MLOps Engineer

2 months ago

London, Greater London, United Kingdom Causaly Full time
About Causaly

Causaly is a cutting-edge technology company that accelerates knowledge acquisition and improves decision-making in Biomedicine. Our production-grade generative AI platform enables thousands of scientists to discover evidence from millions of academic publications, clinical trials, regulatory documents, patents, and other data sources in minutes.

We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety, and Competitive Intelligence. Our mission is to accelerate scientific breakthroughs for ALL humankind.

The Role

We are seeking an experienced MLOps Engineer to join our team as a Data Infrastructure Specialist. As a key member of our engineering team, you will be responsible for designing, developing, and maintaining the infrastructure and tools that support our machine learning models.

**Key Responsibilities:**

  • Design, implement, and maintain our ML infrastructure, including data pipelines, model training, and deployment workflows
  • Develop and maintain tools for automating ML workflows, such as data pre-processing, feature engineering, and model evaluation
  • Collaborate with stakeholders to optimize model performance, scalability, and reliability in production, including monitoring, logging, and troubleshooting
  • Develop and maintain data quality checks and data validation pipelines
  • Implement and maintain data versioning and data lineage tracking
  • Stay up-to-date with the latest developments in ML Ops and recommend best practices and new technologies to the team

**Requirements:**

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Applied industry experience in MLOps, DevOps, or a related field
  • Excellent programming skills in Python, with experience in ML frameworks
  • Experience with containerization
  • Experience with data pipelines, data warehousing, and ETL processes
  • Experience with data versioning and data lineage tracking
  • Strong understanding of ML model deployment, scaling, and management
  • Excellent problem-solving skills, with the ability to debug complex issues
  • Strong communication and collaboration skills, with the ability to work with cross-functional teams
  • Experience with agile development methodologies and version control systems such as Git

**Preferred Qualifications:**

  • Experience with MLOps platforms such as MLflow, TensorFlow Extended (TFX), or Kubeflow
  • Experience with DevOps tools such as Jenkins, GitLab CI/CD, or CircleCI
  • Experience with BigQuery
What We Offer

We offer a competitive compensation package, private medical insurance, life insurance, individual training/development budget, individual wellbeing budget, 25 days holiday plus public holidays and 1 day birthday leave per year, hybrid working, and the potential to have real impact and accelerated career growth as an early member of a multinational team that's building a transformative knowledge product.

We value diversity, equity, and inclusion and are committed to creating a workplace where everyone belongs. We are an equal opportunity employer and welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.

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