Senior AI Engineer
About the job
- A Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
- 8+ years of software engineering experience, including 3+ years building production AI/ML applications.
- Strong grounding in distributed systems, cloud-native architecture, and microservices.
- A track record delivering enterprise-grade AI solutions from proof of concept to production.
- Expert Python skills; proficiency in TypeScript or JavaScript, SQL, asynchronous programming, REST, gRPC, and design patterns.
- Knowledge of large language models, prompt engineering, embeddings, retrieval-augmented generation, hybrid search, agentic AI, tool or function calling, MCP, A2A, model training and fine-tuning, hyperparameter optimization, GPU optimization, and quantization.
- Experience with AI frameworks including LangChain, LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, AutoGen, LlamaIndex, Semantic Kernel, DSPy, and Pydantic AI.
- Experience with Google Vertex AI, Azure AI Foundry, Azure OpenAI, and Model Garden.
- Experience with PyTorch, TensorFlow, Hugging Face, MLflow, Kubeflow, model registries, experiment tracking, and continuous training.
- Experience with AgentOps and observability tools including LangSmith, Langfuse, Arize Phoenix, OpenTelemetry, Grafana, and New Relic.
- Experience with vector databases and search systems including Pinecone, Weaviate, Milvus, pgvector, Vertex AI Vector Search, and Azure AI Search.
- Experience with Docker, Kubernetes, Terraform, ArgoCD, GitHub Actions or Azure DevOps, continuous integration and continuous delivery, and infrastructure as code.
- Experience with Temporal, Argo Workflows, event-driven architecture, and message queues.
- Build reusable, scalable AI services for prompt orchestration, model routing, embeddings, structured generation, and tool calling.
- Develop configurable multi-provider AI runtimes and secure cloud-native microservices.
- Design multi-agent and autonomous systems with reasoning, planning, memory, and tool execution.
- Build graph-based, long-running workflows with human-in-the-loop checkpoints using MCP and A2A.
- Build enterprise-grade retrieval-augmented generation pipelines covering ingestion, chunking, embeddings, hybrid search, reranking, citations, and retrieval-quality evaluation.
- Train, fine-tune, and evaluate machine learning and deep learning models using LoRA, QLoRA, and PEFT.
- Build training pipelines, run experimentation and hyperparameter optimization, and productionize models with data science partners.
- Deploy, monitor, and continuously improve agents and models in production, including experiment tracking, model registry, versioning and rollback, drift and cost monitoring, continuous integration and delivery, and canary or blue-green deployments.
- Implement guardrails for hallucination, prompt injection, and personally identifiable information, and establish evaluation, monitoring, and responsible-AI compliance practices.
- Build and deploy cloud-native AI services on Google Cloud Platform and Azure with autoscaling, observability, and distributed tracing, owning services from build through production support.
- Build responsive React-based interfaces for chat, copilots, prompt playgrounds, and agent or evaluation dashboards integrated via REST, server-sent events, and WebSockets.
- Write clean, tested code; drive architecture reviews and code reviews; and mentor engineers.
About the company
Dunnhumby helps retailers and consumer brands improve customer experiences through data science, offering services like media solutions, customer insights, and personalized marketing, plus Dunnhumby Ventures. It analyzes shopper data from browsers and internet devices using unique identifiers (without directly storing personal information) to derive actionable insights that inform targeted campaigns and personalized programs. The company stands out by combining retail-focused data science with a broad services suite and an active venture fund to stay ahead in retail technology. Its goal is to empower retailers and brands to deliver better, data-informed customer experiences that drive sales and engagement.
Company Size
1,001-5,000
Company Stage
Acquired
Total Funding
N/A
Headquarters
London, United Kingdom
Founded
1989
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Simplify's Take
What believers are saying
- September 18, 2026 Azoma investment pushes dunnhumby into agentic commerce measurement.
- May 5, 2026 Campaign named Tesco Media Retail Media category winner.
- July 9, 2026 AI-assisted grocery research strengthens dunnhumby's customer-behavior thought leadership.
What critics are saying
- Jamie Samaha replaced Josh Bottomley on July 20, 2026, resetting execution during expansion.
