Media AI Technologist - 12 Month FTC

Responsibilities

• Idea to PoC Translation (Media Ops-first)
• Partner with Content Innovation leads, Media Operations, Editorial/Creative, and Product/Engineering stakeholders to capture "napkin ideas" and distil them into testable problem statements grounded in real workflows.
• Translate high-level goals into user journeys, user stories, acceptance criteria, and measurable PoC success metrics (accuracy, latency, cost, operator time saved, exception rate, confidence/coverage).
• Define the data and evaluation plan for video understanding use-cases (ground truth, sampling strategy, edge cases, failure taxonomy).
• Rapid Demo & PoC Delivery (Video Understanding + Agents)
• Design lightweight scopes centred on the single most persuasive demo that proves or disproves the riskiest assumptions.
• Build and iterate PoCs in 2-6 week cycles using AI video understanding techniques (multimodal models, speech-to-text, scene/shot detection, OCR, entity/event extraction, semantic search, summarisation, policy/brand checks).
• Develop agentic workflows that can plan, call tools, and execute multi-step media tasks (e.g., "ingest → analyse → enrich metadata → flag risks → route exceptions → generate operator pack").
• Assemble "thin-slice" experiences that integrate into how Media Ops actually works (queues, triage dashboards, operator review loops, audit trails).
• Own end-to-end delivery: hands-on coding, stitching together cloud services and off-the-shelf components
• Continuous Improvement in Media Ops (From demo to durable capability)
• Instrument PoCs with meaningful telemetry and feedback loops (precision/recall, human override rate, time-to-resolution, drift monitoring).
• Drive a continuous improvement cycle : error analysis, prompt/model/tool refinement, evaluation set expansion, and operational playbooks.
• Design for operational realities: robustness, explainability, safety guardrails, cost controls, and graceful degradation when confidence is low.
• Technical Validation & Storytelling
• Analyse results and present evidence-based outcomes to stakeholders-what worked, what didn't, why, and what's next.
• Craft demo narratives that resonate with business leadership and creatives alike; ensure "something is always on screen" during read-outs (live demo, side-by-side comparisons, operator workflow walkthroughs).

Requirements

• Media intelligence / video understanding foundation: Experience building systems that interpret video and audio (ASR, OCR, vision-language models, content classification, event/entity extraction, semantic retrieval) and translating model outputs into usable operational signals.
• Agent build undestanding: Familiarity with agent patterns (tool use, planning, orchestration, memory/state, evaluation), and designing human-in-the-loop controls for reliability in operational workflows.
• Technical depth: Master's degree (or equivalent experience) in Computer Science, Engineering, or related field; strong grasp of GenAI stacks and cloud architectures (AWS/GCP/Azure).
• Full-stack bias for action: Comfortable moving from API design to UI prototypes to pipelines/DevOps to get a working demo in front of stakeholders quickly.
• Lean & Agile delivery: Proven use of design thinking, story mapping, Kanban/Scrum in ambiguous environments; ability to cut scope while increasing learning speed.
• The Rewards:
• There's a reason people can't stop talking about #LifeAtSky . Our great range of rewards really are something special, here are just a few:
• Sky Q, for the TV you love all in one place
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• Access a wide range of exclusive Sky VIP rewards and experiences
• How you'll work:
• At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office.
• The hybrid working expectations for this role are 3 days in the office per week. Osterley office.
• Your offic

Benefits

Additional Information

Sky's Content Technology & Innovation (CT&I) division is re-imagining how great ideas become real value delivered-especially in the day-to-day reality of media operations. To shorten the distance from concept to "something on-screen," we're creating an Innovation Technologist role focused on Media Intelligence (video understanding) and Media agent build: rapidly proving how AI can understand, enrich, and automate media workflows, then continuously improving those capabilities in production-like contexts. You'll own the rapid validation pipeline-turning early-stage ideas into crisp technical requirements, shaping lean product scopes, and building hands-on prototypes (2-6 week cycles) that demonstrate real impact across content workflows (e.g., compliance, QC, metadata enrichment, highlight extraction, content discovery, and operational triage). This position is an excellent fit for a recent graduate looking to start a tech career in a brilliant media company.

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