Machine Learning Engineer

Lead Machine Learning Engineer (Generative AI & Agentic Systems)

Location: London, UK (Hybrid: 2 days/week in-office)

Type: 12-Month Contract

The Opportunity

Are you a hands-on leader in the AI space? We are looking for a Lead ML Engineer to spearhead the design, deployment, and optimization of sophisticated AI models and Agentic Systems .

This isn't just about standard predictive modeling—you’ll be building autonomous agents that reason and execute, leveraging the latest in LLM fine-tuning, RAG pipelines, and scalable MLOps.

The Core Mission

• Architect & Build: Design and implement AI algorithms and architectures, moving from raw concepts to robust frameworks.
• Agentic Systems & LLMs: Develop intelligent AI agents capable of reasoning and planning. Expertly handle LLM fine-tuning (PEFT, LoRA, QLoRA) and RAG pipelines.
• Data Orchestration: Build ETL/ELT pipelines and feature engineering workflows to integrate structured and unstructured data into centralized platforms.
• End-to-End MLOps: Own the lifecycle—from CI/CD automation and containerization (Docker/Kubernetes) to versioning and infrastructure management.
• Responsible AI: Ensure every system is trustworthy, fair, and explainable, implementing quantifiable metrics for bias detection and regulatory compliance.

Technical Toolkit

• Models: LLMs, Generative AI, Agentic workflows.
• Engineering: PEFT, Vector Databases (Pinecone/Milvus/Weaviate), Prompt Engineering.
• Ops: Docker, Kubernetes, CI/CD, Experiment Tracking (MLflow/W&B).
• Data: ETL/ELT, Feature Stores, Performance Tuning.

Who You Are

• A Technical Lead: You can bridge the gap between Data Science, Software Engineering, and the business.
• A Precision Engineer: You value documentation, data governance, and "bulletproof" deployment.
• A Strategic Thinker: You don’t just build; you optimize for scalability, performance, and cost-efficiency.

Logistics

• Contract: 12-month initial term.
• Location: London-based office. Candidates must be able to commute to the office 2 days per week (mandatory).

Are you ready to build the next generation of autonomous AI?

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