Deep Learning Consultant
| Posting date: | 03 May 2026 |
|---|---|
| Salary: | £54,500 to £59,500 per year |
| Hours: | Full time |
| Closing date: | 31 May 2026 |
| Location: | B18 6BA |
| Remote working: | Hybrid - work remotely up to 3 days per week |
| Company: | DEVI TECHNOLOGIES LIMITED |
| Job type: | Permanent |
| Job reference: |
Summary
Define and shape AI solutions for use cases such as image recognition, speech analysis, and natural language understanding, aligning with business goals.
Guide the selection and application of advanced deep learning approaches including CNNs, Transformers, GANs, and other modern architectures.
Oversee model training strategies, including dataset selection, augmentation approaches, and performance optimization techniques.
Collaborate with data scientists, engineers, and product teams to translate business needs into AI-driven solutions.
Evaluate model performance using key metrics and provide strategic recommendations for improvement.
Lead the adoption of best practices in AI, including explainability, fairness, and ethical considerations.
Review and interpret research developments, translating cutting-edge advancements into practical applications.
Provide direction on scalable AI deployment strategies across cloud platforms or edge environments.
Monitor deployed AI systems by reviewing performance reports and recommending retraining or adjustments.
Facilitate communication between technical and non-technical stakeholders, ensuring clarity in AI capabilities and limitations.
Contribute to AI thought leadership through presentations, internal knowledge sharing, or industry discussions.
Guide the selection and application of advanced deep learning approaches including CNNs, Transformers, GANs, and other modern architectures.
Oversee model training strategies, including dataset selection, augmentation approaches, and performance optimization techniques.
Collaborate with data scientists, engineers, and product teams to translate business needs into AI-driven solutions.
Evaluate model performance using key metrics and provide strategic recommendations for improvement.
Lead the adoption of best practices in AI, including explainability, fairness, and ethical considerations.
Review and interpret research developments, translating cutting-edge advancements into practical applications.
Provide direction on scalable AI deployment strategies across cloud platforms or edge environments.
Monitor deployed AI systems by reviewing performance reports and recommending retraining or adjustments.
Facilitate communication between technical and non-technical stakeholders, ensuring clarity in AI capabilities and limitations.
Contribute to AI thought leadership through presentations, internal knowledge sharing, or industry discussions.
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