SOFTWARE ENGINEER, MACHINE LEARNING INFRASTRUCTURE - GENERATIVE AI

ABOUT THE TEAM

Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash,

Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. Our mission

is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and

VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning

on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and

visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals

infrastructure, guardrails, and cost attribution.

ABOUT THE ROLE

You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, with a

primary focus on our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch

inference, and model fine-tuning. You’ll work across model serving and inference engines, fine-tuning and training pipelines, GPU

autoscaling and utilization, batch pipelines, backend services, and observability. This role is ideal for an engineer who enjoys

pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model

capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly.

YOU’RE EXCITED ABOUT THIS OPPORTUNITY BECAUSE YOU WILL…

Build the infrastructure that helps Deliveroo teams move GenAI ideas from prototype to production, increasing the velocity of

business impact from AI across the company.

Work on our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning

(SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution.

Design scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real

customer and internal automation use cases

Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost

by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability,

fallback, observability, and cost controls built in.

Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs,

playbooks, and operational excellence.

Partner closely with ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo

to turn emerging GenAI capabilities into durable platform primitives.

Shape the future of the centralized GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR),

agent optimization, and other post-training and agentic techniques — enabling the next generation of AI-powered products,

agents, automation, and personalization.

WE’RE EXCITED ABOUT YOU BECAUSE YOU HAVE…

BSc, MSc, or PhD in Computer Science or equivalent

3+ years of industry experience in software engineering

Strong backend engineering fundamentals, especially in Python and distributed systems.

Experience building production services, APIs, data pipelines, or ML infrastructure at scale.

Experience operating systems in production, including observability, debugging, reliability, incident response, and

performance/cost optimization.

Hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput,

batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA).

Ability to work across ambiguous, fast-moving technical areas and turn customer use cases into reusable platform capabilities

Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including

designing, generating code, testing, monitoring and releasing software

NICE TO HAVES

Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production

Experience with distributed/multi-node fine-tuning and training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and

evaluation

GPU performance work — multi-node/distributed inference, KV-cache/memory optimization, quantization (FP8/INT8/AWQ/GPTQ), or

cold-start/throughput tuning

Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or

high-throughput batch systems

Experience with LLM gateways, model routing, vendor abstraction, or cost attribution

Experience building developer platforms, internal platforms, or self-serve infrastructure

Experience building and deploying AI agents or MCP servers in production

Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases

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!

Roll

Software Engineer, Machine Learning Infrastructure

Plats

London - The River Building HQ, Storbritannien

Publicerad

20 juli

Sista ansökningsdag

20 augusti

Källa

Arbetsgivarens hemsida

Taggar för det här jobbet

Python AWS GCP Kubernetes AI Machine Learning

Liknande jobb

Software Engineer, GenAI Platform

Deliveroo•London - The River Building HQ

SOFTWARE ENGINEER, GENAI PLATFORM ABOUT THE TEAM Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. ABOUT THE ROLE You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, with a primary focus on our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll work across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability. This role is ideal for an engineer who enjoys pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. YOU’RE EXCITED ABOUT THIS OPPORTUNITY BECAUSE YOU WILL… * Build the infrastructure that helps Deliveroo teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. * Work on our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. * Design scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use cases * Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability, fallback, observability, and cost controls built in. * Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. * Partner closely with ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. * Shape the future of the centralized GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimization, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalization. WE’RE EXCITED ABOUT YOU BECAUSE YOU HAVE… * BSc, MSc, or PhD in Computer Science or equivalent * 3+ years of industry experience in software engineering * Strong backend engineering fundamentals, especially in Python and distributed systems. * Experience building production services, APIs, data pipelines, or ML infrastructure at scale. * Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. * Hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA). * Ability to work across ambiguous, fast-moving technical areas and turn customer use cases into reusable platform capabilities * Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software NICE TO HAVES * Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production * Experience with distributed/multi-node fine-tuning and training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluation * GPU performance work — multi-node/distributed inference, KV-cache/memory optimization, quantization (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning * Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or high-throughput batch systems * Experience with LLM gateways, model routing, vendor abstraction, or cost attribution * Experience building developer platforms, internal platforms, or self-serve infrastructure * Experience building and deploying AI agents or MCP servers in production * Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases 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!

