Lead AI/ML Platform Engineer — Python & Scalable Systems

Lead AI/ML Platform Engineer — Python & Scalable Systems

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
JPMorganChase

At a Glance

  • Tasks: Lead the development of AI/ML platforms and create innovative applications.
  • Company: Join JPMorgan Chase, a leader in technology and finance.
  • Benefits: Competitive salary, diverse culture, and opportunities for growth.
  • Other info: Be part of a diverse team that values inclusion and innovation.
  • Why this job: Make a real impact by pushing the boundaries of AI technology.
  • Qualifications: Experience in software engineering, Python, and scalable systems.

The predicted salary is between 80000 - 100000 £ per year.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platforms business, you are an integral part of a 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. In this context, your primary clients will be AI Research (AIR) and the Machine Learning Centre of Excellence (MLCoE).

Job Responsibilities

  • Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, and highly optimised production‑grade apps.
  • Develops and writes software applications for AI/ML platforms as well as building generative AI based applications including agents.
  • Utilises creative problem‑solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges.
  • Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems.
  • Leads evaluation sessions (cross‑team) to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies.
  • Mentors engineers within the team and drives practice across junior engineers in the team, as well as researchers/data scientists as they prototype solutions.
  • Adds to team culture of diversity, opportunity, inclusion, and respect.

Required Qualifications, Capabilities, And Skills

  • Formal training or certification on software engineering concepts with applied full‑stack development experience.
  • Practical experience in Infrastructure as Code development, ideally using Terraform.
  • Hands‑on practical experience in system design, application development, testing, and ensuring operational stability.
  • Advanced proficiency in one or more programming languages, with a strong focus on Python.
  • Expertise in automation and continuous integration, delivery, and testing (CI/CD/CT) methods.
  • Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC).
  • Deep understanding of agile methodologies and basic proficiency in architectural frameworks.
  • Demonstrated proficiency in platform development and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).

Preferred Qualifications, Capabilities, And Skills

  • Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks.
  • Self‑motivated and proactive, with a strong ability to identify issues and challenge the status quo.
  • Demonstrates initiative in learning and adapting to new technologies and methodologies.
  • Experience in/exposure to a major business‑facing integrated application environment (e.g. risk, trading) and working with business‑facing developers.
  • Proven problem‑solving skills with a focus on innovation and continuous improvement.
  • Excellent communication and collaboration skills to work effectively within cross‑functional teams.

We recognise 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, colour, 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.

Lead AI/ML Platform Engineer — Python & Scalable Systems employer: JPMorganChase

At JPMorgan Chase, we pride ourselves on being an exceptional employer that fosters a culture of innovation, collaboration, and inclusivity. As a Lead AI/ML Platform Engineer, you will have the opportunity to work with cutting-edge technology in a dynamic environment that encourages professional growth and development. Our commitment to diversity and employee well-being, combined with our focus on impactful projects, makes us a rewarding place to advance your career.

JPMorganChase

Contact Details:

JPMorganChase Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead AI/ML Platform Engineer — Python & Scalable Systems

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML. This gives potential employers a taste of what you can do beyond your CV.

Tip Number 3

Prepare for interviews by practising common technical questions and scenarios. We recommend doing mock interviews with friends or using online platforms to boost your confidence.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace Lead AI/ML Platform Engineer — Python & Scalable Systems

Python
Full-Stack Development
Infrastructure as Code (Terraform)
System Design
Application Development
Testing
Operational Stability

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python expertise and any experience with AI/ML platforms, as this will catch our eye!

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI/ML and how your background makes you a great fit for the role. Share specific examples of your work that align with our needs.

Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—demonstrate them! Share instances where you've tackled complex challenges or innovated solutions in your previous roles.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!

How to prepare for a job interview at JPMorganChase

Know Your Tech Inside Out

Make sure you brush up on your Python skills and any relevant AI/ML tools. Be ready to discuss your experience with Infrastructure as Code, especially Terraform, and how you've applied these in real-world scenarios.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex technical challenges in the past. Think about times when you innovated or streamlined processes, and be ready to explain your thought process during those situations.

Understand Agile Methodologies

Familiarise yourself with agile practices and be prepared to discuss how you've implemented them in your previous roles. Highlight your experience in cross-functional teams and how you’ve contributed to successful project outcomes.

Emphasise Collaboration and Mentorship

Since this role involves mentoring others, think of instances where you've guided junior engineers or collaborated with data scientists. Be ready to share how you fostered a culture of inclusion and respect within your team.