How we work - Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. The Interview Process: Our process is clear and respectful of your time: Initial
Relevance is based on skills and concepts — not a guarantee that you qualify.
Covered skills: AI fundamentals Machine learning Deep learning LLM evaluation
Skills to close: None listed
Build the skills for this job
Coming-soon courses matched to this posting — outline, waitlist, and skill path.
1. Operational Data Preparation and Pipeline Design
Transform messy operational data into reliable inputs for AI systems through robust pipeline architecture.
2. Model Selection and Deployment Architecture
Choose appropriate AI approaches and design deployment architectures that meet latency, cost, and reliability requirements.
3. Workflow Integration and User Experience Design
Embed AI outputs into existing workflows where users can act on them effectively and provide feedback.
4. Grounding Mechanisms and Reliability Guardrails
Add constraints and verification layers that prevent hallucinations, errors, and out-of-bounds outputs.
5. Evaluation Frameworks and Metrics Design
Measure what matters by designing evaluation systems that track accuracy, business impact, and failure modes.
6. Feedback Collection and Continuous Improvement
Design systems that capture user feedback and operational signals to improve model performance over time.
7. Governance, Documentation, and Stakeholder Communication
Establish processes that make AI systems auditable, maintainable, and understandable to non-technical stakeholders.
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Applied Scientist/Machine Learning Engineer, Gaia employer: EducationPals
Deliveroo UK is an exceptional employer that champions innovation and collaboration, particularly in the dynamic field of AI-driven customer experience. With a strong focus on employee growth, you will have access to extensive professional development opportunities while working in a vibrant culture that values creativity and teamwork. Located in the heart of the UK, our team enjoys a supportive environment that encourages bold ideas and fosters meaningful contributions to enhance customer engagement and retention.