- Retail media rivals Kevel, Tesco, Walmart, and Amazon compress pricing and steal budgets quickly.
- If Tesco internalizes the stack, dunnhumby loses its distribution moat and data advantage.
What makes dunnhumby unique
- Tesco ownership and 400 million-household shopper data anchor proprietary retail intelligence.
- June 19, 2026 network alliance connects Tesco, B&Q, John Lewis, and Waitrose pilots.
- June 2026 Retail Innovation Forum and venture arm funnel startups into client deployments.
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Benefits
Flexible Work Hours
Unlimited Paid Time Off
Remote Work Options
Company News
Dunnhumby reports €26.2m Irish revenue as retail data specialist posts 16pc growth. Home Economy Irish Households Face €1,000 Surge in Living Costs as Price Rises Offset... Irish Households Face €1,000 Surge in Living Costs as Price Rises Offset budget relief. September 24, 2026 Irish households are bracing for a €1,000 increase in average annual spending as a wave of price rises threatens to eliminate any financial relief delivered in the forthcoming budget, according to new analysis. The surge in living costs comes as inflation continues to outpace wage growth and government support measures across the country. Consumer advocacy groups and economic analysts warn that higher prices across essential goods and services will effectively neutralise budget measures aimed at easing the cost-of-living burden on families throughout Ireland. Key facts. * Average Irish household spending set to increase by €1,000 annually due to inflation * Price rises across essential goods and services will offset budget relief measures * Multiple sectors experiencing upward pressure on consumer costs in September 2026 * Budget gains for consumers expected to be completely wiped out by mounting expenses Inflation pressures mount across multiple sectors. The €1,000 additional burden on households stems from persistent inflationary pressures affecting a broad range of consumer categories. Energy costs, food prices, transport expenses, and housing-related charges are all contributing to the cumulative impact on family budgets. The timing of these increases coincides with the budget announcement period, creating a stark contrast between government assistance and market realities. Industry observers note that the scale of price increases represents a significant challenge for policymakers attempting to deliver meaningful support to Irish consumers. While budget measures traditionally provide short-term relief through tax credits, welfare increases, or targeted subsidies, the sustained nature of current price growth is overwhelming these interventions. Impact on household financial planning. Financial experts advise Irish families to reassess their budgets and spending priorities in light of the projected cost increases. The €1,000 figure represents approximately 2-3% of median household income, a substantial erosion of purchasing power that will affect discretionary spending and savings capacity. The situation places particular pressure on lower and middle-income households, who typically allocate a higher proportion of their income to essential goods and services most affected by inflation. Mortgage holders, renters, and families with childcare expenses face compounding pressures as multiple cost categories rise simultaneously. Economic outlook and consumer confidence. The outlook for Irish consumers remains challenging as inflationary trends show little sign of abating in the near term. Retailers and service providers continue to pass increased input costs onto customers, citing higher wages, supply chain disruptions, and elevated commodity prices as driving factors. Consumer confidence indicators may face downward pressure as households recognise that budget gains will prove insufficient to maintain their standard of living. This could have knock-on effects for retail spending, hospitality sector performance, and overall economic growth as families become more cautious with their finances. Economic commentators emphasise that addressing the structural drivers of inflation will require coordinated action beyond annual budget measures. Supply-side reforms, competition policy enforcement, and targeted interventions in key sectors may prove necessary to bring price growth back under control and restore real income growth for Irish households. As the budget approaches, the challenge for government will be setting realistic expectations about what fiscal measures can achieve in the face of persistent inflation, while simultaneously demonstrating commitment to protecting household living standards through this extended period of economic pressure.
