Jobs in Canada

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Added 1 day ago
RC
AML Developer IV
Randstad Canada
Toronto, ON
- $79.61 to $94.64 CAD / hour
- Contract
Work Arrangement: Hybrid (3 days per week on-site: Anchor days in Markham/Toronto corporate offices; subject to future operational adjustments)
Added 1 day ago
RC
Senior Software Engineer - Python or Go, Data, Hybrid
Randstad Canada
Toronto, ON
- $117,000 to $160,000 CAD / year
- Full-time
This is a fulltime permanent position and hybrid in Toronto, 2 days per week onsite
Added 1 day ago
Senior Data Developer
Thedataco
Westmount, QC
We are looking for a Senior Data Developer who will own the technical backbone of our platform: our dbt transformation layer, our Looker semantic layer, and the integrations that feed them.…
Added 1 day ago
Senior Full Stack Developer
Blurb
Calgary, AB
As a Senior Full Stack Developer, you will be a core contributor to the platform that makes content at scale possible. You will architect, build and maintain systems that handle high volume…
Added 1 day ago
A
Data Science & AI Delivery Lead
AXIS
Halifax, NS
- Full-time
…to our competitive advantage. The Data Science & AI Delivery Lead is a key leadership role within this team, acting as the deputy to the Head of Data Science & AI Delivery and ensuring the…
Added 1 day ago
HT
Senior AI Research Engineer
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
- Full-time
- On-site
Develop and lead projects, team ideas, and mentor junior engineers.
Added 1 day ago
HT
Co-op Researcher - AI Computing System
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
- $56,000 to $79,000 CAD / year
- Internship
- On-site
1) Solid programming foundation, familiar with Python/C/C++ programming languages, good architecture design and programming habits
Added 1 day ago
AW
Principal, S2 Workforce Strategy and Intelligence Lead
Arctic Wolf Networks, Inc.
Waterloo, ON
- Full-time
Our mission is simple: End Cyber Risk. We’re looking for a Principal, S2 Workforce Strategy and Intelligence Lead to be part of making that happen.
Added 1 day ago
GI
Expert Data Science Developer
GIRO Inc. / Le Groupe en informatique et recherche opérationnelle
Montréal, QC
- Full-time
…action, advances our impact around the world. Join us and let’s lead the way forward,…
Added 1 day ago
UT
Développeur(se) principal(e), Opérations de sécurité et intervention en cas d’incident / Senior Security Operations and Incident Response Engineer
Unity Technologies SF
Montréal, QC
- Full-time
Our SecOps team is seeking a senior, hands-on security engineer to serve as the team’s technical lead during Americas hours.
Added 1 day ago
Cloud Automation & AI Architect
Open Text Corporation
Waterloo, ON · Richmond Hill, ON · Mississauga, ON
As a Lead Automation Architect, you will establish the technical foundation of this initiative designing architectures, frameworks, and reusable patterns that empower teams to build…
Added 1 day ago
Application Segmentation Engineer
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
Added 1 day ago
Senior IAM Engineer (Ping Identity/CIAM), Global Deloitte Technology
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
Added 1 day ago
Architect Manager (2-year Fixed Term), Deloitte Global Consulting Services
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
Added 1 day ago
Cyber Agentic AI Analyst, Deloitte Global Technology
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
Added 1 day ago
Manager, Actuarial Insurance Solutions (AIS) - Life & Health (Toronto)
Deloitte
Toronto, ON
Lead engagement teams on projects including IFRS 17, advanced analytics, Robotics Process Automation (RPA), and actuarial transformation.
Added 1 day ago
Technical Product Manager, Deloitte Global CoRe
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
Added 1 day ago
Application Security Analyst, Deloitte Global Technology
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
Added 1 day ago
AM
Diagnostics Software/Hardware Technical Lead
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…earlier in the production lifecycle. We are seeking a visionary Lead/Principal Diagnostics Engineer to drive our shift from proven post-silicon software validation frameworks and…
Added 1 day ago
PG
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Groupe Holdings B.V
Toronto, ON
- Full-time
…to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital transformation projects. Working with the latest data and AI…
Added 1 day ago
C-
Senior Software Engineer
Canada - Genesys Cloud Services Corp.
ON
- Full-time
Lead exploratory testing initiatives and user-focused validation to improve real-world customer experience and usability
Added 1 day ago
Software and Hardware Senior Engineering Specialist (SWEL)
Bombardier
Dorval, QC
Registration is required
Added 1 day ago
Aircraft Level Systems Engineering Professional Senior, Conceptual System Design
Bombardier
Dorval, QC
…Product Integration (aircraft architecture) team, you will play a lead role in developing and governing the company’s system-level conceptual design and sizing tools. You will be…
Added 1 day ago
Associate - Generalist - Montreal / Toronto (2027 Start Date) | Responsable de projets - Généraliste - Montréal / Toronto (Date de début 2027)
Analysis Group, Inc.
Montréal, QC · Toronto, ON
Candidates must have valid post-graduation work authorization to join the firm
Added 1 day ago
H
Staff Engineer, Applied AI
Headstart
Toronto, ON
- $265,000 USD / year
- Full-time
- Hybrid
- Operate as technical lead on complex and ambiguous client engagements end-to-end, from ideation and discovery through to production

