AI/ML Platform Engineer - Production-Ready, Secure

Next Frontier Capital; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

J.P. Morgan is seeking a Software Engineer III to drive production-grade AI and machine learning data platforms. You will partner with AI Researchers and Data Scientists to turn experiments into secure, scalable solutions across the firm, mentoring peers and shaping engineering practices.

The role emphasizes Python-driven development, infrastructure-as-code, and AI-assisted tooling within a collaborative, inclusive culture focused on continuous improvement.

Qualifications

• Formal training or certification in software engineering concepts with applied full stack development experience
• Practical experience developing infrastructure as code, ideally using Terraform
• Hands-on experience building applications, testing, and supporting operational stability
• Proficiency in at least one programming language, with a strong focus on Python
• Experience with automation and continuous integration, delivery, and testing methods
• Working knowledge of the Software Development Life Cycle and Model Development Life Cycle
• Understanding of agile methodologies and basic proficiency with architectural frameworks
• Demonstrated experience in platform development within a technical discipline such as cloud, artificial intelligence, or machine learning
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

Responsibilities

• Collaborate with Data Scientists and AI Researchers to advance experiments into scalable, optimized, production grade applications
• Develop software applications for AI and machine learning platforms, including generative AI applications such as agents
• Design and troubleshoot technical solutions using creative problem solving to address complex engineering challenges
• Identify and automate remediation for recurring issues and developer pain points to improve operational efficiency
• Deliver solutions using continuous integration and continuous delivery pipelines to public and private cloud platforms
• Support experimentation environments, including tools such as Jupyter Notebooks
• Mentor junior engineers and help drive engineering practices across the team and with research partners
• Contribute to a team culture of diversity, opportunity, inclusion, and respect
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Skills

Python

Terraform

CI/CD

Full stack

Agile

Education

Formal software engineering training

Tools

Jupyter Notebooks

Job description

J.P. Morgan is seeking a Software Engineer III to drive production-grade AI and machine learning data platforms. You will partner with AI Researchers and Data Scientists to turn experiments into secure, scalable solutions across the firm, mentoring peers and shaping engineering practices.

The role emphasizes Python-driven development, infrastructure-as-code, and AI-assisted tooling within a collaborative, inclusive culture focused on continuous improvement.