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| Job Location | London |
| Education | Not Mentioned |
| Salary | £475 - £500 per day |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Contract, full-time |
AI/ML Azure MLOps Engineer needed for a leading Financial Services Company in LondonIntroduction:We are currently seeking an experienced and highly skilled AI/ML Azure MLOps Engineer to join our client, one of the leading financial services companies based in London. The successful candidate will be responsible for developing, testing, deploying and maintainingmachine learning models on Microsofts cloud platform -Azure.Key Responsibilities:- Develop end-to-end solutions that leverage advanced analytics techniques such as deep learning- Implement DevOps principles and practices including CI/CD pipelines - Use infrastructure-as-code (IaC) especially Terraform to automate deployment processes.- Deploy containerization technologies like Docker or Kubernetes Qualifications & Skills required:AI/Machine Learning - In-depth knowledge of artificial intelligence/machine language concepts is essential along with experience implementing ML algorithms using Python libraries e.g scikit learn or TensorFlow.MLOPS - Familiarity with Machine Learning Operations which include model versioning control , monitoring metrics etcMicrosoft Stack Technologies - Experience working extensively within MS ecosystem particularly around building distributed systems utilizing various tools from its stack Devops Practices : Knowledgeable about Continuous Integration / Deployment best practices specifically related to data science workflows Infrastructure As Code(IAC): Strong familiarity writing code scripts mostly via terrafromContainerisation Technology Hands-on experience creating docker containers,dockerizing applicationsRate :£500 per day, (outside IR35)Contract Basis6 Month ContractSpecialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.To find out more about Huxley, please visit www.huxley.com