Sr. AI Data Engineer (UK Remote)
Sr. AI Data Engineer (UK Remote)

Sr. AI Data Engineer (UK Remote)

Newcastle upon Tyne Full-Time 43200 - 72000 £ / year (est.) No home office possible
Go Premium
T

At a Glance

  • Tasks: Design and manage AI data pipelines to enhance educational tools.
  • Company: Join Turnitin, a leader in AI for education, promoting integrity and innovation.
  • Benefits: Enjoy remote work, competitive pay, generous time off, and wellness programs.
  • Why this job: Make a real impact in education while working with cutting-edge AI technologies.
  • Qualifications: 4+ years in data engineering, strong Python and SQL skills required.
  • Other info: Diverse team culture with opportunities for growth and learning.

The predicted salary is between 43200 - 72000 £ per year.

Overview

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.

We offer remote work as a standard arrangement and value diversity, respecting local cultures and individual choices. We are a remote-first employer with an office in Newcastle (UK) and colleagues across 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. As a Senior AI Data Engineer, you will join a global team of proactive, supportive, and independent professionals delivering sophisticated, well-structured AI and data systems. You’ll help pioneer our next-generation data and AI pipelines to scale our impact and collaborate with different teams to integrate AI and data science across a broad suite of products that 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

As a Senior AI Data Engineer, you should possess:

  • 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.
  • 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 regular pay and bonuses, Turnitin provides generous time off and health and wellness programs that offer choice and flexibility, supporting your well-being. We maintain a remote-centric culture that enables purposeful and accountable work across diverse roles.

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 who are constantly learning and growing and enable that growth.
  • Integrity – Integrity is the heartbeat of Turnitin, shaping our products, interactions, and partnerships.
  • Action & Ownership – We have a bias toward action and empower teammates to make decisions.
  • One Team – We break down silos, collaborate effectively, and celebrate each other’s successes.
  • Global Mindset – We respect local cultures and embrace diversity, thinking globally and acting locally to maximize impact.

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’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.

#J-18808-Ljbffr

Sr. AI Data Engineer (UK Remote) employer: Turnitin

Turnitin is an exceptional employer that champions a remote-first culture, fostering a diverse and inclusive work environment where every team member can thrive. With a strong commitment to employee growth, we offer generous benefits including competitive paid time off, health care coverage, and education reimbursement, all while empowering our staff to make impactful contributions in the educational sector. Join us in our mission to enhance academic integrity and learning outcomes, while enjoying the flexibility and support that comes with being part of a global team.
T

Contact Detail:

Turnitin Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and data engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on common technical questions and scenarios relevant to AI data engineering. Practice explaining your thought process clearly, as communication is key in collaborative environments like ours.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Turnitin.

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

Data Engineering
AI/ML Data Infrastructure
Python
SQL
Infrastructure as Code (Terraform, CloudFormation)
Orchestration Frameworks (Airflow, Prefect, dbt)
Cloud-native Data Platforms (AWS, Azure, GCP)
Vector Databases (Pinecone, Weaviate, Qdrant, Chroma)
MLOps Tools (HuggingFace, SageMaker Bedrock, Vertex AI)
Experiment Tracking (MLflow, Weights & Biases)
Large Language Models (LLMs)
Embedding Generation
Retrieval-Augmented Generation (RAG) Systems
Data Visualization (Streamlit)
Strong Problem-Solving Skills

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 experience with AI/ML data infrastructure and any relevant projects you've worked on. We want to see how your skills align with our mission!

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 Clear and Concise: When writing your application, keep it clear and to the point. Avoid jargon unless it's necessary, and make sure your passion for AI and data engineering shines through. We appreciate straightforward communication!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at Turnitin!

How to prepare for a job interview at Turnitin

✨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 knowledge of 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

Since the role involves working with various teams, be ready to talk about your experience in cross-functional collaboration. Share instances where you’ve partnered with different stakeholders to achieve a common goal, showcasing your communication skills.

✨Stay Curious and Open to Learning

Demonstrate your passion for continuous learning by discussing recent trends in AI and data engineering that excite you. Mention any courses or projects you’ve undertaken to stay updated, showing that you’re committed to evolving alongside the industry.

Sr. AI Data Engineer (UK Remote)
Turnitin
Location: Newcastle upon Tyne
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

T
  • Sr. AI Data Engineer (UK Remote)

    Newcastle upon Tyne
    Full-Time
    43200 - 72000 £ / year (est.)
  • T

    Turnitin

    201-500
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>