Senior Lead Software Engineer- Gen AI and AIML

Glasgow - UK

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

Description

When you mentor and advise multiple technical teams and move financial technologies forward its a big challenge with big impact. You were made for this.

As a Senior Manager of Software Engineering at JPMorganChase within the CORPORATE TECHNOLOGY you serve in a leadership role by providing technical coaching and advisory for multiple technical teams as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

Job responsibilities

Work closely with product managers data scientists ML engineers and other stakeholders to understand requirements and prioritize use cases.
Design develop and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
Manage mentor and guide a team of ML and MLOps engineers.
Develop and maintain automated pipelines for model deployment ensuring scalability reliability and efficiency.
Implement optimization strategies to fine-tune generative models for specific NLP use cases ensuring high-quality outputs in summarization and text generation.
Conduct thorough evaluations of generative models (e.g. GPT-4.1) iterate on model architectures and implement improvements to enhance overall performance in NLP applications.
Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research implement cutting-edge techniques and leverage external APIs for enhanced functionality.

Required qualifications capabilities and skills

Bachelors or Masters degree in Computer Science Engineering or a related field
Experience in applied AI/ML engineering with a track record of developing and deploying business critical machine learning models in production.
Proficiency in programming languages like Python for model development experimentation and integration with OpenAI API.
Experience with machine learning frameworks libraries and APIs such as TensorFlow PyTorch Scikit-learn and OpenAI API.
Experience with cloud computing platforms (e.g. AWS Azure or Google Cloud Platform) containerization technologies (e.g. Docker and Kubernetes) and microservices design implementation and performance optimization.
Solid understanding of fundamentals of statistics machine learning (e.g. classification regression time series deep learning reinforcement learning) and generative model architectures particularly GANs VAEs.
Ability to identify and address AI/ML/LLM/GenAI challenges implement optimizations and fine-tune models for optimal performance in NLP applications.
Strong collaboration skills to work effectively with cross-functional teams communicate complex concepts and contribute to interdisciplinary projects.
A portfolio showcasing successful applications of generative models in NLP projects including examples of utilizing OpenAI APIs for prompt engineering.

Preferred qualifications capabilities and skills

Familiarity with the financial services industries.
Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
Hands-on knowledge of Chain-of-Thoughts Tree-of-Thoughts Graph-of-Thoughts prompting strategies.

Required Experience:

Senior IC

DescriptionWhen you mentor and advise multiple technical teams and move financial technologies forward its a big challenge with big impact. You were made for this.As a Senior Manager of Software Engineering at JPMorganChase within the CORPORATE TECHNOLOGY you serve in a leadership role by providing ...

Description

When you mentor and advise multiple technical teams and move financial technologies forward its a big challenge with big impact. You were made for this.

Job responsibilities

Work closely with product managers data scientists ML engineers and other stakeholders to understand requirements and prioritize use cases.
Design develop and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
Manage mentor and guide a team of ML and MLOps engineers.
Develop and maintain automated pipelines for model deployment ensuring scalability reliability and efficiency.
Implement optimization strategies to fine-tune generative models for specific NLP use cases ensuring high-quality outputs in summarization and text generation.
Conduct thorough evaluations of generative models (e.g. GPT-4.1) iterate on model architectures and implement improvements to enhance overall performance in NLP applications.
Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research implement cutting-edge techniques and leverage external APIs for enhanced functionality.

Required qualifications capabilities and skills

Bachelors or Masters degree in Computer Science Engineering or a related field
Experience in applied AI/ML engineering with a track record of developing and deploying business critical machine learning models in production.
Proficiency in programming languages like Python for model development experimentation and integration with OpenAI API.
Experience with machine learning frameworks libraries and APIs such as TensorFlow PyTorch Scikit-learn and OpenAI API.
Experience with cloud computing platforms (e.g. AWS Azure or Google Cloud Platform) containerization technologies (e.g. Docker and Kubernetes) and microservices design implementation and performance optimization.
Solid understanding of fundamentals of statistics machine learning (e.g. classification regression time series deep learning reinforcement learning) and generative model architectures particularly GANs VAEs.
Ability to identify and address AI/ML/LLM/GenAI challenges implement optimizations and fine-tune models for optimal performance in NLP applications.
Strong collaboration skills to work effectively with cross-functional teams communicate complex concepts and contribute to interdisciplinary projects.
A portfolio showcasing successful applications of generative models in NLP projects including examples of utilizing OpenAI APIs for prompt engineering.

Preferred qualifications capabilities and skills

Familiarity with the financial services industries.
Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
Hands-on knowledge of Chain-of-Thoughts Tree-of-Thoughts Graph-of-Thoughts prompting strategies.

Required Experience:

Senior IC

Key Skills

Spring
.NET
C/C++
Go
React
OOP
C#
AWS
Data Structures
Software Development
Java
Distributed Systems

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About Company

JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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