2 months ago
London, United KingdomStaff+
Responsibilities
- Lead consultancy engagements end-to-end from opportunity shaping and work-winning through delivery governance and team leadership.
- Deliver production-grade AI/ML and software solutions embedded within client teams and business processes.
- Design and build agentic AI and LLM systems using RAG, MCP servers, prompt engineering, major LLM SDKs, and agent frameworks.
- Execute machine learning lifecycles including feature engineering, model training, evaluation, deployment, MLOps, monitoring, and drift detection.
- Develop Python services, frontend applications, cloud architectures, and data storage strategies across relational, NoSQL, graph, and caching systems.
- Advise clients and lead teams on operationalisation, reliability, governance, security-conscious development, testing, and release management.
Requirements
- 1–5 years of experience in technology consulting, software engineering, or AI/ML.
- SME-level depth in at least one of agentic AI/LLM engineering, machine learning engineering, or software engineering, with strong architecture and design capability.
- Expertise in relevant AI/ML, cloud, software, data, and architecture technologies, including production delivery at scale.
- Clear and confident communication skills for technical and non-technical audiences and credible client representation.
- Master’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related discipline, or equivalent depth through relevant professional certifications.
- Prior experience as a forward-deployed or embedded engineer in a client environment.
- Exposure to regulated industries such as energy, financial services, or the public sector.
Categories
About Baringa
Baringa is a global management consulting partnership that advises enterprises and public-sector clients on strategy, operating-model change, and data- and technology-enabled transformation. It provides fee-based consulting across energy and resources, financial services, technology, media and telecoms, consumer products, government, and climate risk. Founded in 2000 and headquartered in London, it operates internationally across the UK, Europe, North America, Asia, and Australia.