Python jobs in United Kingdom

Apply for the Principal Applied AI Engineer role at Colibri Digital.

Colibri Digital is a specialist engineering consultancy delivering advanced data and AI solutions for clients across finance, healthcare, logistics, government, and technology.

Department: Services
Location: Remote, UK

We’re looking for a Principal Applied AI Engineer to shape and build AI systems that make a tangible impact.

You’ll work closely with clients and cross‑functional teams to design and deliver scalable, production‑ready AI capabilities — from intelligent automation to generative applications. This role is ideal for someone who thrives in ambiguity, mentors others with confidence, and enjoys bridging design, engineering, and delivery.

• Lead technical discovery and delivery for AI engineering engagements, taking clients from concept to production.
• Design, build and deploy applied AI systems that integrate seamlessly with existing software and data platforms.
• Develop and maintain backend systems, APIs, and frontends in alignment with software engineering best practices.
• Mentor and develop engineers (both within Colibri and client teams), building capability and confidence.
• Define and uphold best practices in AI engineering, including robust architecture, testing, and deployment.
• Partner with data scientists, product managers, and delivery leads to ensure AI solutions are practical, ethical, and aligned with business outcomes.
• Contribute to Colibri’s internal capability development; shaping frameworks, patterns, building reusable code repositories or other assets and thought leadership in applied AI.
• Represent Colibri as a trusted technical advisor, communicating complex AI concepts clearly to non‑technical audiences.

• Proven experience in a senior or principal engineering role within an AI technology consultancy or AI‑driven product organisation, delivering AI models, systems and products to production.
• Strong foundation in software engineering with hands‑on experience building and deploying production‑grade AI or ML‑enabled systems.
• Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent).
• Proficiency in at least one major programming language (Python preferred) and modern software delivery practices (CI/CD, containers, orchestration).
• Experience mentoring engineers and guiding clients through AI adoption and delivery.
• Excellent communication and stakeholder management skills, able to lead with empathy and clarity in complex client environments.

• Experience integrating generative AI, retrieval‑augmented generation (RAG), or similar architectures into production systems.
• Strong background in consultancy, digital transformation, or multi‑industry project delivery.
• Contributions to open‑source projects or AI engineering communities.

• Remote‑first working with flexibility around client needs.
• Private health insurance.
• Projects with global brands & public sector leaders, working on real‑world impact.
• A collaborative culture of excellence and continuous improvement.
• Competitive salary, bonus structure, and long‑term growth opportunities.

Mid‑Senior level

Full‑time

Engineering and Information Technology

IT Services and IT Consulting