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- Tasks: Shape the future of AI by designing complex systems that predict user actions.
- Company: Join a leading tech recruitment agency focused on innovation.
- Benefits: Exceptional growth opportunities and access to a world-class data team.
- Why this job: Be at the forefront of Generative AI and make a real impact.
- Qualifications: Experience in Generative AI and a product-focused mindset.
- Other info: Dynamic environment with high autonomy and exciting challenges.
The predicted salary is between 43200 - 72000 £ per year.
A tech recruitment agency is seeking a Lead Machine Learning Engineer to shape the technical strategy for predicting user actions. You will design complex systems that integrate LLMs with traditional ML models in a high-autonomy and dynamic environment. The ideal candidate has experience in Generative AI and a product-focused mindset. This role offers an exceptional growth trajectory with direct access to a world-class human data team.
Lead ML Engineer: Build Next-Gen Generative AI Systems in London employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer: Build Next-Gen Generative AI Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Generative AI and ML systems. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with diverse teams. We recommend mock interviews to get comfortable!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talent that can help us shape the future of AI.
We think you need these skills to ace Lead ML Engineer: Build Next-Gen Generative AI Systems in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for Generative AI shine through. We want to see how your experience aligns with our mission to build next-gen systems, so don’t hold back on sharing your journey in this exciting field!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight your relevant skills and experiences. We’re looking for someone who can shape technical strategies, so emphasise any past projects or roles that showcase your expertise in ML and LLMs.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications. Use bullet points where necessary and avoid jargon unless it’s relevant to the role.
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 shows you’re proactive and keen to join our team!
How to prepare for a job interview at Jack & Jill
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of Generative AI and its applications. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and passion for the field.
✨Showcase Your Technical Strategy Skills
Prepare to talk about how you would shape the technical strategy for predicting user actions. Think about examples where you've successfully integrated LLMs with traditional ML models. Highlight your problem-solving skills and how you approach complex system design.
✨Demonstrate a Product-Focused Mindset
Employers love candidates who think about the end-user. Be ready to explain how your work in machine learning has directly impacted product outcomes. Share instances where your insights led to improved user experiences or product features.
✨Engage with the Human Data Team Concept
Since this role offers access to a world-class human data team, express your enthusiasm for collaboration. Discuss how you’ve worked with cross-functional teams in the past and how you believe diverse perspectives can enhance machine learning projects.
