JPMorgan Software Engineer III - AI/ML 

United Kingdom, Scotland 

426805912

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems including data wrangling/analysis, model training, testing, and selection.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions.
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and applied experience
• Relevant experience post-advanced degree (MS, PhD) in a quantitative field (e.g., Data Science, Computer Science, Applied Mathematics, Statistics, Econometrics).
• Hands-on practical experience and work experience with ML projects, both supervised and unsupervised.
• Proficient programming skills with Python, including libraries such as NumPy, pandas, and scikit-learn, as well as R.
• Understanding and usage of the OpenAI API.
• Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG).
• Experience with data and model serving using Flask, FastAPI, and Kubernetes.
• Familiarity with other tools such as agent-based modeling frameworks (e.g., Reflection), Terraform, and Airflow.
• Demonstrated experience working with large and complex datasets.
• Experience in anomaly detection techniques and applications.
• Excellent problem-solving, communication (verbal and written), and teamwork skills.

Preferred qualifications, capabilities, and skills

• Knowledge of deep learning frameworks such as TensorFlow and PyTorch.
• Understanding of big data frameworks such as Spark, Hadoop, or Databricks.
• Databases understanding, including SQL (Oracle, Aurora), Chroma DB, and Vector DB.
• Knowledge with graph analytics and neural networks.
• Familiarity in the financial services industry.