Data Scientist

The Printed Group; Cramlington; Hybrid; GBP 40,000 - 80,000; Full time

Job summary

Ein innovatives Unternehmen im Druckbereich sucht einen leidenschaftlichen Machine Learning Engineer, um die Zukunft des Druckens mitzugestalten. In dieser Rolle werden Sie ML-Modelle entwickeln und implementieren, die personalisierte Empfehlungen und Anomalieerkennung ermöglichen. Arbeiten Sie mit einem talentierten Team zusammen, um die neuesten Technologien zu nutzen und effiziente Datenpipelines zu erstellen. Profitieren Sie von flexiblen Arbeitszeiten, einem großzügigen Urlaubspaket und einer Vielzahl von Vorteilen, die Ihre berufliche Entwicklung unterstützen. Wenn Sie technologiebegeistert sind und einen echten Einfluss auf die Branche haben möchten, ist dies Ihre Chance!

Benefits

25 Tage Urlaub plus 8 Feiertage

Mitarbeiterrabatte

Fahrrad zur Arbeit Programm

Frühstück und Getränke bereitgestellt

Jährlicher Charity-Tag

Sommer- und Weihnachtsfeiern

Zugang zu Perkbox

Flexibilität, 2 Tage pro Woche von zu Hause zu arbeiten

Budget für Lernen und Entwicklung

Vierteljährliche soziale Veranstaltungen

Qualifications

• 3+ Jahre Erfahrung in angewandtem maschinellen Lernen und Bereitstellung von Produktionsmodellen.
• Fähigkeit, neue Tools schnell zu erlernen und skalierbare, qualitativ hochwertige Lösungen unabhängig zu liefern.

Responsibilities

• Entwickeln und Bereitstellen von ML-Modellen für Personalisierung und Anomalieerkennung.
• Zusammenarbeit mit Software-Ingenieuren und CTO zur Gewährleistung robuster Datenpipelines.

Skills

Machine Learning

Python

SQL

TensorFlow

PyTorch

scikit-learn

AWS

Databricks

Kafka

Debezium

Tools

Terraform

Debezium

Kafka

S3

Lambda

Delta Lake

Job description

Description

Hey there! Have you heard of The Printed Group? We're a vibrant family of print-focused companies that's shaking up the industry with our cutting-edge solutions. Our companies, like Printed.com, PrintedDirect, and Ravensworth, offer a wide range of services, from traditional printing methods to innovative web-to-print on-demand production.

We're not just about putting ink on paper. At The Printed Group, we're all about pushing the boundaries of technology in the print world. Our talented R&D team works with Canon, HP, and Ricoh, exploring new ways to incorporate AI and make our services, systems, and operations smarter and more efficient. It's an exciting time to be part of our journey!

Our PrintedDirect platform-as-a-service is revolutionising the print-tech industry. It powers Printed.com and many other eCommerce brands, enabling businesses to set up their own web-to-print storefronts, scalable product catalogs, and streamline order processes like never before.

If you're passionate about technology, data, and the future of printing, we'd love to have you on board — together, we can shape the future of print!

Role Overview

Join our evolving data team at The Printed Group. You'll build and deploy ML models for personalisation, recommendations, anomaly detection, and insights—while following best practices in ML Ops and leveraging AI-powered tools to boost productivity.

Our Tech Stack

• Data Pipeline: Data sources → Debezium/Kafka → S3 → Databricks/Lambda → S3 (Delta format) / Embedded → Reporting/Notifications
• Infrastructure: AWS cloud managed via Terraform

Responsibilities

• Develop & Deploy ML Models: Build models that power personalisation, recommendations, and anomaly detection.
• Implement ML Ops: Set up continuous integration, monitoring, and automated retraining for production models.
• Leverage AI Tools: Use AI-powered coding assistants (e.g., Cursor, Copilot) to enhance development efficiency.
• Collaborate: Work closely with software engineers, DevOps, and the CTO to ensure robust data pipelines and translate requirements into technical solutions.

Key Skills

• 3+ years' experience in applied machine learning and production model deployment.
• Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Hands-on experience with AWS services and Databricks; familiarity with ML Ops principles is a plus.
• Ability to learn new tools quickly and deliver scalable, high-quality solutions independently.
• Experience with data pipelines (Kafka, Debezium, S3, Lambda, Delta Lake) is a bonus.

Benefits

• 25 days holiday plus 8 bank holidays
• Staff discounts & Friends and Family discounts
• Cycle to work scheme and Home & Tech Scheme
• Breakfast and drinks provided
• Charity day per annum supported
• Summer and Christmas Parties
• Street food days
• Access to Perkbox
• Flexibility to work from home 2 days per week
• Learning and development budget
• Quarterly social events
• Enhanced parental leave
• Employee referral scheme