Senior AI/ML Engineer | Lead Innovative AI Solutions

Welocity

Glasgow, Cambridge

Vor Ort

GBP 90.000 - 125.000

Vollzeit

vor 43 Stunden
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Zusammenfassung

Welocity is seeking a Senior AIML Engineer in the UK (Glasgow or Cambridge) to advance its AI/ML capabilities and drive practical, scalable solutions across the business. You will lead the development and deployment of cutting-edge models, collaborating with cross-functional teams to ensure alignment with strategic goals and operational needs.

You will mentor junior engineers, shape AI initiatives, and ensure robust cloud-based deployments on AWS/Azure/Google Cloud.

Qualifikationen

  • Extensive experience with AI/ML frameworks and model deployment.
  • Proven track record leading AI projects in business environments.
  • Strong programming skills in Python, R, or Java; able to mentor juniors.

Aufgaben

  • Develop and deploy advanced AI and ML models to improve operational efficiency and effectiveness.
  • Lead design and implementation of AI solutions aligned with business goals and industry standards.
  • Collaborate with cross-functional teams to integrate AI technologies into existing systems and processes.
  • Conduct research and stay updated with latest AI/ML advancements to incorporate cutting-edge techniques.
  • Oversee data collection and preprocessing to ensure high-quality training data.
  • Provide technical leadership and mentorship to junior engineers.

Kenntnisse

Python
TensorFlow/PyTorch
Cloud deployment
Cross-functional collaboration
Mentorship
Java
R

Ausbildung

Bachelor's or Master's in Computer Science / AI / ML

Tools

TensorFlow
PyTorch
AWS
Azure

Jobbeschreibung

Welocity is seeking a Senior AIML Engineer in the UK (Glasgow or Cambridge) to advance its AI/ML capabilities and drive practical, scalable solutions across the business. You will lead the development and deployment of cutting-edge models, collaborating with cross-functional teams to ensure alignment with strategic goals and operational needs.

You will mentor junior engineers, shape AI initiatives, and ensure robust cloud-based deployments on AWS/Azure/Google Cloud.

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