Microsoft
Responsibilities (Text Only) - Architect and Develop Internal Security Tooling: Design, implement, and evolve secure systems architecture that supports the Regulated Industries internal tooling platform. Leverage automation and intelligent workflows to enhance observability, policy enforcement, and team productivity. - Implement AI-Powered Security Workflows: Integrate AI/ML agents-including Microsoft Security Copilot and LLM-based copilots-into operational pipelines for tasks such as incident triage, control validation, and telemetry summarization. Ensure models and agents are used securely and responsibly. - Orchestrate Security Automation: Lead the design and development of automation solutions across platforms (Azure Monitor, Defender XDR, Entra, Purview). Create scripts, APIs, and orchestrations that reduce manual effort and improve speed and accuracy in security operations. - Tell Stories with Data: Use tools like Jupyter Notebooks, Kusto Query Language (KQL), and Python to query and visualize large-scale security datasets. Translate telemetry into insights and share narratives that influence decision-making across engineering and leadership teams. - Support Compliance and Audit Readiness: Build and maintain solutions that automate evidence gathering and real-time compliance monitoring across frameworks such as NIST 800-53, HITRUST, PCI-DSS, and FedRAMP. - Collaborate Across Teams: Partner with cloud engineering, GRC, and program teams to align internal tooling with evolving compliance needs and operational goals. Qualifications (Text Only) Required Qualifications: - Demonstrated experience deploying automation for security operations (SOAR platforms, script-based playbooks, API integrations). - Experience in security engineering, automation, or software engineering, preferably in cloud-native or regulated environments. - Strong programming/scripting skills (Python preferred) with a focus on infrastructure and operations tooling. - Experience working with large datasets in Jupyter Notebooks and building dashboards or reports for security posture and compliance. - Strong communication skills with an ability to convey technical concepts to non-technical stakeholders. - Role is UK based and requires SC Clearance. Preferred Qualifications: - Familiarity with Microsoft security tools: Microsoft Sentinel, Defender XDR, Purview, Entra ID, Azure Policy. - Hands-on experience integrating or piloting AI agents or LLMs in operational workflows. - Knowledge of compliance standards such as NIST, HIPAA, FedRAMP, PCI, SOC2, or HITRUST. - Security certifications such as SC-200, GCSA, or equivalent. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a requestvia the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Responsibilities (Text Only) - Architect and Develop Internal Security Tooling: Design, implement, and evolve secure systems architecture that supports the Regulated Industries internal tooling platform. Leverage automation and intelligent workflows to enhance observability, policy enforcement, and team productivity. - Implement AI-Powered Security Workflows: Integrate AI/ML agents-including Microsoft Security Copilot and LLM-based copilots-into operational pipelines for tasks such as incident triage, control validation, and telemetry summarization. Ensure models and agents are used securely and responsibly. - Orchestrate Security Automation: Lead the design and development of automation solutions across platforms (Azure Monitor, Defender XDR, Entra, Purview). Create scripts, APIs, and orchestrations that reduce manual effort and improve speed and accuracy in security operations. - Tell Stories with Data: Use tools like Jupyter Notebooks, Kusto Query Language (KQL), and Python to query and visualize large-scale security datasets. Translate telemetry into insights and share narratives that influence decision-making across engineering and leadership teams. - Support Compliance and Audit Readiness: Build and maintain solutions that automate evidence gathering and real-time compliance monitoring across frameworks such as NIST 800-53, HITRUST, PCI-DSS, and FedRAMP. - Collaborate Across Teams: Partner with cloud engineering, GRC, and program teams to align internal tooling with evolving compliance needs and operational goals. Qualifications (Text Only) Required Qualifications: - Demonstrated experience deploying automation for security operations (SOAR platforms, script-based playbooks, API integrations). - Experience in security engineering, automation, or software engineering, preferably in cloud-native or regulated environments. - Strong programming/scripting skills (Python preferred) with a focus on infrastructure and operations tooling. - Experience working with large datasets in Jupyter Notebooks and building dashboards or reports for security posture and compliance. - Strong communication skills with an ability to convey technical concepts to non-technical stakeholders. - Role is UK based and requires SC Clearance. Preferred Qualifications: - Familiarity with Microsoft security tools: Microsoft Sentinel, Defender XDR, Purview, Entra ID, Azure Policy. - Hands-on experience integrating or piloting AI agents or LLMs in operational workflows. - Knowledge of compliance standards such as NIST, HIPAA, FedRAMP, PCI, SOC2, or HITRUST. - Security certifications such as SC-200, GCSA, or equivalent. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a requestvia the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Microsoft
