We are looking for a Senior Machine Learning Engineer to support our Databricks-native (i.e., Databricks Workflows, Delta Live Tables, Databricks Asset Bundles, Unity Catalog, etc.) machine learning and AI platform. In this role you will operationalize production-grade machine learning and AI models, manage deployments, and ensure robust monitoring and governance. In addition to solid technical skills, this role requires strong communication across functions, including data scientists, data engineers, and product managers; ability to drive clarity from requirements; and active participation and sense of ownership of end-to-end design, implementation, and testing of complex ML and AI workflows in a collaborative team environment.
Responsibilities:
Manage and support ML and AI model lifecycle using Databricks and MLflow: training, tracking, packaging, deployment, monitoring, agentic AI safety and generative AI guardrails.
Automate and optimize model deployment pipelines for batch and real-time use cases.
Collaborate with data scientists to productionize models, ensuring scalability, reproducibility, and reliability.
Implement CI/CD pipelines for ML and AI workflows, including testing, version control, and rollback strategies.
Monitor deployed models for performance drift, data quality, and SLA adherence.
Support governance and compliance requirements: model registry usage, auditability, reproducibility).
Troubleshoot and resolve issues related to model training, deployment, and integration with downstream systems.
Provide operational support for Databricks Workflows, Jobs, and Delta Lake integration.
Document processes, automation frameworks, and operational runbooks.
Bring best practices to bear on the team’s products and educate the team members.
Salary Range: $110,000 to $140,000 (plus bonus)
Desired Skills & Expertise:
Strong hands-on experience with Databricks (Workflows, Delta Lake, MLflow).
Proficiency with MLflow for experiment tracking, model registry, and deployments.
Experience deploying models to Databricks Model Serving, REST APIs, or external endpoints.
Familiarity with Python, Spark, and SQL for data and ML workflows.
Solid understanding of CI/CD tools (e.g., Databricks Asset Bundles, Jenkins, etc.).
Competency with shell scripting in a Linux environment nice to have
Exposure to contemporary big data and AI stacks and technologies. Typical examples include things such as Yarn, AWS, Spark, Databricks, distributed computing, chatGPT, Claude, Copilot. but this is not an exclusive list. Our platform of choice is Databricks.
Some experience with real-time processing nice to have
Solid understanding of data structures and algorithms
Some experience with production support
Experience with 3rd party marketing clouds (such as Salesforce) nice to have
Self–discipline and willingness to learn
Solid verbal and written communication skills
Team player and ability to work well with others in an intellectually challenging environment.
Why work at Curinos?
Applying:
We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need!
If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at [email protected] and we’ll do everything we can to help.
Inclusivity at Curinos:
We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.
Informa Markets, a division within Informa, creates global platforms for industries. We organise over 500 large-scale branded and transaction-oriented events in 14 specialist markets. These are typically not-to-be-missed annual events where buyers and sellers build relationships, see and show products and do business.We also provide year-round online platforms where companies showcase their businesses and products and buyers conduct research, generating valuable leads, and we provide data and digital content that supports the flow of knowledge and transactions in markets.
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