At a Glance
- Tasks: Lead the development of time-series ML systems and mentor junior engineers.
- Company: Avanti Recruitment, a forward-thinking tech company in London.
- Benefits: Competitive salary, equity options, and comprehensive benefits package.
- Other info: Hybrid work model with opportunities for professional growth.
- Why this job: Make a real impact on AI-driven decision systems for thousands of businesses.
- Qualifications: Experience in machine learning engineering and MLOps required.
The predicted salary is between 100000 - 120000 £ per year.
Avanti Recruitment is looking for a Senior / Lead Machine Learning Engineer to join their hybrid team in London, focusing on time-series forecasting and scalable ML systems. This role offers the chance to work on impactful AI-driven decision systems that influence pricing and marketing across thousands of businesses.
The ideal candidate will have experience in machine learning engineering, MLOps, and mentoring junior engineers. The position includes a competitive salary of £100,000 - £120,000, plus equity and benefits.
Lead Time-Series ML Engineer - Hybrid, Equity in City of Westminster employer: Avanti Recruitment
Avanti Recruitment is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about machine learning and AI. With a focus on employee growth, the company offers mentorship opportunities and the chance to work on impactful projects in a vibrant London setting, ensuring that your contributions directly influence the success of numerous businesses. The competitive salary package, including equity and comprehensive benefits, makes Avanti a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Time-Series ML Engineer - Hybrid, Equity in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Avanti Recruitment. A friendly chat can open doors and give you insider info on the role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with time-series forecasting and scalable ML systems. This will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready to tackle coding challenges or case studies related to MLOps. We want you to feel confident when it’s showtime!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Time-Series ML Engineer - Hybrid, Equity in City of Westminster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning engineering and MLOps. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about time-series forecasting and how you can contribute to our team. Let us know what excites you about working with AI-driven decision systems.
Showcase Your Mentoring Skills:Since we’re looking for someone who can mentor junior engineers, share any experiences you have in guiding others. Whether it’s formal mentoring or just helping out colleagues, we want to hear about it!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Avanti Recruitment
✨Know Your Time-Series Inside Out
Make sure you brush up on your time-series forecasting techniques. Be ready to discuss specific algorithms you've used, how they performed, and any challenges you faced. This shows you're not just familiar with the theory but have practical experience.
✨Show Off Your MLOps Skills
Since this role involves scalable ML systems, be prepared to talk about your experience with MLOps. Discuss tools you've used for deployment and monitoring, and how you've ensured models are production-ready. This will demonstrate your ability to bridge the gap between development and operations.
✨Mentorship Matters
As a lead engineer, you'll likely be mentoring junior engineers. Think of examples where you've successfully guided others or contributed to their growth. This will highlight your leadership skills and your commitment to fostering a collaborative team environment.
✨Prepare Questions That Matter
Interviews are a two-way street! Prepare insightful questions about the company's approach to AI-driven decision systems and how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
