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You will work at the intersection of data and innovation, collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse and large-scale data sources critical to model development.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Create high-quality datasets for training and evaluation; run experiments on new datasets to assess their impact and determine the most effective data.</li>\n<li>Develop and maintain scalable data pipelines for ingestion, processing, filtering, and annotation.</li>\n<li>Analyze real-world datasets to assess quality, diversity, relevance, and identify areas for improvement.</li>\n<li>Build lightweight tools and workflows for dataset auditing, visualization, and versioning.</li>\n<li>Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including Python and common data libraries.</li>\n<li>Experience in data analysis or data engineering, including work with large-scale datasets.</li>\n<li>Proficiency in statistics and exploratory data analysis methods.</li>\n<li>Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.</li>\n</ul>\n<p>Salary Range: £74,700.00 - £122,600.00 per year (Software Engineering IC4), £93,500.00 - £161,800.00 per year (Software Engineering IC5)</p>","enriched_at":1792565481013},{"id":"job_dd936b96-0b0","title":"Technical Program Management IC5","source_url":"https://microsoft.ai/job/technical-program-management-ic5/","location":"Multiple Locations","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"IT","description":"<p>At Microsoft AI, we are building advanced AI systems that help people and organizations achieve more. We are creating a trusted, repeatable system that turns high-value Microsoft product data into compliant, secure, researcher-ready assets for AI training and evaluation while protecting users and honoring product commitments.</p>\n<p>This individual-contributor role sits within the Microsoft AI Lab and drives the day-to-day technical program work required to move high-value data from request through compliant acquisition, preparation, access, use, and refresh. You will own execution across the data lifecycle: clarifying researcher requirements, identifying accountable source owners, ensuring data is properly obtained and approved, coordinating secure transfer and access, overseeing scrubbing and quality validation, documenting permitted uses and controls, and maintaining reliable refresh and deletion processes.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Drive data programs from intake through delivery by translating researcher needs into clear requirements, milestones, owners, dependencies, risks, and acceptance criteria.</li>\n<li>Unblock acquisition and access by coordinating with product data owners, engineering teams, legal, privacy, security, Responsible AI, procurement, and external partners; escalate decisions with concise context and recommended paths.</li>\n<li>Manage day-to-day technical relationships with source teams and data partners, including data specifications, transfer methods, schemas, storage, access patterns, service expectations, issue resolution, and refresh commitments.</li>\n<li>Coordinate data preparation and remediation, including ingestion, scrubbing, de-identification, credential and PII removal, deduplication, filtering, quality checks, and validation against researcher requirements and compliance controls.</li>\n<li>Oversee recurring refreshes and lifecycle operations by defining schedules, monitoring freshness and delivery health, resolving failures, validating replacement datasets, and ensuring expired or disallowed data is removed as required.</li>\n<li>Maintain clear program artifacts and operating rhythms, including status, decisions, risks, control evidence, issue logs, handoffs, and metrics for cycle time, quality, refresh reliability, compliance, and researcher readiness.</li>\n</ul>\n<p><strong>Qualifications</strong> <strong>Required Qualifications</strong></p>\n<ul>\n<li>Bachelor’s Degree AND 6+ years of experience in engineering, product or technical program management, data operations, privacy-sensitive technology, or equivalent experience.</li>\n<li>Experience driving complex, cross-organizational technical programs with multiple dependencies, clear milestones, risk management, and measurable delivery outcomes.</li>\n<li>Experience working with data pipelines or lifecycle operations, including acquisition, ingestion, transformation, quality validation, access, refresh, retention, and deletion.</li>\n<li>Demonstrated ability to influence without authority, build productive technical relationships, resolve ambiguous ownership, and communicate decisions and escalations clearly.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Bachelor’s Degree AND 8+ years of experience in engineering, product or technical program management, AI data operations, data governance, privacy-sensitive products, or equivalent experience.