Data Scientist

Printed.com; Cramlington; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading technology-driven print company is seeking a Machine Learning Engineer to join their data team. You will be responsible for developing and deploying machine learning models aimed at enhancing personalisation and operational efficiency. The role provides an exciting opportunity to work with advanced technologies in a dynamic environment, with a commitment to personal and professional growth through learning initiatives.

Benefits

25 days holiday plus 8 bank holidays

Staff discounts & Friends and Family discounts

Cycle to work 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

Qualifications

• 3+ years' experience in applied machine learning and production model deployment.
• Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, or scikit-learn.

Responsibilities

• Develop & deploy ML models for personalisation, recommendations, and anomaly detection.
• Implement ML Ops and collaborate with software engineers and the CTO.

Skills

Python

SQL

Machine Learning

AWS

Data Pipelines

Tools

TensorFlow

PyTorch

scikit-learn

Databricks

AWS Services

Job 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 property-focused 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, though. At The Printed Group, we're all about pushing the boundaries of technology in the print world. Our talented R&D team work with the likes of Canon, HP and Ricoh and we're diving deep into the possibilities of AI, exploring new ways to make our services, systems and operations even smarter and more efficient alongside them. It's an exciting time to be part of our journey!

Our PrintedDirect platform-as-a-service offering is just one example of how we're revolutionising the print-tech industry. Powering Printed.com and many other eCommerce brands and production facilities, with PrintedDirect, businesses can set up their very own web-to-print production, on-demand storefronts, scalable product catalogues and streamlining order processes like never before.

So, 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 world 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-all while following best practices in ML Ops and leveraging AI-powered tools to boost your 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 the software engineers and developers, DevOps and the CTO to ensure robust data pipelines and translate requirements into technical solutions.

Requirements

• 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 quickly learn new tools and independently deliver scalable, high-quality solutions.
• Experience with data pipelines (Kafka, Debezium, S3, Lambda, Delta Lake) is a bonus.

Benefits

• 25 days holiday Plus 8 days 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