Job Overview
Location
London - The River Building HQ
Job Type
Full-time
Category
Software Engineer
Date Posted
July 21, 2026
Full Job Description
đź“‹ Description
- • 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.
🎯 Requirements
- • 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
🏖️ Benefits
- • Competitive salary
- • Stock options
- • Flexible working hours
- • Access to the latest technologies and tools
- • Opportunities for professional growth and development
- • Collaborative and dynamic work environment
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Deliveroo Holdings plc
Deliveroo operates an online food-delivery marketplace connecting consumers with restaurants and grocery retailers through a logistics network of riders. Founded in 2013 in London, the platform processes orders via mobile and web, manages dispatch, and provides data analytics to partners. Revenue comes from commissions, delivery fees, and subscription memberships. It serves urban markets across Europe, Asia-Pacific, and the Middle East, holding licenses as a technology intermediary and courier service provider.
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