Software Engineer III - AI/ML Data Platforms - AI Engineer - Python
Software Engineer III at JPMorgan Chase on the AI/ML Data Platforms team, building production-grade AI/ML platform applications and Generative AI/agent apps for internal AI Research and ML Centre of Excellence clients. Day-to-day is Python full-stack development with Terraform IaC and CI/CD delivery to cloud, plus mentoring junior engineers and researchers.
- Compensation
- Not disclosed
- Location
- London, United Kingdom
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- Formal training or certification in software engineering concepts with applied full stack development experience
- Practical experience in Infrastructure as Code development, ideally using Terraform
- Hands-on experience in application development, testing, and ensuring operational stability
- Advanced proficiency in one or more programming languages, with a strong focus on Python
- Expertise in automation and continuous integration, delivery, and testing (CI/CD/CT) methods
- Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC)
- Deep understanding of agile methodologies and basic proficiency in architectural frameworks
- Demonstrated proficiency in platform development and technical processes within a technical discipline (e.g., cloud, AI, ML)
Nice to have
- Experience delivering via CI/CD to public and private cloud platforms; familiarity with experimentation environments like Jupyter Notebooks
- Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks
- Self-motivated and proactive, with strong ability to identify issues and challenge the status quo
- Initiative in learning and adapting to new technologies and methodologies
- Experience in a major business-facing integrated application environment (e.g., risk, trading)
- Proven problem-solving skills with a focus on innovation and continuous improvement
- Excellent communication and collaboration skills for cross-functional teams
Full description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer at JPMorgan Chase within the AI/ML Data Platforms business, youare an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will be responsible for delivering critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. In this context, your primary clients will be AI Research (AIR) and the Machine learning Centre of Excellence (MLCoE)
Job responsibilities
- Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production-grade apps.
- Develops and writes software applications for AI/ML platforms as well as building Generative AI based applications including Agents.
- Utilizes creative problem-solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges.
- Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems.
- Delivering using CI/CD to public and private cloud platforms, as well as familiarity with experimentation environments (e.g. Jupyter Notebooks)
- Acting senior engineer within the team mentor and drive practice across junior engineers in the team, as well as researchers / data scientists as they prototype solutions
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts with applied Full stack development experience.
- Practical experience in Infrastructure as Code development, ideally using Terraform.
- Hands-on practical experience in application development, testing, and ensuring operational stability.
- Advanced proficiency in one or more programming languages, with a strong focus on Python.
- Expertise in automation and continuous integration, delivery, and testing (CI/CD/CT) methods.
- Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC).
- Deep understanding of agile methodologies and basic proficiency in architectural frameworks.
- Demonstrated proficiency in platform development and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, etc.).