3 months ago

Principal Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Lead the design and delivery of production-grade ML systems for a proactive AI platform. Own end-to-end pipelines from data, training, evaluation to deployment, optimize GPU usage and latency, and collaborate with backend/mobile/desktop teams to ship zero-to-one ML capabilities under real production constraints.

Location: London

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Build and own end-to-end ML pipelines spanning data, training, evaluation, inference, and deployment.
•Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
•Architect and operate scalable inference systems, balancing latency, cost, and reliability.
•Design and maintain data systems for high-quality synthetic and real-world training data.
•Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.

Key Requirements

•Strong background in deep learning and transformer-based architectures.
•Hands-on experience training, fine-tuning, or deploying large-scale ML models in production.
•Proficiency with at least one modern ML framework (e.g. PyTorch, JAX), and ability to learn others quickly.
•Experience with distributed training and inference frameworks (e.g. DeepSpeed, FSDP, Megatron, ZeRO, Ray).
•Strong software engineering fundamentals – you write robust, maintainable, production-grade systems.

Experience:Artificial intelligenceMachine learningSoftware engineering

Skills:OwnershipProblem-solvingCollaborationCommunicationAttention to detail

Tech Stack:PyTorchJAXDeepSpeedFSDPMegatronZeRORayVLLMTensorRT-LLMFasterTransformerApache ArrowSpark

Company Brief

BJAK

Bjak is a Malaysia-based insurtech that operates an online insurance comparison and distribution platform across SEA, simplifying purchase and servicing of motor and life insurance using digital tools and AI-enabled services.

Industry: InsurTech

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Selangor, Malaysia

Founded: 2019

Glassdoor: 2.5

Website LinkedIn Glassdoor

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BJAK

3 months ago

Principal Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: London

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Build and own end-to-end ML pipelines spanning data, training, evaluation, inference, and deployment.
•Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
•Architect and operate scalable inference systems, balancing latency, cost, and reliability.
•Design and maintain data systems for high-quality synthetic and real-world training data.
•Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.

Key Requirements

•Strong background in deep learning and transformer-based architectures.
•Hands-on experience training, fine-tuning, or deploying large-scale ML models in production.
•Proficiency with at least one modern ML framework (e.g. PyTorch, JAX), and ability to learn others quickly.
•Experience with distributed training and inference frameworks (e.g. DeepSpeed, FSDP, Megatron, ZeRO, Ray).
•Strong software engineering fundamentals – you write robust, maintainable, production-grade systems.

Experience:Artificial intelligenceMachine learningSoftware engineering

Skills:OwnershipProblem-solvingCollaborationCommunicationAttention to detail

Tech Stack:PyTorchJAXDeepSpeedFSDPMegatronZeRORayVLLMTensorRT-LLMFasterTransformerApache ArrowSpark

Company Brief

BJAK

Industry: InsurTech

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Selangor, Malaysia

Founded: 2019

Glassdoor: 2.5

Website LinkedIn Glassdoor