Applied AI ML Lead

NLP PEOPLE; Glasgow; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading AI technology firm in Glasgow is seeking an Applied AI/ML Lead. This role involves leading the design and implementation of AI solutions to optimize business processes and enhance client engagement. The ideal candidate will have over 5 years of experience in AI/ML, strong programming skills in Python, and experience with cloud platforms. This position offers opportunities to work on innovative projects within the financial services sector.

Qualifications

• 5+ years of experience in AI/ML and software engineering.
• Experience with cloud platforms for AI/ML deployment.
• Strong programming skills with experience in building NLP models.

Responsibilities

• Lead the development of GenAI and Agentic AI solutions.
• Oversee deployment of prompt-based models for NLP tasks.
• Collaborate with teams to develop solutions for business needs.

Skills

Python programming

Agentic AI solutions

Data pipelines

Cloud platforms (AWS or Azure)

MLOps tools

Prompt engineering

Education

Formal training in software engineering

Tools

PyTorch

TensorFlow

Job description

Overview

Revolutionize private sector use of artificial intelligence and machine learning technologies. As the Applied AI/ML Lead within our dynamic team of innovators and technologists, you will revolutionize how the Private Bank services and advises clients, deepen client engagements, and promote process transformation. You will lead efforts to analyze existing processes and vast amounts of data to design autonomous AI agents, leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery.

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.

Required qualifications, capabilities, and skills

• 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.

Preferred qualifications, capabilities, and skills

• Familiarity with model fine-tuning techniques.
• Knowledge of financial products and services, including banking, investment, and risk management.

Company

JPMC Candidate Experience page

Level of experience

Senior (5+ years of experience)

Tags

Data Analysis, Industry, Machine Learning, NLP, United Kingdom