At a Glance
- Tasks: Design and optimise machine-learning models while maintaining data pipelines.
- Company: Fractal Analytics, a leader in AI and analytics solutions.
- Benefits: Hybrid work model, competitive salary, and professional development opportunities.
- Other info: 12-month fixed-term contract with strong career growth potential.
- Why this job: Join a dynamic team and shape the future of AI in a collaborative environment.
- Qualifications: Proficiency in Python and experience with ML frameworks like TensorFlow and PyTorch.
The predicted salary is between 60000 - 80000 £ per year.
Fractal Analytics UK Limited is looking for a Senior AI / ML Engineer for a 12-month fixed-term contract in West London. This role offers a hybrid work model, requiring onsite presence for 2 days per week.
The ideal candidate will:
- Design and optimize machine-learning models
- Maintain data pipelines
- Supervise models in production
Candidates should have proficiency in Python and experience with ML frameworks like TensorFlow and PyTorch, along with strong analytical problem-solving skills.
Senior AI Engineer — Personalization & Production ML (Hybrid) in London employer: Fractal Analytics UK Limited
Fractal Analytics UK Limited is an exceptional employer that fosters a collaborative and innovative work culture, ideal for those passionate about AI and machine learning. With a hybrid work model, employees enjoy flexibility while being part of a dynamic team in West London, where opportunities for professional growth and development are abundant. The company prioritises employee well-being and offers a supportive environment that encourages creativity and continuous learning.
Contact Details:
Fractal Analytics UK Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer — Personalization & Production ML (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, especially those at Fractal Analytics. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine-learning projects, especially those using Python, TensorFlow, or PyTorch. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your problem-solving skills with coding challenges related to AI and ML. Websites like LeetCode or HackerRank can be super helpful.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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 (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and ML frameworks like TensorFlow and PyTorch. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your analytical problem-solving skills make you a great fit for our team. Let us know what excites you about this role!
Showcase Your Projects:If you've worked on any cool machine-learning models or data pipelines, include them in your application. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
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!
How to prepare for a job interview at Fractal Analytics UK Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with ML frameworks like TensorFlow and PyTorch. Be ready to discuss specific projects where you've designed or optimised machine-learning models, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some analytical problems during the interview. Think of examples from your past work where you faced challenges in model supervision or data pipeline maintenance, and be ready to explain how you approached and solved them.
✨Understand the Company’s Needs
Research Fractal Analytics and their focus areas. Tailor your responses to demonstrate how your skills align with their goals, especially in personalisation and production ML. This shows that you're not just a fit for the role, but also genuinely interested in the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the projects you'll be working on, and the hybrid work model. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
