Manager, AI Data Engineering (UK Remote)

Turnitin, LLC; Manchester; Remote; GBP 85,000 - 120,000; Full time

Job summary

A global education technology company is seeking an AI Data Engineering Manager to lead a team in building and managing data pipelines that support AI initiatives. The role involves collaborating with various teams to enhance data quality and implementing innovative data strategies. Candidates should have a strong background in data engineering, with expertise in Python and cloud platforms. This position offers a remote-first culture with comprehensive benefits.

Benefits

Health Care Coverage

Competitive Paid Time Off

Education Reimbursement

Qualifications

• 5+ years of experience in data engineering and data science focused on AI.
• 2+ years in a managerial or technical leadership role.
• Strong proficiency in Python, SQL, and cloud-native data platforms.

Responsibilities

• Lead a team of AI data engineers and ensure their growth.
• Advise on AI-driven data engineering strategies.
• Design and operate real-time data pipelines using AI methods.

Skills

Python

SQL

Infrastructure as Code

Cloud Platforms

MLOps tools

AI Coding Tools

Education

5+ years in data engineering or data science

Managerial or technical leadership experience

Tools

Terraform

AWS

HuggingFace

Job description

Overview

Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Turnitin is a recognized innovator in the global education space, with services used by over 21,000 academic institutions, publishers, and corporations.

Job Description: AI and data science are integral to our success and ambitious product roadmap, and great AI begins with great data. Joining us as an AI Data Engineering Manager means you'll become part of a global team of proactive, supportive, and independent professionals committed to delivering sophisticated, well-structured AI and data systems. You'll help pioneer our next generation data and AI pipelines to scale our team's impact and collaborate with different teams within Turnitin to integrate AI and data science across a broad suite of products that enhance learning, teaching, and academic integrity.

Responsibilities

In your role as AI Data Engineering Manager, you'll 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 across the team and foster excellent communication within the organization.
• AI Data Engineering: Design, build, operate and deploy real-time data pipelines at scale using AI methods and best practices. Apply cutting edge 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 new AI initiatives.
• Collaboration: Cross-functionally partner with teams from across Turnitin, especially the AI R&D, Applied AI, and Data Platform teams to collect, create, curate and catalog high-quality AI datasets that drive the AI pipeline and help answer critical business questions. Ensure alignment and integration of data architecture and data models across different products and platforms.
• Hands-on Involvement: Engage in data engineering and data science tasks as required to support the team. Lead external data collection efforts, including state-of-the-art prompt engineering techniques, to support the construction of state-of-the-art AI models.
• Innovation: Drive data innovation through research and development to unearth insights from Turnitin's data resources.
• Continuous Learning: Stay updated on new tools and development strategies in a rapidly evolving technical space, and bring innovation recommendations to leadership.

Qualifications

Required Qualifications:

• At least 5 years of experience in data engineering and data science, ideally focused on enabling and accelerating AI R&D.
• At least 2 years of experience in a managerial or technical leadership role, with responsibility covering large cross-functional projects.
• Strong proficiency in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation), with additional experience in modern orchestration frameworks (Airflow, Prefect, or dbt).
• Proficiency 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 interaction (LiteLLM, LangFuse, LangChain, LlamaIndex).
• Strong problem-solving, analytical, and communication skills, with the ability to design scalable AI data systems and collaborate effectively in cross-functional teams.

Desired Qualifications:

• 7+ years of experience in data engineering and data science, with a focus on AI and machine learning projects.
• 2+ years of experience 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

• A passion for creatively solving complex data problems.
• The ability to work collaboratively and cross-functional, with strong leadership skills.
• A strong growth mindset and ability to constantly improve your skills and knowledge.
• Excellent track record of delivering results and ensuring a high level of 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 maintains a Total Rewards package that is competitive within the local job market. Beyond monetary compensation, Turnitin offers benefits focused on well-being and flexibility, including generous time off and health and wellness programs. The remote-centric culture supports work with purpose and accountability.

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

Our Values underpin everything we do.

• Customer Centric - We realize our mission by putting educators and learners at the center of everything we do.
• Passion for Learning - We seek teammates that are constantly learning and growing and build a workplace which enables them to do so.
• Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products, the way we treat each other, and how we work with our customers and vendors.
• Action & Ownership - We have a bias toward action and empower teammates to make decisions.
• One Team - We strive to break down silos, collaborate effectively, and celebrate each other's successes.
• Global Mindset - We respect local cultures and embrace diversity. We think globally and act locally to maximize our impact on education.

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

Seeing Beyond the Job Ad

At Turnitin, we recognize it is unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because skills evolve over time. If you're willing to learn and evolve alongside us, join our team!

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.