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, Python proficiency, and familiarity with TensorFlow or PyTorch.
The predicted salary is between 60000 - 80000 Β£ 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
- Familiarity with ML frameworks like TensorFlow and PyTorch
- Strong problem-solving skills
Senior AI Engineer β Personalization & Production ML (FTC) in London employer: Fractal
Fractal is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the tech field. With a focus on employee growth, we offer continuous learning opportunities and the chance to work on cutting-edge AI projects in a vibrant West London setting, complemented by flexible hybrid working arrangements that promote work-life balance.
StudySmarter Expert Adviceπ€«
We think this is how you could land Senior AI Engineer β Personalization & Production ML (FTC) in London
β¨Tip Number 1
Network like a pro! Reach out to people in the AI and ML space, especially those who work at Fractal or similar companies. A friendly chat can sometimes lead to opportunities that arenβt even advertised!
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving user personalization. This will give you an edge and demonstrate your hands-on experience.
β¨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.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior AI Engineer β Personalization & Production ML (FTC) in London
Some tips for your application π«‘
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:Donβt just send a generic CV! Customise your application to reflect the specific requirements of the Senior AI Engineer role. We love seeing how your unique experiences align with our needs.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. Itβs the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Fractal
β¨Know Your ML Frameworks
Make sure you brush up on your knowledge of TensorFlow and PyTorch. Be ready to discuss specific projects where you've used these frameworks, as well as any challenges you faced and how you overcame them.
β¨Showcase Your Problem-Solving Skills
Prepare to share examples of complex problems you've solved in the machine learning lifecycle. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
β¨Understand User Personalization
Since this role focuses on user personalization, think about how you've applied machine learning to enhance user experiences. Be ready to discuss algorithms you've implemented and their impact on user engagement.
β¨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Fractal's approach to AI and ML, especially regarding their data pipeline engineering and model deployment processes. This shows your genuine interest in the role and the company.