At a Glance
- Tasks: Lead the development of time-series forecasting and scalable ML systems.
- Company: Avanti Recruitment, a forward-thinking tech company in London.
- Benefits: Competitive salary, equity, 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, MLOps, and mentoring.
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 employer: Avanti Recruitment
Avanti Recruitment is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, you will have the opportunity to mentor junior engineers while working on cutting-edge AI projects that make a real impact. The competitive salary, equity options, and comprehensive benefits package further enhance the appeal of joining our hybrid team, making it a rewarding place for talented professionals seeking meaningful employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Time-Series ML Engineer - Hybrid, Equity
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other ML engineers. 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 time-series forecasting projects and any scalable ML systems you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your MLOps knowledge and be ready to discuss how you've mentored junior engineers. We want to see your passion for AI-driven decision systems and how you can make an impact.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Time-Series ML Engineer - Hybrid, Equity
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 value mentorship, include examples of how you've supported junior engineers in the past. We love seeing candidates who are not just tech-savvy but also great team players!
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 you've implemented them, and the results they achieved. This will show your depth of knowledge and practical experience.
✨Showcase Your MLOps Skills
Prepare to talk about your experience with MLOps practices. Highlight any tools or frameworks you've worked with, and be ready to explain how you've streamlined ML workflows in previous roles. This is crucial for demonstrating your ability to build scalable ML systems.
✨Mentorship Matters
Since mentoring junior engineers is part of the role, think of examples where you've guided others. Share stories that illustrate your leadership style and how you've helped team members grow. This will show that you're not just a tech whiz but also a great team player.
✨Impactful AI-Driven Decisions
Be prepared to discuss how your work has influenced business decisions in the past. Whether it's pricing strategies or marketing campaigns, having concrete examples will demonstrate your ability to make an impact through AI-driven solutions.