Corsearch names Nicholas Langeveld as Chief Revenue Officer. Wed, 23rd Sep 2026 (Today) Corsearch has appointed Nicholas Langeveld as Chief Revenue Officer, expanding its commercial leadership team. Langeveld will oversee Sales, Account Management, Marketing and Revenue Operations across Corsearch's global business. His remit includes connecting how the company sells to customers, onboards them and supports them across trademark clearance, portfolio strategy, enforcement and online protection. The appointment comes as companies place greater emphasis on brands and other intangible assets, which executives increasingly see as a board-level concern. Corsearch argues that risks such as counterfeit goods, digital impersonation, trademark conflicts, unauthorised content and online fraud are putting pressure on the trust that underpins brand value. Langeveld joins from dunnhumby, the Tesco-owned customer data science business, where he served as Chief Growth Officer. He brings more than 20 years of commercial leadership experience across data, analytics and artificial intelligence businesses. Earlier in his career, he spent six years as Chief Executive Officer of Affectiva, a consumer insight platform, where he helped expand the business to more than 1,400 brand clients in 75 countries. He also held senior roles at Toluna and MetrixLab, and worked at Nielsen after its acquisition of BuzzMetrics and before its public listing. Commercial focus His role will focus on building a more integrated commercial organisation around a single objective tied to customer brand value. Corsearch serves more than 5,000 organisations, including 73 of the Fortune 100, and employs more than 1,500 people across North America, Europe and Asia. Its business spans trademark intelligence, online brand protection and content protection. Corsearch says it combines data, artificial intelligence tools and specialist staff to help businesses identify threats and manage intellectual property decisions throughout the life of a brand. Todd Morris, Chief Executive Officer of Corsearch, linked the hire to changing customer demands around brand protection and trust. "Nick has built his career on the idea that durable growth follows from understanding customers better than anyone else and organizing around what they are trying to achieve," said Todd Morris, Chief Executive Officer of Corsearch. "Our customers' brands are worth what consumers are willing to trust them with, and Nick understands that protecting that trust is how you elevate Brand IP. As Brand IP becomes a boardroom concern for more of our customers, that is exactly the leadership our commercial organization needs." Leadership build-out Langeveld's appointment follows the arrival of Morris as Chief Executive Officer earlier this year, as Corsearch continues to reshape its senior leadership team. It is aligning its commercial strategy more closely with what it describes as the value of customers' brand intellectual property. That approach reflects a wider shift in corporate priorities as more companies seek to protect revenue, reputation and customer relationships from online abuse and infringement. Businesses face a growing volume of threats across marketplaces, social platforms and digital channels, while artificial intelligence has accelerated both brand creation and misuse. Langeveld said his immediate focus would be customer conversations and understanding how clients define value in their intellectual property portfolios. "What drew me to Corsearch is that the value of a brand's IP portfolio is really a measure of how much consumers trust what it stands for," said Nicholas Langeveld, Chief Revenue Officer of Corsearch. "Protect that trust and the asset appreciates. Let it erode and everything else follows. My first priority is to spend time with our customers and understand what elevating that value looks like from where they sit, because our growth should be a reflection of theirs, and I want them to hold us to that."
Azoma receives investment from dunnhumby ventures to accelerate its Agentic Commerce Optimization platform. Investment to accelerate Generative Engine Optimization (GEO) for retailers and CPG brands, tying AI visibility to revenue. September 18, 2026 05:00 ET | Source: Azoma London, Sept. 18, 2026 (GLOBE NEWSWIRE) - Azoma, the Agentic Commerce Optimization platform that measures and improves how AI shopping agents discover, interpret and recommend products for retailers and CPG brands, today announced an investment from dunnhumby ventures. As part of the investment, dunnhumby will be able to extend how it supports its retailer clients in optimizing their customer-facing chat agents while providing brands with the ability to optimize their discoverability and relevance in the new agentic commerce ecosystem. The investment reflects a shared view that AI shopping assistants are becoming a primary route to purchase, and that retailers and consumer packaged goods brands need to measure that channel as rigorously as they measure the shelf. The new funds will accelerate Azoma's product roadmap for customers including L'Oréal, Unilever and Mars, extending its ability to connect AI Visibility to recommended actions and measuring incremental revenue. The move reinforces dunnhumby's commitment to rapid