Company:
Opus Recruitment Solutions
Location: London
Closing Date: 08/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Software Engineer (ML) Opportunity
Are you a seasoned Machine Learning Engineer with a background in software development and a history of crafting production-level applications? Type : Permanent, Full-time (2-year term)
Compensation : Locale : London Docklands - Hybrid
Our Machine Learning department is expanding, and we’re in search of a Machine Learning Engineer with a solid track record in the creation and implementation of Machine Learning workflows. Your mission will involve enhancing our NLP and General AI systems to streamline our operational processes. You’ll be tasked with architecting and coding General AI application frameworks, as well as refining and overseeing our current ML and data transformation workflows, including ML Ops management.
Implement LLM and General AI automations to elevate the customer experience
Oversee and refine existing machine learning workflows
Construct data transformation and inference workflows
Develop APIs to seamlessly integrate ML models into broader applications
Identify ML and Intelligent Automation prospects with the business and project teams, capturing and interpreting business needs
Assure the quality of machine learning code produced by peers
Coordinate with the IT infrastructure manager for the upkeep of Intelligent Automation infrastructure components
Document and agree upon development hours and story points, ensuring alignment with testing duration expectations
Address daily operational challenges in collaboration with the IT team, including developers, architects, administrators, and team leaders
Proficient in Python programming
Experience in crafting serverless workflows on Azure, AWS, or GCP
Skilled in developing data transformation pipelines utilizing SQL and NoSQL databases
Competent in establishing CI/CD pipelines using Jenkins, Azure DevOps, or GitHub Actions, and ML Ops workflows in Azure ML, SageMaker, or Vertex AI
Prior involvement in NLP application development is advantageous
Familiar with agile development methodologies
Able to estimate project costs and development timelines
COMPREHENSIVE BENEFITS PACKAGE
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