</li>\n<li>Experience delivering data programs across product, research, engineering, legal, privacy, security, Responsible AI, and platform teams in a large or highly regulated environment.</li>\n<li>Strong technical judgment and written communication skills, with experience defining operational controls, troubleshooting data delivery issues, creating scalable processes, and using metrics to improve cycle time, quality, compliance, and refresh reliability.</li>\n</ul>\n<p>The typical base pay range for this role across the U.S. is USD $142,800 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.</p>","enriched_at":1790717370670},{"id":"job_0fbb2522-085","title":"Technical Program Management, Model Development","source_url":"https://microsoft.ai/job/technical-program-management-model-development/","location":"Mountain View","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>At Microsoft AI, we build the frontier models and products that reach millions of people, from pretraining through post-training, evaluation, and launch.</p>\n<p>We are looking for a Technical Program Manager with deep, hands-on technical program management experience to support model development at MAI.</p>\n<p>As TPM, you will own end-to-end execution across the model development lifecycle, partnering with research and applied science leads to shape goals, priorities, and success metrics, and managing planning, milestones, dependencies, and risk across training, evaluation, and launch.</p>\n<p>You’ll be the connective tissue between research, engineering, product, and safety teams, translating fast-changing research priorities into clear plans, reasoning about trade-offs in data, compute, and evaluation methodology, and surfacing risks to leadership before they become blockers.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own end-to-end execution of complex technical programs across the model development lifecycle, partnering with research and applied science leads to translate research goals into clear plans, milestones, and success metrics.</li>\n<li>Reason about technical trade-offs in model training, evaluation, data, and infrastructure, and coordinate across research, engineering, and product to keep training and evaluation work unblocked.</li>\n<li>Communicate program status, risk, and trade-offs clearly to stakeholders and leadership, bringing lightweight structure to fast-moving, ambiguous research work.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Significant experience in technical program management, with a track record of delivering complex, cross-functional programs, ideally spanning pretraining, post-training, or evaluation.</li>\n<li>Technical fluency to reason about model training, evaluation methodology, data, and infrastructure trade-offs, and engage credibly with researchers and engineers.</li>\n<li>Strong written and verbal communication skills, with a track record of driving alignment and influencing without formal authority.</li>\n</ul>\n<p>Technical Program Management IC6 – The typical base pay range for this role across the U.S. is USD $165,600 – $296,400 per year.</p>","enriched_at":1789838204478},{"id":"job_3f4c7ad9-dcf","title":"Principal TPM, Data Acquisition Operations and Governance","source_url":"https://microsoft.ai/job/principal-tpm-data-acquisition-operations-and-governance-2/","location":"Redmond, WA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Microsoft AI, we are building advanced AI systems that help people and organizations achieve more. Our work depends on strong commercial partnerships that provide high-quality specialized data services responsibly and at scale.</p>\n<p>This role sits at the heart of our Microsoft AI Lab organization, reporting to lab senior leadership. We’re looking for an experienced, hands-on leader to people manage and drive vendor data acquisition: identifying prospective partners, shaping commercial opportunities, negotiating agreements, and ensuring vendors deliver against commitments.</p>\n<p>You will own the vendor data acquisition pipeline end to end, from translating business and technical needs into sourcing priorities through market outreach, diligence, negotiation, contracting, and delivery oversight. The work includes managing vendor relationships and structuring novel agreements for data and services that may not have been commercially available before.</p>\n<p>The ideal candidate is a heavy user of AI and a hands-on commercial operator who has worked directly between technical teams and external partners, is comfortable owning complex negotiations personally, and builds repeatable systems that scale vendor sourcing and deal execution.</p>\n<p>This role is based in Mountain View, CA. or Redmond, WA. You are required to be in the office 4 days per week.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Manage a high-performing team of data strategy and operations professionals aligned to key data acquisition verticals across the Microsoft AI lab.