Lead Software Engineer

ZipRecruiter; England; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading financial services firm in the UK seeks an Applied AI ML Scientist/Engineer to advance AI in financial services, develop machine learning models, and mentor junior staff. Candidates should have an advanced degree in a STEM field and experience in deploying AI applications in production environments. This role offers the opportunity to work with cutting-edge AI technologies in a collaborative setting.

Qualifications

• Advanced degree in a STEM field with experience in AI/ML.
• Experience in deploying AI/ML applications in production.
• Strong communication skills to convey technical concepts.

Responsibilities

• Development of advanced machine learning models.
• Architect and oversee the deployment of generative AI applications.
• Mentor and guide junior team members.

Skills

Python proficiency

AI/ML model development

Problem-solving skills

Communication skills

Education

Advanced degree in Computer Science or Software Engineering

Tools

AWS

TensorFlow

PyTorch

Job description

Overview

Join our Applied AI/ML team to advance AI in financial services and optimise business decisions. As an Applied AI ML Scientist/Engineer in the Engineering Space at JPMorganChase, you'll be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimise business decisions and automate processes. This role offers a unique blend of artificial intelligence and software engineering, allowing you to advance engineering processes and build impactful products. In this role, you will leverage the latest research in Large Models, Natural Processing, and statistical machine learning to build AI-powered products that automate processes and enhance decision-making. You will collaborate with engineering and testing teams to design scalable Machine Learning services and communicate AI capabilities to diverse audiences.

Responsibilities

• Development of advanced machine learning models to address complex operational challenges.
• Evaluating and communicating the impact brought by proposed solutions.
• Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes.
• Collaborate with senior stakeholders to understand strategic business needs and translate them into comprehensive technical solutions.
• Analyse large datasets to extract actionable insights and support data-driven decision-making at a strategic level.
• Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability.
• Stay informed about the latest advancements in AI/ML technologies and drive their integration into our operations.
• Mentor and guide junior team members, fostering a culture of innovation and continuous learning.

Required Qualifications, Capabilities, And Skills

• Advanced degree in a STEM field (Degree in Computer Science or Software Engineering), with experience in AI/ML.
• Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing.
• Proven track record of AI/ML model development and deployment of AI/ML applications in a production environment, with expertise in deploying models on AWS platforms.
• Familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models.
• Familiarity with AI/ML frameworks such as OpenAI SDK, Langchain, TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn.
• Experience with generative AI models, mainly as cloud service APIs (e.g., OpenAI).
• Experience with integrating user feedback to establish self-improving AI applications.
• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms (AWS).
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.

Qualifications, Capabilities, And Skills

• Experience in software engineering practices.
• Experience in developing AI solutions using agentic frameworks.
• Experience fine-tuning LLMs with advanced techniques.
• Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering.
• Demonstrated ability to design and implement AI application architecture.
• Significant experience in bringing AI applications to production with a focus on strategic impact and innovation.

#ICBCareer #ICBEngineering

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 and at our company. We do not discriminate on the basis of any protected attribute, including, expression, marital or veteran status, or any other basis protected under applicable law. 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 an accommodation.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.