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Software Engineering Expert: Building Scalable Solutions
2 weeks ago
About the Role
We are seeking an experienced Machine Learning Engineer to join our growing Data Science Engineering team. As a key member of our team, you will work closely with engineers, data scientists, product managers, and analytics professionals to deliver valuable and innovative outcomes for our customers.
Key Responsibilities
- You will work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations.
- You will contribute to the development of tools and platforms, code optimization, and deployment of solutions on the edge, cloud, and big-data environments.
- You will participate in group discussions on system design and architecture, working alongside our Data Scientists, Software Engineers, and Product teams across the software lifecycle.
- You will deliver high-quality code and solutions, bringing them into production, performing code reviews to optimize technical performance of data science solutions.
Requirements
- 4-5 years of experience working as a ML Engineer or Software Engineer or Python Engineer.
- Strong Software Engineering skills, with experience of different programming languages and a good grasp of at least one language, ideally Python.
- Awareness of emerging MLOps practices and tooling would be an advantage e.g. feature stores and model lifecycle management.
- Demonstratable experience of building scalable and resilient systems.
- Commercial experience contributing to the success of high-impact Data Science projects within complex organizations.
Benefits
- Permanent contract from the start.
- Up to 20% yearly salary bonus.
- IP Tax Deductible Costs.
- MacBook as your tool for work.
- Private healthcare.
- Cafeteria & Multisport.
- Learning opportunities - certified technical training and learning platforms like Udemy, Pluralsight, and O'reily.
