Salary: £60,000 - 60,000 per year
Requirements:
- Experience in a similar Machine Learning or MLOps role
- Experience building and maintaining scalable data pipelines and ML platforms
- Strong understanding of software engineering best practices, including clean code, SOLID principles, and design patterns
- Strong Python coding skills
- AWS experience
- Ability to investigate system performance and optimise data pipelines and workflows
- Familiarity with containerisation, including Docker, and CI/CD tools
- Degree educated in a relevant STEM discipline
Responsibilities:
- Build and maintain ML infrastructure
- Deploy and monitor models
- Develop CI/CD pipelines
- Improve MLOps processes
- Refactor code and add new capabilities to existing ML services
- Work mainly on engineering tasks, with exposure to model development
- Contribute to the development of data science skills over time
Technologies:
- AI
- AWS
- CI/CD
- Docker
- Support
- Machine Learning
- Python
- Cloud
More:
We are a multi-award-winning company developing bleeding‑edge, machine learning and AI‑powered audio fraud detection software used by UK banks, the emergency services, and other clients to prevent and detect fraudulent call activity. We offer an open, collaborative environment with strong learning and personal development opportunities, a robust pipeline of projects, flexible working, and a range of benefits. We have been awarded Platinum standard by Investors in People and support diverse, inclusive team culture, personal growth, and career development. The role is based in London with office time twice a week and the flexibility to work from home on other days. Benefits include a competitive salary up to £60k plus bonus, 25 days holiday with the option to buy 5 more, enhanced maternity and paid parental leave, charity time off, pension, life assurance, medical care, a monthly wellness budget, gym membership, and an annual home office budget.
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