---
title: 'Senior Machine Learning Engineer - Conversational AI at Deliveroo'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-conversational-ai-deliveroo-london-vzjkrxxjmvr6'
type: 'job'
last_seen: '2026-09-13'
---

# Senior Machine Learning Engineer - Conversational AI at Deliveroo

- **Company:** [Deliveroo](https://feeny.ai/companies/deliveroo)
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-11
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/deliveroo/7e3e3128-ff52-45ba-993b-3fb288e04261/application

**Skills:** Python, Generative AI, Agentic AI, LLMs, Transformers, Fine-tuning, Docker, Kubernetes, CircleCI, Machine Learning, Model Evaluation, Generative AI evaluation harnesses, Observability, Monitoring, Safety techniques, Go

> The Senior Machine Learning Engineer will join the Care team to own the full ML lifecycle, building robust monitoring and evaluation frameworks for customer support and high-stakes decision systems. This role involves architecting reliable ML foundations, deploying Generative AI models, and collaborating with produc...

## Job description

Senior Machine Learning Engineer - Conversational AI Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Senior Machine Learning Engineer to join our London team. In this role, you’ll help shape the decision-making systems that directly impact customer experience, trust, and fairness at Deliveroo. This role is based in our London office with a hybrid setup, typically 3 days in the office.

## What You’ll Be Doing

You’ll be joining the Care team. Care is an area with significant opportunity and real customer impact; you’ll take ownership of existing models and help define strong ML foundations in spaces that are still evolving, from LLM-powered automation to customer compensation logic. Here’s what your day-to-day might look like:

- Own the full ML lifecycle: Lead the design, development, and productionisation of machine learning models used in customer support and high-stakes decision systems.
- Architect for reliability: Build robust monitoring, evaluation, and alerting frameworks to detect model underperformance, drift, or unexpected behaviour in real-time.
- Collaborate on product strategy: Partner closely with Product Managers to turn ambiguous customer problems into robust, scalable ML solutions.
- Drive technical excellence: Provide technical leadership in areas with unclear ownership, setting the gold standard for ML quality, reliability, and maintainability.
- Bridge science and engineering: Work with data scientists and engineers across the global organisation to embed models into high-performance, scalable systems.

## What You’ll Need to Thrive

Essential

- Significant experience as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in Python.
- Demonstrated ownership of productionising Generative AI workstreams or Agentic AI projects, including a deep understanding of LLMs, transformers, and fine-tuning.
- Proven ability to deploy and manage models using modern infrastructure tools such as Docker, Kubernetes, and CircleCI.
- Strong foundational knowledge of traditional ML and evaluation techniques, balanced with a bias for simplicity and measurable business impact.
- A collaborative mindset with experience mentoring peers and a drive to solve complex, real-world problems at scale.

## Nice to Have

- Experience with evaluation harnesses and frameworks specifically designed for Generative AI.
- Familiarity with observability, monitoring, and safety techniques for deployed GenAI systems.
- Experience working with 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. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our [Tech Blog](https://deliveroo.engineering/).

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.

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’re committed to fostering an environment where everyone can do their best work and feel they belong. 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 require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!

## About Deliveroo

## Company Overview
- **One-liner**: Deliveroo operates a hyperlocal three-sided marketplace that connects consumers, restaurants and grocers, and riders to deliver food and other neighbourhood goods in under 30 minutes.
- **Entity Type**: Public (London Stock Exchange: ROO)
- **Headquarters**: London, United Kingdom
- **Founded**: 2013
- **Founders**: Will Shu

## Core Business
- **Primary industry**: Online food delivery and on-demand grocery / local commerce
- **Target customers**: B2C (consumers), B2B (restaurants, grocers, retailers), and B2C (riders as independent contractors)
- **Mission or purpose**: To transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders.

## Products & Services
- **Restaurant Delivery**: Core service delivering meals from over 160,000 restaurant and grocery partners, many of which never offered delivery before.
- **Deliveroo Hop**: Rapid on-demand grocery delivery from a network of delivery-only sites, rolling out in several markets.
- **Deliveroo Shopping**: Non-food retail delivery, bringing items from local shops (e.g., flowers, cards, electronics) to consumers.
- **Editions**: Delivery-only kitchens that help restaurants expand to new areas at lower cost and risk, powered by Deliveroo’s data insights.

