Applied AI ML – Senior Associate – Machine Learning Engineer

NLP PEOPLE; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorgan Commercial & Investment Bank is seeking an experienced Applied AI / ML Senior Associate Machine Learning Engineer to advance AI in financial services. The role combines research with software engineering to deploy scalable ML products across business lines, leveraging NLP, vision, and statistical ML techniques.

You will contribute to building AI-powered solutions, working with data assets to automate decisions and enable faster, more accurate business outcomes while collaborating with

Qualifications

• Masters or PhD in a quantitative discipline such as Computer Science, Mathematics or Statistics.
• Solid foundation in statistics, optimization and ML theory; familiarity with transformers, CNNs and autoencoders.
• Specialism or strong interest in NLP is required.
• Broad knowledge of MLOps tooling for versioning, reproducibility and observability.
• Experience monitoring and improving models over extended periods.
• Extensive experience with PyTorch and Python data science libraries (pandas).
• Experience containerising apps/models for deployment (Docker).
• Experience with major cloud providers (Azure, AWS, GCP).
• Ability to communicate technical concepts clearly to all stakeholders.

Responsibilities

• Build scalable Data Science capabilities across multiple business use cases.
• Collaborate with software engineers to deploy ML services integrated with strategic systems.
• Research and analyse datasets using statistical and ML techniques.
• Communicate AI capabilities and results to technical and non-technical audiences.
• Document approaches and processes to comply with industry regulation.
• Collaborate with cloud and SRE teams on production architectures.
• Act as an individual contributor with potential for management responsibilities.

Skills

NLP specialization

PyTorch

MLOps

Distributed systems

Cloud services

Education

Masters/PhD in quantitative field

Tools

Docker

Kubernetes

Kubeflow

Azure

AWS

GCP

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 unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI-powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets.

Job responsibilities

• Build robust Data Science capabilities which can be scaled across multiple business use cases
• Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems
• Research and analyse data sets using a variety of statistical and machine learning techniques
• Communicate AI capabilities and results to both technical and non-technical audiences
• Document approaches taken, techniques used and processes followed to comply with industry regulation
• Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions.
• Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience.

Required qualifications, capabilities, and skills

• Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics
• Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)
• Specialism or well-researched interest in NLP
• Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc.
• Experience monitoring, maintaining, enhancing existing models over an extended time period
• Extensive experience with pytorch and related data science python libraries (e.g. pandas)
• Experience of containerising applications or models for deployment (Docker)
• Experience with one of the major public cloud providers (Azure, AWS, GCP)
• Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.

Preferred qualifications, capabilities, and skills

• Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)
• Experience of big data technologies
• Have constructed batch and streaming microservices exposed as REST/gRPC endpoints
• Experience with container orchestration tools (e.g. Kubernetes, Helm)
• Knowledge of open source datasets and benchmarks in NLP
• Hands-on experience in implementing distributed/multi-threaded/scalable applications
• Track record of developing, deploying business critical machine learning models

#CIBAppliedAI

Company:

JPMC Candidate Experience page

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Big Data, Industry, Machine Learning, Natural Language Processing, NLP, United Kingdom