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- Tasks: Explore and develop cutting-edge machine learning models to tackle real-world challenges.
- Company: Join JP Morgan Chase's elite AI team, driving innovation in technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a significant impact in cybersecurity and technology infrastructure with advanced AI solutions.
- Qualifications: Masters or PhD in relevant fields with hands-on machine learning experience.
- Other info: Collaborative environment with access to industry-leading resources and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
The Applied Innovation of AI (AI2) team is an elite machine learning group located within the Tech CDO at JP Morgan Chase. Strategically positioned in the Chief Technology Office, our work spans across Cybersecurity, Global Technology Infrastructure and the Software Development Lifecycle (SDLC). With this unparalleled access to technology groups in the firm, the role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.
As a Machine Learning Scientist, you will apply sophisticated machine learning methods to a wide variety of complex tasks including:
- Data mining and exploratory data analysis and visualization
- Text understanding and embedding
- Anomaly detection in time series and log data
- Large language models (LLMs) and generative AI for technology use-cases
- Reinforcement learning and recommendation systems
You must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. You must also have a passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. You must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.
Job Responsibilities
- Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation
- Develop state-of-the-art machine learning models to solve real-world problems and apply them to complex business-critical problems in Cybersecurity, Software and Technology Infrastructure
- Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production
- Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
- Contribute to reusable code and components that are shared internally and also externally
Required qualifications, capabilities and skills
- Masters in a related discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) with 2 years experience or PhD with 1 year of industry or research experience in the field.
- Hands-on experience and solid understanding of machine learning and deep learning methods
- Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Extensive experience with large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. LangChain, LangGraph, Vector databases, opensource Models, RAG, Agentic Systems & Workflows, LLM fine-tuning)
- Scientific thinking and the ability to invent
- Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Experience with big data and scalable model training
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
- Curious, hardworking and detail-oriented, and motivated by complex analytical problems
- Ability to work both independently and in highly collaborative team environments
Preferred qualifications, capabilities and skills
- Strong background in Mathematics and Statistics
- In-depth knowledge and proficiency in agentic frameworks like LangChain and LangGraph and related platforms like LangSmith.
- Familiarity with the financial services and related technologies and industries, including familiarity in networking and infrastructure platforms.
- Experience with A/B experimentation and data/metric-driven product development
- Experience with cloud-native deployment in a large scale distributed environment
- Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
- Ability to develop and debug production-quality code
- Familiarity with continuous integration models and unit test development
Applied AI and Machine Learning Scientist - Senior Associate in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI and Machine Learning Scientist - Senior Associate in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or conferences, 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 machine learning projects, especially those that align with the role. This could be anything from GitHub repos to blog posts explaining your thought process and results.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach complex problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Applied AI and Machine Learning Scientist - Senior Associate in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Machine Learning Scientist. Highlight your hands-on experience with machine learning and deep learning methods, and don’t forget to mention any relevant projects or research that align with the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for machine learning and how your skills can contribute to the team at JP Morgan Chase. Be specific about your experiences and how they relate to the responsibilities outlined in the job description.
Showcase Your Projects: If you’ve worked on any interesting projects, especially those involving large language models or anomaly detection, make sure to include them in your application. This will demonstrate your practical experience and problem-solving skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets the attention it deserves, and you’ll be one step closer to joining our innovative team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Stuff
Make sure you brush up on your machine learning and deep learning methods. Be ready to discuss your hands-on experience with tools like TensorFlow and PyTorch, as well as your familiarity with large language models. Prepare to explain how you've applied these technologies in real-world scenarios.
✨Show Your Passion
Demonstrate your enthusiasm for AI and machine learning during the interview. Share examples of independent projects or research you've undertaken, and talk about any industry conferences you've attended. This will show that you're not just qualified, but genuinely interested in the field.
✨Collaboration is Key
Since this role involves working closely with various teams, be prepared to discuss your collaborative experiences. Think of specific examples where you've successfully partnered with others to deploy solutions or tackle complex problems. Highlight your communication skills and how you bridge the gap between technical and business audiences.
✨Think Like a Scientist
Be ready to showcase your scientific thinking and problem-solving abilities. Prepare to discuss how you design experiments, evaluate model performance, and align your work with business goals. This will demonstrate your analytical mindset and ability to contribute to innovative solutions.