Data Science & AI Delivery Lead

Halifax, NS, Canada

For this position, we currently expect to offer a base salary in the range of $175,000 - $200,000 USD (New York, NY), $110,000 - $130,000 CAD (Halifax, Nova Scotia) Your salary offer will be based on an assessment of a variety of factors including your specific experience and work location. · Full-time

Apply on axiscapital.wd1.myworkdayjobs.com About employer

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Job details

Pay: For this position, we currently expect to offer a base salary in the range of $175,000 - $200,000 USD (New York, NY), $110,000 - $130,000 CAD (Halifax, Nova Scotia) Your salary offer will be based on an assessment of a variety of factors including your specific experience and work location.
Job type: Full-time
Posting language: English
Posted: Aug 12, 2026

Original job description

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry.

At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work.

All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.

How does this role contribute to our collective success?

Data and analytics are of critical importance for AXIS. Simply put, we want to turn data into information, that can be used to:

Enable decisions to be made with confidence, based on information not just intuition.
Be more proactive, using information to identify new opportunities, and getting to them before our competitors.
Realize cost savings, finding ways to make processes more efficient, enabling our people to focus on using their skills to further add business value.

This team is working to transform the way in which we do business and to enable us to effectively leverage the latest AI advancements to our competitive advantage. The Data Science & AI Delivery Lead is a key leadership role within this team, acting as the deputy to the Head of Data Science & AI Delivery and ensuring the smooth day-to-day running of AI delivery operations.

The Data Science & AI Delivery Lead is the technical delivery leader for AI, machine learning, and advanced analytics solutions. This role owns technical execution, engineering standards, solution architecture, deployment quality, and production delivery of AI capabilities. This role focuses on how solutions are designed, built, deployed, and scaled.

What will you do in this role?

The Data Science & AI Delivery Lead acts as the right hand to the Head of Data Science & AI Delivery, taking ownership of the day-to-day execution and coordination of data science and AI delivery across strategic projects and standalone use cases. You will play a hands-on leadership role - driving technical delivery, managing workstreams, and stepping in for the Head of when required.

This is not a purely managerial role. You will be expected to work directly in the codebase, review and shape technical designs, and maintain deep fluency with the tools and techniques the team uses daily. Working closely with the Head of, you will ensure projects are delivered to a high standard, on time, and with strong stakeholder engagement.

In this role you will be responsible for:

Day-to-Day Delivery Leadership: Own the operational running of AI delivery workstreams, ensuring the team is focused, unblocked, and delivering against priorities. Act as the primary point of escalation when the Head of is unavailable. Own technical execution across all AI delivery workstreams. Lead architectural decisions, technical design reviews, implementation approaches, and production readiness reviews. Establish engineering standards, patterns, reusable frameworks, and delivery best practices.
Project Management: Own technical delivery accountability from concept through production. Ensure solutions meet security, governance, scalability, explainability, and operational support standards.
Technical Oversight & Contribution: Provide technical guidance on solution design, model selection, and architecture decisions, ensuring the team is taking the right approach for each use case.
Review code and technical outputs to maintain quality standards and contribute hands-on to Python-based development when needed, particularly during critical delivery phases or proof-of-concept work.
Support the design and delivery of Generative AI solutions, including RAG architectures, prompt engineering, and integration with Azure AI services (e.g., Azure OpenAI, Azure AI Search).
Ensure robust MLOps practices are followed, including model versioning, testing, deployment pipelines, and monitoring of deployed solutions for performance and drift.
Champion engineering best practices across the team, including code review standards, documentation, version control (Git), and a clear separation between experimentation and production-ready code.
Technical Strategy & Architecture: Own AI solution architecture and technical design standards. Define engineering approaches for LLM applications, agentic systems, machine learning solutions, and AI platforms. Lead evaluation of emerging AI technologies and determine appropriate adoption. Establish standards for MLOps, AI observability, model lifecycle management, and responsible AI implementation.
Collaboration: Work closely with AXIS's Business Technology Solutions for solution architecture and delivery, and with the Program Office for planning deliveries, providing timelines, cost estimates, and status updates. Partner with Data Engineering to ensure data pipelines and lakehouse structures support AI delivery needs.
Team Development: Support the Head of Data Science & AI Delivery in leading and developing a growing team of Data Scientists and AI Engineers, fostering a culture of excellence, collaboration, and continuous learning. Mentor and coach team members through hands-on pairing, structured code reviews, and knowledge-sharing sessions on emerging techniques and tools. Provide hands-on coaching through architecture reviews, code reviews, pair programming, model reviews, and technical mentoring. Maintain technical credibility as a practitioner leader who remains actively involved in delivery.
Resource & Capacity Planning: Support the Head of in tracking the project pipeline, estimating costs (including cloud computing and API consumption), and managing resource allocation to ensure the team is effectively deployed against priorities.
Technology Vision: Stay current with the rapidly evolving AI landscape, including new foundation models, open-source frameworks, vector databases, orchestration tools (e.g., LangChain, Semantic Kernel), and evaluation methodologies. Bring new ideas to the team and lead proof-of-concept development to assess feasibility and value.
Deputising: Represent the Head of Data Science & AI Delivery in meetings, steering groups, and stakeholder forums as required, ensuring continuity of leadership and communication.

