At a Glance
- Tasks: Lead the development of advanced machine learning models and strategies.
- Company: A top AI technology firm focused on innovation and predictive capabilities.
- Benefits: Competitive salary, equity options, and a hybrid working model.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Experience in ML/AI engineering, preferably in a tech scaleup or startup.
- Other info: Fast-paced environment with opportunities for significant impact and growth.
The predicted salary is between 48000 - 84000 £ per year.
A leading AI technology firm is seeking a Lead Machine Learning Engineer to enhance their predictive capabilities. The role offers autonomy to define strategies and improve AI models. Ideal candidates have experience in ML/AI engineering within a tech scaleup or as a founder of an AI startup. The firm emphasizes urgency and intensity in work and provides a hybrid working environment with competitive compensation, including salary and equity.
Lead ML Engineer — Hybrid (London/Remote Fri) Equity employer: FYXER
Contact Detail:
FYXER Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer — Hybrid (London/Remote Fri) Equity
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects or contributions to open-source. We want to see what you can do, so make sure it’s easy for us to find your work online.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences. We love candidates who can articulate their thought process and problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who are eager to join our team.
We think you need these skills to ace Lead ML Engineer — Hybrid (London/Remote Fri) Equity
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your experiences align with our mission to enhance predictive capabilities.
Tailor Your CV: Make sure your CV is tailored to highlight your relevant experience in ML/AI engineering. We’re looking for candidates who have worked in tech scaleups or have founded AI startups, so don’t be shy about showcasing those achievements!
Be Clear and Concise: In your written application, clarity is key. We appreciate straightforward communication, so keep your language simple and to the point while still demonstrating your expertise.
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 hybrid working environment.
How to prepare for a job interview at FYXER
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss your past projects in detail, especially those that showcase your ability to enhance predictive capabilities. The firm is looking for someone who can hit the ground running, so demonstrate your expertise confidently.
✨Showcase Your Autonomy
Since the role offers autonomy in defining strategies, prepare examples of how you've taken initiative in previous roles. Talk about times when you led projects or made significant decisions that improved AI models. This will show that you can thrive in a fast-paced environment.
✨Emphasise Urgency and Intensity
The company values urgency and intensity, so be prepared to discuss how you manage tight deadlines and high-pressure situations. Share specific instances where you successfully delivered results under pressure, highlighting your problem-solving skills and resilience.
✨Understand the Hybrid Model
Familiarise yourself with the hybrid working model and be ready to discuss how you can effectively collaborate with teams both in-person and remotely. Mention any tools or strategies you use to stay connected and productive, as this will show you're adaptable and ready for their work environment.
