Lead Software Engineer AIML Data Platforms AI Engineer Python

London - UK

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead 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. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business 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.
Leads evaluation sessions (cross-team) to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Mentors engineer within the team 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 system design 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 mobile etc.).

Preferred qualifications capabilities and skills

Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks.
Self-motivated and proactive with a strong ability to identify issues and challenge the status quo.
Demonstrates initiative in learning and adapting to new technologies and methodologies.
Experience in / exposure to a major business facing integrated application environment (e.g. risk trading) and working with business facing developers
Proven problem-solving skills with a focus on innovation and continuous improvement.
Excellent communication and collaboration skills to work effectively within cross-functional teams.

Required Experience:

DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.As a Lead 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 ma...

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

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.
Leads evaluation sessions (cross-team) to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Mentors engineer within the team 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 system design 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 mobile etc.).

Preferred qualifications capabilities and skills

Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks.
Self-motivated and proactive with a strong ability to identify issues and challenge the status quo.
Demonstrates initiative in learning and adapting to new technologies and methodologies.
Experience in / exposure to a major business facing integrated application environment (e.g. risk trading) and working with business facing developers
Proven problem-solving skills with a focus on innovation and continuous improvement.
Excellent communication and collaboration skills to work effectively within cross-functional teams.

Required Experience:

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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