dunnhumby
Tech / AI / Software
SeniorAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Engineer at dunnhumby. Skills: AI, LLMs, agentic frameworks, cloud AI services, Python. Implement observability for AI systems: instrument prompts, model calls, tools and agents with tracing, metrics and build and maintain dashboards and alerts. Help define and run AI testing and evaluation strategies, including automated tests, offline and online evaluation, red‑teaming, regression suites and human‑in‑the‑loop review flows”
What You'll Achieve.
help our clients grow, innovate, and deliver measurable value for their customers
Industry & Context.
problem‑solving skills; a willingness to take ownership of complex technical challenges
What They're Looking For.
Must Have
high-quality, well-tested code in Python (and, where relevant, TypeScript/Java or similar) following team standards for readability, performance and reliability, Ability to design and run evaluation and experimentation for AI features, including quantitative and qualitative measures and, where appropriate, human‑in‑the‑loop review, problem‑solving skills, attention to detail, a willingness to take ownership of complex technical challenges, Clear, proactive communication, the ability to collaborate effectively with product managers, data scientists, engineers and commercial stakeholders across locations
Nice to Have
familiarity with microservices and event‑driven architectures is a plus, LLMs, agentic frameworks, cloud AI services
What You'll Do.
Implement observability for AI systems: instrument prompts
tools and agents with tracing
metrics and build and maintain dashboards and alerts
Help define and run AI testing and evaluation strategies
including automated tests
offline and online evaluation
regression suites and human‑in‑the‑loop review flows
Collaborate with Retail Media and Insight teams to understand use cases and data
and translate requirements into concrete AI components and services
well‑tested code in Python (and
TypeScript/Java or similar) following team standards for readability
performance and reliability
Participate in code reviews
design reviews and incident post‑mortems
and contribute to continuous improvement of our AI engineering practices
Stay current on advances in LLMs
agentic frameworks and cloud AI services
and bring forward ideas for how they can be applied to Tesco Media
Ability to design and run evaluation and experimentation for AI features
including quantitative and qualitative measures and
human‑in‑the‑loop review
How You'll Work.
Team & Collaboration
Collaborate with Retail Media and Insight teams; Participate in code reviews, design reviews and incident post‑mortems; collaborate effectively with product managers, data scientists, engineers and commercial stakeholders across locations
Communication Scope
Clear, proactive communication; ability to collaborate effectively with product managers, data scientists, engineers and commercial stakeholders across locations
Full Job Description
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. Tesco Media use infrastructure as code; support environment management and automated testing. Implement observability for AI systems: instrument prompts, model calls, tools and agents with tracing, metrics and logs; build and maintain dashboards and alerts. Help define and run AI testing and evaluation strategies, including automated tests, offline and online evaluation, red‑teaming, regression suites and human‑in‑the‑loop review flows. Collaborate with Retail Media and Insight teams to understand use cases and data, and translate requirements into concrete AI components and services. Write high‑quality, well‑tested code in Python (and, where relevant, TypeScript/Java or similar) following team standards for readability, performance and reliability. Participate in code reviews, design reviews and incident post‑mortems, and contribute to continuous improvement of our AI engineering practices. Stay current on advances in LLMs, agentic frameworks and cloud AI services, and bring forward ideas for how they can be applied to Tesco Media familiarity with microservices and event‑driven architectures is a plus. Ability to design and run evaluation and experimentation for AI features, including quantitative and qualitative measures and, where appropriate, human‑in‑the‑loop review. Strong problem‑solving skills, attention to detail, and a willingness to take ownership of complex technical challenges. Clear, proactive communication and the ability to collaborate
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