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This range is provided by numi. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Staff Machine Learning Engineer – London (Hybrid) – £115k + Bonus
Ready to lead the next generation of production-grade AI systems?
numi are on the lookout for a Staff Machine Learning Engineer to join a rapidly scaling ML team. You’ll play a key role in building intelligent, scalable systems that power real-time optimisation and personalised user experiences—leveraging cutting-edge ML infrastructure to drive real impact.
From LLM-based personalisation to robust deployment pipelines, this is a high-impact, hands-on role at the intersection of engineering, data science, and product. You’ll define the technical foundations and shape the standards for safe, scalable AI adoption across the organisation.
You’ll be...
* Leading the design and implementation of end-to-end ML systems that support both real-time and batch inference.
* Building robust pipelines for training, deployment, and monitoring with modern MLOps tooling
* Developing resilient services and reusable frameworks to streamline AI product delivery.
* Defining and evolving the company’s MLOps strategy—including deployment infrastructure, observability, and governance.
* Partnering with data scientists to bring models from prototype to production with clean, scalable interfaces.
* Driving architectural reviews, mentoring engineers, and setting engineering best practices for ML systems.
About you...
* 5+ years of experience building and scaling ML systems in production environments.
* Strong Python skills and deep familiarity with modern ML and MLOps tools (e.g. Kubeflow, Airflow, Vertex AI).
* Experience with infrastructure-as-code and CI/CD workflows (Terraform, GitHub Actions, ArgoCD, etc.).
* Passion for building reliable, scalable infrastructure that powers real-world AI applications.
* Strong understanding of the full ML lifecycle—testing, monitoring, versioning, and governance.
* Experience leading technical initiatives and mentoring other engineers is a big plus.
Interested? Apply now and help shape the future of scalable AI.
Seniority level
* Seniority level
Director
Employment type
* Employment type
Full-time
Job function
* Industries
Technology, Information and Media
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