Conflicts Management • Time Management • Workflow • Experience Management • Terms Management
1001 - 5000
💰 Private Equity Round on 2017-04
September 26
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
Conflicts Management • Time Management • Workflow • Experience Management • Terms Management
1001 - 5000
💰 Private Equity Round on 2017-04
• Design and implement robust MLOps and LLMOps pipelines to automate and optimize machine learning model training, testing, deployment, and scaling • Collaborate with data scientists and software engineers to ensure operational criteria are met before deployment • Maintain and enhance continuous integration (CI) and continuous deployment (CD) environments for machine learning systems • Develop tools to improve visibility into the system's operation and to facilitate rapid troubleshooting and debugging • Foster a culture of continuous improvement by incorporating feedback and lessons learned into future ML deployments • Lead initiatives to increase the resilience and scalability of ML systems
• Bachelor’s degree in computer science, Engineering, Statistics, or a related field • Experience in software development or data engineering, with at least 3 years focused on MLOps or similar roles • Proven track record in designing and deploying scalable machine learning systems in production • Strong programming skills in Python and experience with ML frameworks and tools (e.g., TensorFlow, PyTorch, MLFlow, MetaFlow, vLLM, Kubeflow, Jupyter notebook, Azure ML Studio, Amazon Sagemaker, Apache Spark, Apache Flink) • Expertise in containerization technologies (e.g., Docker, Kubernetes) and automation tools (e.g., Jenkins, GitLab CI) • Excellent problem-solving skills and the ability to work independently or as part of a team • Bonus if you have: • Experience with data governance and ensuring compliance with data security regulations • Familiarity with performance tuning of big data technologies • LLM Model development
• Competitive base salary plus variable compensation and equity • Generous paid parental leave, including adoptive leave • Traditional comprehensive benefits, plus: • Generous Paid Time Off • Tuition reimbursement plan • Family Formation benefit offered by Carrot • Wellness programs and benefits provided by Modern Health • Paid volunteer time off and donation matching for the causes you care about • Opportunities for personal growth and professional development supported by a community of talented professionals • An open, collaborative environment where your background and contributions are valued • Experience at a growing public company where you can make an impact and achieve your goals • Open offices and kitchens stocked with beverages and snacks
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