Applied AI ML Lead - DocAI

Testing Site - JPMC; Greater London; Presencial; GBP 120 000 - 180 000; Tempo integral

Resumo da oferta

JPMorgan, a leading financial services firm, seeks an Applied AI / ML Lead – Vice President to advance AI research and production ML systems within the Commercial & Investment Bank. You will drive ML-enabled decisions, automate processes, and shape governance across data, model development, and deployment.

The role blends research and software engineering, with opportunities for leadership depending on experience, and a strong emphasis on delivering production-grade ML capabilities.

Qualificações

• Hands-on experience in an ML engineering role.
• Masters or PhD in Computer Science, Mathematics, Statistics or similar.
• Track record of developing, deploying business-critical ML models.
• Broad knowledge of MLOps tooling for versioning, reproducibility, observability.
• Experience monitoring and maintaining models over time.
• Specialism in NLP or Computer Vision.
• Strong fundamentals in statistics, optimization and ML theory; familiarity with transformers, CNNs, autoencoders.
• Extensive experience with PyTorch, NumPy, Pandas.
• Experience implementing distributed/multi-threaded/scalable apps (Ray, Horovod, DeepSpeed).
• Ability to communicate technical information clearly to stakeholders.

Responsabilidades

• Build scalable Data Science capabilities across multiple business use cases.
• Collaborate with SWE team to design and deploy ML services integrated with strategic systems.
• Research data sets 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 in designing production architectures.

Conhecimentos

ML engineering

NLP

Computer Vision

MLOps

PyTorch

NumPy

Pandas

Distributed systems

Communication

Formação académica

Master's degree or PhD in quantitative discipline

Ferramentas

Kubeflow

DVC

Ray

Spark

Hadoop

REST/ gRPC

GraphQL

Descrição da oferta de emprego

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

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