Applied AI ML Lead - DocAI in Westminster

Applied AI ML Lead - DocAI in Westminster

Westminster Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
J.P. Morgan

At a Glance

  • Tasks: Lead AI projects to revolutionise business decisions and automate processes in finance.
  • Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
  • Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
  • Other info: Collaborative team culture with a commitment to diversity and inclusion.
  • Why this job: Make a real impact by advancing AI in financial services and optimising business operations.
  • Qualifications: Masters or PhD in a quantitative field with hands-on ML engineering experience.

The predicted salary is between 60000 - 80000 Β£ per year.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. Check out the role overview below. If you are confident you have got the right skills and experience, apply today.

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.
  • Masters degree or 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.
  • 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.

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.

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.

Applied AI ML Lead - DocAI in Westminster employer: J.P. Morgan

As a leading global financial institution, we pride ourselves on fostering a dynamic and inclusive work environment that empowers our employees to excel. The Head of Markets Tax Operations role offers unparalleled opportunities for professional growth, collaboration across diverse teams, and the chance to drive innovation in tax operations while working in vibrant locations like Spain, Italy, and Hungary. Join us to be part of a culture that values excellence, embraces technology, and prioritises employee development, ensuring you can make a meaningful impact in your career.

J.P. Morgan

Contact Details:

J.P. Morgan Recruitment Team

We think you need these skills to ace Applied AI ML Lead - DocAI in Westminster

Machine Learning Engineering
Natural Language Processing (NLP)
Computer Vision
Statistical Analysis
MLOps Tooling
Model Deployment
Deep Learning Architectures