Data Science & AI Delivery Lead
London - Scalpel, United Kingdom
USD 175K-200K Senior-level Full Time
Tasks
- Apply MLOps practices for model versioning testing deployment and monitoring
- Collaborate on solution architecture and delivery planning
- Design and deliver generative AI solutions
- Develop Python based AI prototypes and production code
- Drive engineering best practices and documentation
- Implement RAG architectures
- Integrate solutions with Azure AI services
- Lead day to day AI delivery operations
- Lead proof of concept evaluation for feasibility and value
- Manage Git based version control and code review standards
- Manage design build test and deployment of AI solutions
- Mentor and coach data scientists and AI engineers
- Perform prompt engineering
- Provide technical guidance on solution design model selection and architecture
- Represent head of AI delivery in meetings and stakeholder forums
- Review code and technical outputs to maintain quality
- Set up CI CD for model delivery
- Support data engineering for data pipelines and lakehouse structures
Perks/Benefits
Skills/Tech-stack
AI Search | Apache Spark | Artificial Intelligence | Automated testing | Azure | Azure AI | Azure AI Search | Azure Machine Learning | Azure OpenAI | CI/CD | Cloud Computing | Code review | Databricks | Drift monitoring | Generative AI | Git | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model versioning | Monitoring | Pandas | Programming | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Solution architecture | TensorFlow | Vector Databases | Vector Search
Education
N/A
Roles
AI | AI Delivery Lead | Data Science | Data Science Delivery Lead | Delivery Lead | Lead
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