25 of 25 Permanent MLOps Jobs in the South West

Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging AI frameworks What's On Offer? Opportunity ...

large-scale indexing. AI Frameworks: Exposure to LangChain, LlamaIndex, or Hugging Face libraries for integrating Large Language Models (LLMs) into production applications. Model Ops (MLOps): Understanding the lifecycle of a model—from deployment and monitoring to versioning—using tools like MLflow or Kubeflow. Desired Experience & Context UK NatSec Landscape: Proven ...

Graphcoreis one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of ...

already hold it even better. Desirable Experience with optical sensors. Camera optical frame processing. Knowledge of coordinate systems used in computer vision and robotics. MLOps experience. How to apply If this sounds like the right next step for you, apply now with your CV or get in touch with Laurence ...

rich environments. Knowledge of Large Language Models (LLMs), agentic AI workflows, autonomous agents or advanced AI applications. Experience deploying and operating solutions through AWS, MLOps or DevOps practices. The ability to work across the full lifecycle, from problem definition and experimentation through to production deployment. A pragmatic approach to problem ...

cross‐functional work collaborating with other teams. Strong communicator – able to explain complex technical concepts to different audiences. Experience in one or more of: MLOps for Kubernetes‐based clusters Building production systems with large language models Efficient computing based on low‐precision arithmetic. Experience writing C++/Triton/CUDA ...

Skills & Experience: Significant industry experience in software development Proven experience building production APIs with FastAPI (or similar async Python frameworks) Experience with DevOps and MLOps Degree-level qualification in computer science or related field Professional experience with collaborative software development Deep understanding of Python Familiarity with Linux, bash ...

fundamentals. Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing ...

skills Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus ...

tested, and well-documented code suitable for long-term ownership and handover. Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures. Be able to work with state-of-the-art ML libraries to deliver powerful results quickly. Exceptional problem-solving ...

A cutting-edge AI technology company is looking for a skilled Software Infrastructure Engineer to join their dynamic team in Bristol. The role involves developing essential tools for enhancing the AI software development lifecycle, managing ...

ability to guide and coach the teamExcellent Python coding practice, including ML libraries such as HuggingFace, TensorFlow and PyTorchExperience building robust ML pipelines with MLOps tools for model training, monitoring and deploymentExperience with version control and environment management (e.g. venvs, Docker)Expert knowledge of AI/ML algorithms across different ...

learning to business problems and communicate findings clearly. Experience with cloud deployment, commercial development and tuning of machine learning models, API development, SQL, DevOps, MLOps or CI/CD would be useful. A relevant graduate or postgraduate qualification, or equivalent experience in a discipline such as engineering, mathematics, physics ...

Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers Research and prototyping Benefits: Annual Company Bonus – Based on company performance 25 Days holiday not including bank holidays ...

tested, and well-documented code suitable for long-term ownership and handover. Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures. Be able to work with state-of-the-art ML libraries to deliver powerful results quickly. Comfortable working ...

expect you to have all of these, and we’ll help you build the rest: Algorithms : multi-object tracking, camera calibration, homography transforms MLOps: model evaluation and monitoring in production Programming languages: Go Tooling: building tools used by other teams Hardware: physical systems or robotics, cameras and lenses Commercial awareness ...

across backend and cloud systems. Contributing deep expertise in Python and ensuring adherence to clean code and architectural principles. Leveraging knowledge of DevOps and MLOps practices to improve system reliability and deployment workflows. Championing “Scrum” and playing a key role in refining agile processes and team collaboration. Working closely with ...

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 ...

Master’s degree in Engineering , or equivalent military experience . Experience deploying, maintaining, or supporting AI solutions in production environments Exposure to MLOps, cloud platforms, or AI deployment pipelines Experience working with international or globally distributed teams Knowledge of software deployment and operational support practices Additional Information We bring together ...

Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS-based infrastructure you will apply modern MLOps/LLMOps tooling to run rigorous experiments, track results, and deliver scalable solutions. A key aspect to the role is to balance rapid experimentation with … methodology, and statistical evaluation Proven track record transitioning models from experimentation to production with appropriate governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such ...

NIST AI Risk Management Framework, ISO 27001 or UK GDPR. Experience with Microsoft Purview, Microsoft Fabric, Azure ML, Databricks, Collibra or Alation. Exposure to MLOps, AI model monitoring and automated governance processes. Experience working within secure or restricted technology environments. ...

commercial deployment, focusing on performance, reliability, and maintainability. Key qualifications include expertise in TensorFlow and Python, experience in API development, and familiarity with MLOps practices. Joining means working on cutting-edge ML solutions and collaborating with experts across various fields. #J-18808-Ljbffr ...

We are hiring an AI Engineer to design and build the embedded software, data pipelines and machine learning systems behind our sensing and communications technology. You will take ideas from a clean sheet through to ...

technologies that businesses can use to automate tasks and gain insights from their data. Key responsibilities include building complex models, designing and managing MLOps pipelines for CI/CD, monitoring, and model retraining. Mentoring junior members, influencing technical decisions within the team, and handling complex, non-routine problems. Our work … deploy complex machine learning models, ensuring high standards of quality, performance, and scalabilityDecide what model is most suitable for use in products and services MLOps Pipeline Management: Design and manage robust MLOps pipelines, including continuous integration/continuous delivery (CI/CD), monitoring, and model retraining, to ensure efficient ...

technologies that businesses can use to automate tasks and gain insights from their data. Key responsibilities include building complex models, designing and managing MLOps pipelines for CI/CD, monitoring, and model retraining. Mentoring junior members, influencing technical decisions within the team, and handling complex, non-routine problems. Our work … deploy complex machine learning models, ensuring high standards of quality, performance, and scalabilityDecide what model is most suitable for use in products and services MLOps Pipeline Management: Design and manage robust MLOps pipelines, including continuous integration/continuous delivery (CI/CD), monitoring, and model retraining, to ensure efficient ...