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Member of Technical Staff, Machine LearningBJAK · United Kingdom
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BJAK

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Member of Technical Staff, Machine Learning

🗓️ Posted 2026-08-04 United Kingdom Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 4,500 GBP–6,500 GBP/mo

About the Company

BJAK Sdn Bhd (Company No. 201901030483 (1339813-K) Our mission is to develop technology based solutions to improve financial inclusion. We develop new & innovative platforms & services globally. For example, we are the first platform to simplify and digitise comprehensive life and medical insurance, supported by AI agent. BJAK is the largest insurance platform in Southeast Asia. If you enjoy building cutting edge platform-ecosystems that gives equal access to financial services to everyone at scale, join us. Software Development Specialties: fintech

Responsibilities

  • ● There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.
  • ● Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Our objective is to help users complete tasks daily enjoyable with over 90% reduced time.
  • ● As a Member of Technical Staff, Machine Learning, you will build core ML components. You will work on real production systems from day one, learning how large-scale ML behaves outside of research settings.
  • ● This role is for engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML.
  • ● Build and improve ML components across data, training, evaluation, and inference.
  • ● Fine-tune and adapt models as part of larger production systems.
  • ● Implement evaluation and testing to understand model behavior.
  • ● Help build and maintain data pipelines for real-world and synthetic data.
  • ● Debug model issues, performance problems, and production incidents.
  • ● Ship improvements iteratively and learn from real user feedback.
  • ● Work closely with senior ML engineers and product teams.
  • ● Work under real production constraints: latency, cost, reliability, and safety
  • ● PyTorch / JAX
  • ● Production ML systems running on GPUs
  • ● IDEAL EXPERIENCE
  • ● Strong foundations in machine learning and modern neural architectures.
  • ● Some hands-on experience training, fine-tuning, or deploying ML models.
  • ● Comfortable writing production-quality code and learning new tools quickly.
  • ● Curious, coachable, and eager to learn from real systems in production.
  • ● Able to work through ambiguity with guidance and grow ownership over time.