ml engineer for AI consulting

Baringa is a global consulting firm that partners with leaders to drive change and create value. It helps clients across multiple industries deliver with greater confidence through industry expertise, advanced technology, data, AI and digital innovation.

• Own and lead end-to-end delivery of complex AI and technology consulting engagements, taking accountability for scope, quality, risk and client outcomes
• Lead and resource multidisciplinary delivery teams, providing direction, technical oversight and people development
• Forecast team requirements, staff engagements with practice leadership, and develop talent through mentoring and supporting junior practitioners
• Identify and manage delivery risks in complex stakeholder environments, escalating appropriately and maintaining client confidence
• Communicate with technical teams and senior client stakeholders, translating complexity into actionable insights and recommendations
• Conduct technical reviews and uphold engineering and delivery standards
• Identify business development opportunities, shape propositions, and support or lead bids and tender responses
• Write proposals and technical and delivery sections of responses to client tenders and RFPs
• Build client relationships as a trusted advisor and develop follow-on opportunities
• Support account planning, capability development and go-to-market positioning for AI and solutions engineering services
• Lead architecture design for AI-enabled platforms and cloud solutions, balancing technical quality, delivery pragmatism and commercial realities
• Provide hands-on technical direction by reviewing designs, code and delivery artefacts
• Drive robust, scalable and secure AI deployments from prototype to production
• Advise client architects, CTOs and engineering leads on technical matters
• Design and build production-grade agentic systems using LLM SDKs and agent frameworks, including RAG, MCP servers and prompt engineering at scale
• Apply secure and resilient enterprise deployment practices for LLM-powered systems and maintain current knowledge of model capabilities and AI product stacks
• Manage the end-to-end ML lifecycle, including feature engineering, model training, evaluation, production deployment, MLOps, monitoring and drift detection
• Develop production-grade Python services and front-end applications
• Design cloud architectures and assess relational, NoSQL and graph databases, as well as caching strategies
• Apply CI/CD, testing, release management and security-conscious development practices

• 7+ Years in technology consulting, software engineering or AI/ML, including at least 3 years in a senior leadership role with direct accountability for end-to-end engagement delivery, resourcing and commercial outcomes
• Experience supporting or leading bid and proposal activity, including writing technical and delivery sections for client tenders and RFPs
• SME-level expertise in at least one of Agentic AI/LLM Engineering, Machine Learning Engineering or Software Engineering, with architecture and design capability across cloud, data and AI
• Ability to build and lead high-performing delivery teams in complex stakeholder environments and engage with CTOs or engineering directors
• Clear, confident communication with technical and non-technical audiences and ability to represent Baringa’s expertise credibly
• Master’s degree in Computer Science, Engineering, Mathematics, Data Science or a related discipline, or equivalent depth through relevant professional certifications
• Будет плюсом: 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

• Условий в вакансии нет