Senior Principal AI Engineer

Location: London – 3 days onsite per week 📍

Salary: £100-120k + bonus (10-15%)

We’re working with a leading global engineering and technology consultancy to recruit a

Senior Principal AI Engineer to join their growing AI practice. This is a high-impact role combining hands-on engineering, technical leadership, and client-facing delivery across cutting-edge AI programmes.

If you’re passionate about building production-grade AI systems and shaping real-world solutions at scale, this could be an excellent next step.

The Role

As a Senior Principal AI Engineer, you’ll play a key role in designing and delivering end-to-end AI solutions within complex client environments. You’ll work closely with stakeholders to translate business challenges into scalable, secure, and responsible AI systems.

This role offers a blend of technical depth, strategic input, and client interaction.

Key Responsibilities:

AI Engineering & Delivery

• Design, build, and deploy end-to-end AI/ML solutions (including generative AI use cases)
• Develop robust, production-ready pipelines covering data ingestion through to deployment and monitoring
• Implement MLOps best practices (CI/CD, model versioning, automated retraining, monitoring)
• Ensure solutions are scalable, secure, and reliable in live environments

Architecture & Leadership

• Define solution architectures aligned to client needs and long-term sustainability
• Set and maintain engineering standards across AI delivery
• Evaluate and implement emerging technologies (e.g. GenAI, LLMs, vector databases)

Client Engagement

• Work directly with clients to shape AI use cases and assess feasibility
• Lead workshops and technical design sessions
• Act as a trusted advisor on AI strategy, risks, and implementation

Responsible AI

• Embed principles such as explainability, bias mitigation, and data privacy
• Ensure compliance with relevant regulations (e.g. GDPR)

Team Development

• Mentor engineers and data scientists
• Contribute to internal best practices, tools, and reusable frameworks

About You

• Strong software engineering background (Python essential)
• Proven experience delivering production AI/ML systems
• Hands-on experience with frameworks such as PyTorch, TensorFlow, or scikit-learn
• Solid understanding of MLOps and deploying models into live environments
• Cloud platform experience (Azure, AWS, or GCP)
• Excellent communication skills, with the ability to engage non-technical stakeholders

What’s on Offer

• Opportunity to work on high-profile, cutting-edge AI projects
• Collaborative and forward-thinking engineering culture
• Ongoing learning and development, including access to structured training programmes
• Clear career progression within a growing AI capability
• Competitive salary and benefits package