At a Glance
- Tasks: Lead AI/ML projects, transforming business challenges into innovative solutions.
- Company: Join JPMorgan Chase, a global leader in finance and technology.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on diversity and inclusion.
- Why this job: Make a real impact with cutting-edge AI technologies in a dynamic environment.
- Qualifications: Expertise in Python, AI tools, and machine learning model deployment required.
The predicted salary is between 100000 - 150000 £ per year.
We're looking for a hands-on AI engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies.
As an Applied AI ML Lead - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading AI products in a secure, stable, and scalable way. You will translate business problems into agentic AI and machine learning solutions, taking models from concept through to production-grade services with measurable client and advisor impact.
You will be responsible to the Head of AIML in IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys.
Job responsibilities:- Owns end-to-end delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact.
- Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across the globe.
- Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers.
- Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm-wide standards.
- Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams.
- Represents the AIML team in firm-wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data-privacy considerations are reflected in solution design.
- Contributes to the team's GenAI education programme through training content, knowledge-sharing sessions, and mentoring of junior engineers and interns.
- Champions the firm's culture of diversity, opportunity, inclusion, and respect.
- Formal training or certification in software engineering concepts and expert applied experience.
- Advanced proficiency in Python and modern software engineering practices (testing, design patterns, code review, version control).
- Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day-to-day software development, with the judgement to know when to lean on them and when not to.
- Hands-on experience building, evaluating, and deploying machine learning models into production.
- Practical experience with Large Language Models, including prompt engineering, RAG, fine-tuning, agentic frameworks, skills.
- Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data-intensive systems.
- Strong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non-technical audiences.
- Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines.
- MSc in Computer Science, Data Science, Engineering, or a related quantitative field.
- Postgraduate-level qualification in data science, artificial intelligence, or machine learning.
- Practical experience with CI/CD, containerization, and cloud-native deployment patterns.
- Experience within financial services technology, particularly wealth, private banking, or asset management.
- Experience with Databricks, Kubernetes, or comparable ML/cloud platforms.
- Experience designing or contributing to AI governance, model validation, or guardrail frameworks.
Applied AI ML Lead- Agentic AI & Python in Glasgow employer: JPMorganChase
At JPMorgan Chase, we pride ourselves on being a leading employer in the financial services sector, offering unparalleled opportunities for growth and innovation in the field of AI and machine learning. Our collaborative work culture fosters diversity and inclusion, empowering employees to take ownership of impactful projects while benefiting from continuous learning and mentorship. Located in a dynamic environment, our team is at the forefront of developing cutting-edge AI solutions that drive real-world results for clients and advisors globally.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Lead- Agentic AI & Python in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at JPMorgan Chase. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI and ML projects. This is your chance to demonstrate your hands-on experience with Python and machine learning models, making you stand out in interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and AI concepts. Practice common interview questions related to agentic AI and LLMs, so you're ready to impress when it counts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Applied AI ML Lead- Agentic AI & Python in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the job description. Highlight your experience with Python, AI, and ML, and don’t forget to showcase any hands-on projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for the Applied AI ML Lead role. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've got any relevant projects or contributions to open-source, make sure to include them in your application. We’re keen to see your practical experience with machine learning models and how you've tackled real-world problems using AI.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at JPMorganChase
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of agentic AI and machine learning concepts. Be ready to discuss how you've applied these in real-world scenarios, especially in building and deploying models. This will show that you can translate complex problems into practical solutions.
✨Showcase Your Python Skills
Since advanced proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your experience with modern software engineering practices. Bring examples of your work that highlight your coding style and problem-solving abilities.
✨Engage with Business Stakeholders
Be prepared to talk about how you've communicated technical concepts to non-technical audiences. Think of specific instances where you’ve successfully engaged with business stakeholders to surface new AI/ML opportunities. This will illustrate your ability to bridge the gap between tech and business.
✨Emphasise Team Collaboration
Highlight your experience working in agile teams and how you've contributed to team dynamics. Discuss your role in code reviews, mentoring junior engineers, and establishing quality standards. This shows that you value collaboration and are committed to fostering a positive team culture.
