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- Tasks: Join a team of AI experts to innovate and optimise business decisions using cutting-edge technology.
- Company: JPMorgan Commercial & Investment Bank, a leader in financial services and technology.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Why this job: Make a real impact by applying AI to transform the financial industry.
- Qualifications: Masters or PhD in a quantitative field with strong ML and statistics knowledge.
- Other info: Dynamic role with opportunities for management responsibilities and collaboration across teams.
The predicted salary is between 36000 - 60000 £ per year.
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.
Job 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.
Applied AI ML - Senior Associate - Machine Learning Engineer employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI ML - Senior Associate - Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and ML. This is your chance to demonstrate your expertise and passion for the field, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies alike.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Applied AI ML - Senior Associate - Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in AI, ML, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about applied AI and how your background makes you a perfect fit for this role. Let us know what excites you about working with our team at StudySmarter.
Showcase Your Projects: If you've worked on any interesting AI or ML projects, make sure to mention them! Whether it's a personal project or something from your studies, we love seeing practical applications of your skills. Include links if possible!
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 don’t miss out on any important updates. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of machine learning theories and techniques, especially in NLP and deep learning architectures. Be ready to discuss specific projects where you've applied these concepts, as this will show your practical experience.
✨Showcase Your Collaboration Skills
Since this role involves working closely with software engineering and cloud teams, prepare examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve designed or deployed ML services, as teamwork is key in this position.
✨Communicate Clearly
You’ll need to convey complex technical information to both technical and non-technical audiences. Practice explaining your past projects in simple terms, focusing on the impact and results rather than just the technical details.
✨Demonstrate Your Problem-Solving Skills
Be prepared to discuss how you've tackled challenges in your previous roles, particularly in monitoring and enhancing existing models. Think of specific examples where your analytical skills made a difference, as this will showcase your ability to drive innovation.
