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Added 3 hours ago
AS
AI Developer
AgileGrid Solutions
Canada
- Full-time
We're seeking a highly skilled and innovative Senior AI Developer to join our expanding team at Intact Financial. This role offers an exciting opportunity to contribute to cutting-edge AI…
Added 5 hours ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 22 hours ago
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Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
…deep expertise in machine learning systems, generative AI, MLOps , and platform architecture to shape company-wide technical strategy and design of the enterprise AI platform and services,…
Added 1 day ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Implement CI/CD pipelines, Infrastructure-as-Code, and MLOps/LLMOps best practices.
Added 1 day ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 1 day ago
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Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
Added 1 day ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Apply MLOps practices to streamline machine learning workflows.
Added 1 day ago
C
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Toronto, ON · Ottawa, ON · Montreal, QC
- Full-time
Added 1 day ago
JG
FORWARD DEPLOYEMENT ENGINEER
J&M Group
Canada
- Full-time
Experience implementing and operationalizing MLOps / LLMOps capabilities including model lifecycle management, CI/CD pipelines, MLflow, monitoring, deployment automation, rollback, and…
Added 1 day ago
JG
AI Developer
J&M Group
Canada
- Full-time
Expertise in implementing MLOps and LLMOps practices, including model lifecycle management, CI/CD pipelines, performance monitoring, and rollback mechanisms.
Added 1 day ago
KG
Principal Data Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Added 1 day ago
O
Développeur(se) solutions analytiques intermédiaire
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Assurer la qualité, la performance et la stabilité des solutions développées à l’aide de tests automatisés et de pratiques DevOps/MLOps;
Added 1 day ago
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Développeur(se) solutions analytiques intermédiaire
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Assurer la qualité, la performance et la stabilité des solutions développées à l’aide de tests automatisés et de pratiques DevOps/MLOps;
Added 2 days ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Toronto, ON · Montreal, QC · ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 2 days ago
A
Senior Product Manager, Data Platform
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
4+ years in product management, including infrastructure or platform products at scale such as data platforms, cloud infrastructure, or developer tooling
Added 2 days ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 2 days ago
A
Senior Product Manager, Data Platform
Autodesk
Toronto, ON
- Full-time
4+ years in product management, including infrastructure or platform products at scale such as data platforms, cloud infrastructure, or developer tooling
Added 2 days ago
A
Senior Product Manager, Data Platform
Autodesk
Toronto, ON
- Full-time
4+ years in product management, including infrastructure or platform products at scale such as data platforms, cloud infrastructure, or developer tooling
Added 2 days ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Montreal, QC
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 2 days ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 2 days ago
S
Artificial Intelligence Consultant
SMARTFOX
Canada
- Full-time
Cloud experience on Azure, AWS, or GCP, and familiarity with MLOps and deployment practices
Added 2 days ago
A
Senior Data Scientist - AI/ML
Akkodis
Toronto, ON
- Contract
Familiarity with MLOps practices and model monitoring frameworks.
Added 2 days ago
JI
Senior Data Scientist
J.D. Irving, Limited
Saint John, NB
- Full-time
Experience with cloud-based AI platforms, MLOps, Generative AI, LLMs, Agentic AI, Azure AI services, or enterprise-scale AI architecture is strongly preferred.
Added 2 days ago
B
Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
Added 2 days ago
IG
Machine Learning Engineer
IMCS Group
ON · Ontario, Canada
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 6+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…

Closed listing

Sokoni Kwetu

Associate Director, Platform Engineering

London, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Job type: Full-time
Closing date: Nov 9, 2026
Posting language: English
Posted: Oct 10, 2026

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Original job description

Archived listing. The details below describe a past opening.

