AI Deep Learning Engineer

On-site

AI Deep Learning Engineer

Nationwide: London, Manchester, Glasgow, Nottingham and Cardiff
From £50,000 per annum
Full time

Full-time, permanent role building deep learning solutions for real-world AI applications, with a clear career path from junior to senior engineer.

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Job Description

Employment type: Full-time, permanent

About the Role

We are seeking a passionate and skilled AI Deep Learning Engineer to join our innovative team. This role offers an exciting opportunity to work on cutting-edge deep learning projects that drive real-world AI applications. With a focus on career development and growth, the successful candidate will benefit from a clear career path and ongoing learning opportunities.

Key Responsibilities

  • Design, develop, and optimise deep learning models and neural networks to solve complex problems
  • Work with large-scale datasets to preprocess, augment, and feed data into models
  • Collaborate with cross-functional teams including data scientists, software engineers, and product managers to deploy AI solutions
  • Experiment with new architectures and techniques to improve model performance and efficiency
  • Monitor, maintain, and troubleshoot deployed deep learning models
  • Stay current with advancements in deep learning research and tools

Essential Skills and Qualifications

  • Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras
  • Experience with CNNs, RNNs, transformers, and other neural network architectures
  • Solid understanding of AI learning principles and ethics
  • Ability to handle and preprocess large datasets
  • Good problem-solving skills and attention to detail
  • Degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience

Career Development and Opportunities

  • Starting salary of £50,000 with regular performance reviews and salary progression
  • Clear and structured career path from Junior to Senior Engineer and beyond
  • Opportunities to lead projects and mentor junior team members
  • Access to professional development resources, workshops, and conferences
  • Collaborative and supportive team environment focused on growth and innovation