2603 IT & Software Developer jobs in the UK

JPMorganChase jobs

Applied AI/ML Lead

£49,000 - 79,000
JPMorganChase
King's Park Avenue 270, Glasgow
£49,000 - 79,000
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Lead
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Formal training or certification on software engineering concepts and applied experience. - Hands-on experience in building Agentic AI solutions. - Familiarity with LLM orchestration and agentic AI libraries. - Strong programming skills in Python with experience in PyTorch or TensorFlow. - Experience building data pipelines for both structured and unstructured data processing. - Experience in developing APIs and integrating NLP or LLM models into software applications. - Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing. - Excellent problem-solving skills and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner. - Basic knowledge of deployment processes, including experience with GIT and version control systems. - Hands-on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environments.

Technologies

AI
LLM
Machine Learning
PyTorch

Responsibilities

- Lead the development and implementation of GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes. - Oversee the design, deployment, and management of prompt-based models on LLMs for various NLP tasks in the financial services domain. - Conduct and guide research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries. - Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization. - Communicate effectively with both technical and non-technical stakeholders, including senior leadership. - Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency. - Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization. - Analyze and interpret data to evaluate model performance and identify areas of improvement.

Description


At J.P. Morgan, we are a global leader in financial services, providing strategic advice and products to prominent corporations, governments, wealthy individuals, and institutional investors. Our commitment to serving clients with a first-class business approach drives everything we do. We value our diverse workforce and see it as a key strength that contributes to our success. We strive to build long-term partnerships with our clients to help achieve their business objectives. Our team within Asset & Wealth Management delivers industry-leading investment management and private banking solutions, ensuring clients have intentional strategies for their wealth and finances.
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