innovation in AI and bringing leading-edge technologies to clients as consumer behaviours and retail ecosystems continue to evolve. dunnhumby has a track record of partnering with startups and tech companies whose propositions are creating value across category management, consumer insights, loyalty, retail media, and beyond. Azoma's analysis of tens of millions of AI responses in the second quarter of 2026 found that earned or social media accounts for 86.5% of the citations behind Alexa for Shopping's recommendations, and 76% of those behind Walmart Sparky's. ChatGPT draws more heavily on retailer sources, at 37.1%. The answer a shopper receives is therefore assembled largely from sources the brand does not own. This AI visibility problem is what the investment will solve for commerce and CPG brands. The biggest challenges facing Answer Engine Optimization and Generative Engine Optimization tools are knowing which prompts to track and what the revenue impact of actions has been. dunnhumby's data and expertise will enable Azoma to provide both. Max Sinclair, CEO and Co-Founder, Azoma, commented: "dunnhumby has decades of expertise helping brands and retailers leverage customer data insight." He added: "Agentic Commerce is the next frontier. dunnhumby understands this, and brands and retailers' current data blindness better than anyone. Their investment is a vote of confidence in our current solution and shared vision. In time, their data will help us demonstrate to the world's largest retailers and consumer brands the tangible value of agent-driven recommendations. Agentic commerce is a $9 trillion opportunity, and this is how we will continue to define the category." Leo Nagdas, Head of dunnhumby ventures, has also joined Azoma as advisor to the board as part of the investment. Nagdas founded dunnhumby's Retail Innovation Network, an open innovation programme for retail technology leaders. "AI shopping assistants are rewriting the path to purchase, and today retailers and CPGs have no reliable way to connect what an agent recommends to a sale," said Nagdas, Head of dunnhumby ventures. "Azoma is a leader in the emerging agentic commerce space, and the team combines real depth in AI with a practical grasp of how retail actually works. Backing companies like Azoma is how we bring emerging technology to our clients as consumer behaviours and retail ecosystems keep changing." About Azoma Azoma is the Agentic Commerce Optimization platform that helps brands drive revenue through AI shopping agents like Alexa for Shopping, Walmart Sparky, ChatGPT and Gemini. Azoma combines AEO/GEO measurement with optimization and execution across product data, content, and third-party sources that influence how AI systems discover, interpret, and recommend products. Trusted by leading consumer brands including L'Oréal, Unilever, Mars, Beiersdorf, and Reckitt, Azoma is the technology layer that helps brands increase product visibility, recommendations, and sales through AI-powered shopping experiences. Learn more at azoma.ai. About dunnhumby ventures dunnhumby ventures is dunnhumby's strategic innovation and venture capital arm with a mandate to partner and invest in early-stage retail technology start-ups that embrace data and artificial intelligence for innovation along the customer's path to purchase. We foster industry collaboration via the Retail Innovation Network, our exclusive ecosystem of senior retail innovation leaders, and seek to align with partners at an early stage to supercharge their ability to take innovation to market by tapping into dunnhumby's retail industry expertise, pioneering data science assets, and global retailer and supplier partner network. Our areas of focus include artificial intelligence (AI), data capture and enrichment, retail media, customer engagement, category management, supply chain, and commerce. For more visit: https://www.dunnhumby.com/ventures/ Which AI shopping agents does Azoma measure? Azoma measures retailer shopping agents such as Alexa for Shopping, Walmart Sparky and AI Lazzie, as well as general-purpose assistants including ChatGPT, Gemini, Claude, Meta AI and Siri. What should brands look for in a GEO or AEO tool? Coverage of the agents that matter in their categories: Azoma measures retailer assistants including Alexa for Shopping and Walmart Sparky, not general-purpose chatbots alone. Measurement of the third-party sources agents cite, not just the brand's own pages - Azoma's analysis found that earned and social media accounts for 86.5% of the citations behind Alexa for Shopping's recommendations. And a route from visibility to commercial outcome. What is Agentic Commerce Optimization? It is the practice of measuring and improving how AI shopping agents find, interpret and recommend products. It covers product data, on-site and off-site content, and the third-party sources agents draw on when answering a shopper's question. Azoma is a leader in this space. How does ACO relate to Generative Engine Optimization and Answer Engine Optimization? GEO and AEO concern how a brand appears in AI-generated answers across general-purpose assistants. Agentic Commerce Optimization applies the same principle at the point of purchase, where an agent is recommending a specific product to buy. Azoma is pioneering this field.
