# Senior Principal AI Engineer at Expleo

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Lead design, build and delivery of produ

- **Company:** Expleo (https://jobs.trythestack.co/companies/expleo)
- **Location:** United Kingdom
- **Work arrangement:** On-site
- **Experience level:** 10+ years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, Machine Learning, Generative AI, MLOps, Cloud Computing, Azure, AWS, GCP, PyTorch, TensorFlow, Scikit-learn, Technical Leadership, Consulting, Data Engineering, Responsible AI, Communication
- **Posted by employer:** 2026-07-29
- **Added to The Stack:** 2026-07-30
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://expleo-jobs-gb-en.icims.com/jobs/51903/senior-principal-ai-engineer/job (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-principal-ai-engineer-expleo

## About the role

Responsibilities:
- Lead design, build and delivery of production-grade AI/ML solutions (classical ML and generative AI) end-to-end.
- Create and maintain AI pipelines: data ingestion, feature engineering, model training, evaluation, deployment, monitoring and automated retraining.
- Apply MLOps best practices: CI/CD for models, versioning, monitoring, rollback and scaling.
- Define solution architectures aligned to client needs; evaluate and integrate emerging technologies (LLMs, vector DBs) where appropriate.
- Engage with clients: run technical workshops, translate business problems into technical scope, and advise on feasibility and trade-offs.
- Embed Responsible AI: explainability, bias mitigation, auditability and compliance with data protection (e.g., GDPR).
- Mentor AI engineers, set engineering standards, and contribute to reusable accelerators and delivery playbooks.

Requirements:
- Strong software engineering background with proficiency in Python and experience in ML frameworks (PyTorch, TensorFlow, scikit-learn).
- Proven track record delivering production AI/ML systems and implementing MLOps practices on cloud platforms (Azure, AWS or GCP).
- Experience with model deployment, monitoring, performance tuning and CI/CD for models in live environments.
- Excellent communication and client-facing consulting skills; able to explain complex technical concepts to non-technical stakeholders.
- Familiarity with Responsible AI principles, data privacy and regulatory requirements.
- Significant experience (senior/lead level) in AI engineering, with mentoring and technical leadership responsibilities.

## Responsibilities

Design, develop, and deploy end-to-end AI/ML solutions while providing technical leadership and consulting to clients. Ensure AI systems are scalable, secure, and compliant with responsible AI governance and data protection regulations.

## Requirements

Requires a strong software engineering background with proficiency in Python and extensive experience in delivering production-grade AI/ML systems. Candidates must possess expertise in MLOps, cloud platforms, and the ability to communicate complex technical concepts to non-technical stakeholders.

## FAQ

- **Is this Senior Principal AI Engineer role still open?** It was posted on 2026-07-29. Listings more than 30 days old may no longer be active, so check Expleo's site before applying.
- **Does Expleo offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Expleo's site.
- **Where is this role located?** The listing gives the location as United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, Machine Learning, Generative AI, MLOps, Cloud Computing, Azure, AWS, GCP, PyTorch, TensorFlow, Scikit-learn, Technical Leadership, Consulting, Data Engineering, Responsible AI, Communication.

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## Notes for agents

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