At a Glance
- Tasks: Build cutting-edge AI/ML solutions and collaborate with a dynamic team.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse culture, and opportunities for growth.
- Why this job: Make a real impact on global business with innovative technology.
- Qualifications: Degree in Computer Science or related field; experience in AI/ML engineering.
- Other info: Work in a supportive environment that values diversity and inclusion.
The predicted salary is between 30000 - 50000 £ per year.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. Are you looking for an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging area? This is a unique opportunity to apply your skills and have a direct impact on global business. You will be building production-grade ML services, developing end-to-end ML pipelines, and collaborating to develop large-scale data modeling experiments. Your expertise in Python, PySpark, DL frameworks like TensorFlow, and MLOps will be crucial in this role.
As an Applied AIML Engineer at JPMorgan Chase within the Corporate Oversight and Governance Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities:
- Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements.
- Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
- Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
- Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation.
- Conduct thorough evaluations of generative models (e.g., GPT-5), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications.
- Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
- Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
- Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
Required qualifications, capabilities, and skills:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience in applied AI/ML engineering, with a track record of developing and deploying business-critical machine learning models in production.
- Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
- Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
- Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
- Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs.
- Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.
- Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
Preferred qualifications, capabilities, and skills:
- Familiarity with the financial services industries.
- Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
- Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
- A portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineering.
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.
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.
Applied AIML Engineer-LLM and Agentic in Glasgow employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AIML Engineer-LLM and Agentic in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, 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 that highlights your best projects, especially those involving AI/ML. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI/ML. Mock interviews with friends or mentors can help you feel more confident and ready to impress.
✨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 Applied AIML Engineer-LLM and Agentic in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Applied AIML Engineer role. Highlight your experience with Python, TensorFlow, and any relevant ML projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include a portfolio or examples of your work, especially if you've developed AI/ML solutions or used OpenAI APIs. This gives us a clear picture of your capabilities and how you can contribute to our team.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're excited about this role and how your background fits. Be sure to mention your collaborative experiences and any specific achievements in AI/ML that stand out.
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’s super easy!
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 Python, TensorFlow, and MLOps. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled AI/ML challenges in the past. Think of examples where you optimised models or improved performance in NLP applications. This will demonstrate your ability to think critically and adapt to new situations.
✨Communicate Clearly with Everyone
Since you'll be working with both technical and non-technical teams, practice explaining complex concepts in simple terms. You might be asked to present your ideas or findings, so being able to communicate effectively is key.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in AI/ML, especially in generative models. Being able to discuss recent trends or breakthroughs can show your passion for the field and your commitment to continuous learning.