Senior ML Engineer (Europe-based/Remote)
Tasks
- Apply distillation and fine tuning
- Build agentic LLM systems
- Build data preparation pipelines
- Build evaluation datasets
- Build retrieval and orchestration pipelines
- Create offline and online evaluation harnesses
- Create regression tests for model quality
- Deploy and monitor ML models
- Design multi step workflows with tool use
- Implement LLM as judge pipelines with human review
- Implement feedback loops for continuous improvement
- Improve model quality with prompting and retrieval
- Own ML projects end-to-end
- Review code and mentor engineers
- Translate clinical requirements into technical decisions
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Deep learning | Direct Preference Optimization | Distributed Systems | Evaluation datasets | Fine Tuning | Human Feedback | Human-in-the-loop | Knowledge Distillation | LLM Evaluation | LLM-as-a-Judge | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Monitoring | Natural Language | Natural Language Processing | Orchestration | Preference optimization | Prompt engineering | Regression testing | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | The Loop | Tool-Calling
Education
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