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Sundayy

Software Engineer - AI/ML

England
Posted about 17 hours ago
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About The Company

JPMorgan Chase is a leading global financial services firm with a rich history of innovation and excellence. Renowned for its commitment to delivering exceptional financial solutions, JPMorgan Chase operates across a broad spectrum of banking, investment, and asset management services. The organization prides itself on fostering a culture of diversity, inclusion, and continuous learning, empowering its employees to push boundaries and achieve their full potential. With a strong emphasis on technological advancement, JPMorgan Chase invests heavily in cutting-edge innovations to maintain its position at the forefront of the financial industry.

About The Role

We have an exciting opportunity for a Lead Software Engineer within the AI/ML Data Platforms business at JPMorgan Chase. In this role, you will be a vital contributor to a team dedicated to developing, enhancing, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will work closely with Data Scientists and AI Researchers to transform experimental AI/ML solutions into robust, production-grade applications, including Generative AI-based systems such as Agents. Your expertise will help streamline operations, improve code quality, and foster innovation through the adoption of AI-assisted engineering practices. As a leader, you will mentor junior engineers and promote a culture of diversity, opportunity, and inclusion, ensuring the team remains at the cutting edge of technology advancements.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Qualifications

  • Formal training or certification in software engineering concepts
  • Applied full-stack development experience
  • Practical experience in Infrastructure as Code development, preferably using Terraform
  • Hands-on experience in system design, application development, testing, and operational stability
  • Advanced proficiency in programming languages, with a strong focus on Python
  • Expertise in automation, continuous integration, delivery, and testing (CI/CD/CT) methodologies
  • Experience leading the effective use of AI-assisted software development tools
  • Knowledge of responsible AI practices, including data sensitivity, secure handling, and compliance standards
  • Comprehensive understanding of SDLC and MDLC
  • Familiarity with agile methodologies and architectural frameworks
  • Proficiency in platform development within cloud, AI, or machine learning disciplines

Responsibilities

  • Collaborate with Data Scientists and AI Researchers to develop scalable, optimized production applications from experimental models
  • Design, develop, and implement AI/ML software applications, including Generative AI systems like Agents
  • Apply creative problem-solving techniques to troubleshoot and resolve complex technical challenges
  • Identify opportunities to automate and streamline recurring issues, enhancing operational efficiency
  • Lead cross-team evaluation sessions to assess architectural designs and technical credentials for integration
  • Drive team adoption of enterprise-approved AI-assisted engineering practices to improve code quality and delivery speed
  • Establish and promote standards for secure coding, peer reviews, and automated testing
  • Utilize SDLC tools and AI-assisted development capabilities to maximize automation and efficiency
  • Lead communities of practice to promote awareness and adoption of emerging technologies
  • Mentor engineers, researchers, and data scientists, fostering a culture of continuous learning and innovation
  • Contribute to a team environment that values diversity, inclusion, and mutual respect

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Benefits

  • Competitive salary and performance-based incentives
  • Comprehensive health, dental, and vision insurance plans
  • Retirement savings plans with company matching contributions
  • Opportunities for professional development and continuous learning
  • Flexible work arrangements and work-life balance initiatives
  • Inclusive and collaborative work environment fostering innovation

Equal Opportunity

JPMorgan Chase is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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Skills

Software Engineering
Full-Stack Development
Infrastructure as Code
Terraform
System Design
Application Development
Testing
Operational Stability
Python
Automation
CI/CD
AI-Assisted Development
Responsible AI Practices
Agile Methodologies
Cloud Development
Machine Learning

Location

England, United Kingdom

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