Applied AI ML Lead - Senior Machine Learning Engineer

Posted 2 Days Ago
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London, Greater London, England
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
As an Applied AI / ML Lead - Senior Machine Learning Engineer at JPMorgan Corporate Investment Bank, you will lead the development of AI-powered products and services for financial services. Responsibilities include building data science capabilities, designing and deploying ML services, researching and analyzing data sets, and collaborating with cross-functional teams. Required qualifications include hands-on ML engineering experience, a PhD in a quantitative discipline, and expertise in NLP or Computer Vision. Preferred qualifications include experience with MLOps tooling, big data technologies, and microservices.
Summary Generated by Built In

Job Description
Take a technical leadership position within JPMorgan's Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes.
As an Applied AI / ML Lead - Vice President - 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. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience.
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


Required qualifications, capabilities, and skills

  • Hands on experience in an ML engineering role
  • PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics
  • Track record of developing, deploying business critical machine learning models
  • Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc
  • Experience monitoring, maintaining, enhancing existing models over an extended time period
  • Specialism in NLP or Computer Vision
  • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)
  • Extensive experience with pytorch, numpy, pandas
  • Knowledge of open source datasets and benchmarks in NLP / Computer Vision
  • Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.)
  • Able 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 (e.g. Spark, Hadoop)
  • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints
  • Familiarity with GraphQL


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. 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
The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.

Top Skills

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What the Team is Saying

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The Company
HQ: New York, NY
289,097 Employees
Hybrid Workplace
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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