Faculty

<h2><strong>Why Faculty? </strong></h2><p><br />We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact <a target="_blank" rel="noopener noreferrer ugc" href="https://faculty.ai/impact">here</a>.</p><p></p><p>We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.</p><p></p><p>Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.</p><p></p><p>AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.</p><p></p><h2><strong>About the role</strong></h2><p></p><p>As a Lead Data Scientist at Faculty, you will drive the scientific direction and architectural rigour of upstream AI safety and evaluation standards. Partnering directly with Frontier Labs, you will lead the design of novel experiment frameworks, mentor technical teams, and ensure delivery excellence across high-stakes engagements.</p><p></p><p>Bridging deep scientific research with client strategy, you will champion robust methodologies, guide cross-functional teams, and advance Faculty’s thought leadership in practical AI safety.</p><p></p><h2><strong>What you'll be doing:</strong></h2><p></p><ul><li><p>Directing project teams to deliver cutting-edge upstream AI safety solutions and evaluation standards to Frontier Labs</p></li><li><p>Architecting core scientific experiment designs and robust software infrastructure for high-impact safety engagements</p></li><li><p>Guiding and mentoring data scientists, nurturing technical capabilities, and fostering an inclusive, high-performing team culture</p></li><li><p>Partnering with commercial leads and executive stakeholders to scope technical work, assess feasibility, and translate complex challenges into rigorous scientific frameworks</p></li><li><p>Advancing Faculty’s industry leadership by innovating novel evaluation methodologies, speaking at key forums, or publishing open-source research</p></li><li><p>Establishing and upholding scientific methodology, rigour, and engineering best practices across the full project lifecycle</p><p></p></li></ul><h2><strong>Who we're looking for:</strong></h2><p></p><ul><li><p>You bring extensive leadership experience in quantitative data science, upstream AI safety research, or academic research with exemplary experiment design methodology.</p></li><li><p>You possess advanced Python expertise alongside deep familiarity with scientific stacks (NumPy, Pandas), AI evaluation frameworks (e.g., Inspect AI), and agentic harnesses and sandboxing environments.</p></li><li><p>You demonstrate a passion for advancing evaluation standards across complex, specialised domains, including the application of novel research avenues, with exceptional technical rigour.</p></li><li><p>You excel at empowering others, sharing technical knowledge, and cultivating a collaborative environment where team members thrive.</p></li><li><p>You combine strong commercial acumen with the ability to articulate complex scientific strategies clearly to senior clients and external partners.</p></li><li><p>You drive strategic execution, scoping high-impact projects effectively to meet structured timelines without compromising quality.</p></li></ul><p></p><h2><strong>The Interview Process</strong></h2><p></p><ol><li><p>Talent Team Screen (30 minutes)</p></li><li><p>Introduction to the team (30 minutes)</p></li><li><p>Take Home Technical Assessment</p></li><li><p>Technical Interview (90 minutes)</p></li><li><p>Commercial Interview (60 minutes)</p></li></ol><p></p><p></p><h2><strong>Our Recruitment Ethos</strong></h2><h2></h2><p>We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.</p><p></p><p>If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. </p><p></p><p>A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.</p><p></p>

Lead Data Scientist (Safety)

<h2><strong>Why Faculty? </strong></h2><p><br />We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact <a target="_blank" rel="noopener noreferrer ugc" href="https://faculty.ai/impact">here</a>.</p><p></p><p>We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.</p><p></p><p>Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.</p><p></p><p>AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.</p><p></p><h2><strong>About the role</strong></h2><h2></h2><p>As a Lead Machine Learning Engineer at Faculty, you’ll drive the technical strategy, architecture, and deployment of cutting-edge, secure AI systems across high-stakes domains. Bridging AI research and production impact, you’ll set the benchmark for engineering excellence and operationalise scalable ML infrastructure. </p><p></p><p>Working alongside Frontier Labs, you will champion practical, safety-first AI frameworks, model capability evaluations, and multi-agent systems. You will act as a principal advisor to client leadership, mentor engineering talent, and steer cross-functional teams to solve critical, real-world AI challenges.</p><p></p><h2><strong>What you'll be doing:</strong></h2><h2></h2><ul><li><p>Steering technical strategy, system architecture, and rigorous capability testing for complex ML systems and Frontier AI models</p></li><li><p>Architecting production-grade, secure ML software, orchestration tools, and scalable cloud infrastructure</p></li><li><p>Establishing company-wide standards and best practices for safe, reliable, and ethical machine learning deployment at scale</p></li><li><p>Collaborating with cross-functional teams and executive stakeholders to translate high-impact client needs into resilient AI solutions</p></li><li><p>Advising senior clients and partners as a trusted AI safety and technical authority, articulating complex strategies clearly</p></li><li><p>Mentoring and developing engineering talent, actively elevating team capabilities and nurturing an inclusive, high-performing culture</p></li><li><p>Partnering with Frontier Labs to advance safety evaluation procedures, multi-agent harness tooling, and robust AI governance frameworks</p><p></p></li></ul><h2><strong>Who we're looking for:</strong></h2><p></p><ul><li><p>You have significant leadership experience designing, deploying, and securing scalable LLM applications, multi-agent frameworks, and AI safety evaluation processes.</p></li><li><p>You bring exceptional software engineering fundamentals and advanced Python expertise, with a focus on building resilient, enterprise-ready systems.</p></li><li><p>You demonstrate deep hands-on experience with cloud platforms (AWS, Azure, GCP), scalable cloud architectures, container orchestration (Docker, Kubernetes), agent sandboxing, and end-to-end cybersecurity.</p></li><li><p>You possess mastery over the full ML lifecycle, with proven expertise operationalising production systems using PyTorch, TensorFlow, or similar frameworks.</p></li><li><p>You excel in fast-paced, high-growth environments, bringing autonomy, strategic ownership, and a track record of guiding technical decisions.</p></li><li><p>You communicate persuasively with both technical teams and senior non-technical stakeholders, translating complex technical risks into clear strategic direction.</p></li></ul><p></p><h2><strong>The Interview Process</strong></h2><div> </div><ol><li><p>Talent Team Screen (30 minutes)</p></li><li><p>Introduction to the Hiring Manager (30 minutes) </p></li><li><p>Pair Programming Interview (90 minutes) </p></li><li><p>System Design Interview (90 minutes) </p></li><li><p>Commercial &amp; Leadership Interview  (60 minutes)</p><div> </div></li></ol><p>#LI-PRIO</p><p></p><h2><strong>Our Recruitment Ethos</strong></h2><h2></h2><p>We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.</p><p></p><p>If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. </p><p></p><p>A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.</p><p></p>

