, and familiarity with TensorFlow or PyTorch.
The predicted salary is between 60000 - 80000 £ per year.
Fractal is seeking a Senior AI / ML Engineer for a 12 Month FTC role based in West London with hybrid working options. This position involves developing machine learning models for user personalization along with data pipeline engineering and model deployment.
The ideal candidate should have extensive experience in the machine learning lifecycle, proficiency in Python, and be familiar with ML frameworks like TensorFlow and PyTorch, along with strong problem-solving skills.
Senior AI Engineer — Personalization & Production ML (FTC) employer: Fractal
Fractal is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about AI and machine learning. With a focus on employee growth, we offer continuous learning opportunities and the flexibility of hybrid working in vibrant West London, making it an ideal environment for professionals looking to make a meaningful impact in the field of personalization and production ML.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer — Personalization & Production ML (FTC)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, attend meetups, or join online 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 machine learning projects, especially those involving user personalization. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML frameworks like TensorFlow and PyTorch. Practice coding challenges and be ready to discuss your problem-solving approach in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Engineer — Personalization & Production ML (FTC)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with machine learning and Python in your application. We want to see how you've tackled real-world problems using ML frameworks like TensorFlow and PyTorch.
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Senior AI Engineer role. We love seeing how your background aligns with our needs for user personalisation and model deployment.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and skills.
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 with Fractal!
How to prepare for a job interview at Fractal
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of TensorFlow and PyTorch. Be ready to discuss your experience with these frameworks, including specific projects where you've implemented them. This will show that you’re not just familiar with the tools but have practical experience using them.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of complex problems you've solved in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and how you approach challenges in machine learning.
✨Understand the Machine Learning Lifecycle
Familiarise yourself with the entire machine learning lifecycle, from data collection to model deployment. Be prepared to discuss how you’ve managed each stage in past projects, as this role requires a comprehensive understanding of the process.
✨Ask Insightful Questions
Prepare thoughtful questions about Fractal's approach to user personalisation and their current projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals. Plus, it gives you a chance to engage in a meaningful conversation.
