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- Tasks: Design and implement strategies for predicting user actions using cutting-edge ML techniques.
- Company: High-growth AI assistant platform in Greater London with a focus on innovation.
- Benefits: Competitive salary, equity options, and significant autonomy in your role.
- Why this job: Take ownership of projects and make a real impact in the AI space.
- Qualifications: Strong background in ML/AI and expertise in Generative AI required.
- Other info: Collaborate with a large human data division to enhance model performance.
The predicted salary is between 48000 - 84000 £ per year.
A high-growth AI assistant platform in Greater London is seeking a Lead Machine Learning Engineer to design and implement technical strategies for predicting user actions. The ideal candidate has a strong ML/AI background and deep expertise in Generative AI. This role offers significant autonomy, allowing engineers to take full ownership of their business areas. Candidates will work closely with a large human data division to improve model performance and quality. Competitive salary and equity included.
Lead ML Engineer — High-Autonomy AI, London + Equity employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer — High-Autonomy AI, London + Equity
✨Tip Number 1
Network like a pro! Reach out to people in the AI and ML space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Generative AI. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common algorithms and be ready to explain your thought process. We want you to shine when it comes to demonstrating your knowledge!
✨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 Lead ML Engineer — High-Autonomy AI, London + Equity
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong ML/AI background and any experience you have with Generative AI. We want to see how your expertise can contribute to our high-growth platform!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Lead ML Engineer role. We love seeing candidates who take the time to align their skills with what we’re looking for.
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. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially in Generative AI. Be ready to discuss key concepts, algorithms, and your past projects. This will show that you have a solid foundation and can contribute effectively from day one.
✨Showcase Your Autonomy
Since this role offers significant autonomy, prepare examples of how you've taken ownership in previous projects. Highlight instances where you designed and implemented strategies independently, as this will resonate well with the interviewers.
✨Collaborate and Communicate
Emphasise your ability to work closely with cross-functional teams, especially with data divisions. Prepare to discuss how you've improved model performance through collaboration, as this is crucial for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for AI and how they measure success in their models. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
