Senior Consultant​/Manager, AI​/ML Engineer

About Baringa

Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise and advanced technology, the firm helps clients to deliver with greater confidence and certainty.

Forward Deployed AI & Solutions Engineer – lead delivery of AI‑enabled solutions embedded in clients’ teams, combining deep technical specialism with commercial and leadership skills.

As a Senior Consultant in SAIL, you will own and lead consultancy engagements end‑to‑end, from shaping the opportunity and winning work to delivery governance and team leadership. You will bring SME‑level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering and apply it to create real, lasting value for our clients.

• Design and build production‑grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale.
• Strong opinions on secure, resilient enterprise deployment of LLM‑powered systems; current knowledge of the latest model capabilities and AI product stacks.

• End‑to‑end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection.
• Practical knowledge of ML frameworks (scikit‑learn, PyTorch, XGBoost) and cloud‑native ML services (Sage Maker, Azure ML, Vertex AI).

• Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event‑driven architectures and CI/CD.
• Track record of delivering production Python services and APIs; working knowledge of cloud‑native application patterns and release practices.

• Production‑grade Python services (FastAPI, AWS Lambda, event‑driven patterns) and front‑end development with React/Next.js, Material UI and SWR.
• Cloud architecture design capability across major providers; rounded understanding of database trade‑offs – relational, No
  
  SQL, graph and caching strategies.
• Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security‑conscious development.
• Passion for AI solutions and ability to ope rationalise them at scale.

• 1‑5 years in technology consulting, software engineering or AI/ML.
• SME‑level depth in at least one of:
  Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering.
• Clear, confident communicator – able to make complex ideas accessible for technical and non‑technical audiences.
• Master’s degree in Computer Science, Engineering, Mathematics, Data Science or equivalent, or equivalent professional certifications.
• Prior experience as a forward‑deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector.

All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply.

We actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed.