My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy.

Key Responsibilities

End-to-end development of AI/ML solutions.
MLOps practices: CI/CD, model monitoring, retraining.
Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks).
Generative AI features: embeddings, RAG, AI agents.
Clean, testable code with modern engineering practices.
Align with enterprise architecture and governance.
Collaborate with architects and stakeholders.
Lifecycle management of models.
Pilot emerging technologies.

Experience & Skills

2-4 years in production-level AI/ML delivery.
Legal/professional services experience is a plus.
AI/ML frameworks: PyTorch, TensorFlow, LangChain.
Cloud: Azure (preferred), AWS, GCP.
MLOps: CI/CD, model lifecycle, monitoring.
Generative AI: LLMs, RAG, chat agents.
Data engineering alignment: ETL, governance.
Strong coding, communication, and collaboration skills.
Strategic thinking, problem-solving, and stakeholder engagement.

In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position.

DGH Recruitment Limited acts as both an Employment Agency and Employment Business