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Manager, AI Data Engineering (UK Remote)

Turnitin, LLC
Newcastle upon Tyne
2 weeks ago
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Overview

Turnitin is an AI-focused leader in the educational and research sectors, delivering cutting-edge solutions used by thousands of academic institutions, corporations, and publishers worldwide. We are a remote-first employer with an office in Newcastle (UK) and colleagues across the globe. AI and data science are integral to our success and ambitious product roadmap. Joining Turnitin means joining a global team of proactive, supportive, and independent professionals committed to delivering sophisticated, well-structured AI and data systems that enhance learning, teaching, and academic integrity.

We offer remote working as a standard arrangement, with a flexible culture that respects local cultures and individual choices. Our Total Rewards package prioritizes well-being and includes generous time off and health and wellness programs alongside a competitive compensation package.

Responsibilities

In your role as AI Data Engineering and Data Science Manager, you will lead a team that owns all data collection and data curation for the AI team, with emphasis on automated data collection and labeling using state-of-the-art AI and LLMs. Key responsibilities include:

  • Leadership: Build and grow a team of AI data engineers, ensuring their growth and high performance.
  • Strategy: Advise senior leadership on how to leverage AI-driven data engineering to create future-ready data and AI strategies.
  • Communication: Ensure clarity of the company\'s vision and mission within the team and foster excellent cross-organizational communication.
  • AI Data Engineering: Design, build, operate and deploy real-time data pipelines at scale using AI methods and best practices. Apply advanced data warehousing, data science and data engineering technologies to accelerate Turnitin\'s AI R&D efforts. Identify strategic unlocks such as LLM agents to enable faster time-to-market and better reusability of AI initiatives.
  • Collaboration: Partner cross-functionally with AI R&D, Applied AI, and Data Platform teams to collect, create, curate and catalog high-quality AI datasets that drive our AI pipeline and answer critical business questions. Ensure alignment of data architecture and data models across products and platforms.
  • Hands-on Involvement: Engage in data engineering and data science tasks as required and lead external data collection efforts, including state-of-the-art prompt engineering, to support building advanced AI models.
  • Innovation: Drive data innovation through research and development to extract insights from Turnitin\'s data resources.
  • Continuous Learning: Stay updated on new tools and strategies in a rapidly evolving space and bring innovation recommendations to leadership.
Qualifications

Required Qualifications

  • At least 5 years of experience in data engineering and data science, ideally enabling and accelerating AI R&D.
  • At least 2 years in a managerial or technical leadership role with responsibility over large cross-functional projects.
  • Strong proficiency in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation), plus experience with modern orchestration frameworks (Airflow, Prefect, or dbt).
  • Experience with cloud-native data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, or Chroma).
  • Experience with MLOps tools and platforms (HuggingFace, SageMaker Bedrock, Vertex AI), experiment tracking (MLflow, Weights & Biases), and model deployment pipelines.
  • Experience with Large Language Models (LLMs), embedding generation, retrieval-augmented generation (RAG) systems, and frameworks for orchestrating LLM interactions (LiteLLM, LangFuse, LangChain, LlamaIndex).
  • Strong problem-solving, analytical, and communication skills with the ability to design scalable AI data systems and collaborate in cross-functional teams.

Desired Qualifications

  • 7+ years of experience in data engineering and data science, focusing on AI and machine learning projects.
  • 2+ years in a managerial or technical leadership role.
  • Experience in education, EdTech, or academic integrity sectors.
  • Experience using AI coding tools (Cursor, Claude Code, GitHub Copilot) for accelerated development.
  • Familiarity with natural language processing, computer vision, or multimodal AI applications.
  • Experience with data visualization (Streamlit) and data reporting.
Characteristics for Success

As an AI Data Engineering and Data Science Manager, you should have:

  • A passion for creatively solving complex data problems.
  • The ability to work collaboratively and cross-functionally, with strong leadership skills.
  • A strong growth mindset and the ability to constantly improve your skills and knowledge.
  • Excellent track record of delivering results and maintaining high quality.
  • A desire to mentor, guide and grow high-potential individual contributors.
  • Excellent written and verbal communication skills.
  • A sense of curiosity about the problems at hand, the field at large, and the best solutions.
  • Strong system-level problem-solving skills.
Additional Information

Total Rewards @ Turnitin

Turnitin offers a Total Rewards package that is competitive within the local job market, including generous time off and health and wellness programs, with a remote-centric culture focused on well-being and flexibility.

Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.

Our Values underpin everything we do.

  • Customer Centric — We put educators and learners at the center of our work.
  • Passion for Learning — We seek teammates who continuously learn and grow.
  • Integrity — The heartbeat of Turnitin, shaping our products and interactions.
  • Action & Ownership — Bias toward action and ownership of decisions.
  • One Team — Collaboration across silos and celebration of successes.
  • Global Mindset — Respect for local cultures; think globally, act locally.
Global Benefits
  • Remote First Culture
  • Health Care Coverage*
  • Education Reimbursement*
  • Competitive Paid Time Off
  • 4 Self-Care Days per year
  • National Holidays*
  • 2 Founder Days + Juneteenth Observed
  • Paid Volunteer Time*
  • Charitable contribution match*
  • Monthly Wellness or Home Office Reimbursement/*
  • Access to Modern Health (mental health platform)
  • Parental Leave*
  • Retirement Plan with match/contribution*

* varies by country

EEO Statement

Turnitin, LLC is committed to the policy that all persons have equal access to its programs, facilities and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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