Senior Ai Engineer
Senior AI Engineer (Customer & Product AI)LondonContractCompetitive day rate2 day per week onsite (preferred)IR35 determination in progress
OverviewWe are partnering with a major consumer brand that is scaling AI across multiple markets to improve customer experience, unlock growth, and drive operational efficiency. They are building a central AI team focused on designing, building, and deploying production-grade AI solutions across the business.
They are looking for a Senior AI Engineer to lead the delivery of end-to-end AI products, working across software engineering, machine learning, and LLM-based systems. This is a hands-on role focused on shipping real solutions into production that directly impact customers, teams, and commercial outcomes.
The RoleYou will join a cross-functional AI function working at the intersection of software engineering, data, and machine learning. Your focus will be on turning business problems into production-ready AI systems, from early discovery through to deployment, monitoring, and continuous improvement.
You will work closely with teams across marketing, digital, operations, and product to design and deliver AI-powered features such as personalisation, prediction models, and AI assistants. You will be expected to take ownership of delivery, make pragmatic architectural decisions, and help shape engineering standards across the team.
Key Responsibilities* Act as a hands-on builder and technical owner of AI-powered products and features from concept through to production* Design and deploy end-to-end AI solutions spanning data preparation, modelling, APIs, and production integration* Build and optimise ML and LLM-driven services, including prediction models, personalisation, and retrieval-augmented systems* Collaborate with business stakeholders to frame problems, define success metrics, and deliver measurable outcomes* Develop services, APIs, and integrations that embed AI into customer journeys, internal tools, and digital platforms* Own model lifecycle processes including deployment, monitoring, evaluation, and retraining* Implement robust MLOps practices to ensure reliability, performance, and scalability* Mentor engineers and contribute to shared tooling, reusable patterns, and engineering standards
Required Experience* Strong software engineering background with Python and SQL* Proven experience delivering end-to-end ML or AI solutions into production environments* Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn* Experience working with LLMs, including prompt design, RAG, or fine-tuning* Experience building APIs and integrating AI systems into real products* Solid understanding of data pipelines, feature engineering, and model evaluation* Experience working with cloud platforms such as Azure, AWS, or GCP
Nice to Have* Experience in customer analytics, personalisation, recommendation systems, or marketing optimisation* Familiarity with Databricks or modern data platform tooling* Experience building conversational AI or internal AI assistants* Exposure to experimentation frameworks such as A/B testing* Experience working in cross-functional product teams
Why Apply* Build AI products that are used in the real world at scale* Work across a broad range of use cases spanning customer experience, operations, and digital platforms* Join a growing, central AI function with strong executive backing* Opportunity to shape architecture, standards, and long-term AI capability
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