Full Job Description

Location: LONDON, United Kingdom

Are you passionate about building innovative technology that powers AI and machine learning across a global organization? As part of our team, you’ll help shape the future of model deployment at scale, collaborating with talented engineers and data scientists. You’ll have the opportunity to work on impactful projects, grow your skills, and contribute to a platform that drives real business outcomes. We value creativity, collaboration, and a commitment to excellence.

As a Software Engineer in the Firmwide AI/ML Deployment Platform team, you will design and develop cloud-native solutions that support model deployment across the organization. You will work closely with data scientists and engineers to deliver features that streamline production workflows. Your contributions will help scale our platform to meet the needs of diverse internal clients, ensuring reliability and innovation. You will be part of a collaborative environment focused on continuous improvement and technical excellence.

Job Responsibilities:

Build and deploy infrastructure solutions for seamless integration of control plane and client accounts

Develop and implement APIs for platform functionalities such as automated retraining, scheduling, endpoint deployments, and autoscaling

Design robust features to support a growing internal customer base, including multi-region and disaster recovery capabilities

Architect and implement model monitoring solutions, with emphasis on LLM monitoring and automated issue correction

Engage with clients to identify strategic solutions and provide deployment and debugging support

Assist in implementing platform capabilities aligned with product requirements

Deploy infrastructure and develop managed environments for platform operations

Required Qualifications, Capabilities, and Skills:

Knowledge of AWS services and cloud-based infrastructure

Experience building resilient software platforms

Proficiency in architecting software solutions at scale

Ability to design solutions with strategic insight

Proficiency in Python

Preferred Qualifications, Capabilities, and Skills:

Familiarity with monitoring tools, especially for AI/ML model monitoring

Proficiency in Golang

Experience with AWS Sagemaker for model training and deployment

Familiarity with Kubernetes and managing deployments to EKS

Knowledge of networking concepts such as Virtual Private Clouds and DNS

Experience working with LLMs

Experience with Terraform or other Infrastructure as Code tools

Experience in API development and design

Software engineer to join the firm-wide AI serving platform

Bulge Bracket Investment Banks

17 days ago

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Lead Software Engineer - Python

at J.P. Morgan

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: London

Country: United Kingdom

As a Lead Software Engineer on the Firmwide AI/ML Deployment Platform team in London, you will design and build cloud-native infrastructure and APIs to support model deployment at scale. You will collaborate with data scientists and engineers to implement features such as automated retraining, endpoint deployments, autoscaling, multi-region disaster recovery, and LLM monitoring. The role requires strong AWS and Python proficiency and familiarity with infrastructure-as-code, Kubernetes/EKS, and model monitoring tools. You will engage with internal clients to deliver reliable, highly available platform capabilities and provide deployment and debugging support.

Apply now

Full Job Description

Location: LONDON, United Kingdom

Job Responsibilities:

Build and deploy infrastructure solutions for seamless integration of control plane and client accounts

Develop and implement APIs for platform functionalities such as automated retraining, scheduling, endpoint deployments, and autoscaling

Design robust features to support a growing internal customer base, including multi-region and disaster recovery capabilities

Architect and implement model monitoring solutions, with emphasis on LLM monitoring and automated issue correction

Engage with clients to identify strategic solutions and provide deployment and debugging support

Assist in implementing platform capabilities aligned with product requirements

Deploy infrastructure and develop managed environments for platform operations

Required Qualifications, Capabilities, and Skills:

Knowledge of AWS services and cloud-based infrastructure

Experience building resilient software platforms

Proficiency in architecting software solutions at scale

Ability to design solutions with strategic insight

Proficiency in Python

Preferred Qualifications, Capabilities, and Skills:

Familiarity with monitoring tools, especially for AI/ML model monitoring

Proficiency in Golang

Experience with AWS Sagemaker for model training and deployment

Familiarity with Kubernetes and managing deployments to EKS

Knowledge of networking concepts such as Virtual Private Clouds and DNS

Experience working with LLMs

Experience with Terraform or other Infrastructure as Code tools

Experience in API development and design

Software engineer to join the firm-wide AI serving platform

Job Details

Lead Software Engineer - Python

Full Job Description

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