9 of 9 Permanent MLOps Jobs in the East Midlands

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 ❯

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 ❯

independently in a hybrid or remote environment. Experience working in agile environments and iterating based on user feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on More ❯

inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle More ❯

inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle More ❯

Machine Learning Operations (ML Ops) Engineer Machine Learning Operations (ML Ops) Engineer 1 day ago Be among the first 25 applicants About Machine Learning Operations (MLOps) Engineer Flexible Location – Ipswich, London or Selby Permanent, full time Closing date - 2 July 2025 Who we are We’re not just talking about making a difference, we’re making it happen. We generate … stable energy in an uncertain world. Building on our proud heritage, we have ambition to become the global leader in sustainable biomass and carbon removals. About Machine Learning Operations (MLOps) Engineer Flexible Location – Ipswich, London or Selby Permanent, full time Closing date - 2 July 2025 Who we are We’re not just talking about making a difference, we’re making … enabling a zero carbon, lower cost energy future for all, and working hard to decarbonise the planet for generations to come. About The Role As a Machine Learning Operations (MLOps) Engineer, you’ll be responsible for managing, releasing and monitoring Machine Learning (ML) and Artificial Intelligence (AI) artefacts using automated frameworks. You’ll also optimise ML/AI code written More ❯

Machine Learning Operations (ML Ops) Engineer Machine Learning Operations (ML Ops) Engineer 2 days ago Be among the first 25 applicants About Machine Learning Operations (MLOps) Engineer Flexible Location – Ipswich, London or Selby Permanent, full time Closing date - 2 July 2025 Who we are We’re not just talking about making a difference, we’re making it happen. We generate … stable energy in an uncertain world. Building on our proud heritage, we have ambition to become the global leader in sustainable biomass and carbon removals. About Machine Learning Operations (MLOps) Engineer Flexible Location – Ipswich, London or Selby Permanent, full time Closing date - 2 July 2025 Who we are We’re not just talking about making a difference, we’re making … enabling a zero carbon, lower cost energy future for all, and working hard to decarbonise the planet for generations to come. About The Role As a Machine Learning Operations (MLOps) Engineer, you’ll be responsible for managing, releasing and monitoring Machine Learning (ML) and Artificial Intelligence (AI) artefacts using automated frameworks. You’ll also optimise ML/AI code written More ❯