9 of 9 Permanent MLOps Jobs in the South West

production-ready systems. Academic Foundation Bachelors or Masters degree in Computer Science, Machine Learning, Engineering , or a closely related discipline. Bonus Points Experience with MLOps and model serving platforms such as BentoML, MLflow, or SageMaker . Hands-on work with streaming and batch data pipelines using tools like Spark, Airflow ...

technical challenges Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical discipline Bonus Skills/Experience Understanding of MLOps, model serving, scaling and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker) Experience building streaming + batch data ingestion and transformation pipelines (Spark/ ...

environment Strong problem‐solving skills and attention to detail Desired Skills: Experience with cloud‐based ML services (AWS SageMaker, Azure ML, Databricks) Familiarity with MLOps practices and model lifecycle management Experience with NLP, deep learning, or computer vision Knowledge of data visualisation tools (Power BI, Tableau) Exposure to big‐data ...

Architect secure, scalable GenAI solutions on AWS and GCP Build APIs, services, and pipelines to integrate GenAI into real business workflows Apply LLMOps/MLOps practices : versioning, monitoring, cost control, bias, and drift management Work directly with clients to translate business problems into deployable AI solutions , not slide decks Contribute ...

personal to all of us.” – Julie Sweet, Accenture CEO. We are a dynamic team of specialists in Data Science, Data Engineering, and MLOps, dedicated to delivering cutting-edge AI solutions within secure government and defence environments. Join us to be part of an inclusive and collaborative environment where innovation thrives ...

Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps/AIOps), rather than building ML applications from scratch. Key Responsibilities Design and develop machine learning operational processes across diverse client environments Analyse client requirements … using AWS CDK Collaborate closely with data scientists to productionise ML models Required Experience & Skills Proven experience deploying AI/ML models into production (MLOps/AIOps) Strong AWS experience (other cloud platforms will not be considered) Experience with CI/CD pipelines for ML/DL models Proficiency ...

requires a communicative Head of Machine Learning to lead the delivery and scaling of our Machine Learning products. The role assists with model quality, MLOps implementation, and the transition from R&D to production, working closely with Product, R&D, and Engineering leadership. They will lead and support team leads … Nvidia TAO (TLT). Working knowledge of core AWS concepts and services such as EC2, ECS, EKS, or Cloudwatch. Good knowledge of DevOps and MLOps tools, including usage of CI/CD pipelines (e.g. GitHub Actions). Technical understanding of CNNs including YOLOv4/v5, Detectron2 or similar. Technical knowledge ...

C#/.NET services. Performance & Scalability : Optimize GPU/CPU utilization, batching strategies, and memory management. Plan for multi-model and multi-tenant scenarios. MLOps & Lifecycle Management : Implement model versioning, artifact registries, and deployment workflows. Set up monitoring, logging, and alerting for solver performance. Security & Compliance : Apply best practices … performance profiling. Architecture : Proven experience designing scalable ML systems for production. APIs : Proficiency in gRPC/Protobuf and REST for cross-language integration. MLOps : CI/CD pipelines, containerization (Docker/Kubernetes), model registries, reproducibility. Performance Optimization : GPU acceleration (CUDA/cuDNN), mixed precision, XLA, profiling. Observability : Metrics, tracing, structured ...

Machine Learning Engineer - Remote - £50-£70k + excellent benefits We're looking for a skilled Machine Learning Engineer to join a newly established team working on an exciting data platform project. This is a hands ...