Applied AI ML - Senior Associate - Machine Learning Engineer

ZipRecruiter; England; On-site; GBP 60,000 - 100,000; Full time

Job summary

Join a leading team in applied AI at a prestigious financial institution as an Applied AI / ML Senior Associate Machine Learning Engineer. You will leverage advanced techniques in data science to drive innovative solutions and optimize business decisions across various domains. The role involves collaboration with engineering teams to integrate ML services, extensive research in cutting-edge AI technologies, and contributing to industry-leading practices.

Qualifications

• Hands-on experience in ML engineering roles.
• Proven record of deploying critical ML models in business contexts.
• Strong understanding of statistics, optimization, ML theory, and deep learning architectures.

Responsibilities

• Develop scalable Data Science capabilities for various business use cases.
• Work with software engineering teams to design and deploy ML services.
• Research and analyze data sets using statistical and machine learning techniques.

Skills

Machine Learning Engineering

Natural Language Processing

Computer Vision

Statistics

Optimization

Deep Learning Architectures

Effective Communication

Education

PhD in Computer Science, Mathematics, Statistics, or related fields

Tools

PyTorch

NumPy

pandas

Spark

Hadoop

Job description

Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank.

As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's data assets to optimize business decisions and automate processes. You will have the opportunity to advance AI in financial services, leveraging research in Natural Language Processing, Computer Vision, and machine learning. Your role involves building products that automate processes, assist experts, and improve decision-making. We aim to reuse foundational components through well-designed libraries and services across the team, blending scientific research with software engineering.

Job Responsibilities

1. Develop scalable Data Science capabilities for various business use cases.
2. Work with software engineering teams to design and deploy ML services integrated with strategic systems.
3. Research and analyze data sets using statistical and machine learning techniques.
4. Communicate AI capabilities and results to both technical and non-technical audiences.
5. Document methodologies, techniques, and processes for compliance with industry regulations.
6. Collaborate with cloud and SRE teams on designing and delivering production architectures.
7. Contribute as an individual, with potential for management responsibilities based on experience.

Required Qualifications and Skills

1. Hands-on experience in ML engineering roles.
2. PhD in Computer Science, Mathematics, Statistics, or related fields.
3. Proven record of deploying critical ML models in business contexts.
4. Knowledge of MLOps tools for versioning, reproducibility, and observability.
5. Experience maintaining and improving models over time.
6. Specialization in NLP or Computer Vision.
7. Strong understanding of statistics, optimization, ML theory, and deep learning architectures (transformers, CNNs, autoencoders).
8. Extensive experience with PyTorch, NumPy, pandas.
9. Familiarity with open datasets and benchmarks in NLP/Computer Vision.
10. Experience with distributed/multi-threaded applications using frameworks like Ray, Horovod, DeepSpeed.
11. Effective communication skills for technical and stakeholder engagement.

Additional Skills and Experience

1. Designing and implementing pipelines with DAG frameworks (e.g., Kubeflow, DVC, Ray).
2. Experience with big data technologies like Spark, Hadoop.
3. Building microservices exposed via REST/gRPC endpoints.
4. Familiarity with GraphQL.

About Us

J.P. Morgan is a global leader in financial services, serving clients worldwide with strategic advice and products. We value diversity and are committed to equal opportunity employment, providing accommodations for various needs. Our goal is to build trusted, long-term partnerships with our clients.

About The Team

J.P. Morgan's Commercial & Investment Bank operates across banking, markets, securities services, and payments, serving clients in over 100 countries with expertise in risk management, capital raising, and liquidity management.