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JPMorgan Chase & Co.

Applied AI ML Engineer - Associate

London
Posted 1 day ago
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About the Role

We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionise mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channelling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact.

As an Applied AI/ML Engineer - Associate at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to contribute to the delivery of end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the delivery and implementation of those solutions.

Our Applied AI/ML team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.

Job Responsibilities

  • Deliver AI/ML applications and services that improve customer experiences and increase operational efficiency.
  • Work across the AI/ML delivery lifecycle: stakeholder requirements, solution design, prototyping, evaluation, deployment support, monitoring, and iteration.
  • Develop Python-based AI/ML solutions on AWS/GCP, contributing production-ready code as part of a delivery team.
  • Build and evaluate AI/LLM solutions, including prompt/RAG patterns and agentic workflows, alongside classical ML where appropriate.
  • Apply ML techniques to forecasting, segmentation/CLV, causal inference, and other business problems.
  • Analyse large, heterogeneous datasets using SQL to generate insights, validate assumptions, and track impact.
  • Collaborate with stakeholders (e.g., product owners, operations management, marketing/acquisition) and cross-functional delivery teams.
  • Produce clear documentation, reports, and presentations for technical and non-technical audiences.
  • Support required governance activities, including model/data-use documentation and technical input to risk, privacy, and controls assessments.

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

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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

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Required Qualifications, Capabilities, and Skills

  • Familiarity with AI/LLM development patterns and frameworks, including prompt engineering, RAG, LangChain/LangGraph and/or Google ADK.
  • Strong Python and SQL; able to write clean, production-ready code.
  • Strong AI/ML fundamentals, including statistics, probability, linear algebra, and model evaluation.
  • Experience with scikit-learn and either PyTorch or TensorFlow.
  • Practical DevOps mindset: testing, CI/CD, reproducibility, code quality, and operational awareness.
  • Excellent written and verbal communication; able to explain technical trade-offs clearly.
  • Collaborative, curious, and comfortable working with ambiguity.

Preferred Qualifications, Capabilities, and Skills

  • Experience delivering AI/ML solutions in a regulated financial organisation.
  • Cloud experience on AWS and/or GCP, with AWS preferred.
  • Experience with tools such as S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery, GCS, Cloud Run, or Pub/Sub.
  • Experience with AI/ML observability and evaluation tools such as MLflow, LangSmith, LLM-as-a-Judge, guardrails, or production monitoring.
  • Exposure to fine-tuning or continuous learning techniques, such as PEFT/LoRA.

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About J.P. Morgan

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. Visit our FAQs for more information about requesting an accommodation.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

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Location

Canary Wharf Estate, London E14 4QJ, UK

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