Belfast, Northern Ireland, United Kingdom

Data Science, Manager

Salary: unknownMidData and machine learning

PythonSQLCI/CDLLMDatabricksSnowflakeMLflowAWSSparkJiraStatistical analysisStakeholder management

Original posting ↗Apply ↗Company job board ↗See this job in Telegram

Axiom, a company in consulting, agencies and business services, has an open position for Data Science, Manager. The job is based in Belfast, United Kingdom. Our labels mark it as a mid-level role in data and machine learning. The stack in the posting includes CI/CD, LLM, Databricks, Snowflake, MLflow and AWS. It asks for 2+ years of experience. A university degree is required. Axiom has 6 open positions on this site, 1 of them in IT and engineering.

Posted today · Last checked 2026-11-07

About Axiom

Consulting, agencies and business services Non-tech company 6 open positions, 17% in IT and engineering. Most open roles: Sales (4), Data and machine learning (1), People / HR / recruiting (1).

All open jobs at Axiom →

Similar jobs

Forward Deployed Engineer - ML (London)Modal · LondonOn-site Staff AI Research Engineer - Computer VisionHelsing · Munich - Berlin - London - Paris Staff AI Research Engineer - 3D Computer VisionHelsing · Munich - Berlin - London - Paris AI Research Engineer - ML & Signal ProcessingHelsing · Munich - Berlin - London - Paris Lead Data ScientistFaculty · LondonHybrid Data AnalystConnor, Clark & Lunn Financial Group Ltd. · London, England, United KingdomHybrid Senior Data Scientist - Credit Risk Modellingiwoca · LondonGBP 90K–130K / year Data Scientist - Credit Risk Modellingiwoca · LondonGBP 60K–90K / year

288 open data and machine learning jobs in the United Kingdom All open jobs at Axiom →

Workplace	Workplace not stated
Seniority	Mid
Role	Data and machine learning
Countries	United Kingdom
Languages	PythonSQL
Key facts	Stack: Python, SQL, CI/CD, LLM, Databricks, Snowflake, MLflow, AWS, Spark, Jira · Experience: 2+ years · Degree required

The full description is on the original posting. Labels are set automatically and can be wrong. About the data