Applied AI ML - Senior Associate - Machine Learning Engineer

JPMorgan Chase & Co.
City of London
18 hours ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist Research Engineer

Senior Data Scientist Research Engineer

Senior Data Scientist Research Engineer

Senior Data Scientist (Applied AI)

Machine Learning Engineer (Applied AI) (100% Remote in EMEA)

Machine Learning Engineer (Applied AI) (100% Remote in EMEA)

Overview

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank.

As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI-powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets.

Responsibilities
  • Build robust Data Science capabilities which can be scaled across multiple business use cases
  • Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems
  • Research and analyse data sets using a variety of statistical and machine learning techniques
  • Communicate AI capabilities and results to both technical and non-technical audiences
  • Document approaches taken, techniques used and processes followed to comply with industry regulation
  • Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions.
  • Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience.
Required qualifications, capabilities, and skills
  • Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics
  • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)
  • Specialism or well-researched interest in NLP
  • Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc.
  • Experience monitoring, maintaining, enhancing existing models over an extended time period
  • Extensive experience with pytorch and related data science python libraries (e.g. pandas)
  • Experience of containerising applications or models for deployment (Docker)
  • Experience with one of the major public cloud providers (Azure, AWS, GCP)
  • Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.
Preferred qualifications, capabilities, and skills
  • Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)
  • Experience of big data technologies
  • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints
  • Experience with container orchestration tools (e.g. Kubernetes, Helm)
  • Knowledge of open source datasets and benchmarks in NLP
  • Hands-on experience in implementing distributed/multi-threaded/scalable applications
  • Track record of developing, deploying business critical machine learning models
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. Visit our FAQs for more information about requesting an accommodation.

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.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.