Lead Machine Learning Engineer (Safety)

<h2><strong>Why Faculty? </strong></h2><p><br />We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact <a target="_blank" rel="noopener noreferrer ugc" href="https://faculty.ai/impact">here</a>.</p><p></p><p>We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.</p><p></p><p>Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.</p><p></p><p>AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.</p><h2><strong>About the Team</strong></h2><p></p><p>Faculty’s Retail &amp; Consumer team builds AI that re-engineers how retail and consumer businesses make decisions, from personalised promotions and pricing to range, inventory and customer acquisition. We combine deep sector expertise with outstanding scientific and technical capability to solve hard problems and embed the solutions in our clients’ core business processes.</p><p></p><h2><strong>About the role</strong></h2><p>As a Senior Data Scientist, you will lead high-impact AI projects and shape the technical direction of bespoke solutions for some of the most recognisable names in retail and consumer.</p><p>You will define the data science approach for each engagement, design robust software architectures, mentor colleagues and ensure delivery rigour across projects. You will also build deep client relationships and strengthen our reputation as a leader in practical, measurable AI.</p><p></p><h2><strong>What you’ll be doing</strong></h2><ul><li><p>Leading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the retail and consumer sector</p></li><li><p>Translating complex business problems into the right data science solutions, and mapping the end-to-end approach so it meets client needs and is technically feasible</p></li><li><p>Designing the software architecture for data science solutions, working alongside engineering colleagues</p></li><li><p>Partnering with our commercial teams to build client relationships and shape project scope for technical success</p></li><li><p>Owning the technical side of the client relationship on projects and in business development, helping to secure successful outcomes</p></li><li><p>Estimating delivery timelines and leading your team to deliver to a demanding schedule</p></li><li><p>Supporting the professional growth of data scientists on your projects through mentorship, coaching and feedback</p></li><li><p>Upholding best practice throughout the project lifecycle, including embedding responsible AI thinking in how problems are framed, not only in how models are evaluated</p></li><li><p>Contributing to hiring at Faculty</p></li></ul><p></p><h2><strong>What we’re looking for</strong></h2><ul><li><p>You have senior experience in a professional data science position or a quantitative academic field</p></li><li><p>You have broad knowledge of state-of-the-art ML and AI, and can apply it, along with novel ideas, to build algorithms for complex data science problems</p></li><li><p>You hold yourself to rigorous validation standards, ensuring models perform reliably in real-world conditions and edge cases</p></li><li><p>You can scope projects by assessing technical feasibility and breaking complex workstreams into clear delivery milestones</p></li><li><p>You have mastery of Python and relevant frameworks, and can architect production-grade infrastructure for sophisticated models and agentic AI systems</p></li><li><p>You communicate clearly, translating sophisticated models and quantitative findings into actionable strategy for client stakeholders</p></li><li><p>You care about accountability, transparency and responsible AI, and nurture those habits in the people around you</p></li><li><p>You enjoy mentoring and developing other data scientists</p></li></ul><p></p><p></p><h2><strong>Our Recruitment Ethos</strong></h2><h2></h2><p>We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.</p><p></p><p>If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. </p><p></p><p>A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.</p><p></p>

