Applied AI ML - Senior Associate - Machine Learning Engineer

JPMorgan Chase & Co.; City of Westminster; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading global financial services firm in the City of Westminster is looking for an Applied AI / ML Senior Associate Machine Learning Engineer. You will drive innovation in the Commercial & Investment Bank, combining cutting-edge AI techniques with unique data. Responsibilities include building Data Science capabilities, collaborating on Machine Learning services, and analyzing data sets using advanced techniques. The ideal candidate will have a strong background in statistics and machine learning theory, and solid experience with popular AI tools like PyTorch. Opportunities for personal and career growth are plentiful in this dynamic environment.

Qualifications

• Solid understanding of fundamentals of statistics, optimization and ML theory.
• Experience monitoring, maintaining, enhancing existing models over time.
• Ability to communicate technical information clearly to all levels.

Responsibilities

• Build robust Data Science capabilities scaled across business use cases.
• Collaborate to design and deploy Machine Learning services.
• Research and analyse data sets using statistical and machine learning techniques.
• Communicate AI capabilities and results to technical and non-technical audiences.

Skills

Machine Learning

Natural Language Processing

Computer Vision

Big Data Technologies

Containerization (Docker)

Cloud Services (Azure, AWS, GCP)

Statistical Analysis

MLOps

Communication Skills

Education

Masters or PhD in Computer Science or related discipline

Tools

PyTorch

pandas

Kubernetes

Job description

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, 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.

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

• 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 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

• Experience designing/implementing pipelines using

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.

Equal Employment Opportunity Statement

We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About the Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.