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Salary
≈ $53k – $153k per year (Estimated)
Location
In office (Abu Dhabi)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Aug 21, 2026. Salt scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Founded in 2009, Salt is a global digital talent, recruitment, and workforce consultancy specializing in technology, creative, marketing, and sales staffing. Headquartered in London, United Kingdom - with an international network of offices spanning North America, Europe, Asia-Pacific, and Latin America - the agency serves fast-scaling startups, mid-market companies, and multinational enterprises. Through its permanent and contract recruitment models, recruitment process outsourcing (RPO), nearshore/offshore talent delivery (Salt: Labs), and strategic HR advisory services, it enables organizations to build, scale, and manage high-performing teams across AI, technology, and digital transformation initiatives.

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Applications are now closed.

Machine Learning Engineer

Ref: JO-2608-362896

  • Environment:

    In-office

  • Contract Type:

    Contract

  • Starts:

    2026-12-01

We are working on a brand-new project, which is an Innovation Hub/Ai Lab.

Requirements:

  • 3-7 years’ experience building production-grade, scalable AI/ML systems.
  • Very strong Python + ML engineering capability.
  • Experience with supervised/unsupervised ML, deep learning, NLP, Computer Vision and/or GenAI/LLMs - you don’t necessarily need every area but should have genuine depth.
  • Building end-to-end ML pipelines: ingestion → transformation → training → validation → deployment.
  • Production model serving and APIs using FastAPI / Flask.
  • Strong ML system architecture understanding.
  • Experience with real-time and/or batch inference and model performance optimisation.
  • Knowledge of Docker, Kubernetes and CI/CD.
  • Exposure to MLflow and/or Kubeflow for lifecycle management.
  • Deployment onto AWS or Azure.
  • Experience training/deploying traditional ML, neural networks and Agentic AI models.
  • Ideally experience fine-tuning SLMs/LLMs and building more complex AI architectures

Salt is acting as an Employment Business in relation to this vacancy.

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