11 of 11 Permanent MLOps Jobs in the South West

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/ ...

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 ...

internal stakeholders Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment Experience of appropriate version control and environment management (such as venvs or Docker) Experience of writing technical project proposals ...

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 ...

concept to production Establish AI operating models, best practices, and responsible AI frameworks Build and lead high-performing multidisciplinary teams (Data Science, ML Engineering, MLOps) Identify use cases across functions (customer experience, operations, knowledge management, automation) Ensure scalability, security, and compliance of AI platforms Required Experience Proven leadership delivering Generative … deep learning, model optimisation Evaluation frameworks and guardrails Data & Platforms Vector databases (Pinecone, Weaviate, FAISS, Milvus) Knowledge graphs and semantic search Data engineering pipelines MLOps & Deployment CI/CD for ML, model monitoring, versioning Kubernetes, Docker, serverless architectures MLflow, Kubeflow, SageMaker or similar Cloud & Architecture Azure AI, AWS AI/ ...

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 ...

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 ...

prompt testing frameworks Monitor performance, cost, reliability, and drift in live environments Implement explainability and bias mitigation in sensitive domains Collaborate across AI, MLOps, Data, and Product teams Mentor junior engineers and help shape the team's AI best practices What we're looking for Hands-on experience shipping …/LLM models into production Strong knowledge of fine-tuning, RAG, agents and applied AI Experience with MLOps practices (CI/CD, monitoring, retraining, drift detection) Ability to turn research into robust, scalable solutions Passion for using technology to make a real difference. What you get: Salary ...

prompt testing frameworks Monitor performance, cost, reliability, and drift in live environments Implement explainability and bias mitigation in sensitive domains Collaborate across AI, MLOps, Data, and Product teams Mentor junior engineers and help shape the team's AI best practices What we're looking for Hands-on experience shipping …/LLM models into production Strong knowledge of fine-tuning, RAG, agents and applied AI Experience with MLOps practices (CI/CD, monitoring, retraining, drift detection) Ability to turn research into robust, scalable solutions Passion for using technology to make a real difference. What you get: Salary ...

prompt testing frameworks Monitor performance, cost, reliability, and drift in live environments Implement explainability and bias mitigation in sensitive domains Collaborate across AI, MLOps, Data, and Product teams Mentor junior engineers and help shape the team's AI best practices What we're looking for Hands-on experience shipping …/LLM models into production Strong knowledge of fine-tuning, RAG, agents and applied AI Experience with MLOps practices (CI/CD, monitoring, retraining, drift detection) Ability to turn research into robust, scalable solutions Passion for using technology to make a real difference. What you get: Salary ...