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Senior Applied AI Engineer

Nasstar
Remote, GBR
Full-time
Senior · 5+ years experience
Remote
Discovered 2 weeks ago
AWSDatabricksPythonCI/CDRAGMLOps
Free

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Key Responsibilities

  • Delivery & impact: Own workstream and engagement outcomes; define success, measure business impact, and balance technical debt, speed and scalability.
  • AI & engineering craft: Design AI systems end-to-end across the lifecycle; make and justify key trade-offs; evaluate model performance beyond simple accuracy.
  • Collaboration: Explain AI concepts, trade-offs and limitations to technical and non-technical clients; lead code reviews; resolve technical disagreements constructively.
  • Growth & capability: Mentor engineers; contribute reusable components, accelerators and best practice; continuously improve how the team delivers.

Skills, Knowledge and Expertise

  • Proven track record delivering AI models, systems and products to production in a consultancy or AI-driven product organisation.
  • Strong programming (Python and the wider tech stack), system design and testing methodologies.
  • Experience integrating models / LLMs and deploying on cloud platforms (AWS and/or Databricks), with solid CI/CD practice.
  • Able to own delivery, manage stakeholders, and guide other engineers with confidence.
  • Depth in a speciality: GenAI/ML (RAG, agentic workflows), Data Science, Data Engineering, Product/Full-Stack, or Platform/MLOps.
  • AWS and/or Databricks certifications; experience of responsible-AI and production monitoring.

Benefits

  • Remote-first working with flexibility around client needs.
  • Private Medical Insurance.
  • Opportunity to work on meaningful AI projects across multiple industries.
  • A collaborative culture focused on learning, excellence and continuous improvement.
  • Competitive salary with clear progression pathways.

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