Software Engineer III - Applied AI

Testing Site - JPMC; Greater London; On-site; GBP 85,000 - 130,000; Full time

Job summary

JPMorgan Chase in the United Kingdom is seeking a Software Engineer III- Applied AI to help deliver an outstanding banking experience for customers. You will develop advanced AI/ML models, deploy generative AI solutions, and work with stakeholders to translate business needs into technical solutions.

The role emphasizes collaboration, cloud deployment on AWS, MLOps, and mentoring, with opportunities to grow in an inclusive, distributed team focused on real-world problems such as fraud

Qualifications

• Advanced degree in a STEM field (Computer Science or Software Engineering) with AI/ML experience.
• Proven track record of AI/ML model development and deployment on AWS.
• Deep familiarity with MLOps covering design, experimentation, deployment, monitoring, and maintenance.
• Expertise with TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn.
• Proficiency in Python with emphasis on code quality and testing.
• Experience with generative AI models via cloud service APIs (OpenAI).
• Experience integrating user feedback to create self-improving AI applications.
• Strong understanding of data preprocessing, feature engineering, and model evaluation.
• Familiarity with AWS cloud platforms.
• Excellent problem-solving and ability to work independently and collaboratively.
• Strong communication to convey technical concepts to non-technical stakeholders.

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.
• Analyze 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.

Skills

Python

AI/ML modeling

Data analysis

MLOps

AWS cloud

Communication

Mentoring

Teamwork

Education

Advanced degree in Computer Science or Software Engineering

Tools

TensorFlow

PyTorch

PyTorch Lightning

Scikit-learn

OpenAI API

Job description

Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Software Engineer III- Applied AI at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations.

Job 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.
• Analyze 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.
• 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.
• Deep familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models.
• Expertise in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn.
• Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing.
• Extensive 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.

Preferred Qualifications, Capabilities, And Skills

• A Ph.D. is a plus but not required.
• Experience in software engineering practices.
• Experience in developing AI solutions using agentic frameworks.
• Experience fine-tuning LLMs with advanced techniques.