13 days ago
Remote, United KingdomSenior
Responsibilities
- Own engagement or workstream outcomes, define success measures, assess business impact, and manage technical and delivery risk.
- Design AI and GenAI systems end-to-end and make informed trade-offs among technical debt, speed, scalability, and performance.
- Evaluate model performance beyond simple accuracy and integrate and deploy models and LLMs on cloud platforms.
- Explain AI concepts, trade-offs, and limitations to technical and non-technical clients.
- Lead code reviews, resolve technical disagreements, mentor engineers, and develop reusable components and delivery best practices.
Requirements
- Proven experience delivering AI models, systems, and products to production in a consultancy or AI-driven product organization.
- Strong Python programming, system design, and software testing knowledge.
- Experience integrating models or LLMs and deploying solutions on AWS and/or Databricks.
- Ability to own delivery, manage stakeholders, and guide other engineers.
- Desirable experience in GenAI/ML, RAG, agentic workflows, Data Science, Data Engineering, Product/Full-Stack, or Platform/MLOps.
- AWS and/or Databricks certifications, responsible-AI experience, and production monitoring experience are desirable.
Benefits
- Remote-first working in the UK with flexibility around client needs and occasional travel to company events.
- Private Medical Insurance.
- Opportunity to work on meaningful AI projects across multiple industries.
- Collaborative learning-focused culture with clear progression pathways and competitive salary.
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