## Market Standing
- **Valuation/Market Cap**: Publicly traded – market cap not provided in available materials; check financial sources for latest figure.
- **Key Metric**: Operates in 10 markets worldwide, serving millions of consumers with thousands of riders and 160,000+ restaurant/grocery partners.
- **Notable Investors/Partners**: Key grocery partners include Co-op, Conad, Carrefour, Casino, Marks and Spencer, Picard, Waitrose, and Whole Foods Market. (Prior venture investors not detailed in provided sources.)
- **Growth Signals**: Expanding on-demand grocery via Deliveroo Hop; launching Deliveroo Shopping for non-food items; continuous investment in machine learning logistics (Frank algorithm); growing Editions network.

## Competitive Advantages
- **Hyperlocal logistics technology**: Proprietary Frank algorithm uses machine learning to optimise routing, preparation times, and delivery efficiency neighbourhood by neighbourhood.
- **Three-sided marketplace**: Deep network effects connecting consumers, merchants, and riders – hard to replicate at scale.
- **Editions (delivery-only kitchens)**: Lowers barrier for restaurant expansion and increases selection in underserved areas.
- **Rider value proposition**: Free personal accident and third-party liability insurance for all self-employed riders from day one, flexible work, and good earnings.

## Strategic Focus
- **Grocery and retail expansion**: Scaling Deliveroo Hop and Deliveroo Shopping to become the definitive online food and neighbourhood commerce platform.
- **Technology leadership**: Continued investment in real-time coordination, machine learning, and logistics optimisation.
- **Market penetration**: Deepening presence in existing 10 markets while improving selection, experience, and value for consumers.

## Why Work Here
- **Culture**: Values-driven, innovative, and inclusive – Employee Resource Groups, regular social events, and a focus on career-defining work.
- **Work environment**: Offices across the UK (London HQ, Birmingham, Bristol, Edinburgh, Leeds, Manchester) with excellent kit for remote work and a parent-friendly culture.
- **Benefits (UK)**:
  - 25 days annual leave + bank holidays, increasing with tenure; one paid volunteer day per year.
  - Competitive compensation, annual cash bonus, sign-on bonus, relocation support, and up to 5% matched pension.
  - Equity awards for eligible roles.
  - Private healthcare (single cover funded), gym access (HQ on-site, discounted external), wellbeing apps (LesMills+, Strava, Headspace, Yogaia) via GymPass.
  - Life assurance, discounted dental, critical illness cover, travel insurance.
  - Free Deliveroo Plus (free delivery), team lunches from local restaurants.
  - Cycle to Work Scheme, Season Ticket Loans, free mortgage advice.
  - Excellent learning & development via RooLearn platform.
- **Engineering culture**: Tackle complex scale and machine learning problems coordinating millions of real-time interactions across a three-sided marketplace.

## Sources
1. [deliveroo.co.uk](https://deliveroo.co.uk/about-us) – Company overview, history, products, and values.
2. [careers.deliveroo.co.uk](https://careers.deliveroo.co.uk/) – Career page with mission, culture, and team size.
3. [careers.deliveroo.co.uk](https://careers.deliveroo.co.uk/locations/united-kingdom/) – UK-specific benefits, office locations, and compensation details.
4. [careers.deliveroo.co.uk](https://careers.deliveroo.co.uk/how-we-hire/) – Hiring process and interview tips.

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- [Corporate Account Manager](https://feeny.ai/job/corporate-account-manager-deliveroo-london-6kvsjt0seq27) — London, United Kingdom
- [Staff Machine Learning Engineer - Ads Bidding](https://feeny.ai/job/staff-machine-learning-engineer-ads-bidding-deliveroo-london-qvsebp47gxxn) — London, United Kingdom
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- [Senior Manager, Rider Onboarding and Compliance](https://feeny.ai/job/senior-manager-rider-onboarding-and-compliance-deliveroo-manchester-fbwyj492zkz4) — Manchester, United Kingdom