About RelationRelation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure.We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact.We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunityAs Associate Director, Platform Engineering, you will lead the team responsible for the hybrid compute infrastructure, developer platform and scientific compute environments that power Relation’s machine learning and drug discovery work. Reporting to the VP of Engineering, you will work closely with your team and peers across Engineering, Data Science and Machine Learning to define and evolve Relation’s platform strategy.Our platform spans on-premises infrastructure and public cloud environments, supporting computational scientist notebooks through Kubeflow, model training and serving, internal services and genomic pipelines. You will set the technical direction across these areas, build and develop the team responsible for delivering them, and ensure our platform continues to evolve alongside the needs of our science.Day to day, you willPartner with the VP of Engineering and peers across Engineering, Data Science and Machine Learning to define and evolve Relation’s platform strategy.Own the architectural strategy for our Kubernetes-based clusters and broader hybrid infrastructure, setting the technical standards and guardrails within which the team designs, builds and operates.Lead and develop the Platform Engineering team, hiring and retaining exceptional engineers, setting clear expectations and creating the conditions for them to do their best work.Own the scientific compute platform, ensuring it reliably and efficiently meets the evolving needs of our Machine Learning and Data Science teams.Drive the maturity of our CI/CD pipelines, internal services and developer tooling, treating the platform as a product and our internal engineers and computational scientists as its customers.Establish comprehensive observability and robust disaster recovery and failover strategies across on-premises and cloud environments.Own Relation’s platform security controls, including IAM, secrets management, network policy and vulnerability management, ensuring the platform meets the data governance standards required of a clinical-stage biotech working with sensitive patient-derived data. Professionally, you will haveSignificant experience in platform, infrastructure or DevOps engineering, with a strong track record of building and operating complex production environments.Experience leading engineers, either formally or informally, with responsibility for significant workstreams from strategy through to delivery. You have set technical direction others have followed, mentored and developed engineers, and taken accountability for live production systems.Strong hands-on operational experience. You have participated in on-call rotations for production infrastructure, led responses to significant incidents and driven the subsequent changes required to prevent recurrence.Deep expertise in Kubernetes, alongside experience operating infrastructure across hybrid on-premises and cloud environments.Experience building, running or evolving MLOps infrastructure, ideally including notebook environments such as Kubeflow, GPU compute for distributed training and model serving.Familiarity with batch compute for data-intensive scientific workloads, with an understanding of the reliability, scalability and reproducibility requirements of scientific data pipelines.A track record of maturing CI/CD pipelines, developer tooling and observability across complex, multi-environment platforms.Strong security fundamentals, with hands-on experience designing and implementing appropriate security controls.Excellent written and verbal communication skills, with the ability to co-own strategy with senior stakeholders, challenge decisions constructively and communicate platform strategy clearly to both technical and non-technical audiences.Bonus Experience:Exposure to relevant compliance and governance frameworks, such as ISO 27001, SOC 2 or GDPR within a research or scientific environment. Personally, youAre comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams.Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work.Technically deep enough to earn the respect of a highly skilled engineering team, while being equally comfortable influencing and contributing at leadership levelCommunicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect.Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams.Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at RelationAt Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Recruitment AgenciesPlease note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.Find Jobs in United Kingdom on Arbeitnow

About employer

More about this job

Responsibilities

Lead the Platform Engineering team and set the technical strategy for Kubernetes-based clusters, hybrid infrastructure, scientific compute, and MLOps environments. Improve platform reliability, developer experience, observability, disaster recovery, and security while partnering with Engineering, Data Science, and Machine Learning teams.

Requirements

Requires significant experience building and operating production platform, infrastructure, or DevOps environments, with demonstrated technical leadership and hands-on incident response. Candidates should have deep Kubernetes expertise, experience with hybrid cloud and on-premises infrastructure, and familiarity with MLOps, scientific workloads, CI/CD, observability, and security controls.

Skills

Platform Engineering
Kubernetes
Hybrid Infrastructure
Cloud Computing
On-Premises Infrastructure
MLOps
Kubeflow
GPU Computing
Distributed Training
Model Serving
CI/CD
Developer Tooling
Observability
Disaster Recovery
Platform Security
Incident Response

Visa sponsorship

Not detected in the job text

Keywords

Kubernetes
Hybrid Infrastructure
Public Cloud
On-Premises Infrastructure
Kubeflow
MLOps
GPU Compute
Distributed Training
Model Serving
Scientific Compute
Batch Compute
Genomic Pipelines
Machine Learning
Data Science
CI/CD
Developer Tooling
Observability
Disaster Recovery
Failover
IAM
Secrets Management
Network Policy
Vulnerability Management
Data Governance
ISO 27001
SOC 2
GDPR
Incident Response
Platform Strategy
Clinical-Stage Biotech

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