AI Deep Learning Engineer
| Posting date: | 30 May 2025 |
|---|---|
| Salary: | £54,423 to £59,898 per year |
| Hours: | Full time |
| Closing date: | 29 June 2025 |
| Location: | B18 6BA |
| Remote working: | Hybrid - work remotely up to 3 days per week |
| Company: | DEVI TECHNOLOGIES LIMITED |
| Job type: | Permanent |
| Job reference: |
Summary
Create systems based on neural networks that can learn and make decisions from large amounts of data.
Use powerful computing tools to teach the system using data, and test how well it performs.
Prepare, clean, and organize data (e.g., images, videos, or text) for training deep learning models.
Improve how fast and accurately the models learn and perform tasks.
Work with data scientists, software engineers, and product teams to deliver AI solutions that solve real-world problems.
Learn and apply the latest deep learning research, tools, and techniques.
Strong skills in Python programming
Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras
Solid understanding of neural networks, convolutional networks (CNNs), and recurrent networks (RNNs)
Good knowledge of mathematics, especially linear algebra, probability, and calculus
Ability to handle large datasets and use tools such as NumPy, Pandas, or OpenCV
Experience with computer vision, natural language processing (NLP), or speech recognition
Familiarity with GPU computing and tools such as CUDA for model training
Knowledge of MLOps and deploying deep learning models into real-world applications
Experience working with cloud services (e.g., AWS, GCP, Azure)
Use powerful computing tools to teach the system using data, and test how well it performs.
Prepare, clean, and organize data (e.g., images, videos, or text) for training deep learning models.
Improve how fast and accurately the models learn and perform tasks.
Work with data scientists, software engineers, and product teams to deliver AI solutions that solve real-world problems.
Learn and apply the latest deep learning research, tools, and techniques.
Strong skills in Python programming
Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras
Solid understanding of neural networks, convolutional networks (CNNs), and recurrent networks (RNNs)
Good knowledge of mathematics, especially linear algebra, probability, and calculus
Ability to handle large datasets and use tools such as NumPy, Pandas, or OpenCV
Experience with computer vision, natural language processing (NLP), or speech recognition
Familiarity with GPU computing and tools such as CUDA for model training
Knowledge of MLOps and deploying deep learning models into real-world applications
Experience working with cloud services (e.g., AWS, GCP, Azure)
Proud member of the Disability Confident employer scheme
Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.