Role details
Build AI systems at one of the world's largest professional services firms, working at engineer level across real enterprise deployments.
You'll design, build, and ship AI and machine learning solutions for large-scale enterprise clients. Day-to-day you'll work across the full development lifecycle, from model development and integration through to production deployment. The work spans industries, so no two projects look the same.
The firm operates at genuine global scale, which means you'll get exposure to complex environments and enterprise-grade tooling that smaller shops simply don't run. You'll be working alongside specialists across data, cloud, and architecture, so there's plenty to learn from the people around you. The expectation is that you bring solid engineering fundamentals and can apply them to AI use cases, not just prototype work but production-ready systems.
Career progression here is structured and transparent. The level system means you know exactly where you stand and what the next step looks like. The firm also invests in certifications and technical development, so if you want to build credentials across cloud platforms or AI frameworks, there's a path to do that.
What You'll Do
- Design and build AI and machine learning solutions for enterprise clients across multiple industries.
- Develop production-ready models and integrations, taking work from initial build through to deployment.
- Work within cross-functional teams across data engineering, cloud infrastructure, and solution architecture.
- Contribute to technical delivery on client engagements, translating business requirements into working AI systems.
What You'll Need
- Hands-on experience building and deploying machine learning or AI solutions in production environments.
- Proficiency in Python and familiarity with common ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with cloud platforms, AWS, Azure, or GCP, and an understanding of how AI systems run in enterprise infrastructure.
- Solid software engineering fundamentals including version control, testing, and CI/CD practices.
About the Company
They're a global professional services firm with operations across more than 120 countries. The technology practice works with some of the largest organisations in the world, delivering complex digital and AI programmes at scale. The team is large, structured, and well-resourced.
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