At Microsoft AI, our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We're responsible for ensuring that Microsoft AI's models and services are useful, trusted and safe across diverse health journeys.For this role the Microsoft Health AI team is looking for a Member of Technical Staff excited about contributing to the next generation of systems that will transform the field. Across all our hires, it's important for colleagues to share our enthusiasm about the role of technology and AI in health and healthcare, but also appreciate the challenges and risks of delivering effective solutions in a complex and safety critical space. By design we will remain a lean founding team (albeit within a much larger org), and as such you will need to be highly self-sufficient, and be able to span from high level strategy through to ground-level execution on a wide range of tasks. This also means you will play a major role in cultivating and promoting a positive team culture. Microsoft's wider mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities MTS-AI's work across the full AI modelling stack, including prompt design, pre- and post- training, inference, evaluation, LM systems design, and deployment. In this role, you will work across research and engineering boundaries to deliver LLM solutions in healthcare. You will work in a small team within a broader organisation, designing and validating hypothesis across a cutting edge language modelling stack. Work in these roles will involve a hybrid of research and engineering, and can flex across every aspect of the language modelling stack to make models that are as useful and safe for health as possible. We are looking for early-hire full-stack candidates who possess: Deep, full-stack expertise in designing and evaluating AI applications. Evidence of this may include research papers at top AI conferences and journals, open source projects, industry experience in building production AI stacks. Strong intuition about pre/post training, metric design for AI, prompt engineering methodologies, and AI systems design. Demonstrated experience in one or more of the following areas: prompt engineering, experimental design, language model evaluations, fine tuning, reinforcement learning/direct preference optimization, data curation, and classic machine learning principles. Required/Minimum Qualifications Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Demonstrated full-stack experience in large-scale AI. Empirical evidence of this in the form of top tier publications, open source contributions, and/or on-the-job work experience. Deeper expertise in one or more parts of the AI stack, including prompt engineering, pre-training, fine-tuning, reinforcement learning and direct preference optimization, data curation, LLM inference, orchestration, evaluation pipelines, and deployment. Additional or Preferred Qualifications Bachelor's/Master's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOr relevant experience Ability to flex across research and engineering boundaries, wearing a bit of both hats. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a requestvia the Accommodation request form . Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
At Microsoft AI, our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We're responsible for ensuring that Microsoft AI's models and services are useful, trusted and safe across diverse health journeys.For this role the Microsoft Health AI team is looking for a Member of Technical Staff excited about contributing to the next generation of systems that will transform the field. Across all our hires, it's important for colleagues to share our enthusiasm about the role of technology and AI in health and healthcare, but also appreciate the challenges and risks of delivering effective solutions in a complex and safety critical space. By design we will remain a lean founding team (albeit within a much larger org), and as such you will need to be highly self-sufficient, and be able to span from high level strategy through to ground-level execution on a wide range of tasks. This also means you will play a major role in cultivating and promoting a positive team culture. Microsoft's wider mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities MTS-AI's work across the full AI modelling stack, including prompt design, pre- and post- training, inference, evaluation, LM systems design, and deployment. In this role, you will work across research and engineering boundaries to deliver LLM solutions in healthcare. You will work in a small team within a broader organisation, designing and validating hypothesis across a cutting edge language modelling stack. Work in these roles will involve a hybrid of research and engineering, and can flex across every aspect of the language modelling stack to make models that are as useful and safe for health as possible. We are looking for early-hire full-stack candidates who possess: Deep, full-stack expertise in designing and evaluating AI applications. Evidence of this may include research papers at top AI conferences and journals, open source projects, industry experience in building production AI stacks. Strong intuition about pre/post training, metric design for AI, prompt engineering methodologies, and AI systems design. Demonstrated experience in one or more of the following areas: prompt engineering, experimental design, language model evaluations, fine tuning, reinforcement learning/direct preference optimization, data curation, and classic machine learning principles. Required/Minimum Qualifications Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Demonstrated full-stack experience in large-scale AI. Empirical evidence of this in the form of top tier publications, open source contributions, and/or on-the-job work experience. Deeper expertise in one or more parts of the AI stack, including prompt engineering, pre-training, fine-tuning, reinforcement learning and direct preference optimization, data curation, LLM inference, orchestration, evaluation pipelines, and deployment. Additional or Preferred Qualifications Bachelor's/Master's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOr relevant experience Ability to flex across research and engineering boundaries, wearing a bit of both hats. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a requestvia the Accommodation request form . Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.