</li>\n<li>Partner with technical and business stakeholders to define vendor data needs and translate them into clear sourcing strategies, requirements, and commercial opportunities.</li>\n<li>Source, evaluate, and engage prospective data vendors and strategic partners across global markets, including providers of licensed content, specialized data, and human-generated data services.</li>\n<li>Lead commercial diligence, deal structuring, contract negotiation, and ongoing vendor management, balancing business value, quality, rights, risk, cost, and speed.</li>\n<li>Build and oversee scalable procurement and vendor-management processes, including acquisition pipelines, vendor spend, contractual milestones, renewals, and delivery commitments.</li>\n<li>Coordinate cross-functional initiatives across Business Development, Procurement, Legal, Privacy, Compliance, Finance, Engineering, and technical stakeholders to move opportunities from initial outreach through executed agreement and delivery.</li>\n<li>Develop durable executive relationships with key vendors, resolve escalations, identify new partnership models, and advance the AI frontier responsibly while embodying Microsoft’s culture and values.</li>\n</ul>\n<h4>Qualifications</h4>\n<h5>Required Qualifications</h5>\n<ul>\n<li>Bachelor’s Degree AND 8+ years of experience in business strategy, business development, procurement, commercial partnerships, vendor management, program management, finance, or equivalent experience.</li>\n<li>2+ years of management experience leading vendor data acquisition, complex commercial partnerships, procurement programs, or comparable vendor-facing functions.</li>\n<li>Experience building and leading a team.</li>\n<li>Demonstrated track record sourcing vendors, leading diligence, negotiating complex agreements, and building scalable systems for pipeline, spend, milestones, and vendor performance.</li>\n<li>Experience operating in a fast-moving technical or research environment where priorities shift quickly and requirements may be underspecified.</li>\n</ul>\n<h5>Preferred Qualifications</h5>\n<ul>\n<li>Bachelor’s Degree AND 10+ years of experience in business development, data licensing, procurement program management, commercial partnerships, vendor management, or equivalent experience.</li>\n<li>3+ years of management experience leading large-scale vendor data acquisition or strategic data partnerships for an AI, technology, content, research, or data-services organization.</li>\n<li>Fluency with data rights, licensing, privacy, and commercial terms, and comfort working with legal and compliance partners on novel questions.</li>\n</ul>\n<p>Technical Program Management IC6 – The typical base pay range for this role across the U.S. is USD $165,600 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.</p>","enriched_at":1789838188798},{"id":"job_c8f5b5e1-968","title":"Principal TPM, Data Acquisition Operations and Governance","source_url":"https://microsoft.ai/job/principal-tpm-data-acquisition-operations-and-governance/","location":"Mountain View, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Microsoft AI, we are building advanced AI systems that help people and organizations achieve more. Our work depends on strong commercial partnerships that provide high-quality specialized data services responsibly and at scale.</p>\n<p>This role sits at the heart of our Microsoft AI Lab organization, reporting to lab senior leadership. We’re looking for an experienced, hands-on leader to people manage and drive vendor data acquisition: identifying prospective partners, shaping commercial opportunities, negotiating agreements, and ensuring vendors deliver against commitments.</p>\n<p>You will own the vendor data acquisition pipeline end to end, from translating business and technical needs into sourcing priorities through market outreach, diligence, negotiation, contracting, and delivery oversight. The work includes managing vendor relationships and structuring novel agreements for data and services that may not have been commercially available before.</p>\n<p>The ideal candidate is a heavy user of AI and a hands-on commercial operator who has worked directly between technical teams and external partners, is comfortable owning complex negotiations personally, and builds repeatable systems that scale vendor sourcing and deal execution.</p>\n<p>This role is based in Mountain View, CA. or Redmond, WA. You are required to be in the office 4 days per week.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Manage a high-performing team of data strategy and operations professionals aligned to key data acquisition verticals across the Microsoft AI lab.</li>\n<li>Partner with technical and business stakeholders to define vendor data needs and translate them into clear sourcing strategies, requirements, and commercial opportunities.