ml engineer for eCommerce

Harnham is a digitally driven organisation investing in AI, data, and product innovation. It creates scalable AI solutions that deliver measurable value across customer-facing products and internal operations.

• Design, build, and scale AI-powered products that create measurable business value;
• Develop intelligent assistants, copilots, and agentic AI solutions embedded within digital products and customer experiences;
• Translate business requirements into reliable, production-ready AI services and applications;
• Build AI solutions supporting eCommerce use cases such as product discovery, personalised recommendations, shopping assistants, customer service automation, and customer journey optimisation;
• Create and optimise agent workflows using modern LLM frameworks, orchestration tools, and structured response systems;
• Develop backend services, APIs, and integrations connecting AI capabilities with enterprise platforms and digital products;
• Collaborate with product managers, engineering teams, and data platform specialists to deliver end-to-end solutions;
• Implement testing, evaluation, monitoring, and quality assurance processes for AI applications;
• Contribute to deployment, CI/CD processes, containerisation, and operational readiness;
• Ensure AI solutions meet security, privacy, governance, and responsible AI requirements.

• Strong commercial experience building production-grade AI applications using Python;
• Expertise with FastAPI, Pydantic, API development, and backend engineering;
• Experience developing LLM-powered products, AI assistants, copilots, or agentic AI systems using LangChain, LangGraph, and OpenAI technologies;
• Experience building AI solutions within eCommerce, digital product, retail, marketplace, or customer engagement environments;
• Understanding of AI-powered search, recommendations, personalisation, conversational commerce, customer support automation, or product discovery solutions;
• Strong knowledge of Databricks, SQL, Python, ETL pipelines, and enterprise data integration;
• Experience implementing automated testing, AI evaluation frameworks, and quality assurance processes;
• Familiarity with Docker, Azure environments, CI/CD pipelines, and modern software delivery practices;
• Strong stakeholder management skills and ability to translate commercial requirements into scalable AI products.

• Competitive salary and comprehensive benefits package;
• Opportunity to shape and scale AI products used by customers and business teams;
• Exposure to innovative AI, machine learning, agentic AI, and eCommerce transformation initiatives;
• Collaborative environment with strong technical leadership and cross-functional teams;
• Significant opportunity to influence product strategy, AI engineering standards, and future platform capabilities;
• Ongoing professional development and career progression within a growing AI function.