Salary: £62,000 - 102,000 per year
Requirements:
- Formal training or certification in software engineering concepts with proficient applied experience
- Hands‑on practical experience in system design, application development, testing, and operational stability
- Proficiency in Python and other modern programming languages
- Experience developing, debugging, and maintaining code in a large corporate environment, including database querying languages
- Strong knowledge of the software development life cycle
- Proven track record in system design and in architecting and developing microservices, distributed systems, and data‑intensive applications
- Experience with cloud services, infrastructure as code, containerized application development, big data, and modern data engineering technologies
- Practical experience developing production‑scale cloud‑native data engineering solutions in commercial environments
- Familiarity with cloud data engineering services such as ETL, Glue, S3, and Athena, as well as an MLOps stack
- Demonstrated experience leading the effective use of enterprise‑authorized AI‑assisted software development tools, with the ability to validate outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations
- Ability to communicate design choices and results clearly to stakeholders with diverse backgrounds
- Experience with data, AWS, and AI/ML engineering in commercial settings, preferably in financial services
- Experience working on recommendation systems, LLM applications, or other AI/ML systems
- Practical experience with Kubernetes, EKS, Docker, and MLOps
- Prior exposure to LLMs, RAG, knowledge graph technologies, OpenSearch, and vector databases
- Prior experience collaborating with data scientists
Responsibilities:
- Execute software solutions, design, development, and technical troubleshooting to build solutions and solve complex technical problems
- Create secure and high‑quality production code and maintain algorithms that run synchronously with appropriate systems
- Produce architecture and design artifacts for complex applications and ensure design constraints are met through software code development
- Build the engineering stack required for data and AI/ML products, including data engineering, backend engineering, cloud infrastructure DevOps, and MLOps
- Design and implement data engineering solutions using modern big data technologies
- Drive adoption and governance of approved AI‑assisted engineering practices to improve code quality, delivery speed, and operational outcomes
- Apply knowledge of SDLC toolchain capabilities, including approved AI‑assisted development and automation tools, to improve automation value at scale
- Contribute to software engineering communities of practice and events exploring new and emerging technologies
- Work on challenging cloud‑native data, backend engineering, and AI/ML engineering initiatives to industrialize AI/ML models at production scale
Technologies:
- AI
- AWS
- OpenSearch
- Big Data
- Backend
- Cloud
- DevOps
- Docker
- ETL
- Support
- Kubernetes
- LLM
- MLOps
- Python
- RAG
- Security
- microservices
More:
We are JPMorgan Chase, a global leader in financial services, and within our Commercial & Investment Bank Markets Research Technology team we are building trusted, market‑leading technology products in a secure, stable, and scalable way. We offer the opportunity to work in a highly technical, hands‑on senior engineering role on cloud‑native data, backend, and AI/ML solutions that support our business objectives. We value learning, problem‑solving, creative thinking, and a can‑do attitude, and we are committed to diversity, inclusion, and equal opportunity across our global workforce. Our Commercial & Investment Bank serves corporations, governments, and institutions in more than 100 countries, providing strategic advice, raising capital, managing risk, and extending liquidity around the world.
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Senior Lead Software Engineer - Python, Data, Cloud, AI/ML in London employer: JP Morgan Chase
Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.
