Jobs in Delta, BC and nearby

Jobs within 25 km of Delta, BC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

21,424 listings · 3,683 employers Counted Sep 24, 2026. How we count

About these jobs

Employers hiring include Fraser Health (748 listings), Vancouver Coastal Health (674 listings), Provincial Health Services Authority (412 listings).

Common roles: Registered nurse, Retail sales associate, Software engineer.

3,891 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	82,891.00	1,751
CAD / hour	30.22	1,615
CAD / month	5,692.25	190
USD / hour	18.50	138
USD / year	90,000.00	77

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 21% hybrid, 79% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Delta, BC and nearby

Within 25 km

Email me new jobs Save this search

Added 1 day ago
Industrial Mechanical Superintendent
Hays
Vancouver, BC
Full-time
Added 1 day ago
Second Cook - Burnaby, BC
Dexterra
Burnaby, BC
Full-time
Added 1 day ago
Store Manager
GENTLE MONSTER
Vancouver, BC
$75,000 to $90,000 CAD / year
Full-time
Added 1 day ago
Cleaner
Cleantech Service Group
Vancouver, BC
$19 CAD / hour
Part-time
Added 1 day ago
Team Lead, Grocery
Save-On-Foods
Vancouver, BC
Full-time
Added 1 day ago
Research Assistant (Pre-Doc Intern)
University of British Columbia
Vancouver, BC
Full-time
Added 1 day ago
Senior Product Manager - Payments
Clio
Vancouver, BC
Full-time
Added 1 day ago
Coordinator, Business Development & Marketing
Borden Ladner Gervais LLP (BLG)
Vancouver, BC
Full-time
Added 1 day ago
Loss Prevention Store Investigator
The TJX Companies, Inc.
Surrey, BC
$44,197.5 to $61,876.5 CAD / year
Added 1 day ago
Software Engineer I - Co-op (Hub)
Planview Incorporated
Vancouver, BC
Added 1 day ago
Software Engineer I - CoOp (Anvi)
Planview Incorporated
Vancouver, BC
Added 1 day ago
Software Engineer I Co-op (Data Foundations)
Planview Incorporated
Vancouver, BC
Temporary
Added 1 day ago
Software Engineer I Co-op (FlowPlatform Team)
Planview Incorporated
Vancouver, BC
Added 1 day ago
Software Engineer I Co-op (Portfolio Intelligence Team)
Planview Incorporated
Vancouver, BC
Added 1 day ago
Central Fill Regulated Pharmacy Technician Full Time
London Drugs Limited
Richmond, British Columbia
$27 to $30.5 CAD / hour
Full-time · Other
Added 1 day ago
Mental Health Nurse (RN/RPN)
Vancouver Coastal Health
Richmond, BC
$41.42 to $55.91 CAD / hour
Temporary
Added 1 day ago
Food Service Worker - Casual/On-Call
Vancouver Coastal Health
Vancouver, BC
$25.82 CAD / hour
Other
Added 1 day ago
Adult Job Developer, Gastown Vocational Services (Employment Services)
Vancouver Coastal Health
Vancouver, BC
$30.2 to $31.64 CAD / hour
Full-time
Added 1 day ago
Intake and Transition Nurse, Primary Care (RN/RPN) - Intensive Health Outreach Team (IHOT)
Vancouver Coastal Health
Vancouver, BC
$41.42 to $55.91 CAD / hour
Temporary
Added 1 day ago
Booking Clerk/Secretary (Office Admin), Mary Pack Arthritis Program
Vancouver Coastal Health
Vancouver, BC
$28.74 CAD / hour
Full-time
Added 1 day ago
Recreation Therapist - Bachelor's Degree
Vancouver Coastal Health
Vancouver, BC
$40.19 to $50.2 CAD / hour
Other
Added 1 day ago
Registered Nurse (RN) / Registered Psychiatric Nurse (RPN) - Long Term Care
Vancouver Coastal Health
Richmond, BC
$41.42 to $55.91 CAD / hour
Part-time
Added 1 day ago
Mental Health and Addictions Outreach Nurse (RN/RPN) - Intensive Health Outreach Team (IHOT)
Vancouver Coastal Health
Vancouver, BC
$41.42 to $55.91 CAD / hour
Temporary
Added 1 day ago
Portfolio Manager
Fraser Health
Surrey, BC
Full-time
Added 1 day ago
Medical Aesthetician
Nexx MD Vancouver
Vancouver, BC
Full-time

Ema

Software Engineer, Machine Learning

Vancouver, BC, Canada

Pay: The standard base salary for this position is $160,000 to $220,000 annually.
Job type: Full-time
Experience: At least 2 years of industry experience in building and deploying production-level machine learning models.
Posting language: English
Posted: Sep 22, 2026

Apply About employer

Applications open in a new tab.

Original job description

About Ema

Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.

We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production - we ship real systems that run real business processes at scale.

Who You Are

We're looking for innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related spaces. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact.

You Will

Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems.
Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems.
Process and analyze large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models.
Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.

Minimum Qualifications

A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
At least 2 years of industry experience in building and deploying production-level machine learning models.
Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.
Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems.
Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.

Ideally, You'd Have

Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.
Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.
Familiarity with cloud platforms like GCP or Azure.
Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects.
Good understanding of software development principles, data structures, and algorithms.
Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
The ability to work collaboratively in an extremely fast-paced, startup environment.

For California Based Candidates

The standard base salary for this position is $160,000 to $220,000 annually.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Apply About employer

More about this job

Responsibilities

You will conceptualize, develop, and deploy machine learning models for NLP, retrieval, and reasoning systems. Additionally, you will manage the full ML lifecycle, including data exploration, model training, validation, and deployment.

Requirements

Candidates must hold a Master’s degree or Ph.D. in a quantitative field and have at least 2 years of industry experience in production-level machine learning. Proficiency in Python and deep understanding of NLP and large language models are required.

Skills

Machine Learning
Natural Language Processing
Python
TensorFlow
PyTorch
Transformer-based models
Reinforcement learning
Agent-based systems
SQL
ETL
Data warehousing
MLOps
Cloud platforms
GCP
Azure
Information retrieval

Benefits

Variable compensation
Equity

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Agentic AI
Natural Language Processing
Python
TensorFlow
PyTorch
Transformer
Reinforcement Learning
Ensemble Learning
Agent-based systems
SQL
ETL
Data Warehousing
MLOps
GCP
Azure
Information Retrieval
Ranking
Reasoning
Code-generation
A/B Testing
Statistical methods
Data structures
Algorithms
Startup
Enterprise productivity
Software Engineering
Model lifecycle management
Feature engineering
Deployment

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