6 of 6 MLOps Jobs in Kent

Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is £65,000, with More ❯

Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is £65,000, with More ❯

Data Scientist - Gen AI/MLOps - Bristol & Kent Locations Competitive annual salary of between £50,000 and £65,000 dependent on experience. Hybrid working - Bristol or Tunbridge Wells office base (2 days a week currently, expected to increase to 3 days). No Visa Sponsorship Available - All applicants must have full and indefinite right to work in the UK. Working … development of cutting-edge solutions that improve the health and well-being of their customers. Working on some extremely exciting projects in the healthcare sector, using Generative AI and MLOps techniques to progress and develop your career in Data Science. What you’ll be doing: Gather and clean large volumes of structured and unstructured data from various sources. Apply statistical … data into actionable insights for the business. Strong working knowledge of Python and data science packages such as Scikit learn, Keras, TensorFlow and PySpark. Good understanding of industry standard MLOps capabilities. Understanding of the financial industry, in particular insurance, would be advantageous. If you’re excited about the prospect of using data to make a meaningful difference in people's More ❯

data models, pipelines, and AI frameworks for ingestion, storage, and processing. Build real-time and batch data solutions using Spark, Kinesis, and Pub/Sub. Develop machine learning pipelines, MLOps best practices, and automated model deployment. Architect cloud-based data lakes, warehouses, and AI-driven analytics platforms. Champion compliance to data governance, privacy, and security standards (GDPR, ISO 27001, NIST More ❯

AI features, including retrieval-augmented generation (RAG), internal LLM-based tools, and content delivery workflows. Experience with vector stores, agent frameworks, or scalable data workflows is all relevant here. MLOps & Deployment: Build and maintain the infrastructure behind our AI stack – including serving models via APIs, monitoring performance, and deploying systems to the cloud. AWS is a plus, but experience with More ❯

AI features, including retrieval-augmented generation (RAG), internal LLM-based tools, and content delivery workflows. Experience with vector stores, agent frameworks, or scalable data workflows is all relevant here. MLOps & Deployment: Build and maintain the infrastructure behind our AI stack – including serving models via APIs, monitoring performance, and deploying systems to the cloud. AWS is a plus, but experience with More ❯