At a Glance
- Tasks: Lead a team to develop and implement AI/ML solutions in banking operations.
- Company: Join JPMorganChase, a leader in innovative banking technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and continuous learning.
- Why this job: Shape the future of banking with cutting-edge AI and make a real impact.
- Qualifications: MSc or PhD in relevant fields and experience in AI application deployment.
The predicted salary is between 80000 - 100000 £ per year.
Are you ready to shape the future of banking with cutting‑edge AI and machine learning? At JPMorganChase, you’ll lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey as you deliver transformative solutions. Collaborate with industry leaders and advance your career in a dynamic, inclusive environment.
As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. You will lead a team of scientists and engineers, partner with business stakeholders and technology leaders, and ensure the successful implementation and scaling of AI‑driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning.
Job Responsibilities
- Lead the development, implementation, and end‑to‑end delivery of advanced machine learning models and algorithms to drive market operations initiatives.
- Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs.
- Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment.
- Ensure production‑grade AI/ML applications and tools are built, maintained, and optimized.
- Establish best practices for designing robust architectures, evaluation, monitoring, governance, and deployment.
- Champion documentation of methodologies, results, and best practices for knowledge sharing.
- Achieve design and delivery alignment across partnering teams to ensure execution velocity and clarity in prioritizing development prerequisites.
- Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs.
- Collaborate closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML.
Required Qualifications, Capabilities, and Skills
- MSc or PhD in Computer Science, Data Science, Machine Learning, or related field.
- Proven experience building and deploying AI applications in large‑scale production environments.
- Experience with MLOps practices and tools for managing the machine learning lifecycle.
- Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit‑learn.
- Strong understanding of data preprocessing, feature engineering, and evaluation techniques.
- Experience working with large, complex datasets and applying statistical analysis.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
- Experience managing data science teams and coaching team members.
- Problem‑solving skills and ability to work independently and as a leader within cross‑functional teams.
- Strong communication skills for both technical and non‑technical audiences.
Preferred Qualifications, Capabilities, and Skills
- Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites.
- Hands‑on experience with agentic frameworks (LangChain, LangGraph).
- Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration.
- Demonstrated experience in financial services, particularly investment banking operations.
Equal Opportunity Employer
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.
Applied AI & ML Lead â Markets Operations employer: 慨正橡扯
At JPMorganChase, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work environment where innovation thrives. As an Applied AI & ML Lead in Market Operations, you will not only lead a talented team but also have access to unparalleled growth opportunities, mentorship, and collaboration with industry leaders. Our commitment to diversity and continuous learning ensures that every employee can make a meaningful impact while advancing their career in the fast-evolving world of banking technology.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI & ML Lead â Markets Operations
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI/ML. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Applied AI & ML Lead â Markets Operations
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI and ML, especially in market operations. We want to see how your skills align with the job description, so don’t hold back on showcasing your relevant projects!
Showcase Your Leadership Skills:As a lead, your ability to mentor and guide a team is crucial. Share examples of how you've successfully led teams or projects in the past. We love seeing candidates who can inspire collaboration and drive results!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and experiences. We appreciate clarity, and it helps us understand your qualifications better!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at 慨正橡扯
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and machine learning frameworks like PyTorch and TensorFlow. Be ready to discuss your experience with building and deploying AI applications, especially in large-scale environments. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Your Leadership Skills
As a lead, you'll need to demonstrate your ability to mentor and guide a team. Prepare examples of how you've supported team members in their growth and how you've fostered a collaborative environment. Highlight any experience you have in managing data science teams and driving projects to success.
✨Understand the Business Impact
Be ready to discuss how your AI/ML solutions can drive measurable impact in market operations. Think about specific examples where your work has led to significant improvements or efficiencies. This will help interviewers see that you understand the bigger picture and can align technical solutions with business needs.
✨Prepare for Technical Questions
Expect to face technical questions related to MLOps practices, data preprocessing, and feature engineering. Brush up on your problem-solving skills and be prepared to tackle hypothetical scenarios. Practising coding challenges or discussing past projects can help you feel more confident during this part of the interview.
