Senior Applied AI Engineer

Department: Services

Employment Type: Permanent

Location: London, UK, Remote, UK, Remote

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.