Applied AIML Engineer-LLM and Agentic in Glasgow
Applied AIML Engineer-LLM and Agentic

Applied AIML Engineer-LLM and Agentic in Glasgow

Glasgow Full-Time 36000 - 60000 £ / year (est.) No home office possible
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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 36000 - 60000 £ 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 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: JPMorganChase

At J.P. Morgan, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within our Corporate Oversight and Governance Technology team. As an Applied AIML Engineer, you will not only have the opportunity to work with cutting-edge technologies but also benefit from extensive professional development programs and a commitment to diversity and inclusion, ensuring that every voice is heard and valued. Join us in a dynamic environment where your contributions directly impact global business success and where your career can flourish.
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Contact Detail:

JPMorganChase 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 showcasing your projects, especially those involving AI/ML. This is your chance to demonstrate your expertise in Python, TensorFlow, and other tools that are hot in the market.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies.

✨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 awesome team!

We think you need these skills to ace Applied AIML Engineer-LLM and Agentic in Glasgow

Python
PySpark
TensorFlow
MLOps
Machine Learning Frameworks
Cloud Computing Platforms
Containerization Technologies
Microservices Design
Statistical Analysis
Generative Model Architectures
NLP Applications
Collaboration Skills
OpenAI API Integration
Retrieval-Augmented Generation (RAG)
Prompt Engineering

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Python, ML frameworks, and any relevant projects. We want to see how your skills align with the role of Applied AIML Engineer!

Showcase Your Projects: If you've worked on any cool AI/ML projects, don’t hold back! Include links to your portfolio or GitHub. We love seeing practical applications of your skills, especially in NLP and generative models.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experience and how it relates to the job. We appreciate a well-structured application that gets straight to the point!

Apply Through Our Website: Don’t forget to submit your application through our official website. It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!

How to prepare for a job interview at JPMorganChase

✨Know Your Tech Inside Out

Make sure you brush up on your Python, PySpark, and any deep learning frameworks like TensorFlow. Be ready to discuss specific projects where you've applied these skills, especially in building ML services or pipelines.

✨Showcase Your Problem-Solving Skills

Prepare to talk about how you've tackled challenges in AI/ML projects. Think of examples where you optimised models or improved performance in NLP applications. This will demonstrate your ability to think critically and adapt.

✨Communicate Clearly

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 past work, so make sure you can convey your ideas effectively.

✨Stay Updated on Trends

Familiarise yourself with the latest advancements in AI/ML, especially around generative models and techniques like Retrieval-Augmented Generation. Showing that you're proactive about learning will impress your interviewers.

Applied AIML Engineer-LLM and Agentic in Glasgow
JPMorganChase
Location: Glasgow
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  • Applied AIML Engineer-LLM and Agentic in Glasgow

    Glasgow
    Full-Time
    36000 - 60000 £ / year (est.)
  • J

    JPMorganChase

    10000+
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