Turnitin

About the Company

Turnitin is a global company dedicated to ensuring the integrity of education and meaningfully improving learning outcomes. For 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Turnitin products are used by educational institutions and certification and licensing programs to uphold integrity and increase learning performance, and by students and professionals to do their best, original work.

Turnitin has offices in Australia, Germany, India, Japan, South Korea, Mexico, the Netherlands, Sweden, The United Arab Emirates, the United Kingdom, and the United States. Over 16,000 academic institutions, publishers, and corporations use Turnitin services: Gradescope by Turnitin, iThenticate, Turnitin Feedback Studio, Turnitin Originality, Turnitin Similarity, ExamSoft by Turnitin, ProctorExam, and Ouriginal.

Listed Jobs

Company Name

Turnitin

Job Title

Manager, AI Data Engineering (UK Remote)

Job Description

**Job Title:** Manager, AI Data Engineering (UK Remote) **Role Summary:** Lead AI data engineering teams to design, build, and deploy scalable data pipelines and AI systems. Drive innovation in data curation, automation, and AI integration to support global education technology solutions. **Expectations:** - 5+ years in data engineering/data science with AI R&D focus. - 2+ years in technical or managerial leadership for cross-functional projects. **Key Responsibilities:** - Lead a team managing end-to-end data collection and curation for AI systems. - Design and deploy real-time AI pipelines at scale using ML best practices. - Advise leadership on AI-driven data strategies and future roadmap. - Collaborate cross-functionally to align data architectures across products. - Engage in hands-on engineering tasks, including prompt engineering for data collection. - Drive research and development for data-driven AI innovations. **Required Skills:** - Proficiency in Python, SQL, and infrastructure automation (Terraform, CloudFormation). - Experience with cloud platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, etc.). - MLOps expertise (HuggingFace, SageMaker, Vertex AI) and experiment tracking (MLflow, W&B). - Knowledge of LLMs, embedding generation, RAG systems, and LLM orchestration (LangChain, LiteLLM). - Strong analytical capabilities for scalable AI system design and cross-team collaboration. **Required Education & Certifications:** Not specified.

Birmingham, United kingdom

Remote

Senior

10-09-2025

Company Name

Turnitin

Job Title

Sr. AI Data Engineer (UK Remote)

Job Description

**Senior AI Data Engineer** **Role Summary:** Lead development and maintenance of AI data pipelines to support AI/ML model training and deployment across multiple products. Collaborate with AI R&D, Applied AI, and Data Platform teams to ensure scalable, high-quality data infrastructure for enhanced educational tools. **Expectations:** 4+ years in data engineering with focus on AI/ML infrastructure; expert in scalable data pipeline design and AI system deployment. **Key Responsibilities:** - Design, build, and maintain scalable real-time data pipelines for AI model training. - Collect, normalize, and store data from diverse sources (including external LLM providers). - Collaborate with cross-functional teams to integrate AI data workflows into products. - Support AI R&D through advanced data warehousing, orchestration, and system optimization. - Advocate for continuous improvement via emerging AI data engineering methodologies. **Required Skills:** - Proficiency in Python, SQL, and Infrastructure as Code (Terraform/CloudFormation). - Expertise in orchestration frameworks (Airflow/Prefect/dbt) and cloud platforms (AWS/GCP/Azure). - Experience with vector databases (Pinecone/Weaviate/Qdrant/Chroma), MLOps platforms (HuggingFace/SageMaker), and experiment tracking (MLflow/W&B). - Knowledge of LLMs, embedding generation, RAG systems, and AI orchestration (LangChain/LiteLLM). **Required Education & Certifications:** Bachelor’s or Master’s in Computer Science or related field. 4+ years of data engineering experience in AI/ML infrastructure.

Leeds, United kingdom

Remote

Mid level

10-09-2025