At a Glance
- Tasks: Lead the development of cutting-edge LLM applications in a collaborative environment.
- Company: Join JP Morgan Asset Management, a leader in financial technology innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on diversity, equity, and inclusion.
- Why this job: Make an impact by working on advanced AI solutions in asset management.
- Qualifications: Degree in computer science, advanced Python skills, and experience with ML products.
The predicted salary is between 70000 - 90000 £ per year.
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 be collaborating 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.
Responsibilities
- Hands‑on involvement in building and operating highly sophisticated LLM driven applications.
- Partner directly with other technology teams on LLM projects to advise and assist as needed.
- Collaborate with Data Science, Cybersecurity to deliver state‑of‑the‑art ML products.
- Manage and support a team of ML and MLOps engineers.
- Collaborate with DevOps engineers to plan and deploy data storage and processing systems.
- Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches.
- Develop secure high‑quality production code, and review and debug code written by others.
- Contribute to a culture of diversity, equity, inclusion, and respect.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and advanced applied experience.
- Degree‑level education in computer science or related discipline.
- Advanced Python programming skills.
- Proven experience building and operating scalable ML‑driven products.
- AWS and/or Azure Certifications (Architect, Big Data, AI/ML).
- Hands‑on experience in Azure and AWS.
- Proficiency with cloud technologies like Kubernetes, Airflow.
- Experience working in a highly regulated environment.
- Proven ability to iterate quickly.
- Proficiency in all aspects of the Software Development Life Cycle.
- Terraform and IaaC experience.
- Experience designing and delivering large‑scale cloud‑native architectures.
- Experience with microservices performance tuning, performance optimization, real‑time applications.
Preferred Qualifications, Capabilities, and Skills
- Experience with financial data and data science.
Machine Learning Engineering / Applied AI ML Lead - Asset Management Research Technology employer: JPMorgan Chase
JP Morgan Asset Management is an exceptional employer, offering a dynamic work environment where innovation thrives. As part of our agile team, you'll have the opportunity to collaborate with top-tier professionals in the field, driving cutting-edge machine learning solutions while benefiting from a culture that prioritises diversity, equity, and inclusion. With access to extensive resources for professional growth and development, you will be well-positioned to advance your career in a supportive and forward-thinking atmosphere.
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We think you need these skills to ace Machine Learning Engineering / Applied AI ML Lead - Asset Management Research Technology
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