At a Glance
- Tasks: Lead innovative AI/ML projects and mentor a dynamic team of engineers.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact by transforming business analytics with cutting-edge technology.
- Qualifications: Experience in ML engineering, Python proficiency, and AWS deployment skills.
- Other info: Collaborative environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer, within Client Onboarding Technology at JPMorganChase, you will lead a specialized technical area, driving impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of software engineering, multi-agent system design and leadership to spearhead the delivery of complex and groundbreaking initiatives that will transform Business analytics.
You will be responsible for hands-on development, and mentoring a team of Software Engineers, focusing on best practices in ML engineering and Agentic Analytics, with the goal of elevating team performance to produce high-quality, scalable systems. You will also engage and partner with data science, product and business teams to deliver end-to-end solutions that will drive value for the Client Onboarding business.
Responsibilities
- Lead the deployment and scaling of advanced generative AI, Agentic AI and classical ML solutions.
- Develop multi-agent systems that provide capabilities for orchestration, agent-to-agent communication, memory, telemetry, guardrails, etc.
- Conduct and guide research on context and prompt engineering techniques to improve the performance of prompt-based models, exploring and utilizing Agentic AI libraries like JPMC's SmartSDK and LangGraph.
- Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring and optimization to ensure high reliability at enterprise scale.
- Build and maintain data pipelines and data processing workflows for scalable and efficient consumption of data.
- Develop secure, high-quality production code, and provide code reviews.
- Foster productive partnership with Data Science, Product and Business teams to identify requirements and develop solutions to meet business needs.
- Communicate effectively with both technical and non-technical stakeholders, including senior leadership.
- Provide technical leadership, mentorship and guidance to junior engineers, promoting a culture of excellence, continuous learning, and professional growth.
Required qualifications, capabilities and skills
- Bachelor's degree or Master's in Computer Science, Engineering, Data Science, or related field.
- Applied experience in Machine Learning Engineering.
- Strong proficiency in Python and experience deploying end-to-end pipelines on AWS.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Hands-on experience using LangGraph or JPMC's SmartSDK for multi-agent orchestration.
- Experience with AWS and Infrastructure-as-code tools like Terraform.
Preferred Qualifications
- Strategic thinker with the ability to drive technical vision for business impact.
- Demonstrated leadership working effectively with engineers, data scientists, and ML practitioners.
- Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines.
- Experience with Agentic telemetry and evaluation services.
- Demonstrated hands-on experience building and maintaining user interfaces.
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.
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.
AI/ML Lead Software Engineer in Glasgow employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Lead Software Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI/ML. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practicing common technical questions and scenarios. Use mock interviews with friends or online platforms to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace AI/ML Lead Software Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI/ML Lead Software Engineer role. Highlight your hands-on experience in ML engineering and any leadership roles you've had, as we want to see how you can drive impact across teams.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and ML, and how your background makes you the perfect fit for this position. Don’t forget to mention your experience with multi-agent systems and AWS!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to include them. We love seeing practical applications of your skills, especially in areas like generative AI and agent orchestration.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team at J.P. Morgan!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI, ML, and multi-agent systems. Be ready to discuss your hands-on experience with Python, AWS, and tools like LangGraph or SmartSDK. The more specific examples you can provide about your past projects, the better!
✨Showcase Your Leadership Skills
As a Lead Software Engineer, you'll need to demonstrate your ability to mentor and guide others. Prepare to share instances where you've led a team or influenced project outcomes. Highlight how you foster a culture of excellence and continuous learning.
✨Communicate Clearly with Everyone
You'll be working with both technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. Think about how you can convey your ideas effectively to different audiences, including senior leadership.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that test your problem-solving skills. Think through potential challenges you might encounter in deploying AI solutions and how you'd address them. This is your chance to showcase your strategic thinking and technical vision!