Machine Learning Engineer II
London, United Kingdom
GBP 70K-90K (estimate) Senior-level Full Time
Tasks
- Build data pipelines for machine learning
- Conduct offline and online evaluation of models
- Design agentic AI systems and recommender systems
- Develop and implement machine learning solutions for business problems
- Integrate large language models with guardrails and retrieval augmented generation
- Monitor deployed models and compound AI systems
- Own end to end model lifecycle from data to deployment
- Perform feature engineering and model training
Perks/Benefits
- Access to learning courses
- Adoption Assistance
- Flexible benefits
- Health insurance
- Parental leave
- Retirement programs
- Travel perks
- Wellbeing resources
Skills/Tech-stack
AWS | AWS Bedrock | AWS SageMaker | Agentic AI | As-a-Service | Bayesian Methods | Clustering | Data Pipelines | Deep learning | Ensemble learning | Feature Engineering | Feature Store | Generative AI | Hugging Face | Kubernetes | LLM | Language Processing | MLOps | MLflow | Machine Learning | Model-as-a-Service | Monitoring Dashboards | Natural Language | Natural Language Processing | PySpark | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical modeling | TensorFlow
Education
N/A
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