Deep Learning Engineer

Devi Technologies; Birmingham; On-site; GBP 45,000 - 70,000; Full time

Job summary

A leading technology firm in Birmingham is seeking an experienced developer to design and implement deep learning models for various applications. Responsibilities include training and optimizing neural networks, deploying models into production environments, and ensuring ethical AI practices. Collaboration with cross-functional teams is key to delivering innovative AI-powered solutions. Candidates should be familiar with cloud platforms and maintain high standards in code quality. This role offers an opportunity to contribute to cutting-edge AI advancements.

Responsibilities

• Design and develop deep learning models for image classification and speech recognition.
• Optimize neural networks using large-scale datasets and advanced techniques.
• Collaborate with teams to deliver AI-powered features.
• Deploy models in production ensuring performance and reliability.

Job description

Responsibilities

• Design and develop deep learning models for tasks such as image classification, object detection, speech recognition, and natural language processing.
• Train, evaluate, and optimize neural networks using large-scale datasets and advanced techniques like transfer learning, data augmentation, and hyperparameter tuning.
• Implement state-of-the-art deep learning architectures, including CNNs, RNNs, LSTMs, Transformers, GANs, and autoencoders.
• Collaborate with cross‑functional teams including data scientists, software engineers, and product managers to define and deliver AI‑powered features and solutions.
• Build and maintain scalable data pipelines for preprocessing, labeling, and augmentation of structured and unstructured data.
• Conduct research and literature reviews to evaluate and implement the latest algorithms and advancements in deep learning.
• Optimize model performance for deployment using techniques like quantization, pruning, and model compression.
• Deploy models into production environments, ensuring performance, reliability, and scalability using cloud platforms (AWS, GCP, Azure) or on‑edge devices.
• Write clean, maintainable, and well‑documented code that adheres to software engineering best practices.
• Monitor and troubleshoot deployed models, tracking key performance metrics and retraining when necessary.
• Ensure ethical AI practices, including fairness, explainability, and accountability in model development and deployment.
• Stay up-to-date with the AI/ML community, contributing to internal knowledge-sharing sessions and possibly publishing research papers or blog posts.

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 .