Applied AI ML - Senior Associate - Machine Learning Engineer

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Applied AI ML - Senior Associate - Machine Learning Engineer 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 the state-of-the-art in AI as applied to financial services, leveraging the latest research from NLP, computer vision, and statistical machine learning. You will build 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 reuse of foundational components through careful design of libraries and services to be leveraged across the team. This role blends scientific research and software engineering, requiring a deep understanding of both mindsets.
Responsibilities
Build robust Data Science capabilities which can be scaled across multiple business use cases
Collaborate with software engineering to design and deploy Machine Learning services that can be integrated with strategic systems
Research and analyze data sets using statistical and machine learning techniques
Communicate AI capabilities and results to both technical and non-technical audiences
Document approaches, techniques, and processes to comply with industry regulation
Collaborate with cloud and SRE teams while leading the design and delivery of production architectures for solutions
Act as an individual contributor, with optional opportunity for management responsibility depending on experience
Required Qualifications, Capabilities, And Skills
Master's or PhD in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics)
Solid understanding of statistics, optimization, and ML theory; familiarity with transformers, CNNs, autoencoders
Specialism or strong interest in NLP
Broad knowledge of MLOps tooling for versioning, reproducibility, observability
Experience monitoring and maintaining models over extended periods
Extensive experience with PyTorch and related Python libraries (e.g., pandas)
Experience containerising applications/models for deployment (Docker)
Experience with major public cloud providers (Azure, AWS, GCP)
Strong communication skills; ability to convey technical information clearly and build trust with stakeholders
Preferred Qualifications, Capabilities, And Skills
Experience designing/implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray)
Experience with big data technologies
Experience building batch and streaming microservices exposed as REST/gRPC endpoints
Experience with container orchestration tools (Kubernetes, Helm)
Knowledge of open source NLP datasets and benchmarks
Hands-on experience in distributed/multi-threaded/scalable applications
Track record of developing and deploying business-critical ML models
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to corporations, governments, wealthy individuals and institutional investors. We are an equal opportunity employer and value diversity and inclusion. We do not discriminate on protected attributes and provide reasonable accommodations for applicants and employees as needed.
About The Team
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. We serve corporations, governments and institutions in more than 100 countries.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
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Location:
London
Salary:
£125,000 - £150,000
Job Type:
FullTime
Category:
IT & Technology

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