At a Glance
- Tasks: Design and optimise machine-learning models while maintaining data pipelines.
- Company: Fractal Analytics, a leader in AI and analytics with a hybrid work culture.
- Benefits: Flexible hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: 12-month fixed-term contract with strong career development potential.
- Why this job: Join a dynamic team and make an impact in the world of AI and ML.
- 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
- Experience with ML frameworks like TensorFlow and PyTorch
- Strong analytical problem-solving skills
Senior AI Engineer — Personalization & Production ML (Hybrid) employer: Fractal Analytics UK Limited
Fractal Analytics UK Limited is an excellent employer, offering a dynamic work environment in West London that fosters innovation and collaboration. With a strong focus on employee growth, the company provides opportunities for professional development and skill enhancement, particularly in cutting-edge AI and machine learning technologies. The hybrid work model promotes a healthy work-life balance, making it an attractive choice for those seeking meaningful and rewarding employment.
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)
✨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! Create a portfolio showcasing your machine-learning projects, especially those using Python, TensorFlow, or PyTorch. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios they might throw at you, especially around model optimisation and data pipelines.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior AI Engineer — Personalization & Production ML (Hybrid)
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 explain how you resolved them. This will highlight your critical thinking abilities.
✨Understand the Company’s Needs
Research Fractal Analytics and their approach to AI and ML. 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 looking for any job, but that you're genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the role and the team dynamics. Inquire about their current projects or challenges they face in production ML. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
