AI/ML Engineer
London - Shell Centre, United Kingdom
GBP 72K-80K (estimate) Mid-level Full Time
Tasks
- Architect and launch generative AI platforms
- Build RAG solutions with context engineering
- Build full-stack data science applications
- Build scalable distributed machine learning systems
- Create LLM test harnesses for benchmarking
- Create MLOps pipelines for automated deployment
- Create data orchestration workflows
- Design Azure machine learning workflows
- Detect data drift and monitor model performance
- Develop machine learning predictive models
- Develop text-to-SQL solutions
- Evaluate and deploy machine learning models
- Extract cleanse and manipulate structured data
- Implement model monitoring and continuous improvement
- Implement multi agent systems with CI CD
Perks/Benefits
- Competitive Salary Increase
- Flexible working hours
- Paid parental leave
- Remote work option
- Training and development programs
- Values-led culture
Skills/Tech-stack
AWS SageMaker | Agent Framework | Apache Airflow | Azure Data | Azure Data Factory | Azure Machine Learning | C# | CI/CD | Chunking | Dagster | Data Drift | Data Drift Detection | Data Factory | Data Lake | Databricks | Doc AI | Document Intelligence | Drift Detection | Event Driven | Event-driven architecture | Feature Engineering | Generative AI | Genie | Java | JavaScript | Kafka | Kubernetes | LLM | Langchain | Langgraph | Language Processing | MLOps | Machine Learning | Microservices | Microsoft Agent | Microsoft Agent Framework | Mistral Doc AI | Model Evaluation | Model Monitoring | Mosaic | Multimodal RAG | NLP | Natural Language | Natural Language Processing | PySpark | Python | RAG | Text-to-SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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