Principal Machine Learning Engineer at innovative consumer-tech startup in London

Principal Machine Learning Engineer at innovative consumer-tech startup in London

London Full-Time 90000 - 120000 € / year (est.) No home office possible
J

At a Glance

  • Tasks: Lead the development of advanced ML models and enhance user experiences.
  • Company: Innovative consumer-tech startup in London, backed by top-tier venture capital.
  • Benefits: Competitive salary, mentorship opportunities, and a chance to shape impactful products.
  • Other info: Join a world-class engineering team in a rapidly scaling environment.
  • Why this job: Drive high-impact ML initiatives and influence millions of users.
  • Qualifications: Extensive experience in machine learning systems and proficiency in Python.

The predicted salary is between 90000 - 120000 € per year.

As a Principal Machine Learning Engineer, you will lead the technical strategy for a high-traffic platform, driving the development of advanced recommendation engines and predictive models. You will bridge the gap between research and production, architecting scalable systems that process vast amounts of user data to deliver highly personalized digital experiences.

Why this role is remarkable:

  • Lead high-impact ML initiatives from inception to production at a rapidly scaling organization.
  • Work alongside a world-class engineering team backed by top-tier venture capital firms.
  • Shape the technical roadmap for a product used by millions, influencing core business outcomes.

What You Will Do:

  • Design and deploy sophisticated machine learning models to enhance user engagement and retention.
  • Architect robust data pipelines and infrastructure to support real-time inference at scale.
  • Mentor senior engineers and establish best practices for ML development, testing, and monitoring.

The ideal candidate:

  • Extensive experience building and scaling production-grade machine learning systems in a cloud environment.
  • Deep expertise in NLP, recommendation systems, or reinforcement learning with a track record of delivery.
  • Strong proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow.

Principal Machine Learning Engineer at innovative consumer-tech startup in London employer: Jack & Jill

Join an innovative consumer-tech startup in London, where you'll be at the forefront of shaping cutting-edge machine learning solutions that impact millions. With a dynamic work culture that fosters creativity and collaboration, you'll have ample opportunities for professional growth while working alongside a world-class engineering team. Enjoy the unique advantage of being part of a rapidly scaling organisation backed by top-tier venture capital, allowing you to lead high-impact initiatives and influence core business outcomes.

J

Contact Detail:

Jack & Jill Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Machine Learning Engineer at innovative consumer-tech startup in London

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.

Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects. We recommend including any cool recommendation engines or predictive models you've built. This will give potential employers a taste of what you can do!

Tip Number 3

Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with NLP, recommendation systems, and cloud environments. We suggest doing mock interviews to build confidence.

Tip Number 4

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. Let’s get you that Principal Machine Learning Engineer role!

We think you need these skills to ace Principal Machine Learning Engineer at innovative consumer-tech startup in London

Machine Learning
Recommendation Systems
Predictive Modelling
Data Pipeline Architecture
Real-time Inference
NLP (Natural Language Processing)
Reinforcement Learning

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the role of Principal Machine Learning Engineer. Highlight your experience with ML systems, especially in cloud environments, and don’t forget to mention any work with NLP or recommendation systems!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your skills align with our mission at StudySmarter. Be sure to mention specific projects that showcase your expertise.

Showcase Your Technical Skills:We want to see your technical prowess! Include examples of machine learning models you've designed and deployed, and any experience you have mentoring others in best practices for ML development. This will help us see your leadership potential.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Jack & Jill

Know Your ML Stuff

Make sure you brush up on your machine learning knowledge, especially around NLP, recommendation systems, and reinforcement learning. Be ready to discuss specific projects you've worked on and the impact they had. This is your chance to showcase your expertise!

Showcase Your Problem-Solving Skills

Prepare to tackle some technical challenges during the interview. Think about how you would approach designing scalable systems or architecting data pipelines. Practising common ML problems can help you articulate your thought process clearly.

Be Ready to Discuss Team Dynamics

Since mentoring is a key part of this role, be prepared to talk about your experience working with teams. Share examples of how you've guided others in best practices for ML development and how you foster collaboration within a team.

Align with Their Vision

Research the company’s products and their technical roadmap. Understand how your skills can contribute to their goals. Showing that you’re aligned with their mission will demonstrate your genuine interest in the role and the company.