1 to 25 of 109 MLOps Jobs in the UK excluding London

control. Strong communication skills, especially with non-technical customers. Desirable (SEO-Optimised) Experience with cloud platforms (AWS, Azure, GCP). Docker/Kubernetes & modern MLOps tooling. Experience across NLP, tabular modelling or computer vision. Exposure to LangChain, vector databases or AI-augmented development workflows. Benefits 35 days leave, including public ...

call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi ...

call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi ...

call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi ...

call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi ...

call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi ...

call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi ...

call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi ...

call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi ...

call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi ...

call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi ...

call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi ...

call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling). Knowledge of data governance, model ethics, and MLOps practices. Exposure to data visualization and predictive analytics for customer-experience metrics. Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi ...

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/ ...

preferred. 3-5+ years' professional experience in data science with a proven track record of delivering impactful solutions. Strong understanding of CRISP-DM, MLOps, Agile delivery and ITIL or similar frameworks. Expert-level proficiency in Python and SQL, with sound software engineering practices (modular design, testing, CI/ ...

integrations that embed AI into customer journeys, internal tools, and digital platforms* Own model lifecycle processes including deployment, monitoring, evaluation, and retraining* Implement robust MLOps practices to ensure reliability, performance, and scalability* Mentor engineers and contribute to shared tooling, reusable patterns, and engineering standards Required Experience* Strong software engineering background ...

tuning, and evaluation. Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph). Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their ...

TensorFlow, PyTorch, or Scikit-learn • Experience working with SQL and large datasets • Familiarity with data pipelines, feature engineering, and model optimisation • Understanding of MLOps practices, model deployment, and monitoring • Experience working with cloud platforms such as AWS, GCP, or Azure • Strong analytical thinking and problem-solving skills Experience Required ...

Microsoft AI Foundry or Ollama advantageous). Strong grasp of CI/CD, testing, version control, secure coding, and modern engineering workflows. Exposure to MLOps tools such as MLflow, Kubeflow, or Azure ML. ...

self-start when necessary. • Flexibility, we pride ourselves on doing what is necessary to make the whole organisation successful. Bonus Points: • Knowledge of MLOps principles and best practices. • Experience with distributed computing and large-scale data processing. How to apply? Please send ...

self-start when necessary. • Flexibility, we pride ourselves on doing what is necessary to make the whole organisation successful. Bonus Points: • Knowledge of MLOps principles and best practices. • Experience with distributed computing and large-scale data processing. How to apply? Please send a CV to danni@cortechtalentsolutions.co.uk ...

FastAPI. AI & NLP - Practical experience in Artificial Intelligence and Natural Language Processing (NLP). Cloud Platforms - Hands-on experience with AWS or Azure environments. MLOps & Deployment Experience in: - Model deployment and productionization - Model governance and lifecycle management - Version control tools such as Git - CI/CD pipelines for ML workflows ...

FastAPI. AI & NLP - Practical experience in Artificial Intelligence and Natural Language Processing (NLP). Cloud Platforms - Hands-on experience with AWS or Azure environments. MLOps & Deployment Experience in: - Model deployment and productionization - Model governance and lifecycle management - Version control tools such as Git - CI/CD pipelines for ML workflows ...

FastAPI. AI & NLP - Practical experience in Artificial Intelligence and Natural Language Processing (NLP). Cloud Platforms - Hands-on experience with AWS or Azure environments. MLOps & Deployment Experience in: - Model deployment and productionization - Model governance and lifecycle management - Version control tools such as Git - CI/CD pipelines for ML workflows ...

FastAPI. AI & NLP - Practical experience in Artificial Intelligence and Natural Language Processing (NLP). Cloud Platforms - Hands-on experience with AWS or Azure environments. MLOps & Deployment Experience in: - Model deployment and productionization - Model governance and lifecycle management - Version control tools such as Git - CI/CD pipelines for ML workflows ...