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Posted 23 days ago

Senior ML Engineer

@ Hays

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Toronto, Ontario

Contract
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SIGNALS

Requirements summary:

  • Strong professional experience in Machine Learning Engineering with hands-on production deployment experience.
  • Strong experience with Google Cloud Platform (GCP) and cloud-based ML/data environments.
  • Hands-on experience with Vertex AI and modern GCP data technologies.
  • Experience developing Generative AI / LLM-based solutions .
  • Experience with LangChain and/or LangGraph .
  • Experience with Docker and Kubernetes .
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-10-19
First seen by our source
2026-11-11
Source record updated
2026-11-11

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

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Job description

Senior Machine Learning Engineer – GenAI & Personalisation

Location: Toronto, ON

Work Model: Hybrid – 1 day onsite per week

Contract: 6 months, with a chance of extension

Rate: Up to $100/hour INC

We’re looking for a Senior Machine Learning Engineer to join a large enterprise organisation working on next-generation personalisation, recommendation systems and Generative AI initiatives. This is a hands-on engineering role focused on building and deploying production-grade ML solutions at scale.

What You’ll Be Doing

  • Design, build and deploy scalable machine learning and GenAI solutions in production.
  • Contribute to the development of personalisation and recommendation systems, including multimodal use cases.
  • Build and optimise ML solutions using Python and SQL.
  • Work with GCP technologies, including Vertex AI, BigQuery, BigTable, AlloyDB and Cloud Composer.
  • Develop GenAI applications and workflows using technologies such as LangChain and LangGraph.
  • Containerise and deploy applications using Docker and Kubernetes.
  • Work closely with engineering, data and product teams to take ML solutions from development through to production.

What We’re Looking For

  • Strong professional experience in Machine Learning Engineering with hands-on production deployment experience.
  • Advanced Python and SQL skills.
  • Strong experience with Google Cloud Platform (GCP) and cloud-based ML/data environments.
  • Hands-on experience with Vertex AI and modern GCP data technologies.
  • Experience developing Generative AI / LLM-based solutions.
  • Experience with LangChain and/or LangGraph.
  • Strong understanding of recommendation systems, personalisation or similar ML use cases.
  • Experience with Docker and Kubernetes.
  • Proven experience building scalable, production-grade ML systems, rather than purely research or proof-of-concept work.

Nice to Have

  • Experience working with multimodal AI models.
  • Experience building large-scale recommendation engines.
  • Experience working within complex, enterprise-scale technology environments.

This is a strong opportunity for a senior ML engineer who enjoys staying hands-on and wants to work on production-scale GenAI, personalisation and recommendation technology.

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position.

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