Senior Lead Software Engineer - AI/ML & Data Platforms in London

Senior Lead Software Engineer - AI/ML & Data Platforms in London

London Full-Time 76023 - 95029 £ / year (est.) No working from home possible

At a Glance

  • Tasks: Lead innovative software projects and drive impactful AI/ML solutions.
  • Company: Join J.P. Morgan, a global leader in financial services.
  • Benefits: Competitive salary, diverse culture, and opportunities for growth.
  • Other info: Dynamic team environment focused on diversity and inclusion.
  • Why this job: Make a real difference in technology and finance with cutting-edge tools.
  • Qualifications: 10+ years in software engineering and experience with AI-assisted development.

The predicted salary is between 76023 - 95029 £ per year.

If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you. As a Senior Lead Software Engineer at JPMorganChase within the AI/ML & Data Platforms group, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

Job Responsibilities

  • Leads technology and process implementations to achieve functional technology objectives.
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Makes decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures.
  • Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
  • Delivers technical solutions that can be leveraged across multiple businesses and domains.
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams.
  • Champions the firm's culture of diversity, opportunity, inclusion, and respect.

Required Qualifications, Capabilities, and Skills

  • Hands‑on practical experience delivering system design, application development, testing, and operational stability.
  • Experience working at code level.
  • Formal training or certification on software engineering concepts and 10+ years applied experience.
  • Extensive experience in building and running AWS/public cloud based applications.
  • Demonstrated experience leading effective use of enterprise‑authorized AI‑assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
  • Experience developing or leading cross‑functional teams of technologists.
  • Experience with hiring, developing, and recognizing talent.

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.

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.

Senior Lead Software Engineer - AI/ML & Data Platforms in London employer: 慨正橡扯

At J.P. Morgan, we pride ourselves on being an exceptional employer, particularly for our Senior Lead Software Engineer role within the AI/ML & Data Platforms group. Our commitment to innovation and excellence is matched by a vibrant work culture that values diversity, inclusion, and employee growth, offering ample opportunities for professional development in a dynamic environment. Located at the heart of the financial services industry, we provide our employees with the chance to make a significant impact while working alongside some of the brightest minds in technology and finance.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Lead Software Engineer - AI/ML & Data Platforms in London

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Contribute to Open Source Projects

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We think you need these skills to ace Senior Lead Software Engineer - AI/ML & Data Platforms in London

Software Design
Application Development
Technical Troubleshooting
AWS
AI-assisted Software Development Tools
Secure Coding
Automated Testing

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at 慨正橡扯.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at 慨正橡扯 and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at 慨正橡扯

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If 慨正橡扯 uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.