Software Engineer II - Applied AI

Testing Site - JPMC; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

JPMorgan Chase's International Consumer Bank is seeking a Software Engineer III to deliver AI/ML solutions that power real‑world banking experiences. You will join a distributed team that values collaboration, curiosity, and customer focus.

You will develop advanced ML models, deploy on AWS, apply MLOps, and mentor juniors while translating business needs into scalable technical solutions.

Qualifications

• Advanced degree in STEM with AI/ML experience.
• Proven AI/ML model development and deployment in production.
• Experience deploying models on AWS and following MLOps practices.
• Strong Python skills and emphasis on code quality and testing.

Responsibilities

• Develop advanced machine learning models for complex operational problems.
• Evaluate impact of proposed AI/ML solutions and communicate results.
• Architect and deploy generative AI applications and agents to automate business processes.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Analyze large datasets to extract insights and support data-driven decisions.
• Ensure AI/ML solutions are scalable, reliable, and secure in production.
• Mentor junior team members and promote innovation.

Skills

Advanced degree in STEM

AI/ML model development

MLOps

AWS

TensorFlow/PyTorch

Python

OpenAI APIs

Data preprocessing

Team collaboration

Education

STEM degree (CS/Software Eng)

Tools

AWS

TensorFlow

PyTorch

Scikit-learn

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 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.
• 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.