Social network you want to login/join with:
Senior Python Engineer - Machine Learning - Asset Management Research Technology, Greater London
Location:
Greater London, United Kingdom
Job Category:
Other
EU work permit required:
Yes
Job Reference:
11cf8315e57b
Job Views:
7
Posted:
03.03.2025
Expiry Date:
17.04.2025
Job Description:
JP Morgan Asset Management is expanding LLM use cases across AM business areas. We are seeking a software engineer with expertise in Python and prior experience in utilizing LLMs. As an LLM Engineering Lead within Asset Management, you will collaborate closely with various teams to prototype, build, test, and deploy a large-scale federated LLM platform.
You will work with an agile team that will build and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will partner with our Global Data Science teams to design, develop, deploy, and operate machine learning-driven applications and data pipelines.
Job Responsibilities:
* Hands-on involvement in building and operating highly sophisticated LLM-driven applications.
* Partnering directly with other technology teams on LLM projects to advise and assist as needed.
* Collaborating with Data Science and Cybersecurity teams to deliver state-of-the-art ML products.
* Managing and supporting a team of ML and MLOps engineers.
* Collaborating with DevOps engineers to plan and deploy data storage and processing systems.
* Executing creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
* Developing secure, high-quality production code, and reviewing and debugging code written by others.
* Contributing to a team culture of diversity, equity, inclusion, and respect.
Required Qualifications, Capabilities, and Skills:
* Formal training or certification in software engineering concepts and advanced applied experience.
* Educated to degree level in computer science or a related discipline.
* Advanced Python programming skills.
* Proven experience in building and operating scalable ML-driven products.
* Azure and/or AWS Certifications (Architect, Big Data, AI/ML).
* Hands-on experience in Azure and AWS.
* Proficiency with cloud technologies like Kubernetes and Airflow.
* Experience working in a highly regulated environment.
* Proven ability to iterate quickly.
* Proficient in all aspects of the Software Development Life Cycle.
* Terraform and IaaC experience.
* Experience with design and delivery of large-scale cloud-native architectures.
* Experience with microservices performance tuning, performance optimization, and real-time applications.
Preferred Qualifications, Capabilities, and Skills:
* Experience with financial data and data science.
#J-18808-Ljbffr