About
JPMorganChase provides financial services, including strategic advice and products to corporations, governments, wealthy individuals, and institutional investors. Chase UK is its digital bank, focused on mobile banking.
Responsibilities
•Deliver AI/ML applications and services that improve customer experiences and increase operational efficiency
•Work across the AI/ML delivery lifecycle, from stakeholder requirements and solution design through prototyping, evaluation, deployment support, monitoring, and iteration
•Develop Python-based AI/ML solutions on AWS/GCP, contributing production-ready code as part of a delivery team
•Build and evaluate AI/LLM solutions, including prompt/RAG patterns and agentic workflows, alongside classical ML where appropriate
•Apply ML techniques to forecasting, segmentation/CLV, causal inference, and other business problems
•Analyze large, heterogeneous datasets using SQL to generate insights, validate assumptions, and track impact
•Collaborate with stakeholders and cross-functional delivery teams
•Produce clear documentation, reports, and presentations for technical and non-technical audiences
•Support governance activities, including model/data-use documentation and technical input to risk, privacy, and controls assessments
Requirements
•Familiarity with AI/LLM development patterns and frameworks, including prompt engineering, RAG, LangChain/LangGraph and/or Google ADK
•Strong Python and SQL skills, with the ability to write clean, production-ready code
•Strong AI/ML fundamentals, including statistics, probability, linear algebra, and model evaluation
•Experience with scikit-learn and either PyTorch or TensorFlow
•Practical DevOps mindset, including testing, CI/CD, reproducibility, code quality, and operational awareness
•Excellent written and verbal communication; able to explain technical trade-offs clearly
•Collaborative, curious, and comfortable working with ambiguity
Nice to have
•Experience delivering AI/ML solutions in a regulated financial organisation
•AWS and/or GCP cloud experience (AWS preferred)
•Experience with S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery, GCS, Cloud Run, or Pub/Sub
•Experience with AI/ML observability and evaluation tools such as MLflow, LangSmith, LLM-as-a-Judge, guardrails, or production monitoring
•Exposure to fine-tuning or continuous learning techniques such as PEFT/LoRA
Conditions
No conditions stated in the posting.
