Senior ML Engineer, Applied AI for Financial Services

Next Frontier Capital; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorgan Commercial & Investment Bank is seeking an outstanding Applied AI/ML Senior Associate Machine Learning Engineer to advance state‑of‑the‑art AI in financial services. You will blend research with software engineering, build reusable AI components, and help automate decisions across business domains.

The role emphasizes collaboration with cloud, SRE, and software teams, delivering production ML services while maintaining rigorous documentation and compliance practices.

Qualifications

• Masters or PhD in a quantitative field such as CS, math or stats.
• Strong foundation in statistics, optimization and ML theory.
• Specialism or strong interest in NLP.
• Broad knowledge of MLOps tooling for versioning and observability.
• Experience maintaining models over time.
• Proficient with PyTorch and Python data libraries.

Responsibilities

• Build scalable data science capabilities across multiple business use cases.
• Collaborate with software engineers to deploy ML services integrated with systems.
• Research data sets using statistical and ML techniques.
• Communicate AI capabilities and results to diverse audiences.
• Document approaches and processes to meet regulations.
• Collaborate with cloud and SRE teams to design production architectures.
• Act as individual contributor with potential for management depending on experience.

Skills

NLP expertise

ML theory

Data analysis

Statistical modelling

Cross-functional comms

Education

Masters/PhD in quantitative discipline

Tools

Docker

PyTorch

Pandas

Cloud platforms

Job description

JPMorgan Commercial & Investment Bank is seeking an outstanding Applied AI/ML Senior Associate Machine Learning Engineer to advance state‑of‑the‑art AI in financial services. You will blend research with software engineering, build reusable AI components, and help automate decisions across business domains.

The role emphasizes collaboration with cloud, SRE, and software teams, delivering production ML services while maintaining rigorous documentation and compliance practices.