</li>\n<li>Source, evaluate, and engage prospective data vendors and strategic partners across global markets, including providers of licensed content, specialized data, and human-generated data services.</li>\n<li>Lead commercial diligence, deal structuring, contract negotiation, and ongoing vendor management, balancing business value, quality, rights, risk, cost, and speed.</li>\n<li>Build and oversee scalable procurement and vendor-management processes, including acquisition pipelines, vendor spend, contractual milestones, renewals, and delivery commitments.</li>\n<li>Coordinate cross-functional initiatives across Business Development, Procurement, Legal, Privacy, Compliance, Finance, Engineering, and technical stakeholders to move opportunities from initial outreach through executed agreement and delivery.</li>\n<li>Develop durable executive relationships with key vendors, resolve escalations, identify new partnership models, and advance the AI frontier responsibly while embodying Microsoft’s culture and values.</li>\n</ul>\n<h4>Qualifications</h4>\n<h5>Required Qualifications</h5>\n<ul>\n<li>Bachelor’s Degree AND 8+ years of experience in business strategy, business development, procurement, commercial partnerships, vendor management, program management, finance, or equivalent experience.</li>\n<li>2+ years of management experience leading vendor data acquisition, complex commercial partnerships, procurement programs, or comparable vendor-facing functions.</li>\n<li>Experience building and leading a team.</li>\n<li>Demonstrated track record sourcing vendors, leading diligence, negotiating complex agreements, and building scalable systems for pipeline, spend, milestones, and vendor performance.</li>\n<li>Experience operating in a fast-moving technical or research environment where priorities shift quickly and requirements may be underspecified.</li>\n</ul>\n<h5>Preferred Qualifications</h5>\n<ul>\n<li>Bachelor’s Degree AND 10+ years of experience in business development, data licensing, procurement program management, commercial partnerships, vendor management, or equivalent experience.</li>\n<li>3+ years of management experience leading large-scale vendor data acquisition or strategic data partnerships for an AI, technology, content, research, or data-services organization.</li>\n<li>Fluency with data rights, licensing, privacy, and commercial terms, and comfort working with legal and compliance partners on novel questions.</li>\n</ul>\n<p>Technical Program Management IC6 – The typical base pay range for this role across the U.S. is USD $165,600 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.</p>","enriched_at":1789838128882},{"id":"job_b942f47f-67d","title":"Member of Technical Staff - Applied AI Software Engineer, Health","source_url":"https://microsoft.ai/job/member-of-technical-staff-applied-ai-software-engineer-health/","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>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&#39;re responsible for ensuring that Microsoft AI&#39;s models and services are useful, trusted, and safe across diverse customer health journeys.</p>\n<p>We are looking for engineers with experience designing and building LLM-based products, and taking them through to production. You will play a pivotal role in establishing Copilot as the leader in safe, informative, trustworthy, and useful health information.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Be a key cross-functional team member, and close collaborator to product teams. Make significant contributions from translating research into benchmarks to co-authoring product roadmap.</li>\n<li>Design and build evaluation systems that test LLM capabilities in the healthcare domain, and interpret and communicate results.</li>\n<li>Run experiments to determine how different prompting techniques affect results on internal and industry benchmarks.</li>\n<li>Improve the tooling that is used internally to implement, run, and analyze evaluations.</li>\n<li>Design internal benchmarking and regression testing capabilities that capture model accuracy, safety, and utility.</li>\n</ul>\n<h3>Qualifications</h3>\n<h4>Required Qualifications</h4>\n<ul>\n<li>Bachelor&#39;s or Higher Degree in Computer Science, or related technical discipline AND significant Python programming experience / machine learning research.</li>\n<li>Experience building with and around LLMs including prompt / context and harness engineering.</li>\n<li>Deep expertise in evaluating and understanding the performance of agents.</li>\n<li>Experience collaborating in cross-functional teams, working through ambiguity to deliver high-quality results.</li>\n<li>Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.</li>\n<li>Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.</li>\n</ul>\n<h4>Preferred qualifications</h4>\n<ul>\n<li>Experience in healthcare technology, or experience in the health domain.