Key skills
AWSCloudPySparkPythonPyTorchSQLAIMachine LearningMLMLflow
About this role
Role Overview
- Design, develop, and deploy models and pipelines for RealityMine’s RealLife App and Web products
- Work with stakeholders to scope requirements and optimise performance
- Ensure systems scale to handle Big Data
- Discover and define problems, clean and prepare data
- Develop, test, and deploy models into production environments
- Collaborate with data engineers and product teams
- Investigate and troubleshoot customer feedback on data quality
- Promote best practices in ML engineering and data quality
Requirements
- 2–3 years of production experience in machine learning systems
- Proficiency in Python and SQL for analysis, model development, and data interrogation
- Strong knowledge of PyTorch or similar ML frameworks
- Experience handling large datasets and distributed processing with PySpark or similar is desirable
- Experience of experimentation tools such as MLflow is a bonus
- Comfort with deploying ML models into production environments
- Familiarity with AWS or similar cloud vendor
- A methodical, problem-solving mindset with high attention to detail
- Ability to scope, define, and deliver complex solutions independently
- Self-motivated, accountable, and keen to continuously learn and grow
- Experience using AI tools to enhance productivity and quality
Tech Stack
- AWS
- Cloud
- PySpark
- Python
- PyTorch
- SQL
Benefits
- 25 days of paid holiday, plus bank holidays
- Buy or sell up to 5 days of annual leave after two years
- Life assurance
- Workplace pension with employer contributions
- Bonus scheme
- Cycle to Work Scheme
- One-to-one coaching
- Budget for training programs
- Flexible start and finish times