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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 - 72000 £ 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 folks in the AI and ML community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Generative AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
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 ML/AI background and any experience with Generative AI in your application. We want to see how your expertise aligns with our needs, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Lead ML Engineer role. Use keywords from the job description to demonstrate that you understand what we’re looking for.
Be Authentic: Let your personality shine through in your written application. We value authenticity and want to get a sense of who you are beyond just your technical skills.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This helps us keep track of applications and ensures you’re considered for the role!
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 prepared 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, be ready to share examples of how you've taken ownership in previous positions. Discuss specific projects where you led the design and implementation of strategies, highlighting your decision-making process and outcomes.
✨Collaborate with Data Teams
Emphasise your experience working with data teams. Talk about how you've collaborated with human data divisions to enhance model performance. This shows that you understand the importance of teamwork in achieving high-quality results.
✨Prepare for Technical Challenges
Expect technical questions or challenges during the interview. Practice coding problems related to machine learning and be ready to explain your thought process. This will demonstrate your problem-solving skills and technical expertise.
