Software Engineer III - Python, AWS, AI/ML

JPMorgan Chase · Glasgow

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. You’ll join a collaborative team where your ideas and skills help shape intelligent, data-driven products that power business innovation. As part of a diverse and inclusive environment, you’ll work alongside talented engineers and data scientists, deepening your expertise in Python and machine learning. If you’re passionate about solving complex problems and advancing technology, you’ll find strong support and growth opportunities here.

Job Summary:
As a Software Engineer III in Corporate Technology’s AI, ML & Data Platforms team, you will design and deliver secure, stable, and scalable technology solutions that support the firm’s data and artificial intelligence objectives. You will work as a valued member of an agile team, tackling technical challenges across multiple areas and contributing to end-to-end delivery. You will help strengthen engineering practices through thoughtful design, strong coding standards, and continuous improvement, while fostering a culture of inclusion and respect.

Job Responsibilities:

Execute software solutions through design, development, and technical troubleshooting, applying creative thinking to break down complex technical problems
Create secure, high-quality production code in Python and maintain algorithms that integrate effectively with supporting data and machine learning systems
Produce architecture and design artifacts for complex applications and ensure design constraints are reflected throughout software development
Gather, analyze, and synthesize large, diverse datasets to develop visualizations and reporting that support continuous improvement of software applications and systems
Proactively identify hidden problems and patterns in data and apply those insights to improve coding hygiene and system architecture
Collaborate with data scientists and platform engineers to support the development and deployment of machine learning and artificial intelligence solutions
Contribute to software engineering communities of practice and participate in events that explore new and emerging technologies
Support a team culture grounded in diversity, opportunity, inclusion, and respect
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Required Qualifications, Capabilities, and Skills:

Formal training or certification on software engineering concepts and proficient applied experience
Proficiency in Python for building scalable backend services and data-intensive applications
Hands-on experience in system design, application development, testing, and operational stability
Experience developing, debugging, and maintaining production code using modern programming languages and database querying languages in a large-scale environment
Working knowledge of the Software Development Life Cycle
Understanding of agile methodologies and practices, including CI/CD, application resiliency, and security
Demonstrated knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or data engineering
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Preferred Qualifications, Capabilities, and Skills:

Familiarity with machine learning frameworks and tools used in model development and deployment pipelines
Exposure to cloud-based infrastructure and data services
Knowledge of traditional machine learning and large language model serving in production environments
Familiarity with modern front-end technologies or data visualization tools

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Build scalable, Python-powered data and AI solutions on an agile team driving innovation across machine learning and data platforms.

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