13 of 13 Permanent ModelOps Jobs in the UK

CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps, DevOps, ModelOps, and LLMOps to standardize and accelerate the AI/ML life cycle. Collaborate with Data Scientists and teams across Front Office Quant teams, Sales/ More ❯

in development of an application. Preferred Skills and Experience: Have experience integrating Machine Learning solutions into production-grade software and have an understanding of ModelOps and MLOps principles Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information More ❯

concepts Experience mentoring teams and guiding project roadblocks Ability to communicate updates to stakeholders Preferred skills & experience: Experience integrating ML solutions into production, with ModelOps and MLOps principles Exposure to NLP tasks like NER, Information Extraction, Retrieval Hands-on experience with other programming languages (Java, TypeScript, JavaScript) What's in More ❯

services across global business units. Implement strategies to enhance platform reliability and resilience, proactively addressing potential challenges. LLMOps Implementation Develop and operationalize Large Language Model Operations (LLMOps) practices, encompassing model deployment, monitoring, versioning, rollback, and performance tuning at scale. Ensure efficient management of AI models to maximize their effectiveness and More ❯

services across global business units. Implement strategies to enhance platform reliability and resilience, proactively addressing potential challenges. LLMOps Implementation Develop and operationalize Large Language Model Operations (LLMOps) practices, encompassing model deployment, monitoring, versioning, rollback, and performance tuning at scale. Ensure efficient management of AI models to maximize their effectiveness and More ❯

services across global business units. Implement strategies to enhance platform reliability and resilience, proactively addressing potential challenges. LLMOps Implementation Develop and operationalize Large Language Model Operations (LLMOps) practices, encompassing model deployment, monitoring, versioning, rollback, and performance tuning at scale. Ensure efficient management of AI models to maximize their effectiveness and More ❯

model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. AI-driven business intelligence & reporting. Observability & FinOps for AI/GenAI. Cloud Infrastructure, Networking, & Security for AI. Aligning GenAI Architectures Across Organizations: Experience More ❯

scalability, and optimal performance ofGenAI services across global businessunits. Implement strategies to enhance platformreliability and resilience, proactively addressing potentialchallenges. LLMOpsImplementation Develop andoperationalize Large Language Model Operations (LLMOps) practices,encompassing model deployment, monitoring, versioning, rollback,and performance tuning at scale. Ensureefficient management of AI models to maximize their effectivenessand businessimpact. ServiceManagement More ❯

scalability, and optimal performance ofGenAI services across global businessunits. Implement strategies to enhance platformreliability and resilience, proactively addressing potentialchallenges. LLMOpsImplementation Develop andoperationalize Large Language Model Operations (LLMOps) practices,encompassing model deployment, monitoring, versioning, rollback,and performance tuning at scale. Ensureefficient management of AI models to maximize their effectivenessand businessimpact. ServiceManagement More ❯

scalability, and optimal performance ofGenAI services across global businessunits. Implement strategies to enhance platformreliability and resilience, proactively addressing potentialchallenges. LLMOpsImplementation Develop andoperationalize Large Language Model Operations (LLMOps) practices,encompassing model deployment, monitoring, versioning, rollback,and performance tuning at scale. Ensureefficient management of AI models to maximize their effectivenessand businessimpact. ServiceManagement More ❯

scalability, and optimal performance ofGenAI services across global businessunits. Implement strategies to enhance platformreliability and resilience, proactively addressing potentialchallenges. LLMOpsImplementation Develop andoperationalize Large Language Model Operations (LLMOps) practices,encompassing model deployment, monitoring, versioning, rollback,and performance tuning at scale. Ensureefficient management of AI models to maximize their effectivenessand businessimpact. ServiceManagement More ❯

Please visit our careers site to find out more about working at Ki. Job Details: Senior Software Engineer, ML Ops Vacancy Name: Senior Software Engineer, ML Ops Employment Type: Permanent Location: London Role Details Who are we? Look at the More ❯

GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a highimpact role at the intersection of More ❯