</li>\n<li>Experience with data engineering – handling text dataset sourcing, curation, and processing tasks at scale.</li>\n<li>Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.</li>\n<li>Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies and patterns in AI.</li>\n</ul>\n<p>The typical base pay range for this role across the United Kingdom is £93,500.00 – £161,800.00 per year.</p>","enriched_at":1787975718761},{"id":"job_01fa67a8-8c9","title":"Member of Technical Staff - Privacy Engineer, Health","source_url":"https://microsoft.ai/job/member-of-technical-staff-privacy-engineer-health/","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>Microsoft AI (MAI) is building consumer health experiences – including Copilot Health – that bring trustworthy, AI-powered guidance to millions of people. Health information is among the most sensitive data anyone shares, and the trust people place in us depends on getting privacy, security, and regulatory compliance right from the very first line of code.</p>\n<p>We are looking to hire our engineering team’s anchor for all things privacy, compliance, and regulatory. This is a senior individual-contributor role for a hands-on engineer who can set technical direction, build privacy-preserving systems, and serve as the trusted point of contact who keeps our products on the right side of a fast-evolving regulatory landscape. You will work at the intersection of privacy engineering, health technology, and applied AI – partnering closely with product, security, legal, and compliance to make privacy-by-design the default rather than an afterthought.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Be the primary point of contact for privacy, compliance, and regulatory matters within the engineering team – the person product and engineering turn to for guidance, design review, and decisions.</li>\n<li>Ensure products such as Copilot Health are designed and built in a privacy-preserving way, embedding data minimization, purpose limitation, and privacy-by-design into architecture from the outset.</li>\n<li>Lead privacy and security design reviews and threat modeling for new features and models, identifying risks early and architecting practical, scalable mitigations.</li>\n<li>Evaluate and apply privacy-enhancing technologies – such as differential privacy, de-identification, secure enclaves, and federated approaches – where they meaningfully reduce risk to users.</li>\n<li>Build reusable libraries, patterns, and tooling that let every engineer ship privacy-preserving features by default, and raise the team’s privacy and compliance fluency through mentorship and clear standards.</li>\n<li>Partner across legal, compliance, security, and product to balance strong user protections with product velocity, and to support audits, certifications, and regulator-facing evidence.</li>\n<li>Stay ahead of emerging health-privacy regulation and industry practice, bringing that perspective into roadmaps before requirements become blockers.</li>\n</ul>\n<h3>Qualifications</h3>\n<h4>Required qualifications</h4>\n<ul>\n<li>Extensive professional software engineering experience building and operating production systems at scale, with significant depth in privacy, security, or data protection.</li>\n<li>Strong programming skills in at least one major language (e.g., C#, Python, Go, Java, or similar) and a track record of shipping reliable backend and infrastructure systems.</li>\n<li>Hands-on command of privacy and security fundamentals: privacy-by-design, data minimization, access-control models (RBAC/ABAC), encryption, audit logging, and data lifecycle management.</li>\n<li>Experience conducting privacy and security reviews, threat modeling, and risk assessments.</li>\n<li>Excellent cross-functional communication – able to influence product, engineering, legal, and compliance stakeholders and explain trade-offs clearly.</li>\n<li>Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.</li>\n</ul>\n<h4>Preferred qualifications</h4>\n<ul>\n<li>Experience in health technology (strongly preferred), or in another highly regulated industry such as financial services, government, or insurance (acceptable).</li>\n<li>Familiarity with health-data standards and governance frameworks (e.g., HIPAA, HITRUST, ISO 27001/27701, NHS data governance, FHIR and clinical data handling).</li>\n<li>Practical experience applying privacy-enhancing technologies – differential privacy, anonymization/de-identification, secure enclaves, or federated learning.</li>\n<li>Experience with AI/ML systems and the privacy considerations of training and inference on sensitive data.</li>\n<li>Experience with cloud platforms (Azure preferred) and large-scale data systems.</li>\n<li>Relevant certifications such as CIPP/E or CIPT.</li>\n</ul>\n<p>The typical base pay range for this role across United Kingdom is £ 93,500.00 – £ 161,800.00 per year.