drjobs Sr. AI Data Engineer (UK Remote)

Sr. AI Data Engineer (UK Remote)

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1 Vacancy
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Job Location drjobs

UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

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 youll become part of a global team of proactive supportive and independent professionals committed to delivering sophisticated well-structured AI and data systems. Youll help pioneer our next generation data and AI pipelines to scale our teams impact. Additionally youll 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

Your role as a Senior AI Data Engineer encompasses the following key 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 Turnitins 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. 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 others 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 its 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 youre 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.


Remote Work :

Yes


Employment Type :

Full-time

Employment Type

Remote

Company Industry

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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