You may also be required to take on additional duties, responsibilities, and activities appropriate to the nature of this role. This role reports to the Head of Data Science & AI Delivery.

About You:

We encourage you to bring your own experience and expertise to the table so, while there are some qualifications and experiences we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals.

What you need to have:

Demonstrable experience delivering AI/ML solutions in a professional environment, with a track record of taking projects from concept through to production.
Strong technical knowledge, including expert-level Python proficiency and experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow).
Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing.
Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector search.
A solid understanding of MLOps principles, including CI/CD for models, automated testing, and monitoring of deployed solutions.
Cloud platform experience, preferably Azure, including services such as Azure OpenAI, Azure Machine Learning, or Azure AI Search.
Experience managing or leading technical delivery teams while remaining hands-on, with a track record of fostering a positive, high-performing team culture.
Excellent communication skills and the ability to translate complex technical concepts for business stakeholders.
Strong project management skills, including resource estimation, progress tracking, and meeting deadlines in a fast-paced, multi-priority environment.
A proactive, problem-solving mindset with the ability to operate independently and step up into a leadership vacuum when needed.

What we prefer you have:

Experience with advanced NLP techniques beyond prompt engineering, including fine-tuning and evaluation frameworks for generative models.
Experience working in the (re)insurance industry, with an understanding of underwriting, claims, or actuarial data.
Knowledge of responsible AI practices, including bias detection, explainability, and fairness testing.

Role Factors:

In this role, you will typically be required to:

Attend your local office at least three (3) days per week to meet and build relationships with colleagues and the wider business.
Engage in company activities to grow your network and build a strong team culture.

What we offer:

In addition, you will be offered competitive target incentive compensation, with awards based on overall corporate and individual performance. On top of this, you will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid vacation, and much more.  

Where this role is based in the United States of America, this role is Exempt for FLSA purposes.

This posting is for an existing vacancy.

Apply on axiscapital.wd1.myworkdayjobs.com About employer

More about this job

Responsibilities

The Data Science & AI Delivery Lead will run day-to-day AI delivery, set technical standards and architecture, review code and designs, and take the solutions from concept to production. The role also mentors data scientists and AI engineers and reports progress and costs to stakeholders.

Requirements

Candidates need proven experience delivering AI/ML solutions to production, expert Python skills, and practical Databricks, MLflow and Spark experience. They also need GenAI knowledge (LLMs, RAG, vector search), MLOps, Azure cloud experience, and leadership of technical teams.

Skills

Python
scikit-learn
pandas
PyTorch
TensorFlow
Databricks
MLflow
Spark
Azure OpenAI
Azure Machine Learning
Azure AI Search
Retrieval-augmented generation (RAG)
Prompt engineering
Vector databases
LangChain
Semantic Kernel
Git
CI/CD for models
Model monitoring and drift detection
Solution architecture
Technical design review
Team leadership and mentoring
Project management
Resource and cost estimation
Stakeholder communication

Keywords

AI delivery lead
Data Science
AI
machine learning
Python
Databricks
MLflow
Spark
scikit-learn
pandas
PyTorch
TensorFlow
Azure OpenAI
Azure Machine Learning
Azure AI Search
RAG
LLM
prompt engineering
vector search
MLOps

Seniority

Lead

Tools

Python
Databricks
MLflow
Spark
Azure OpenAI
Azure Machine Learning
Azure AI Search
Git

Languages

English

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Work requirements

Jobs in Canada