Senior AI/ML Engineer for BP (global energy leader).

Tasks

• Build & deploy LLM solutions (RAG, agents, fine-tuning)
• Optimize ML pipelines for big data using PySpark
• ML CI/CD, model deployment on Kubernetes
• Collaborate with BP's UK-based teams

Requirements

• Female applicants only
• Tech Stack: Python, SQL, FastAPI, Pydantic, REST API, Async/Streaming
• Pandas, NumPy, Scikit-learn, PySpark
• PyTorch / TensorFlow, HF Transformers
• OpenAI API, LangChain, LlamaIndex, Prompt Engineering, RAG, Agents, Function calling
• Vector DBs: Pinecone, Weaviate, Chroma
• Fine-tuning (LoRA, QLoRA), Embeddings, spaCy
• LLM Observability: LangSmith, W&B, Arize
• MLflow, Docker, Kubernetes, CI/CD, Azure DevOps
• Cloud: Azure / AWS

Compensation Details

• Up to $7,000 gross per month

Schedule

• Timezone: CET / UK (remote, but working within European hours)