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- Tasks: Lead the development of innovative machine learning solutions and mentor junior colleagues.
- Company: Join JPMorgan Chase's digital bank, revolutionising mobile banking in the UK.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on diversity and inclusion.
- Why this job: Make a real impact in fintech with cutting-edge technology and collaborative teams.
- Qualifications: Experience in machine learning, Python, SQL, and strong problem-solving skills.
The predicted salary is between 43200 - 72000 £ per year.
JOB DESCRIPTION
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 a Lead Machine Learning Scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver 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 design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages.
Our Machine Learning 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 spec customisation requirements:
- Job responsibilities:
- Lead the development and maintenance of machine learning models to solve complex business problems
- Develop the technical skills of junior colleagues through mentorship and training
- Collaborate with cross functional teams to identify opportunities for leveraging data to drive business solutions
- Analyse large, heterogenous datasets to extract actionable insights and inform decision-making
- Stay updated with the latest advancements in machine learning and especially Large Language Models and agentic systems
- Identify the right state of the art solutions for the bank\’s objectives and manage colleagues to implement them as clean, production-ready code
- Communicate findings and recommendations through clear and concise reports and presentations
- Required qualifications, capabilities and skills
- Experience leading teams to deliver production machine learning solutions
- Proficiency in Python and SQL and familiarity with good software engineering practices
- Excellent written and verbal communication
- Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn
- Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus
- Collaborative, humble and enthusiastic attitude
- Preferred qualifications, capabilities and skills
- Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc
- Experience in deep neural networks and familiarity with the latest developments in related fields
- Experience in LLM model finetuning and continuous learning techniques
- Experience in prompt engineering techniques and state-of-the-art LLM architectures
ICBCareers #ICBEngineering
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
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.
ML Scientist- VP employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Scientist- VP
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at JPMorgan Chase. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your machine learning projects. This gives you a chance to demonstrate your expertise beyond just words.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by solving coding challenges and discussing your thought process. It’s all about showing how you think and solve problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of our innovative team.
We think you need these skills to ace ML Scientist- VP
Some tips for your application 🫡
Show Your Passion for Machine Learning: When writing your application, let your enthusiasm for machine learning shine through! Share specific projects or experiences that highlight your curiosity and how you've tackled complex problems in the past. We love seeing candidates who are genuinely excited about the field.
Tailor Your Application: Make sure to customise your CV and cover letter to reflect the skills and experiences mentioned in the job description. Highlight your proficiency in Python, SQL, and any relevant frameworks like TensorFlow or PyTorch. This shows us you’ve done your homework and understand what we’re looking for.
Be Clear and Concise: In your written application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate well-structured applications that communicate your ideas effectively, so make sure your points are easy to follow.
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’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning frameworks like TensorFlow and PyTorch. Brush up on your Python and SQL skills, as these will be crucial for the role. Being able to discuss your technical expertise confidently will show that you're ready to lead and innovate.
✨Showcase Your Collaborative Spirit
Since the role involves working in squads and tribes, highlight your experience in collaborative environments. Share examples of how you've worked with cross-functional teams to solve complex problems. This will demonstrate that you can thrive in their flat-structure organisation.
✨Prepare for Real-World Scenarios
Expect to discuss real-world applications of machine learning. Think about specific projects where you’ve developed production-ready solutions. Be ready to explain your thought process and the impact your work had on the business, as this aligns with their focus on delivering value.
✨Stay Updated and Curious
The field of machine learning is always evolving, so show your passion for continuous learning. Mention any recent advancements you’ve followed, especially in Large Language Models and agentic systems. This will reflect your curious mindset and commitment to staying at the forefront of technology.