Artificial Intelligence jobs in United Arab Emirates

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Open Talent

slough, United Kingdom

Other

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3

10.06.2025

25.07.2025

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Location: London (Hybrid, 1-2 days/week)

Salary: Up to £100,000

Hybrid: (2 days in Central London) + 6 weeks abroad annually

Eligibility: Must be UK-based with full right to work

Build What Gets Used. Fast.

Join an international HealthTech product team building tools for complex, high-volume systems. You’ll be responsible for everything from LLM features & data pipelines to deployment and monitoring. Everything you build will be used in production from day one.

You'll build & ship, fast.

You’ll work on retrieval pipelines, model orchestration, backend APIs & observability. The stack includes OpenAI, Claude, Mistral & open-source models - whichever solves the problem best.

What We’re Looking For

• 5+ years in backend, ML, or infrastructure roles, ideally in product-focused teams
• Proven track record of shipping model-driven features into live production
• Hands-on across the full lifecycle: data ingestion, training, deployment, monitoring
• Strong judgement around trade-offs - speed, cost, and system reliability
• Works well in fast-moving environments with little hand-holding or overhead

What You’ll Do

• Build and deploy retrieval-augmented generation (RAG) pipelines using LangChain and custom embeddings
• Design and maintain FastAPI services powering LLM workflows used daily by real customers
• Own the full MLOps lifecycle: from training and fine-tuning to deployment, monitoring, and rollback
• Optimise inference latency and cost across OpenAI, Claude, Mistral, and open-source models
• Collaborate with a tight-knit team of engineers, product leads, and domain experts to ship fast and iterate often

Why Join?

• Everything you build gets shipped - tools are already being used by real clinical teams across Europe
• They've launched 3 LLM-powered products in the past 12 months, including triage support & summarisation tools
• 2025 roadmap includes greenfield builds: real-time clinical insights & an AI assistant for care teams
• Small, engineering-led team where you’ll move fast and own what you build
• Flexible hybrid setup, strong salary & a product with real-world impact

Interview Process (2 weeks)

• 30-min intro
• 1-hour technical deep dive
• 90-min take-home
• Final call with CTO & Head of Data

Please apply immediately to avoid missing out.

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