Senior Machine Learning Engineer

Job not on LinkedIn

October 23

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $110k - $140k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Informa

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B2B • Media • Education

Informa is a global leader in business intelligence, academic publishing, and events. It is home to hundreds of specialist brands and businesses, focused on connecting people with knowledge through events and digital products. Informa operates in over 30 countries and has a workforce of 12,000 colleagues globally. The company runs divisions such as Informa Markets, which facilitates trade and growth through events, and Taylor & Francis, a leading publisher of academic research. Informa prioritizes sustainability and diversity, aiming to positively impact markets and communities. As a member of the FTSE 100, Informa is known for its strong financial performance and scale within the academic and B2B markets.

10,000+ employees

Founded 1998

🤝 B2B

📱 Media

📚 Education

📋 Description

• 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.

🎯 Requirements

• 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. • 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.

🏖️ Benefits

• Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask! • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday! • Learning and development tools to assist with your career development • Work with industry leading Subject Matter Experts and specialist products • Regular social events and networking opportunities • Collaborative, supportive culture, including an active DE&I program • Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services