Senior Machine Learning Engineer
Senior Machine Learning Engineer

Senior Machine Learning Engineer

London Full-Time 43200 - 72000 Β£ / year (est.) No home office possible
D

At a Glance

  • Tasks: Join us as a Senior Machine Learning Engineer to develop cutting-edge AI models and enhance customer experiences.
  • Company: Deliveroo is a tech-driven food company transforming how the world eats with innovative solutions.
  • Benefits: Enjoy remote work options, free Deliveroo Plus, generous leave, and wellness perks.
  • Why this job: Be part of a dynamic team solving exciting challenges in a fast-growing industry with significant impact.
  • Qualifications: 3-5 years in deep learning and NLP, with strong skills in PyTorch and model deployment.
  • Other info: Diversity and inclusion are core values; we welcome all backgrounds and offer support for applicants.

The predicted salary is between 43200 - 72000 Β£ per year.

Overview Senior Machine Learning Engineer – Care
Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our engineering and product teams tackle some of the most exciting challenges in tech, building systems that impact millions daily.
The Data + Science Team
At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We have over 250 Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and platform teams.
We have a strong, active data science community; a robust technical review process; a career progression framework; and plenty of opportunities to learn new things.
The Role
We\’re looking for a Senior Machine Learning Engineer to join our Care team. In this role, you\’ll help shape the decision making systems that directly impact customer experience, trust, and fairness at Deliveroo.
Care is an area with significant opportunity and real customer impact. This is a new headcount role where you\’ll take ownership of existing models and help define strong ML foundations in spaces that are still evolving.
Your Work Will Span Two Equally Impactful Areas
LLM powered customer support and automation
Customer compensation and refund decisions
You\’ll help build and evolve machine learning systems that understand customer sentiment and tone of voice, supporting a customer support chatbot powered by large language models. A key part of this work is ensuring quality, reliability, and trust in production ML systems. You\’ll design and build machine learning models from the ground up to move beyond static rules and heuristics. These models will determine fair and consistent compensation outcomes across a wide range of customer scenarios, balancing customer satisfaction, cost, and long term trust.
Here\’s what your day to day might look like:
Owning the design, development, and productionisation of machine learning models used in customer support and decision making systems
Building monitoring, evaluation, and alerting frameworks to detect model underperformance, drift, or unexpected behaviour
Partnering closely with Product Managers, including teams working on decision platforms and customer experience, to turn ambiguous problems into robust ML solutions
Working with data scientists and engineers across Deliveroo to productionise models and embed them into scalable systems
Providing technical leadership in areas with unclear ownership, setting best practices for ML quality, reliability, and maintainability
Requirements 5+ years\’ experience as an ML Engineer or Data Scientist
5+ years\’ experience writing production code in Python
Experience using tools like Git, Docker, Kubernetes, CircleCI
Experience productionising Generative AI workstreams or Agentic AI projects
You know the fundamentals of Generative AI and have a good understanding of the science behind it, including LLMs, VLMs, transformers and fine-tuning techniques.
A robust understanding of traditional ML and evaluation techniques, and a good understanding of the research and developments around Generative AI evaluation techniques.
You get satisfaction from seeing your work shipped and driving measurable impact to the business
Experience mentoring others in the team.
You have a bias to simplicity, where you care most about achieving impact
Bonus Experience with evaluation harnesses and frameworks for Generative AI
Experience with observability, monitoring, and safety techniques for deployed GenAI systems
Experience in strongly typed languages such as Go
Why Join Us? At Deliveroo, you\’ll do work that matters, solving real world problems in a three sided marketplace that\’s constantly evolving.
Working Here You Can Expect High autonomy to own problem spaces and build ML systems that directly impact customer trust and experience
Support to learn and grow, from mentoring to learning and development programmes
A strong focus on wellbeing, with benefits including Headspace, Gympass, and more
A place to belong, with a global workforce and active employee communities
Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long term health condition and need support to apply for one of our roles, or if you require any reasonable adjustments during the recruitment process, please contact our recruitment team at accommodations@deliveroo.co.uk and we\’ll be happy to help ensure you have a fair and equitable experience.
Ready to help shape the future of customer care and trust at Deliveroo? Apply today.

#J-18808-Ljbffr

D

Contact Detail:

Deliveroo Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Senior Machine Learning Engineer

✨Tip Number 1

Familiarise yourself with Deliveroo's mission and values. Understanding how they aim to transform the food industry will help you align your answers during interviews and demonstrate your passion for their goals.

✨Tip Number 2

Engage with the data science community at Deliveroo by following their social media channels or joining relevant forums. This can provide insights into their projects and culture, which you can reference in conversations.

✨Tip Number 3

Prepare to discuss specific machine learning projects you've worked on, especially those involving LLMs and deep learning frameworks like PyTorch. Be ready to explain your thought process and the impact of your work.

✨Tip Number 4

Showcase your communication skills by practising explaining complex ML concepts in simple terms. This is crucial as you'll need to collaborate with both technical and non-technical team members at Deliveroo.

We think you need these skills to ace Senior Machine Learning Engineer

Strong understanding of machine learning fundamentals
3-5+ years' experience with deep learning and NLP
Hands-on experience fine-tuning LLMs
Experience with PyTorch or other deep learning frameworks
Familiarity with Hugging Face Transformers
Proven experience deploying ML models to production
End-to-end ML pipeline maintenance
Solid communication skills for technical and non-technical audiences
Pragmatic mindset focused on simplicity and scalability
Ability to collaborate with cross-functional teams

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, deep learning, and NLP. Focus on specific projects where you've used PyTorch or Hugging Face, and detail your role in deploying ML models to production.

Craft a Compelling Cover Letter: In your cover letter, express your passion for the role and the company. Mention how your skills align with Deliveroo's mission and the specific challenges they face in the Catalogue Gen AI team.

Showcase Your Communication Skills: Since solid communication skills are essential, provide examples of how you've effectively communicated complex technical concepts to both technical and non-technical audiences in your application.

Highlight Your Problem-Solving Abilities: Discuss specific instances where you've tackled challenging problems in machine learning. Emphasise your pragmatic mindset and focus on simplicity and scalability in your solutions.

How to prepare for a job interview at Deliveroo

✨Showcase Your Technical Skills

Be prepared to discuss your experience with deep learning and NLP in detail. Highlight specific projects where you've fine-tuned LLMs or used frameworks like PyTorch and Hugging Face. Demonstrating your hands-on experience will show that you can hit the ground running.

✨Understand the Business Impact

Deliveroo values a pragmatic mindset focused on simplicity and scalability. Be ready to explain how your previous work has directly impacted business outcomes. This will resonate well with the interviewers, as they are looking for candidates who understand the bigger picture.

✨Prepare for Collaborative Scenarios

Since the role involves working closely with cross-functional teams, think of examples where you've successfully collaborated with others. Discuss how you communicated complex technical concepts to non-technical stakeholders, as strong communication skills are essential for this position.

✨Ask Insightful Questions

Prepare thoughtful questions about Deliveroo's data science community and the challenges they face. This shows your genuine interest in the role and the company. Inquire about their current projects or future directions in AI, which can also help you gauge if it's the right fit for you.

Senior Machine Learning Engineer
Deliveroo
Location: London

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

D
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>