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# Senior Data Scientist

- **Company:** Unitedkingdom
- **Location:** Belfast, UK
- **Experience:** Expert
- **Salary:** £95,000.0 - £110,000.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Java (Programming Language), Artificial Intelligence, BigQuery, Cloud Computing, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Azure Machine Learning, Management of Software Versions, Google Cloud, Feature Engineering, Large Language Models, Kubernetes, Information Technology, Low Latency, Machine Learning Operations, Data Pipelines, Docker
- **Published:** September 11, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-data-scientist/46548739

## About the Role

production-grade practices Work closely with infrastructure and release teams, absorbing ML serving and pipeline work across the team What You'll Need Essential: Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience 5 or more years across data engineering and ML production engineering, including 2 or more years in MLOps or ML production systems Hands-on production experience with Google Cloud Platform, specifically Vertex AI and BigQuery Strong experience building data and feature pipelines for ML training Experience with ML pipeline tooling such as MLflow, Kubeflow or Vertex AI, and CI/CD for model lifecycle management Experience with Docker, Kubernetes and cloud infrastructure Proven track record owning production incidents including detection, mitigation and rollback Strong Python, Go or Java fundamentals Experience mentoring engineers and influencing technical direction Desirable: Experience operating LLM or agent-based systems in
production including LLMOps Direct experience partnering with data scientists on feature engineering or model training Master's degree in a relevant field Why Apply? Salary of £95,000 to £110,000 Newly created senior role with full ownership of ML platform strategy and production reliability Work at the cutting edge of MLOps, LLM deployment and agentic AI in production Close-knit engineering team with a strong culture of technical excellence and mentorship Belfast based at a business genuinely pushing the boundaries of intelligent software Interested? For a confidential conversation about this opportunity, connect with Justin Donaldson on LinkedIn or submit your CV via the link below. Skills: LLM MLOps GCP Python CI/CD

## Description

experimental models and agentic workflows into robust, reproducible pipelines. Alongside delivery, you will establish observability standards, lead deployment practices, contribute to platform roadmap development and mentor engineers across the team. This role suits someone equally comfortable in the weeds of a training pipeline and setting technical direction for a growing platform. Key Responsibilities Build and maintain reliable, reproducible pipelines for training data, feature generation and embeddings Partner with data scientists to make training pipelines robust and easy to iterate on Own reliability, monitoring and incident response for ML models and agents in production, including CI/CD, versioning, canary deployment and rollback Build observability into ML services covering latency, error rates, drift detection and quality regressions Contribute to the one to two year roadmap for the data and ML platform Set engineering standards, conduct design reviews and mentor engineers on


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