Deep Learning Engineer

7 days ago


UK, UK, United Kingdom Airswift Full time

Deep Learning Engineer Opportunity


Location: Manchester/Wider North West Area

Employment Type: Full-Time, 12 month contract, outside ir35


About the Company:

Are you passionate about pushing the boundaries of AI and deep learning? Our client is dedicated to harnessing the power of AI to revolutionise the finance sector and beyond.


Role Overview:

As a Deep Learning Engineer you'll be at the forefront of developing cutting-edge AI solutions. You will collaborate with a talented team to design, build, and deploy advanced deep learning models that drive next-generation products and services.


Key Responsibilities:

  • Develop and optimize deep learning algorithms and models for [specific applications, e.g., computer vision, NLP, robotics].
  • Implement state-of-the-art deep learning architectures and techniques to solve complex problems.
  • Collaborate with cross-functional teams to integrate AI solutions into production systems.
  • Conduct experiments and analyze data to improve model performance and accuracy.
  • Stay current with advancements in deep learning research and apply findings to enhance our technology stack.


Requirements:

  • Master’s or PhD in Computer Science, Electrical Engineering, Mathematics, or related field.
  • Proven experience in deep learning model development and optimization.
  • Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Strong understanding of machine learning principles and algorithms.
  • Excellent problem-solving skills and ability to work in a collaborative team environment.


Technologies We're Looking For:

Python

TensorFlow

PyTorch

Keras

Natural Language Processing (NLP)

Computer Vision

Docker

Kubernetes


Benefits:

  • Competitive salary
  • Flexible work environment with options for remote work.
  • Opportunities for professional growth and career advancement in a dynamic industry.
  • Access to cutting-edge technologies and tools to support your work.


How to Apply:

If you're excited about leveraging deep learning to drive innovation and solve real-world challenges, we want to hear from you


Join us in shaping the future of AI. Let's build something extraordinary together


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