2 months 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.
Categories
About Nasstar
Nasstar provides managed IT and cloud services, including cloud migration, infrastructure operations, networking, security, and data platform enablement for enterprise and mid-market clients. It delivers consulting and ongoing managed services across Microsoft Azure and AWS, with expertise in automation, governance, and CI/CD. Founded in 1998 and headquartered in Wakefield, West Yorkshire, it is part of GCI Com after previously being listed on the London Stock Exchange.