Senior Software Engineer, AI/ML Data Platform

JPMorgan Chase & Co.

Glasgow

On-site

GBP 60,000 - 90,000

Full time

14 days+

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Job summary

JPMorganChase is seeking a Software Engineer III to join the AI/ML and Data Platform team in the UK. You will design and deliver trusted, scalable software solutions in a secure environment, working within an agile team to meet business objectives.

The role emphasizes production-grade code, automation, and collaboration with data and application teams. Strong Python/Java, CI/CD, and AWS Databricks experience are required, with a focus on secure, resilient systems.

Qualifications

Formal training or certification on software engineering concepts and applied experience.
Extensive experience with AWS Databricks platform administration and engineering support.
Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management.
Experience with monitoring tools, automation frameworks, and CI/CD pipelines.
Hands-on experience using enterprise-authorized AI-assisted software development tools with evaluation of outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, data sensitivity, secure handling of inputs/outputs, and resiliency and security expectations.
Proficient in Python and/or Java application development with automated unit testing.
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Knowledge of Spark, Glue, MapReduce and other Big Data frameworks
Excellent troubleshooting, analytical, and communication skills.

Responsibilities

Executes software solutions, design, development, and troubleshooting with non-routine problem solving.
Creates secure, high-quality production code and maintains production-ready algorithms.
Performs platform design, setup and configuration in collaboration with data teams.
Collaborates with engineering and data teams to optimize infrastructure and deployment processes with a focus on automation.
Identifies opportunities to automate remediation of recurring issues to improve stability.
Uses AI coding assist tools to improve code quality, with peer review and testing validation.
Applies SDLC toolchain knowledge to improve automation value.
Leads evaluation sessions with external vendors and internal teams on architecture and applicability.
Contributes to engineering communities of practice and events.
Supports team culture of diversity, inclusion, and respect.