Senior Data Scientist

<h2><strong>Why Faculty? </strong></h2><p><br />We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact <a target="_blank" rel="noopener noreferrer ugc" href="https://faculty.ai/impact">here</a>.</p><p></p><p>We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.</p><p></p><p>Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.</p><p></p><p>AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.</p><p></p><p></p><h2><strong>About the team </strong></h2><div> </div><p>Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions. <br /><br />We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all.<br /></p><p></p><h2><strong>About the role</strong></h2><p></p><p>As a Senior Machine Learning Engineer, we’ll look to you to lead development and deployment of cutting-edge AI systems for our diverse clients. You’ll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards.</p><p></p><p>You will lead the bridge between AI research and real-world impact by architecting scalable, production-grade machine learning systems. Partnering directly with clients and cross-functional teams, you will drive technical strategy, mentor teams on best practices, and collaborate with Frontier Labs to define and reinforce our industry leadership in practical, high-stakes AI safety.</p><p></p><p></p><h2><strong>What you'll be doing:</strong></h2><p></p><ul><li><p>Leading technical scoping and architectural decisions for high-impact ML systems and capability testing of Frontier AI models</p></li><li><p>Designing and building production-grade ML software, tools, and scalable infrastructure</p></li><li><p>Defining and implementing best practices and standards for deploying machine learning at scale across the business</p></li><li><p>Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities</p></li><li><p>Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies</p></li><li><p>Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth</p></li></ul><p></p><h2><strong>Who we're looking for:</strong></h2><p></p><ul><li><p>You have significant experience building and deploying secure and scalable LLM applications, and are comfortable with multi-agent harness tooling and AI Safety evaluation procedures.</p></li><li><p>You understand the full ML lifecycle and are confident operationalising models built with frameworks like TensorFlow or PyTorch</p></li><li><p>You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems</p></li><li><p>You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) specifically cloud architecture, infrastructure management, and end-to-end cybersecurity practices</p></li><li><p>You've extensive experience working with container and orchestration tools such at Docker &amp; Kubernetes to build and manage applications at scale</p></li><li><p>You thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion</p></li><li><p>You communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders</p></li></ul><div> </div><h2><strong>Our Interview Process</strong></h2><div> </div><ol><li><p>Talent Team Screen (30 minutes)</p></li><li><p>Pair Programming Interview (90 minutes) </p></li><li><p>System Design Interview (90 minutes) </p></li><li><p>Commercial Interview (60 minutes)</p></li></ol><p></p><p>#LI-PRIO</p><div> </div><p></p><h2><strong>Our Recruitment Ethos</strong></h2><h2></h2><p>We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.</p><p></p><p>If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. </p><p></p><p>A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.</p><p></p>

Senior Machine Learning Engineer (Safety)

<h2><strong>Why Faculty? </strong></h2><p><br />We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact <a target="_blank" rel="noopener noreferrer ugc" href="https://faculty.ai/impact">here</a>.</p><p></p><p>We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.</p><p></p><p>Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.</p><p></p><p>AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.</p><p></p><h2><strong>About the team</strong></h2><div> </div><p>Our Energy, Transition and Environment business unit is pioneering meaningful change in the clean energy revolution. Our vision is to accelerate the transition to net-zero emissions and drive efficiencies for a new era of utility companies.</p><div> </div><p>We believe that the responsible, and intelligent, deployment of AI is critical to the success of this mission. We partner with a wide range of clients - from major energy operators, to GreenTech startups, and national infrastructure providers - to build solutions which return measurable impact and move us towards a smarter, cleaner, and more sustainable world.</p><div> </div><div> </div><h2><strong>About the role</strong></h2><div> </div><p>Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients.</p><div> </div><p>You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. </p><div> </div><div> </div><h2><strong>What you'll be doing:</strong></h2><div> </div><ul><li><p>Building and deploying production-grade ML software, tools, and infrastructure.</p></li><li><p>Creating reusable, scalable solutions that accelerate the delivery of ML systems.</p></li><li><p>Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.</p></li><li><p>Leading technical scoping and architectural decisions to ensure project feasibility and impact.</p></li><li><p>Defining and implementing Faculty’s standards for deploying machine learning at scale.</p></li><li><p>Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.</p><div> </div></li></ul><h2><strong>Who we're looking for:</strong></h2><div> </div><ul><li><p>You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.</p></li><li><p>You possess strong Python skills and solid experience in software engineering best practices.</p></li><li><p>You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security.</p></li><li><p>You've worked with container and orchestration tools such at Docker &amp; Kubernetes to build and manage applications at scale</p></li><li><p>You are comfortable with core ML concepts, including probability, statistics, and common learning techniques.</p></li><li><p>You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders.</p></li><li><p>You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutions</p></li></ul><div> </div><h2><strong>Our Interview Process</strong></h2><div> </div><ol><li><p>Talent Team Screen (30 minutes)</p></li><li><p>Pair Programming Interview (90 minutes) </p></li><li><p>System Design Interview (90 minutes) </p></li><li><p>Commercial Interview (60 minutes)</p></li></ol><p><br />#LI-PRIO</p><p></p><p></p><p></p><h2><strong>Our Recruitment Ethos</strong></h2><h2></h2><p>We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.</p><p></p><p>If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. </p><p></p><p>A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.</p><p></p>

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