</p>","enriched_at":1784010065635},{"id":"job_2f88cf46-bba","title":"Member of Technical Staff - Applied AI Lead, Health","source_url":"https://microsoft.ai/job/member-of-technical-staff-applied-ai-lead-health-2/","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>At Microsoft AI, our Health team aims to help millions of users better understand and manage their health and wellbeing.</p>\n<p>We&#39;re seeking an Applied AI Lead to join our engineering team, focusing on building Copilot Health.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead, mentor, and grow a team of Applied AI Engineers, fostering a collaborative environment.</li>\n<li>Set the technical direction for Applied AI in the health domain, remaining hands-on with code and design reviews.</li>\n<li>Co-own the roadmap with product leads, qualifying new opportunities and leading architecture and development.</li>\n<li>Plan and prioritize the team&#39;s roadmap, balancing shipping and learning with high-quality standards.</li>\n</ul>\n<p><strong>Set the Technical Direction on Evaluation and Orchestration</strong></p>\n<ul>\n<li>Define the evaluation strategy for LLM capabilities in the health domain.</li>\n<li>Architect LLM orchestration, guiding the design of agentic, multi-step systems.</li>\n<li>Run experiments to improve results on internal and industry benchmarks.</li>\n<li>Invest in tooling to implement, run, and analyze evaluations.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s or higher degree in Computer Science or a related technical discipline.</li>\n<li>Significant Python programming experience and machine learning research.</li>\n<li>Strong proficiency in LLM evaluations and orchestration.</li>\n<li>Proven engineering leadership with 8+ years of software engineering experience.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience in healthcare technology or the health domain.</li>\n<li>Data engineering experience with text dataset sourcing and processing.</li>\n<li>Translating cutting-edge research into shipped products.</li>\n<li>Passionate about conversational AI and its deployment.</li>\n</ul>\n<p>The typical base pay range for this role across the United Kingdom is £93,500.00 – £161,800.00 per year.</p>","enriched_at":1783744115103},{"id":"job_147e4ce0-9fa","title":"Member of Technical Staff - Applied AI Lead, Health","source_url":"https://microsoft.ai/job/member-of-technical-staff-applied-ai-lead-health/","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>At Microsoft AI, our Health team aims to help millions of users better understand and manage their health and wellbeing. We&#39;re seeking an Applied AI Lead to join our engineering team, focusing on building Copilot Health.</p>\n<p>As an Applied AI Lead, you will set the technical direction for this work in the health domain while growing and developing engineers. Your responsibilities include:</p>\n<ul>\n<li>Leading, mentoring, and growing a team of Applied AI Engineers</li>\n<li>Setting the technical bar through code and design reviews</li>\n<li>Co-owning the roadmap with product leads</li>\n<li>Defining the evaluation strategy for LLM capabilities in the health domain</li>\n<li>Architecting LLM orchestration for agentic, multi-step systems</li>\n<li>Running experiments to improve product results</li>\n<li>Investing in tooling for evaluations and data pipelines</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Bachelor&#39;s or higher degree in Computer Science or a related technical discipline</li>\n<li>Significant Python programming experience and machine learning research</li>\n<li>Strong proficiency in LLM evaluations and orchestration</li>\n<li>Proven engineering leadership with 8+ years of software engineering experience</li>\n<li>Experience collaborating in cross-functional teams and contributing to a positive work environment</li>\n</ul>\n<p>Preferred qualifications include experience in healthcare technology, data engineering, and conversational AI.</p>\n<p>The typical base pay range for this role in the United Kingdom is £93,500.00 – £161,800.00 per year.</p>","enriched_at":1783743984162},{"id":"job_c9e14a24-e4c","title":"Member of Technical Staff - Principal Software Engineer - Health Privacy & Compliance","source_url":"https://microsoft.ai/job/member-of-technical-staff-principal-software-engineer-health-privacy-compliance/","location":"Enfield","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>Microsoft AI (MAI) is building consumer health experiences – including Copilot Health – that bring trustworthy, AI-powered guidance to millions of people. Health information is among the most sensitive data anyone shares, and the trust people place in us depends on getting privacy, security, and regulatory compliance right from the very first line of code.