Artificial Intelligence Engineer

Job Title: AI Engineer - Contract - £500 - £600 a day Location: London / Hybrid Department: Data & AI Engineering Reports to: Head of AI Engineering My client is building a new era of intelligent banking—where data, AI, and human insight come together to create powerful, personalised experiences for our customers. They are seeking a skilled AI Engineer to join our growing central AI Engineering function. This is a rare opportunity to work on enterprise-grade AI capabilities—including Large Language Models (LLMs), agentic systems, real-time decisioning, and cloud-native data services—within a modern, high-integrity banking environment. Your Role As an AI Engineer, you’ll contribute to the design, development, and operationalisation of advanced AI use cases across the bank. From embedding AI into workflows to developing production-ready models and services, your work will have a tangible impact on decision-making, customer service, and operational excellence. You’ll collaborate across business domains, supporting our federated data mesh strategy and enabling departments to build and own their own analytics and AI products—working closely with product owners, data scientists, and engineers to turn innovative ideas into real-world solutions. Key Responsibilities • Design, develop, and deploy AI models (including LLMs and traditional ML) for use in business-critical applications • Collaborate on building agentic tools and embedded intelligence across operational workflows • Apply MLOps best practices for scalable, monitored, and reproducible machine learning solutions • Develop AI capabilities across a modern, cloud-native data platform (Azure, Databricks, Microsoft Fabric) • Support the lifecycle of AI solutions: data ingestion, feature engineering, model training, validation, deployment, and monitoring • Work within governance frameworks to ensure compliance, security, and responsible AI • Contribute to a culture of innovation, experimentation, and continuous learning What We’re Looking For • Proven experience with applied AI/ML, ideally across the full model lifecycle (development, deployment, monitoring) • Strong programming skills in Python and experience with frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, or LangChain • Familiarity with cloud-native development, preferably within the Azure ecosystem (e.g. Azure Data Factory, Azure Functions, Event Hubs, Key Vault, Azure OpenAI) • Working knowledge of modern data engineering practices (e.g. Spark, SQL, Data Lakes, notebooks, DevOps pipelines) • Experience integrating AI models into business processes or operational systems • Analytical and problem-solving mindset, with strong collaboration and communication skills • Bonus: Experience working in regulated industries such as financial services Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field • 3–5+ years’ experience in AI/ML engineering roles • Experience in Financial Services or regulated environments preferred but not essential • Demonstrated interest in ethical AI, data governance, and responsible innovation Our Tech Stack We work with a modern data and AI ecosystem including: • AI & ML: Python, TensorFlow, PyTorch, JAX, LangChain, Hugging Face, Azure OpenAI, Azure AI Studio • Data Engineering: Microsoft Fabric, Databricks, Azure Data Factory, Spark, SQL Server, Data Lake, Blob Storage • DevOps & Services: Azure DevOps, Git, Functions, Logic Apps, Event Hubs, Key Vault, API Management • Governance & Tools: Azure Purview, Co-Pilot Studio, Azure AI Search For more information on this role apply online or send your CV to c.burn@ltharper.com