Senior Applied AI Engineer

Colibri Digital; United Kingdom; Remote; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Private Medical Insurance

Job summary

Colibri Digital, a trusted partner in Generative AI adoption, is seeking a Senior Applied AI Engineer to own the outcomes of engagements: define success, measure impact, and manage delivery risk. Remote-based in the UK with occasional travel.

You will design AI and GenAI systems end-to-end, guide other engineers, and act as a trusted technical contact for clients. Join a collaborative team focused on learning, excellence, and meaningful AI projects across industries, with a competitive salary

Qualifications

• Proven track record delivering AI models 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 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.

Responsibilities

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

Skills

Python

System design

Testing

LLMs integration

Cloud deployment

CI/CD

Responsible AI

Production monitoring

GenAI/ML

RAG

Agentic workflows

Data Science

Data Engineering

MLOps

AWS

Databricks

Tools

AWS

Databricks

CI/CD tools

Job description

As trusted partners of AWS and Databricks, we help organisations design, build and scale intelligent systems that deliver measurable business outcomes. We lead from the front in Generative and Applied AI adoption — guiding clients from uncertainty to confident, production-grade delivery.

We are looking for a talented Senior Applied AI Engineer where you will own the outcomes of an engagement or workstream: defining success, measuring business impact, and managing delivery and technical risk.

You will design AI and GenAI systems end-to-end, guide other engineers, and act as a trusted technical contact for clients.

The role is remote based in UK with the occasional travel to company events.

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.
• 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.