Senior Applied AI/ML Engineer for Financial Services

Testing Site - JPMC; Greater London; Vor Ort; GBP 90.000 - 130.000; Vollzeit

Zusammenfassung

JPMorgan Commercial & Investment Bank is seeking an Applied AI / ML Senior Associate Machine Learning Engineer in its Applied AI ML team. The role combines cutting-edge AI techniques with the bank's data assets to optimize decisions and automate processes, leveraging NLP, CV, and statistical ML.

You will build products to automate tasks, help experts prioritize work, and enable re-use of foundational components across teams.

Qualifikationen

• Master's or PhD in a quantitative field is required.
• Strong grounding in statistics, optimization and ML theory.
• Research or practical NLP focus is preferred.
• Experience with MLOps tools for versioning and observability.
• Proven track record maintaining models over time.
• Proficient with PyTorch and Python (pandas).
• Containerization with Docker; cloud experience (Azure/AWS/GCP).
• Ability to explain technical concepts to diverse audiences.

Aufgaben

• Build scalable data science capabilities across use cases.
• Collaborate with software engineers to deploy ML services.
• Research data sets using statistical and ML methods.
• Communicate AI capabilities and results to technical and non-technical audiences.
• Document approaches and processes to satisfy industry regs.
• Work with cloud and SRE teams on production architectures.
• Potential for management responsibilities depending on experience.

Kenntnisse

Statistics fundamentals

ML theory

NLP

MLOps tooling

Model monitoring

PyTorch

Python (pandas)

Docker

Cloud platforms (Azure/AWS/GCP)

Communication with stakeholders

Ausbildung

Masters or PhD in CS/Math/Statistics

Tools

Kubeflow

DVC

Ray

Docker

Kubernetes

Helm

Jobbeschreibung

JPMorgan Commercial & Investment Bank is seeking an Applied AI / ML Senior Associate Machine Learning Engineer in its Applied AI ML team. The role combines cutting-edge AI techniques with the bank's data assets to optimize decisions and automate processes, leveraging NLP, CV, and statistical ML.

You will build products to automate tasks, help experts prioritize work, and enable re-use of foundational components across teams.