Software Engineer III - Python, AI/ML, Data, Cloud
Software Engineer III - Python, AI/ML, Data, Cloud

Software Engineer III - Python, AI/ML, Data, Cloud

Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and deliver innovative software solutions in AI/ML and Cloud technologies.
  • Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
  • Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
  • Why this job: Make an impact by working on cutting-edge technology projects in a dynamic environment.
  • Qualifications: 5+ years of software engineering experience, preferably with Python and Cloud technologies.
  • Other info: Embrace a culture of diversity, inclusion, and continuous learning.

The predicted salary is between 36000 - 60000 ÂŁ per year.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Corporate and Investment Bank Markets Research Technology, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market‑leading technology products in a secure, stable, and scalable manner. Your responsibilities include implementing critical technology solutions across various technical domains to support the firm's business objectives. You will engage in challenging projects involving Cloud‑native data, backend engineering, and AI/ML engineering, contributing to the industrialization of AI/ML models at a production scale. This position is a hands‑on engineering role, where experience with data science or machine learning modeling is beneficial but not mandatory.

Job Responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Creates secure and high‑quality production code and maintains algorithms that run synchronously with appropriate systems.
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
  • Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps.
  • Designs and implements data engineering solutions, leveraging modern big data technologies.
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies.
  • Adds to team culture of diversity, opportunity, inclusion, and respect.
  • Embraces a passion for learning, problem‑solving, creative thinking and a can‑do attitude.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years proficient applied experience.
  • Hands‑on practical experience in system design, application development, testing, and operational stability.
  • Proficient in coding in one or more languages (Python preferably).
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
  • Overall knowledge of the Software Development Life Cycle.
  • Proven track record in system design, architecting and developing microservices, distributed systems and data‑intensive applications.
  • Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies.
  • Practical experience developing Production‑scale Cloud‑native data engineering solutions in commercial environments.
  • Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps.
  • Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds.

Preferred qualifications, capabilities, and skills

  • Experience with data, AWS and AIML engineering in commercial settings.
  • Experience working on Production scale AI/ML systems.
  • Practical experience with Kubernetes, EKS, Docker, Terraform, MLOps.
  • Prior exposure to LLMs, RAG, OpenSearch and vector databases.
  • Prior experience collaborating with data scientists.

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.

Software Engineer III - Python, AI/ML, Data, Cloud employer: JPMorganChase

At JPMorgan Chase, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Software Engineer III, you will have access to cutting-edge technology projects in a supportive environment that values diversity and inclusion, alongside ample opportunities for professional growth and development. Our commitment to employee well-being and a strong focus on learning ensures that you can thrive both personally and professionally in the heart of the financial services industry.
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Contact Detail:

JPMorganChase Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Software Engineer III - Python, AI/ML, Data, Cloud

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AI/ML, and Cloud technologies. 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 coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence before the big day.

✨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, it shows you’re genuinely interested in joining our team!

We think you need these skills to ace Software Engineer III - Python, AI/ML, Data, Cloud

Python
AI/ML Engineering
Cloud Services
Data Engineering
Backend Engineering
Microservices Architecture
Distributed Systems
Production-scale Development
Infrastructure as Code
Kubernetes
Docker
Terraform
ETL
MLOps
Communication Skills

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, AI/ML, and Cloud experience to show us you're the right fit for the Software Engineer III role.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about software engineering and how your background aligns with our needs. Share specific examples of your work in data engineering or AI/ML to grab our attention!

Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing practical applications of your skills, especially in cloud-native solutions or data-intensive applications.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at JPMorganChase

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Cloud services, and AI/ML. Brush up on your knowledge of big data technologies and be ready to discuss how you've used them in past projects.

✨Showcase Problem-Solving Skills

Prepare to discuss specific challenges you've faced in software engineering and how you approached solving them. Use examples that highlight your ability to think outside the box and implement innovative solutions.

✨Communicate Clearly

Practice explaining your design choices and technical decisions in a way that’s easy for non-technical stakeholders to understand. This will demonstrate your ability to collaborate effectively within an agile team.

✨Emphasise Continuous Learning

Express your passion for learning and staying updated with emerging technologies. Share any recent courses or certifications you've completed, especially those related to AI/ML or cloud engineering, to show your commitment to professional growth.

Software Engineer III - Python, AI/ML, Data, Cloud
JPMorganChase

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