Senior Lead Software Engineering - Agnetic AI Development

ZipRecruiter; England; On-site; GBP 70,000 - 110,000; Full time

Job summary

A leading financial services firm is seeking a Senior Lead Software Engineer to enhance AI and Machine Learning capabilities. The role involves conducting critical technology solutions, developing intelligent agents, and optimizing workflows. Ideal candidates possess strong qualifications in machine learning and programming, particularly in Python.

Qualifications

• Formal training in Computer Science or related field with experience in ML.
• Experience with advanced ML techniques and frameworks such as PyTorch, TensorFlow.
• Excellent communication skills and ability to work independently.

Responsibilities

• Conducts experiments using latest ML technologies and analyzes results.
• Provides hands-on coding to bring experimental results into production solutions.
• Optimizes system accuracy and performance, collaborating with engineering teams.

Skills

Machine Learning

Natural Language Processing

Python

Deep Learning

Communication

Education

Master's degree in Computer Science

PhD in Machine Learning

Tools

PyTorch

TensorFlow

AWS

Job description

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Senior Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

The test engineering team is at the forefront of innovation, developing intelligent agents powered by top foundational models to enhance the development and testing experience for our teams and partners. We build solutions that automate quality workflows, accelerate debugging, and enable smarter decision-making across SDLC. Join us in shaping the future of intelligent testing through cutting-edge AI and model-driven engineering.

Job Responsibilities

• Serves as a subject matter expert on a wide range of ML techniques and optimizations.
• Provides in-depth knowledge of ML algorithms, frameworks, and techniques.
• Enhances ML workflows through advanced proficiency in large models (LLMs) and related techniques.
• Conducts experiments using latest ML technologies, analyzing results, tuning models.
• Provides hands-on coding to bring the experimental results into production solutions by collaborating with engineering teams. Owning end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions.
• Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.
• Integrates Generative AI within the ML Platform using state-of-the-art techniques.

Required Qualifications, Capabilities, and Skills

• Formal training or certification (MS and/or PhD) in Computer Science, Machine Learning, or a related field, with applied machine learning concepts experience.
• Experience in programming languages such as Python, Java, C/C++, etc. Intermediate Python is a must.
• Experience applying data science and ML techniques to solve business problems.
• Solid background in Natural Language Processing (NLP) and Large Models (LLMs).
• Hands-on experience with machine learning and deep learning methods.
• Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
• Experience in advanced applied ML areas such as GPU optimization, fine-tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
• Ability to work independently on tasks and projects through to completion.
• Excellent communication skills and a team player attitude.

Additional Qualifications, Capabilities, and Skills

• Master's degree in computer science, ML, or related areas.
• Experience with Ray, MLFlow, and other distributed training frameworks.
• Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
• Deep understanding of LLM techniques, including Agents, Planning, Reasoning, and related methods.
• Experience building and deploying ML models on cloud platforms such as AWS, including tools like Sagemaker and EKS.
• Experience working with large-scale MLOps pipelines and deploying models to production services.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals, and institutional investors. Our approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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 value diversity and inclusion. We do not discriminate based on protected attributes and make reasonable accommodations for applicants and employees. Visit our FAQs for more information about requesting accommodations.

About The Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services, and payments. We serve clients in more than 100 countries, providing strategic advice, raising capital, managing risk, and extending liquidity worldwide.