AI Engineer (Infrastructure SRE & Automation) at Sky, Livingston, £Hourly Rate

We don't just believe in better. We make it happen. ?

Better content. Better products. And better careers.? ?

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. ?

Role/Team overview ? ?

We are seeking an AI Specialist to design, build, and operationalise intelligent systems that enhance Site Reliability Engineering (SRE) platforms and automate large-scale infrastructure operations. This role has a strong emphasis on reliability, scalability, and operational efficiency.

You will work closely with SRE, platform, and cloud engineering teams, within a global technology support organisation to embed AI-driven decision-making, predictive analytics, and autonomous remediation into infrastructure platforms . ?

What?you'll?do ? ?

Infrastructure Automation at Scal e

• Design and deploy AI-powered automation frameworks for incident response and remediation (self-healing systems ).

• Automate repetitive operational workflows across compute, storage, and networking layers .

• Integrate AI capabilities into CI/CD pipelines and infrastructure-as-code ecosystems .

Data Engineering & Observability

• Build and maintain pipelines for high-volume telemetry data (metrics, logs, traces) .

• Ensure data quality, labelling, and feature engineering for ML models .

• Leverage observability tools to inform AI systems .

Reliability & Governance

• Define SLIs/SLOs for AI systems Embedded in infrastructure workflows .

• Ensure robustness, explainability, and auditability of AI-driven decisions .

• Implement feedback loops to continuously improve model performance .

AI-Driven SRE Enablement

• Develop ML/AI models for anomaly detection, incident prediction, and root cause analysis across distributed systems .

• Implement intelligent alerting systems to reduce noise and improve signal fidelity .

• Build predictive reliability models (eg, capacity forecasting, failure prediction).

? What?you'll?bring ? ? ?

Essential?criteria: ?

• Strong experience in AI engineering, particularly in operational or systems contexts .

• Practical experience of SRE principles (SLIs, SLOs, error budgets, incident management).

• Strong experience of cloud platforms .

• Proficiency in Python (or similar ). ?

Desirable'skills and?experience: ? ?

• Familiarity with LLMs for operational tooling (eg, incident summarization, runbook automation) .

• Experience building AIOps or autonomous operations platforms .

• Proven track record in reducing manual operational workload across SRE teams.

• Proven track record in reducing the Mean Time to Recovery (MTTR) through automated remediation. ?