Senior Principal AI Engineer at Expleo
May no longer be active — verify on the employer site
At a glance
- Company
- Expleo
- Location
- United Kingdom
- Work arrangement
- On-site
- Experience
- 10+ years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Expleo job
- 🏢 Expleo has 2 jobs here, 2 with visa sponsorship see all
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
- 💡 No salary shown. Ask Expleo if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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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.
Key skills
- Python — in 1200 other listings on The Stack
- Machine Learning — in 291 other listings on The Stack
- Generative AI — in 58 other listings on The Stack
- MLOps — in 72 other listings on The Stack
- Cloud Computing — in 46 other listings on The Stack
- Azure — in 143 other listings on The Stack
- AWS — in 802 other listings on The Stack
- GCP — in 169 other listings on The Stack
- PyTorch
- TensorFlow
- Scikit-learn
- Technical Leadership
- Consulting
- Data Engineering
- Responsible AI
- Communication
On The Stack (as of 2026-11-05)
Frequently asked questions about Expleo
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.