Develop and deliver agentic AI and ML product components under senior direction. Build, test, and maintain LLM-powered features, write secure production Python code, participate in model evaluation, guardrail testing, observability, CI/CD and containerised deployments, and collaborate in agile processes to support IPB advisors and clients.
We're looking for a hands-on AI engineer eager to grow. Join the ranks of top talent at one of the world's most influential companies.
As an Applied AI ML Engineer – Associate at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design, develop, and deliver components of our agentic AI and machine learning products. Working under the direction of senior engineers and the AIML Team Lead, you will turn well-defined problems into production-quality code, contributing to solutions that support IPB advisors and clients across international markets.
This is an Associate-level role and an integral part of the IPB Tech AIML team, reporting to the AIML Team Lead.
Job responsibilities- Executes standard software solutions, design, development, and technical troubleshooting for the team's AI/ML products
- Builds and tests features of agentic AI, LLM-powered and ML applications under the direction of senior engineers
- Writes secure, high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Contributes to model evaluation, guardrail testing, and observability tasks to firm-wide Responsible AI standards
- Participates in agile ceremonies, code reviews, and technical design discussions
- Gathers, analyses, and draws conclusions from data to support feature delivery and troubleshooting
- Learns continuously, using AI coding tools (e.g., Claude Code, GitHub Copilot) as part of day-to-day development
- Adds to the team culture of diversity, Opportunity, inclusion, and respect
- Formal training or certification on AI/ML engineering concepts and applied experience
- Proficiency in Python and a working grasp of modern software engineering practices (testing, version control, code review)
- Practical exposure to machine learning and/or Large Language Models (prompt engineering, RAG, or agentic frameworks) through study, projects, or work experience
- Familiarity with AI coding tools as part of the development workflow
- Understanding of CI/CD, containerisation, or cloud-native deployment concepts
- Ability to communicate technical concepts clearly to teammates and stakeholders
- BSc in Computer Science, Data Science, Engineering, or a related quantitative field
- Industry-recognised cloud / GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar)
- Experience building or deploying an ML or LLM-powered application (academic, internship, or professional)
- Exposure to financial services technology
- Familiarity with Databricks, Kubernetes, or comparable ML / cloud platforms
- Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates
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.
Similar Jobs
Financial Services
Lead design, implementation, and operation of infrastructure to improve reliability and operational efficiency. Drive complex incident management, integrate AI-assisted reliability workflows across the SDLC, validate AI outputs and data sensitivity, lead cross-team projects, influence stakeholders with measurable reliability outcomes, and translate analysis into business recommendations.
Top Skills:
Enterprise AiSdlcSite Reliability EngineeringSloToolchain
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Senior Intelligence Analyst identifies and tracks vulnerabilities exploited by adversaries, produces intelligence reports, and collaborates with teams to enhance threat analysis and predictive insights.
Top Skills:
Cyber Threat IntelligenceEdrLinuxmacOSSIEMSnortWindowsYaraZeek
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Serve as the technical bridge to integration partners across EMEA: design, build, validate, and demo integrations with the CrowdStrike Falcon Platform; support partner sales and OEM/embedded deals; run POVs, RFI/RFP responses, and NFR evaluations; create enablement materials, demo environments, and integration documentation; track adoption metrics and collaborate on scalable onboarding and AI-driven efficiency improvements.
Top Skills:
Ai-Assisted Development Tools (E.G.BashC++Claude CodeCrowdstrike Falcon PlatformCursor)Github CopilotGoJavaJavaScriptJSONMcpOauth 2.0PowershellPythonRest ApisSIEMSoarTypescriptWebhooksXdrXML
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