</p>\n<p>We are hiring a Principal Software Engineer to be our engineering team’s anchor for all things privacy, compliance, and regulatory. This is a senior individual-contributor role for a hands-on engineer who can set technical direction, build privacy-preserving systems, and serve as the trusted point of contact who keeps our products on the right side of a fast-evolving regulatory landscape. You will work at the intersection of privacy engineering, health technology, and applied AI – partnering closely with product, security, legal, and compliance to make privacy-by-design the default rather than an afterthought.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Be the primary point of contact for privacy, compliance, and regulatory matters within the engineering team – the person product and engineering turn to for guidance, design review, and decisions.</li>\n<li>Ensure products such as Copilot Health are designed and built in a privacy-preserving way, embedding data minimization, purpose limitation, and privacy-by-design into architecture from the outset.</li>\n<li>Lead privacy and security design reviews and threat modeling for new features and models, identifying risks early and architecting practical, scalable mitigations.</li>\n<li>Evaluate and apply privacy-enhancing technologies – such as differential privacy, de-identification, secure enclaves, and federated approaches – where they meaningfully reduce risk to users.</li>\n<li>Build reusable libraries, patterns, and tooling that let every engineer ship privacy-preserving features by default, and raise the team’s privacy and compliance fluency through mentorship and clear standards.</li>\n<li>Partner across legal, compliance, security, and product to balance strong user protections with product velocity, and to support audits, certifications, and regulator-facing evidence.</li>\n<li>Stay ahead of emerging health-privacy regulation and industry practice, bringing that perspective into roadmaps before requirements become blockers.</li>\n</ul>\n<h3>Qualifications</h3>\n<h4>Required qualifications</h4>\n<ul>\n<li>Extensive professional software engineering experience building and operating production systems at scale, with significant depth in privacy, security, or data protection.</li>\n<li>Strong programming skills in at least one major language (e.g., C#, Python, Go, Java, or similar) and a track record of shipping reliable backend and infrastructure systems.</li>\n<li>Hands-on command of privacy and security fundamentals: privacy-by-design, data minimization, access-control models (RBAC/ABAC), encryption, audit logging, and data lifecycle management.</li>\n<li>Experience conducting privacy and security reviews, threat modeling, and risk assessments.</li>\n<li>Excellent cross-functional communication – able to influence product, engineering, legal, and compliance stakeholders and explain trade-offs clearly.</li>\n<li>Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.</li>\n</ul>\n<h4>Preferred qualifications</h4>\n<ul>\n<li>Experience in health technology (strongly preferred), or in another highly regulated industry such as financial services, government, or insurance (acceptable).</li>\n<li>Familiarity with health-data standards and governance frameworks (e.g., HIPAA, HITRUST, ISO 27001/27701, NHS data governance, FHIR and clinical data handling).</li>\n<li>Practical experience applying privacy-enhancing technologies – differential privacy, anonymization/de-identification, secure enclaves, or federated learning.</li>\n<li>Experience with AI/ML systems and the privacy considerations of training and inference on sensitive data.</li>\n<li>Experience with cloud platforms (Azure preferred) and large-scale data systems.</li>\n<li>Relevant certifications such as CIPP/E or CIPT.</li>\n</ul>\n<p>The typical base pay range for this role across United Kingdom is £ 93,500.00 – £ 161,800.00 per year.</p>","enriched_at":1783656001005}],"category_normalised":[{"category":"engineering","count":9},{"category":"sales","count":2},{"category":"it","count":1}],"velocity":{"weeks":[{"week_start":"2026-05-04","count":2},{"week_start":"2026-07-06","count":3},{"week_start":"2026-07-13","count":1},{"week_start":"2026-08-24","count":1},{"week_start":"2026-09-14","count":3},{"week_start":"2026-09-28","count":1},{"week_start":"2026-10-19","count":1}],"trend":"stable","wow_pct":0},"momentum":{"recent_14d":0,"prior_14d":1,"growth_pct":-100,"classification":"stable"},"salary_vs_industry":{"company_median":162115.5,"industry_median":null,"percentile":null,"sample_size":11,"by_region":[{"region":"United Kingdom","company_median":162115.5,"industry_median":null,"sample":5},{"region":"United States","company_median":231000,"industry_median":null,"sample":4},{"region":"Unknown","company_median":185457.75,"industry_median":null,"sample":2}],"transparency_pct":92,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":12,"industry_total":12,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.288,"skill_weighted_score":0.288,"top_exposed_titles":[{"title":"Member of Technical Staff - 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