1 to 25 of 271 MLOps Jobs in the UK excluding London

guiding teams in the effective use of these tools. Extensive expertise in designing, deploying, and maintaining production-grade AI/ML solutions, including pipelines, MLOps practices (e.g., CI/CD pipelines, model versioning, monitoring), and seamless integration with enterprise systems such as Workday. Extensive experience designing and implementing generative ...

guiding teams in the effective use of these tools. Extensive expertise in designing, deploying, and maintaining production-grade AI/ML solutions, including pipelines, MLOps practices (e.g., CI/CD pipelines, model versioning, monitoring), and seamless integration with enterprise systems such as Workday. Extensive experience designing and implementing generative ...

efficient, and maintainable code for production grade AI solutions.Hands-on experience deploying AI/ML models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring.Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker ...

efficient, and maintainable code for production grade AI solutions.Hands-on experience deploying AI/ML models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring.Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker ...

validation and monitoring frameworks to ensure AI model performance, reliability and ongoing optimisation. You’ll establish and promote best practices for AI data pipelines, MLOps/AIOps, cloud infrastructure alignment and scalable architecture design. You’ll collaborate with Data Science, Data Engineering, Software Engineering and Enterprise Architecture teams to deliver ...

validation and monitoring frameworks to ensure AI model performance, reliability and ongoing optimisation. You'll establish and promote best practices for AI data pipelines, MLOps/AIOps, cloud infrastructure alignment and scalable architecture design. You'll collaborate with Data Science, Data Engineering, Software Engineering and Enterprise Architecture teams to deliver ...

testing, validation and monitoring frameworks to ensure AI model performance, reliability and ongoing optimisation.You’ll establish and promote best practices for AI data pipelines, MLOps/AIOps, cloud infrastructure alignment and scalable architecture design.You’ll collaborate with Data Science, Data Engineering, Software Engineering and Enterprise Architecture teams to deliver ...

.Experience building and deploying Generative AI solutions, including prompt engineering, fine-tuning, and evaluation of large language models (LLMs) or other generative architectures.Understanding of MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure ...

.Experience building and deploying Generative AI solutions, including prompt engineering, fine-tuning, and evaluation of large language models (LLMs) or other generative architectures.Understanding of MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure ...

.Experience building and deploying Generative AI solutions, including prompt engineering, fine-tuning, and evaluation of large language models (LLMs) or other generative architectures.Understanding of MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure ...

.Experience building and deploying Generative AI solutions, including prompt engineering, fine-tuning, and evaluation of large language models (LLMs) or other generative architectures.Understanding of MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure ...

.Experience building and deploying Generative AI solutions, including prompt engineering, fine-tuning, and evaluation of large language models (LLMs) or other generative architectures.Understanding of MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure ...

maintainable code for production-grade AI solutions.Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring.Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such ...

maintainable code for production-grade AI solutions.Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring.Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such ...

code for production-grade AI solutions. Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such ...

code for production-grade AI solutions. Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such ...

PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps tooling and infrastructure as code Exposure to Generative ...

Statistics. Proven track record of delivering data science projects, especially in enterprise software or SaaS environments. Basic familiarity with CI/CD pipelines and MLOps practices, including automated testing, model versioning, and monitoring workflows. Hands-on experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes) to support AI/ ...

Statistics. Proven track record of delivering data science projects, especially in enterprise software or SaaS environments. Basic familiarity with CI/CD pipelines and MLOps practices, including automated testing, model versioning, and monitoring workflows. Hands-on experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes) to support AI/ ...

incident management Experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX Exposure to LLMs, RAG, Agentic AI, model serving, or MLOps environments What's on Offer? Work on innovative AI and Agentic AI solutions Hybrid working from London 12-month initial contract Inside IR35 Opportunity to contribute ...

Computer Science, Machine Learning, or related field Nice to Have Published research in top ML venues (NeurIPS, ICML, ACL, CVPR). Experience with MLOps tools: MLflow, Weights & Biases, DVC. Familiarity with distributed training frameworks (DeepSpeed, Horovod). Experience with LLM fine-tuning and prompt engineering. Contributions to open-source ...

system design. Experience deploying and operating AI and machine learning services in production, including API-based architectures and cloud-hosted workloads. Practical experience with MLOps and AI lifecycle management, including data, model and environment versioning, automated deployment pipelines, monitoring and model retraining workflows. Experience leading complex technical projects from initial ...

Job Type: Permanent Build a brilliant future with Hiscox Company description Hiscox is a diversified international insurance group with a powerful brand, strong balance sheet and plenty of room to grow. Listed on the London ...

experience and a track record of building deployment and release automation Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing) and production incident response Experience operating ML/LLM workloads in production (LLMOps, inference reliability, cost/ ...

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 ...