1 to 25 of 101 MLOps Jobs in the Midlands

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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. ISTQB AI Testing ...

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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. ISTQB AI Testing ...

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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. ISTQB AI Testing ...

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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. ISTQB AI Testing ...

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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. ISTQB AI Testing ...

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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. ISTQB AI Testing ...

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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. ISTQB AI Testing ...

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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. ISTQB AI Testing ...

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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. ISTQB AI Testing ...

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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. ISTQB AI Testing ...

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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. ISTQB AI Testing ...

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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. ISTQB AI Testing ...

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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. ISTQB AI Testing ...

with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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. ISTQB AI Testing ...

Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps, or secure communications. Knowledge of ethics, bias mitigation, and fairness in AI. Familiarity with justice technology, corrections, or secure IT systems. Contributions to AI research ...

Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps, or secure communications. Knowledge of ethics, bias mitigation, and fairness in AI. Familiarity with justice technology, corrections, or secure IT systems. Contributions to AI research ...

Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps, or secure communications. Knowledge of ethics, bias mitigation, and fairness in AI. Familiarity with justice technology, corrections, or secure IT systems. Contributions to AI research ...

Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps, or secure communications. Knowledge of ethics, bias mitigation, and fairness in AI. Familiarity with justice technology, corrections, or secure IT systems. Contributions to AI research ...

Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps, or secure communications. Knowledge of ethics, bias mitigation, and fairness in AI. Familiarity with justice technology, corrections, or secure IT systems. Contributions to AI research ...

Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps, or secure communications. Knowledge of ethics, bias mitigation, and fairness in AI. Familiarity with justice technology, corrections, or secure IT systems. Contributions to AI research ...

Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps, or secure communications. Knowledge of ethics, bias mitigation, and fairness in AI. Familiarity with justice technology, corrections, or secure IT systems. Contributions to AI research ...

Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps, or secure communications. Knowledge of ethics, bias mitigation, and fairness in AI. Familiarity with justice technology, corrections, or secure IT systems. Contributions to AI research ...

Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps, or secure communications. Knowledge of ethics, bias mitigation, and fairness in AI. Familiarity with justice technology, corrections, or secure IT systems. Contributions to AI research ...

Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps, or secure communications. Knowledge of ethics, bias mitigation, and fairness in AI. Familiarity with justice technology, corrections, or secure IT systems. Contributions to AI research ...

Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps, or secure communications. Knowledge of ethics, bias mitigation, and fairness in AI. Familiarity with justice technology, corrections, or secure IT systems. Contributions to AI research ...