Machine Learning Engineer

Machine Learning Engineer

Sage Publishing seeks a self-motivated Machine Learning Engineer with a focus on MLOps (Machine Learning Operations), NLP (Natural Language Processing), knowledge graphs, and Azure services. This role involves designing, developing, and deploying Data Science and AI/ML solutions, products, and engineering infrastructure as part of a multi-functional team, working as a self-starter in a greenfield environment, and managing multiple deliverables to deliver high-quality results that drive business outcomes.

Your New Role:

• Design, implement, and evolve MLOps principles, standards, frameworks, and engineering platforms to support enterprise data science and AI/ML initiatives
• Work multi-functionally to develop production data science and AI/ML solutions, with a focus on NLP, recommender systems, and knowledge graphs that address complex business needs
• Implement MLOps practices to streamline the model lifecycle from development to deployment and monitoring, with a focus on auditability, versioning, and data security
• Monitor and analyze the performance of deployed models and systems, and implement optimizations as required
• Act as point of escalation for ML Engineering related issues with deployed solutions
• Remain up-to-date with the latest trends in AI/ML, MLOps, and Azure services and apply them to enhance existing solutions
• Build relationships across the department and the wider Company to be viewed as a trusted advisor on matters of MLOps Engineering for deliverables and initiatives from departments across the business
• Coach and guide more junior members of the team and team members with other technical backgrounds
• Communicate effectively about MLOps and existing solutions with technical and non-technical audiences

Can you be our new Machine Learning Engineer?

• Demonstrated experience of designing and implementing MLOps principles, standards, frameworks, guidelines, and engineering infrastructure
• Demonstrated experience of working multi-functionally to deliver scalable production solutions using data science and AI/ML tools and techniques, and Azure services
• Strong applied understanding of NLP, recommender systems, and knowledge graphs
• Experience with Azure DevOps or similar CI/CD/CT pipelines for deploying AI/ML solutions
• Strong understanding of data engineering principles and ETL pipelines
• Proficiency in programming languages such as Python, R, Java, C#
• Familiarity with cloud-based data storage technologies like Azure Data Lake and Azure SQL Database
• Excellent relationship building skills with the ability to gain trust and influence at senior level
• Experience of coaching/mentoring more junior engineers or others with different technical backgrounds
• Excellent problem-solving abilities and strong communication skills

Overview of benefits:

• 25 days annual leave (plus bank holidays) with 2 additional floating personal days
• Hybrid working up to 2 days per week in office and a home working allowance
• Life assurance, income protection, and travel insurance
• Private medical cover
• Tuition scheme and support for pursuing professional qualifications, including access to Sage books and journals
• Variety of snacks and beverages available in the office
• Healthy lifestyle reimbursement and anniversary trips
• Access to Company loans (season ticket loan, rental deposit loan, cycle loan)
• We are a Disability Confident Employer (Level 1). If you’d like to apply under this scheme, please let us know in your application
• We are committed to making our recruitment process accessible and inclusive. If you’d like to request reasonable adjustments, please contact us. Applications are accepted via email if an adjustment has been agreed

Diversity, Equity, and Inclusion At Sage, we are committed to building a diverse and inclusive team and to sustaining a culture that celebrates diversity, encourages authenticity, and builds a deep sense of belonging. We encourage applications from all members of society irrespective of age, disability, sex or gender identity, sexual orientation, colour, race, nationality, ethnic or national origin, religion, or belief as crafting value through diversity is what makes us strong.

Department Technology

Location

London, United Kingdom

Salary

£70,000 - £80,000/year

Remote Status Hybrid

Employment Type Full-time

Employment Level Mid Level

Sage is a global academic publisher of books, journals, and library resources with a growing range of technologies to enable discovery, access, and engagement. Our mission is building bridges to knowledge — supporting the development of ideas through the research process to scholarship that is certified, taught, and applied.

Sage is committed to the full inclusion of all qualified applicants. Accommodations will be made for any part of the interview process.

Technology

London, United Kingdom

If you’re passionate about making a difference, value flexibility and autonomy, and are looking for a supportive and inclusive environment, consider making Sage your next career move.