Sista ansökan: 20 aug.Publicerad: 20 juli

PythonAWSGCP

Machine Learning Engineer

Deliveroo•London - The River Building HQ

MACHINE LEARNING ENGINEER 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 several Machine Learning Engineers to join our London (hybrid) teams. WHAT YOU’LL BE DOING In this role, you’ll help us develop the algorithmic and machine-learning systems that power Deliveroo, making automated decisions at massive scale across our three-sided marketplace. Based on the team you join and the vacancies we currently have, here's what your role may look like: 1. Rider Pricing – improving our next-generation rider pricing models that algorithmically set fees for riders for the order assignments we make. 2. Delivery – working on models that predict delivery times across our platform, powering both the consumer experience and our dispatch systems. 3. New Verticals – developing recommendation and catalogue-quality models that help customers discover the right grocery and retail items while supporting growth and efficiency. Irrespective of the team, you will: * Design and build sophisticated machine learning models to solve fuzzy business problems * Productionise end-to-end ML solutions, moving from initial concept to shipping code that drives measurable impact on our global marketplace. * Collaborate in cross-functional squads alongside software engineers, data scientists, and product managers to build intelligent decision-making machines. WHAT YOU’LL NEED TO THRIVE Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: * Experience applying algorithmic solutions to complex business problems at scale. * Deep understanding of machine learning fundamentals and a proven ability to know when and how to apply them effectively. * Demonstrated ownership of end-to-end model productionisation, with a strong background in software engineering principles. * A bias for simplicity and a focus on achieving tangible business impact over theoretical complexity. * Exceptional programming and statistical skills, with the ability to translate ambiguous objectives into technical reality. 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. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. 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!

Sista ansökan: 16 aug.Publicerad: 29 apr.

Machine Learning

Senior Machine Learning Engineer

Deliveroo•London - The River Building HQ

SENIOR MACHINE LEARNING ENGINEER 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 several Senior Machine Learning Engineers to join our London teams. WHAT YOU’LL BE DOING In this role, you’ll help us develop the algorithmic and machine-learning systems that power Deliveroo, making automated decisions at massive scale across our three-sided marketplace. Based on the team you join, here's what your role may look like: 1. Ads – building and productionising ranking and bidding models that decide which sponsored content to show, balancing advertiser outcomes with a high-quality user experience. 2. New Verticals – developing recommendation and catalogue-quality models that help customers discover the right grocery and retail items while supporting growth and efficiency. 3. Consumer – improving modern recommendation, ranking and search systems that shape how customers discover and choose what to order, driving engagement and long-term growth. 4. Care – building ML and LLM-powered systems that support customer care operations, from understanding intent and sentiment to suggesting fair and consistent resolutions. 5. Merchants – owning and evolving core ML models that support our merchant ecosystem (for example around classification, matching and lead-scoring), and building new models and AI agents that help partners grow their business. Irrespective of the team, you will: * Design and build sophisticated machine learning models to solve fuzzy business problems * Productionise end-to-end ML solutions, moving from initial concept to shipping code that drives measurable impact on our global marketplace. * Collaborate in cross-functional squads alongside software engineers, data scientists, and product managers to build intelligent decision-making machines. * Mentor junior colleagues and contribute to our robust technical review process to maintain high engineering standards. WHAT YOU’LL NEED TO THRIVE Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: * Significant experience applying algorithmic solutions to complex business problems at scale. * Deep understanding of machine learning fundamentals and a proven ability to know when and how to apply them effectively. * Demonstrated ownership of end-to-end model productionisation, with a strong background in software engineering principles. * A bias for simplicity and a focus on achieving tangible business impact over theoretical complexity. * Exceptional programming and statistical skills, with the ability to translate ambiguous objectives into technical reality. 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. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. 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!

Sista ansökan: 16 aug.Publicerad: 9 apr.

AIMachine Learning