Lead Machine Learning Engineer, Associate Director (Manchester)
Tasks
- Build ETL data workflows
- Build and deploy generative AI solutions
- Build and integrate AI agents
- Communicate ML concepts to business stakeholders
- Conduct AI vendor evaluations and tool assessments
- Create AI governance policies and guidelines
- Design MLOps platforms
- Develop deep learning solutions
- Develop machine learning workflows
- Develop search and information retrieval systems
- Evaluate model performance and improve accuracy
- Maintain production SLAs for ML applications
- Orchestrate large scale data pipelines
Perks/Benefits
Skills/Tech-stack
AI Search | AWS | AWS Bedrock | AWS EKS | AWS S3 | Airflow | Amazon SageMaker | Azure | Azure AI | Azure AI Search | Azure Blob | Azure Blob Storage | Azure OpenAI | Blob Storage | Data orchestration | Decision Trees | Deep learning | Docker | ETL | Fine Tuning | Information Retrieval | Java | Kubernetes | LLM Fine-tuning | Language Processing | MLOps | Machine Learning | Multi-class classification | Natural Language | Natural Language Processing | Neural Networks | Python | Search | Support Vector Machines | Vector machines
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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