Senior Machine Learning Engineer (Manchester)
Tasks
- Build ETL and data workflows for LLM systems
- Build and support Generative AI solutions
- Communicate machine learning concepts to stakeholders
- Create metrics to improve model performance
- Create standards for AI engineering and data science models
- Design AI agents and multi agent architectures
- Develop MLOps platforms and workflows
- Evaluate vendor tools and onboard solutions
- Integrate and deploy machine learning models
- Monitor production SLAs and model performance
- Orchestrate large scale data pipelines
- Support safe AI development and deployment
Perks/Benefits
Skills/Tech-stack
AI Search | AWS | AWS Bedrock | AWS EKS | AWS S3 | Agent systems | Agentic AI | Amazon SageMaker | Apache Airflow | Automated testing | Azure | Azure AI | Azure AI Search | Azure Blob | Azure Blob Storage | Azure OpenAI | Blob Storage | Decision Trees | Deep learning | Docker | ETL | Fine Tuning | Information Retrieval | Java | Kubernetes | LLM Fine-tuning | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Multi-Agent | Multi-Agent Systems | Multi-class classification | Natural Language | Natural Language Processing | Neural Networks | Python | Source Control | Support Vector Machines | Vector machines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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