Staff ML Engineer — Real-Time Pricing & Optimization in London
Staff ML Engineer — Real-Time Pricing & Optimization

Staff ML Engineer — Real-Time Pricing & Optimization in London

London Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement machine learning systems for optimising pricing and delivery processes.
  • Company: Leading food delivery firm in London with a focus on innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for technical leadership.
  • Why this job: Make a real impact on pricing strategies and delivery efficiency in a dynamic environment.
  • Qualifications: Strong foundations in machine learning and excellent communication skills required.
  • Other info: Collaborate with cross-functional teams and grow your career in a fast-paced industry.

The predicted salary is between 48000 - 72000 £ per year.

A leading food delivery firm in London is seeking a Staff Machine Learning Engineer to design and implement systems that optimize pricing strategies and delivery processes.

Candidates should have strong foundations in machine learning, experience with impactful algorithms, and excellent communication skills.

The role involves collaboration with cross-functional teams and provides opportunities for technical leadership within a dynamic environment, contributing to real-world decision-making systems.

Staff ML Engineer — Real-Time Pricing & Optimization in London employer: Deliveroo

As a leading food delivery firm in London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a real impact. With a focus on professional growth, we offer extensive training and development opportunities, ensuring that our team members can advance their careers while contributing to cutting-edge projects in machine learning and optimization. Join us to be part of a dynamic environment where your expertise will shape the future of food delivery.
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Contact Detail:

Deliveroo Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff ML Engineer — Real-Time Pricing & Optimization in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those working at the company you're eyeing. A friendly chat can open doors and give you insider info on what they're really looking for.

Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to pricing strategies or optimisation. This will help us see your practical experience and how you can contribute to real-world decision-making systems.

Tip Number 3

Prepare for the interview by brushing up on your algorithms and communication skills. We want to see how you think and collaborate with cross-functional teams, so practice explaining your thought process clearly and confidently.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our dynamic team.

We think you need these skills to ace Staff ML Engineer — Real-Time Pricing & Optimization in London

Machine Learning
Pricing Strategies
Algorithm Development
Communication Skills
Cross-Functional Collaboration
Technical Leadership
Real-Time Systems
Decision-Making Systems

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your strong foundations in machine learning and any impactful algorithms you've worked with. We want to see how your experience aligns with the role, so don’t hold back!

Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your skills can optimise pricing strategies and delivery processes, as that’s what we’re all about at StudySmarter.

Communicate Clearly: Since excellent communication is key, ensure your application is clear and concise. We love candidates who can articulate their thoughts well, especially when it comes to complex topics like machine learning.

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 with us at StudySmarter.

How to prepare for a job interview at Deliveroo

Know Your Algorithms

Brush up on your machine learning algorithms, especially those related to pricing and optimisation. Be ready to discuss how you've applied these in past projects, as this will show your practical experience and understanding of impactful algorithms.

Showcase Your Communication Skills

Since the role involves collaboration with cross-functional teams, practice explaining complex concepts in simple terms. Prepare examples where you successfully communicated technical ideas to non-technical stakeholders, highlighting your ability to bridge gaps between teams.

Prepare for Technical Leadership Questions

Expect questions about your approach to leading projects and mentoring others. Think of specific instances where you took charge or guided a team through challenges, as this will demonstrate your readiness for a leadership role in a dynamic environment.

Understand the Company’s Mission

Research the food delivery firm and understand their pricing strategies and delivery processes. Being able to discuss how your skills align with their goals will show your genuine interest in the position and help you stand out as a candidate.

Staff ML Engineer — Real-Time Pricing & Optimization in London
Deliveroo
Location: London
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  • Staff ML Engineer — Real-Time Pricing & Optimization in London

    London
    Full-Time
    48000 - 72000 £ / year (est.)
  • D

    Deliveroo

    1000-5000
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