Azoma has secured an undisclosed investment from dunnhumby ventures to develop its Agentic Commerce Optimisation platform. The platform measures and improves how AI shopping agents discover and recommend products for retailers and consumer brands. The funding will accelerate Azoma's product roadmap for customers including L'Oréal, Unilever and Mars. The investment enables dunnhumby to support retailer clients in optimising customer-facing chat agents whilst helping brands boost discoverability in the agentic commerce ecosystem. Azoma's analysis of tens of millions of AI responses found that earned or social media accounts for 86.5% of citations behind Alexa for Shopping's recommendations and 76% behind Walmart Sparky's. ChatGPT draws more heavily on retailer sources at 37.1%. Leo Nagdas, head at dunnhumby ventures, has joined Azoma as board adviser as part of the investment.
Former Reward, Prezzee and Mastercard executive Jamie Samaha takes on CEO role at dunnhumby. dunnhumby, a customer data science specialist owned by Tesco, reports that Jamie Samaha has been appointed Chief Executive Officer (CEO), effective from 20th July. He succeeds Josh Bottomley, who has decided to step down after three years. Ken Murphy, Tesco Group CEO, says: "Josh has played a pivotal role in growing dunnhumby during a period of rapid technological change, as the intelligence layer connecting retailers, brands and consumers. He has strengthened partnerships and expanded our impact worldwide, grown Tesco Media into an award winning media business and laid the foundations for long-term, scalable technology innovation. Josh leaves the business well positioned for the future and I'd like to thank him for his significant contribution. Bottomley says: "I've hugely valued my time at dunnhumby and am immensely proud of what the team has achieved over the past three years in creating value for leading retail and brand partners globally. We've built strong foundations for the future, and as the business enters its next phase of growth, I look forward to seeing dunnhumby go from strength to strength." Samaha joins dunnhumby from Reward, a company focused on commerce media, customer engagement, and data insights, where he served as CEO. Prior to that, he led Australian FinTech business, Prezzee, to scale in the UK and US and also built a career at Mastercard as Executive VP of Consumer Engagement Services. Murphy says: "We are delighted to welcome Jamie as the new CEO of dunnhumby. His strong track record of commercial execution combined with his experience at the intersection of data, loyalty, media and customer engagement makes him ideally placed to build on the progress of recent years and scale dunnhumby's impact for retailers and brands globally." Samaha says: "dunnhumby has an exceptional heritage, outstanding talent and deep partnerships with many of the world's leading retailers and brands. Retail and consumer markets are evolving rapidly, and few companies are better placed than dunnhumby to help clients navigate that change and unlock growth. I'm excited to join the team and build on the strong momentum as we shape the next chapter of dunnhumby's growth together." 2026 RTIH Innovation Awards The awards are now open for entries and celebrate global retail technology innovation in a fast moving omnichannel world. Our winners will be revealed at the 2026 RTIH Innovation Awards Ceremony, taking place at The HAC in Central London on Wednesday, 4th November. Our 2025 hall of fame entrants were revealed during a sold out event which took place at The HAC on 16th October and consisted of a drinks reception, three course meal, and awards ceremony presided over by award winning comedian, actress and writer Tiff Stevenson. In his welcome speech, Scott Thompson, Founder and Editor, RTIH, said: "This is the awards' fifth year as a physical event. We started off with just 30 people at the South Place Hotel not far from here, then moved to London Bridge Hotel, then The Barbican, and last year RIBA's HQ in the West End." "But I'm conscious of the fact that, to quote the legend that is Taylor Swift, You're only as hot as your last hit, baby. So, this year we've moved to our biggest venue yet, and also pulled in our largest number of entries to date and broken attendance records." He added: "This year's submissions have without doubt been our best yet. To quote one of the judges: The examples of innovative developments across both traditional and digital retail spaces were truly remarkable." Congratulations to our winners, and a big thank you to our sponsors, judging panel, the legend that is Tiff Stevenson, and all those who attended our 2025 gathering. Editor and Founder of Retail Technology Innovation Hub