Lead Software Engineer - MLOps in London

Lead Software Engineer - MLOps in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
United States Digital Space LLC

At a Glance

  • Tasks: Design and deploy AI/ML solutions for innovative banking experiences.
  • Company: Join J.P. Morgan, a global leader in financial services.
  • Benefits: Competitive salary, diverse team, career growth, and impactful work.
  • Other info: Inclusive environment with opportunities to mentor and grow.
  • Why this job: Shape the future of banking with cutting-edge technology and a collaborative culture.
  • Qualifications: Experience in software engineering, Java, Python, and cloud technologies.

The predicted salary is between 70000 - 90000 £ per year.

Join us as we transform digital banking and redefine what’s possible for our customers. You’ll have the opportunity to shape the future of financial services, working with cutting‑edge technology and a diverse, collaborative team. At the company, your curiosity and passion for technology will help us deliver secure, intelligent banking solutions. We value your ideas and empower you to make a real impact. Discover career growth and mobility while building the bank of the future.

As a Lead Software Engineer at JPMorgan Chase within the International Consumer Bank MLOps team, you will design, build, and deploy scalable AI/ML solutions that promote innovation and deliver outstanding banking experiences. You will collaborate with data scientists, product managers, and engineering teams to translate business initiatives into robust, customer‑focused systems. Your work will enable us to leverage foundational AI and machine learning models to enhance our services. You will be part of a diverse, inclusive, and geographically distributed team, focused on delivering secure and intelligent banking.

Job Responsibilities:

  • Deliver end-to-end cloud-native microservices and data pipelines using modern technologies and best practices
  • Structure software for clarity, testability, and ease of evolution
  • Build scalable solutions that avoid single points of failure
  • Develop secure code to protect customers and the organization
  • Investigate and resolve issues promptly to prevent recurrence
  • Ensure zero‑downtime releases for end‑users
  • Monitor model and system performance, identifying and solving problems effectively
  • Build reliable, easy‑to‑operate systems
  • Continuously update and upgrade technologies and patterns
  • Maintain and improve deployed AI/ML models and microservices throughout the software development lifecycle, including production and incident management
  • Ensure compliance and security in AI/ML solution deployment and operation

Required Qualifications, Capabilities, and Skills:

  • Formal training or certification on software engineering concepts and proficient advanced experience
  • Recent hands‑on experience as a back‑end software engineer, especially with customer‑facing, LLM‑powered microservices
  • Proficiency in Java and Python programming languages
  • Experience designing and implementing effective tests (unit, component, integration, end‑to‑end, performance)
  • Excellent written and verbal communication skills in English
  • Familiarity with advanced AI/ML concepts and protocols, such as Retrieval‑Augmented Generation, agentic system architectures, and Model Context Protocol
  • Strong interest in building generative AI applications and tooling
  • Experience with cloud technologies, distributed systems, RESTful APIs, and web technologies
  • Understanding of event‑based architecture, data streaming, and messaging frameworks
  • Proficiency in operating, supporting, and securing mission‑critical software applications
  • Understanding of various data stores (relational, non‑relational, vector)
  • Ability to mentor team members on coding practices, design principles, and implementation patterns
  • Ability to manage stakeholders and prioritize deliverables across multiple work streams

Preferred Qualifications, Capabilities, and Skills:

  • Background in STEM with exposure to productionising machine learning systems
  • Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Databricks, BentoML, Arize)
  • Proficiency in cloud‑native microservices architecture
  • Hands‑on experience with Amazon Web Services (AWS)
  • Previous experience as a Platform engineer
  • Experience working in highly regulated environments or industries

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.

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

Lead Software Engineer - MLOps in London employer: United States Digital Space LLC

At J.P. Morgan, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Lead Software Engineer in our International Consumer Bank MLOps team, you'll have access to cutting-edge technology and ample opportunities for career growth, all while contributing to the future of financial services. Our commitment to diversity and inclusion ensures that every voice is heard, making it a truly rewarding environment for passionate individuals looking to make a meaningful impact.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Software Engineer - MLOps in London

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Lead Software Engineer - MLOps in London

Cloud-native microservices
Data pipelines
Java programming
Python programming
AI/ML concepts
Unit testing
Integration 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 United States Digital Space LLC.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC 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 United States Digital Space LLC

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 United States Digital Space LLC 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.