
B2B • SaaS • Recruitment
Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.
51 - 200 employees
🤝 B2B
☁️ SaaS
🎯 Recruiter
October 21

B2B • SaaS • Recruitment
Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.
51 - 200 employees
🤝 B2B
☁️ SaaS
🎯 Recruiter
• Sit at the intersection of analytics, machine learning, and data engineering—owning insight generation, model operations, and productised data solutions. • Improve existing AI models in production and develop new ones, covering the full lifecycle: specifying, developing, testing, analysing, and refining. • Conduct hypothesis-led analysis over large datasets to uncover trends and craft narratives. • Build and maintain industry benchmark datasets and deliver actionable Power BI reports for clients and internal stakeholders. • Own performance dashboards, operational processes, model version control, and experiment tracking.
• 5+ years — Python (pandas, NumPy, scikit-learn). • 4+ years — Databases & LLM familiarity: PostgreSQL and DynamoDB (or equivalent), familiarity with LLM concepts and evaluation methods. • 4+ years — Power BI & Excel stack: Power BI (data models, DAX), Power Query (M), and advanced Excel (pivots, complex formulas); other BI suites acceptable only with strong Excel experience. • 4+ years — Data warehousing & ETL. • 3+ years — Cloud data services & ML Ops tooling: exposure to AWS/Azure and ML Ops tools (feature store, experiment tracker, model registry, monitoring); GCP experience may be considered as a substitute. • Working style — Self-sufficient; ideally has led self-contained aspects of a project.
• Genuine community that values your growth and well-being. • Welcomed into a culture that celebrates integrity, excellence, and ambition. • Opportunity to connect with outstanding global teams and products for full-time, long-term roles.
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