Sr. AI Data Engineer (UK Remote) in North East

Sr. AI Data Engineer (UK Remote) in North East

North East Full-Time 36000 - 60000 € / year (est.) Home office possible
Turnitin, LLC

At a Glance

  • Tasks: Design and manage AI data pipelines to enhance educational integrity.
  • Company: Join Turnitin, a leader in global education technology.
  • Benefits: Enjoy remote work, competitive pay, and wellness programmes.
  • Other info: Collaborative culture with opportunities for growth and learning.
  • Why this job: Make a real impact in education with cutting-edge AI solutions.
  • Qualifications: 4+ years in data engineering, strong Python and SQL skills.

The predicted salary is between 36000 - 60000 € per year.

Overview

When you join Turnitin, you\'ll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate.

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. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.

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.

Job Description

Turnitin, an AI-focused leader in the educational and research sectors, has been at the forefront of promoting academic integrity and innovation for over two decades. We are renowned for our cutting-edge solutions which have been embraced by thousands of academic institutions, corporations, and publishers worldwide.

At Turnitin, we believe in flexibility, offering remote working as a standard arrangement. We value diversity, respect local cultures, and honor individual choices. We are a remote-first employer, with an office in Newcastle (UK) and colleagues spanning the globe. Our team is diverse yet unified by a shared commitment to making a significant impact in education.

AI and data science are integral to our success and ambitious product roadmap, and great AI begins with great data. Joining us as a Senior AI Data Engineer 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. Additionally, you\'ll collaborate with different teams within Turnitin to integrate AI and data science across a broad suite of products, designed to enhance learning, teaching, and academic integrity.

Responsibilities

  • AI Data Infrastructure & Pipeline Management for Applied AI: Design, build, and operate scalable real-time data pipelines that support ongoing Applied AI model training. Deploy and maintain robust data infrastructure using AI techniques and engineering best practices to ensure continuous model improvement and deployment cycles.
  • Data Collection: Execute initiatives for collecting, normalizing, and storing data across multiple sources, including external LLM providers.
  • Collaboration: Partner with AI R&D, Applied AI, and Data Platform teams to ensure seamless data flow and quality standards. Partner with stakeholders to collect, curate, and catalog high-quality datasets that directly support Applied AI retraining workflows and business objectives.
  • AI R&D Support: Provide secondary support to AI Research & Development efforts by applying advanced data warehousing and engineering technologies. Contribute to exploratory data initiatives that uncover insights from Turnitin\'s extensive data resources.
  • Communication: Maintain clear communication channels across teams, ensuring alignment with company vision while sharing insights on data infrastructure needs and potential innovations.
  • Technology Evolution: Stay current with emerging tools and methodologies in AI data engineering, bringing recommendations to enhance our AI data infrastructure and capabilities.

Qualifications

Required Qualifications:

  • At least 4 years of experience in data engineering, ideally focused on AI/ML data infrastructure or enabling and accelerating AI R&D.
  • 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:

  • 6+ years of experience in data engineering with a focus on AI and machine learning projects.
  • Experience in a technical leadership or mentorship 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-functionally.
  • A continuous learning mindset, always striving to improve your skills and knowledge.
  • A proven track record of delivering results and ensuring a high level of quality.
  • Strong written and verbal communication skills.
  • Curiosity about the problems at hand, the field at large, and the best solutions.

Additional Information

Total Rewards @ Turnitin

Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily — solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However, Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education, and thriving in an organization that is free of politics and full of humble, inclusive and collaborative teammates, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. 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.

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 to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do.
  • Passion for Learning - We seek out 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.
  • Remote First Culture
  • Health Care Coverage*
  • Education Reimbursement*
  • Competitive Paid Time Off
  • 4 Self-Care Days per year
  • National Holidays*
  • Charitable contribution match*
  • Monthly Wellness or Home Office Reimbursement/*
  • Access to Modern Health (mental health platform)
  • Retirement Plan with match/contribution*

* varies by country

Seeing Beyond the Job Ad

At Turnitin, we recognize it’s 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 we know that 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.

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Sr. AI Data Engineer (UK Remote) in North East employer: Turnitin, LLC

Turnitin is an exceptional employer that champions a remote-centric culture, empowering employees to work flexibly while prioritising their well-being. With a commitment to diversity and collaboration, Turnitin offers generous benefits including competitive paid time off, health care coverage, and opportunities for professional growth, all while making a meaningful impact in the global education sector.

Turnitin, LLC

Contact Detail:

Turnitin, LLC Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Sr. AI Data Engineer (UK Remote) in North East

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for those interviews! Research Turnitin and its products, and think about how your skills as a Senior AI Data Engineer can make a real impact. Practice common interview questions and have your own ready to show your interest.

Tip Number 3

Show off your projects! If you've worked on any cool AI or data engineering projects, be ready to discuss them. Having tangible examples of your work can really set you apart from other candidates.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Turnitin and making a difference in education.

We think you need these skills to ace Sr. AI Data Engineer (UK Remote) in North East

Data Engineering
Python
SQL
Infrastructure as Code (Terraform, CloudFormation)
Modern Orchestration Frameworks (Airflow, Prefect, dbt)
Cloud-native Data Platforms (AWS, Azure, GCP)
Vector Databases (Pinecone, Weaviate, Qdrant, Chroma)

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Senior AI Data Engineer role. Highlight your relevant experience in data engineering, especially with AI/ML projects, and show how your skills align with our mission at Turnitin.

Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your proficiency in Python, SQL, and cloud-native platforms. We love seeing how you’ve tackled challenges in your previous roles.

Be Authentic:Let your personality shine through in your application. We value integrity and a passion for learning, so share your journey and what drives you in the field of AI and data engineering. We want to know the real you!

Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. This helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Turnitin, LLC

Know Your Tech Inside Out

Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and cloud platforms. Brush up on your experience with MLOps tools and frameworks for LLMs, as these will likely come up during technical discussions.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've creatively solved complex data problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.

Emphasise Collaboration

Turnitin values teamwork, so be ready to share experiences where you’ve successfully collaborated with cross-functional teams. Highlight how you maintained clear communication and aligned with company goals in past projects.

Stay Curious and Open to Learning

Demonstrate your passion for continuous learning by discussing recent trends in AI and data engineering that excite you. Show that you’re not just looking to fill a role but are eager to grow and contribute to Turnitin’s mission.