Lead Software Engineer - Python and AIML

J.P. MORGAN; Scotland; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading financial services firm in Scotland is seeking an AI/ML Lead to transform how the Private Bank utilizes artificial intelligence. You will develop and implement innovative AI solutions and enhance decision-making processes within the organization. The ideal candidate will have strong programming skills in Python and hands-on experience with cloud platforms. This role is crucial for leveraging advanced data analysis to solve complex business challenges effectively, while also working closely with various teams for successful implementations.

Qualifications

• Formal training or certification on software engineering concepts and applied experience.
• Hands-on experience in building Agentic AI solutions.
• Strong programming skills in Python with experience in PyTorch or TensorFlow.

Responsibilities

• Lead the development of AI solutions using Python.
• Oversee the management of prompt-based models for NLP tasks.
• Collaborate with teams to develop business solutions.

Skills

AI/ML solution development using Python

Cloud deployment (AWS or Azure)

Data pipeline construction

Programming in Python

Familiarity with LLM orchestration

Experience with MLOps tools

Problem-solving skills

Education

Formal training in software engineering

Tools

PyTorch

TensorFlow

GIT

Job description

Job Description

Revolutionize private sector use of artificial intelligence and machine learning technologies.

As the 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.

Job 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.

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 first-class business in a first-class way 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 place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.