Senior Research Engineer (ML & Data)

Start Date: ASAP

Contract: 6 months

Location: Remote (comfortable working with colleagues located in Europe)

We're looking for a Senior Research Engineer (ML & Data) to join a high-performing team focused on building scalable machine learning solutions in a production environment. This role offers the opportunity to work across the full software development lifecycle, partnering closely with research and engineering teams to translate advanced models into real-world impact.

**We will NOT be engaging with third part agencies on this role**

• Design & Deliver:
  Build, test, and deploy high-quality software using modern development practices across the full SDLC.

• Develop Scalable ML Systems:
  Create and maintain large-scale data pipelines to support the training and deployment of machine learning models (e.g., entity recognition and matching) across high-volume data sets.

• Collaborate Cross-Functionally:
  Work closely with researchers, data scientists, and engineering teams in a collaborative, globally distributed environment.

• Drive Agile Execution:
  Contribute in a fast-paced, iterative environment with a strong focus on timely delivery and continuous improvement.

• Innovate & Experiment:
  Explore new technologies and approaches, contributing to the evolution of platform capabilities and engineering practices.

• Communicate Effectively:
  Clearly articulate technical concepts and solutions to both technical and non-technical stakeholders.
  
  

• Bachelor's degree in Computer Science or a related field (or equivalent experience)
• 5 years of software engineering experience
• 2 years delivering production-grade machine learning solutions
• Strong proficiency in Python and its ecosystem
• Experience building clean, maintainable, and well-tested code
• Proven ability to quickly adopt new technologies to solve complex challenges
• Experience working closely with data science teams to productionize research
• Hands-on experience with cloud environments (preferably AWS)
• Familiarity with Agile methodologies, CI/CD, DevOps, and SDLC best practices
• Strong interest in practical applications of machine learning
  
  

• Experience integrating ML models into production systems (e.g., scikit-learn, XGBoost)
• Exposure to big data platforms (e.g., Snowflake) and scalable SQL
• Understanding of MLOps / ModelOps principles
• Experience with entity matching or entity resolution at scale
• Ability to bridge research and engineering workflows effectively
• Experience with additional programming languages (e.g., Java, Scala, Rust, TypeScript)

If you're a hands-on engineer who enjoys turning cutting-edge research into production-ready systems, this is an excellent opportunity to make a measurable impact.