Senior Lead Software Engineering - Agentic AI Development | London, UK
Senior Lead Software Engineering - Agentic AI Development | London, UK

Senior Lead Software Engineering - Agentic AI Development | London, UK

London Full-Time 57600 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead innovative AI projects, optimising ML workflows and developing intelligent agents.
  • Company: Join J.P. Morgan, a global leader in financial services, shaping the future of technology.
  • Benefits: Enjoy a diverse workplace with opportunities for growth and flexible working options.
  • Why this job: Be at the forefront of AI development, making a real impact in a collaborative environment.
  • Qualifications: MS/PhD in Computer Science or related field; strong Python and ML experience required.
  • Other info: Diversity and inclusion are core values; we welcome applicants from all backgrounds.

The predicted salary is between 57600 - 84000 £ per year.

Senior Lead Software Engineering – Agentic AI Development

Senior Lead Software Engineering – Agentic AI Development

JPMorgan Chase & Co. London, United Kingdom

Senior Lead Software Engineering – Agentic AI Development

JPMorgan Chase & Co. London, United Kingdom

Senior Lead Software Engineering – Agentic AI Development

Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of what\’s possible.
As a Senior Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm\’s business objectives.
The test engineering team is at the forefront of innovation, developing intelligent agents powered by top foundational models to enhance the development and testing experience for our teams and partners. We build solutions that automate quality workflows, accelerate debugging, and enable smarter decision-making across SDLC. Join us in shaping the future of intelligent testing through cutting-edge AI and model-driven engineering.
Job responsibilities

  • Serves as a subject matter expert on a wide range of ML techniques and optimizations.
  • Provides in-depth knowledge of ML algorithms, frameworks, and techniques.
  • Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
  • Conducts experiments using latest ML technologies, analyzing results, tuning models
  • Provides has Hands on coding to bring the experimental results into production solutions by collaborating with engineering team. Owning end to end code development in python for both proof of concept/experimentation and production-ready solutions.
  • Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.
  • Integrates Generative AI within the ML Platform using state-of-the-art techniques.

Required qualifications, capabilities, and skills

  • Formal training or certification (MS and/or PhD) in Computer Science, Machine Learning, or a related field, with applied machine learning concepts experience.
  • Experience in the Python programming language is essential
  • Experience in applying data science, ML techniques to solve business problems.
  • Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
  • Hands-on experience with machine learning and deep learning methods.
  • Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
  • Experience in advanced applied ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
  • Ability to work on tasks and projects through to completion with limited supervision.
  • Passion for detail and follow through. Excellent communication skills and team player

Preferred qualifications, capabilities, and skills

  • Master\’s degree in computer science, ML or related areas
  • Experience with Ray, MLFlow, and/or other distributed training frameworks.
  • In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
  • Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
  • Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
  • Experience working with large-scale MLOps pipelines, working with and deploying models to production services.

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\’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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Senior Lead Software Engineering - Agentic AI Development | London, UK employer: JPMorgan Chase & Co.

At JPMorgan Chase, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. As a Senior Lead Software Engineer, you will have access to cutting-edge technology and resources, alongside ample opportunities for professional growth and development within a diverse and inclusive environment. Join us to be part of a team that is shaping the future of intelligent testing and AI-driven solutions, while enjoying the benefits of a global leader in financial services.
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Contact Detail:

JPMorgan Chase & Co. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Lead Software Engineering - Agentic AI Development | London, UK

✨Tip Number 1

Familiarise yourself with the latest advancements in machine learning and AI, particularly focusing on large language models (LLMs) and their applications. This knowledge will not only help you during interviews but also demonstrate your passion for the field.

✨Tip Number 2

Engage with the AI and machine learning community by attending relevant meetups, webinars, or conferences. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for the position.

✨Tip Number 3

Showcase your hands-on experience with Python and deep learning frameworks like PyTorch or TensorFlow through personal projects or contributions to open-source initiatives. This practical experience can set you apart from other candidates.

✨Tip Number 4

Prepare to discuss specific examples of how you've optimised ML workflows or solved complex problems using advanced techniques. Being able to articulate your thought process and results will highlight your expertise and problem-solving skills.

We think you need these skills to ace Senior Lead Software Engineering - Agentic AI Development | London, UK

Expertise in Machine Learning Techniques
Proficiency in Python Programming
Experience with Natural Language Processing (NLP)
Hands-on experience with Deep Learning Frameworks (e.g., PyTorch, TensorFlow)
Knowledge of Large Language Models (LLMs)
Experience in GPU Optimization and Fine Tuning
Understanding of MLOps Pipelines
Familiarity with Cloud Platforms (e.g., AWS, Sagemaker)
Ability to Conduct Experiments and Analyse Results
Strong Problem-Solving Skills
Excellent Communication and Team Collaboration Skills
Experience with Distributed Training Frameworks (e.g., Ray, MLFlow)
Knowledge of Search/Ranking and Recommender Systems
Ability to Work Independently with Limited Supervision
Attention to Detail and Follow-Through

Some tips for your application 🫡

Understand the Role: Before applying, make sure to thoroughly read the job description for the Senior Lead Software Engineering position. Understand the key responsibilities and required qualifications, especially in areas like machine learning, Python programming, and deep learning frameworks.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your expertise in ML techniques, Python coding, and any hands-on experience with frameworks like PyTorch or TensorFlow.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and machine learning. Mention specific projects or experiences that demonstrate your ability to optimise ML workflows and collaborate effectively with engineering teams.

Highlight Your Achievements: In both your CV and cover letter, include quantifiable achievements related to your previous work in software engineering and machine learning. This could be successful projects, improvements in system performance, or innovative solutions you developed.

How to prepare for a job interview at JPMorgan Chase & Co.

✨Showcase Your Technical Expertise

As a Senior Lead Software Engineer, it's crucial to demonstrate your in-depth knowledge of machine learning techniques and frameworks. Be prepared to discuss specific projects where you've applied ML algorithms, especially in Python, and how you optimised workflows using large language models.

✨Prepare for Problem-Solving Scenarios

Expect to face technical challenges during the interview. Brush up on your problem-solving skills by practising coding exercises related to ML and AI. Be ready to explain your thought process and how you approach debugging and optimising code.

✨Communicate Clearly and Effectively

Excellent communication skills are essential for this role. Practice articulating complex technical concepts in a way that is easy to understand. Be prepared to discuss how you collaborate with product and engineering teams to deliver solutions.

✨Demonstrate Your Passion for Innovation

JPMorgan Chase values innovation, so share your enthusiasm for cutting-edge technologies in AI and machine learning. Discuss any personal projects or research you've undertaken that showcases your commitment to staying ahead in the field.

Senior Lead Software Engineering - Agentic AI Development | London, UK
JPMorgan Chase & Co.
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  • Senior Lead Software Engineering - Agentic AI Development | London, UK

    London
    Full-Time
    57600 - 84000 £ / year (est.)

    Application deadline: 2027-09-02

  • J

    JPMorgan Chase & Co.

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