Senior Lead Software Engineering - Agentic AI Development

ZipRecruiter; England; On-site; GBP 70,000 - 100,000; Full time

Job summary

A prominent financial services firm in the UK is seeking a Senior Lead Software Engineer to enhance their AI and Machine Learning Data Platform. This role involves developing intelligent agents, optimizing ML workflows, and collaborating with teams to deliver innovative solutions. Ideal candidates will have a strong background in Python programming and extensive experience in machine learning and deep learning methods.

Qualifications

• Formal training in Machine Learning or a related field.
• Hands-on experience with machine learning methods.
• Experience applying data science to solve business problems.

Responsibilities

• Conduct critical technology solutions across multiple areas.
• Integrate Generative AI within the ML Platform.
• Conduct experiments using the latest ML technologies.

Skills

Python programming

Machine Learning techniques

Natural Language Processing

Deep Learning frameworks (PyTorch/TensorFlow)

ML algorithms and frameworks

Education

MS and/or PhD in Computer Science or related field

Master's degree in computer science or ML

Tools

Ray

MLFlow

AWS tools (Sagemaker, EKS)

Job description

Job DescriptionJob 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 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 Python programming is essential.
• 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 on tasks and projects through to completion with limited supervision.
• Passion for detail and follow-through. Excellent communication skills and team player.

Additional qualifications, capabilities, and skills

• Master's degree in computer science, ML, or related areas.
• Experience with Ray, MLFlow, and/or other distributed training frameworks.
• In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
• Deep understanding of Large Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
• Experience working with large-scale MLOps pipelines, 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. We do not discriminate on the basis of protected attributes, including gender, race, age, and others. We also make reasonable accommodations for applicants' and employees' practices and beliefs, as well as mental health or physical needs. 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.