AI/ML Lead Engineer — GenAI for Enterprise NLP

JPMorgan Chase & Co.

Glasgow

Sur place

GBP 90 000 - 130 000

Plein temps

Il y a 2 jours
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Résumé du poste

JPMorgan Chase & Co. in Glasgow seeks a Lead Software Engineer specializing in Applied AI/ML to design and deliver trusted AI products within Governance & Controls Technology AI/ML. You will craft secure, scalable ML solutions and guide a team across multiple domains.

You will deploy models, optimize NLP tasks, monitor performance in real-time, and communicate results to technical and non-technical stakeholders. This role emphasizes collaboration and staying ahead in AI research.

Qualifications

  • Experience deploying production ML models in scalable systems.
  • Proficiency in Python and OpenAI API for model development.
  • Familiarity with ML frameworks and cloud platforms.
  • Strong collaboration across cross-functional teams and stakeholders.
  • Portfolio of generative NLP projects using OpenAI APIs.

Responsabilités

  • Collaborate with product managers, data scientists, ML engineers and stakeholders to prioritize use cases.
  • Design, develop, and deploy state-of-the-art AI/ML/GenAI solutions aligning with business goals.
  • Mentor and guide a team of ML and MLOps engineers.
  • Build and maintain automated pipelines for model deployment ensuring scalability and reliability.
  • Fine-tune generative models for NLP use cases to deliver high-quality outputs.

Connaissances

Python
Applied AI/ML
NLP / GenAI
MLOps / CI/CD
Communication

Formation

Bachelor's or Master's in CS/Engineering

Outils

OpenAI API
TensorFlow
PyTorch
Docker
Kubernetes
Cloud (AWS/Azure/GCP)

Description du poste

JPMorgan Chase & Co. in Glasgow seeks a Lead Software Engineer specializing in Applied AI/ML to design and deliver trusted AI products within Governance & Controls Technology AI/ML. You will craft secure, scalable ML solutions and guide a team across multiple domains.

You will deploy models, optimize NLP tasks, monitor performance in real-time, and communicate results to technical and non-technical stakeholders. This role emphasizes collaboration and staying ahead in AI research.

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