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Machine learning Jobs in New Westminster, BC
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Machine learning • new westminster bc
- Promoted
AI / Machine Learning Lead [Riyadh]
Talent SeedGreater Vancouver Metropolitan Area, Canada- Promoted
Machine Learning Software Engineer - GPU / NPU
Huawei Technologies Canada Co., Ltd.Burnaby, Metro Vancouver Regional District, CASenior Machine Learning Engineer
InstacartCanada (AB, BC, ON, NS ONLY)- Promoted
Machine Operator
Vitacore IndustriesPort Coquitlam, BC, Canadamachine fitter
CIMTECH GREEN ENERGY MFG INCSurrey, BC, CA- Promoted
Machine Operator (Truck Driver)
Targeted TalentDelta, BC, Canada- Promoted
Senior ML Engineering Leader — Build Scalable AI / ML Systems
Remitly, Inc.Burnaby, Metro Vancouver Regional District, CA- Promoted
Learning Management System Administrator
RB Global Inc.Burnaby, Metro Vancouver Regional District, CA- Promoted
Machine Learning Specialist
Intello Technologies Inc.Burnaby, Metro Vancouver Regional District, CA- Promoted
Machine learning engineer
Nexlify SolutionsCoquitlam, Metro Vancouver Regional District, CA- Promoted
Service Learning Student Assistant
Kwantlen Polytechnic UniversitySurrey, British Columbia, Canada- Promoted
Machine Learning Engineer II
Remitly Inc.Burnaby, Metro Vancouver Regional District, CA- Promoted
Process Machine Operator I
SunOpta Inc.North Vancouver, Metro Vancouver Regional District, CA- Promoted
Machine-ENLearning-ENSpecialist-EN
TELUSBurnaby, Metro Vancouver Regional District, CALearning and Development Analyst
CB CanadaBurnaby, British Columbia, CanadaSenior Machine Learning Developer
TantalusBurnaby, British Columbia, Canada- Promoted
Early Learning Centre Manager
Poco Village Early Learning Centre Ltd.Port Coquitlam, Metro Vancouver Regional District, CA- Promoted
Senior Manager, Tax Learning
KPMG CanadaBurnaby, Metro Vancouver Regional District, CAMachine Learning Engineer II
RemitlyBurnaby, British Columbia, Canada- Victoria, BC (from $ 38,805 to $ 235,640 year)
- Thunder Bay, ON (from $ 145,000 to $ 235,400 year)
- Ottawa, ON (from $ 93,783 to $ 230,510 year)
- North Bay, ON (from $ 140,000 to $ 225,500 year)
- Sainte-Anne-de-Bellevue, QC (from $ 129,022 to $ 218,677 year)
- Kitchener, ON (from $ 105,500 to $ 213,398 year)
- Waterloo, ON (from $ 141,000 to $ 206,795 year)
- Waterloo, QC (from $ 141,000 to $ 206,795 year)
- Bradford West Gwillimbury, ON (from $ 95,000 to $ 203,692 year)
- Quinte West, ON (from $ 95,000 to $ 203,692 year)
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AI / Machine Learning Lead [Riyadh]
Talent SeedGreater Vancouver Metropolitan Area, Canada- Full-time
This role requires relocation to Riyadh.
You’ll shape the technical direction and bring ambitious AI concepts to life, turning prototypes into scalable, reliable products that power next-generation customer experiences. Working closely with engineers, tech leads, and the CTO, you’ll design systems that combine cutting-edge AI, strong infrastructure, and human-centred design.
You’ll build intelligent assistants that process live conversations, extract structure from unorganised data, and surface real-time insights. You’ll develop anomaly detection and novelty discovery pipelines that blend classical time-series methods with LLM-driven context awareness.
You’ll take ownership of reliability, latency, and cost, building robust RAG pipelines, managing GPUs, and operating scalable cloud infrastructure. Collaboration is key, and you’ll integrate AI systems across products, partner with CX and product teams, and communicate impact clearly through metrics and demos.
You’ll be a great fit if you have :
- A builder’s mindset — you self-start, break silos, and own projects from prototype to production.
- 6+ years of building production ML or backend systems
- Expert Python skills and strong backend foundations (FastAPI, gRPC, Postgres, streaming / pub-sub).
- Proven experience with agent frameworks (ADK or similar) and retrieval-augmented generation (RAG) pipelines.
- Deep understanding of LLM prompting, retrieval design, evaluation , and time-series analysis (forecasting, drift, change-point detection).
- Cloud proficiency across GCP, AWS, or Azure — including networking, autoscaling, CI / CD, IaC, observability, and cost optimisation.
- Comfort with AI-native dev tools such as Cursor, v0, or Claude Code.
- Clear communication — you write concise docs, align teams, and make complex results understandable.