Faculty

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. What you'll be doing: As a data scientist, fundamentally your role is to help customers solve their problems using data science and AI; this involves applying a variety of techniques, ranging from simple data analysis to designing and implementing bespoke machine learning algorithms. We have previously worked on a multitude of different technical solutions for our clients, using Bayesian hierarchical modelling to develop an early warning system for the NHS during the COVID-19 pandemic , modelling 3D point cloud data to identify and measure assets for Network Rail , and using NLP to identify topics in market research . Prior knowledge of these techniques is not a prerequisite as we are looking for both experienced candidates and those who want to learn. We anticipate that with our support, you could become an expert in one of these areas even if you don't yet have much hands-on experience. Additionally, your contribution won't be limited to your technical skills. Using practical and business sense, you will help our excellent commercial team build lasting relationships with our customers, shaping the direction of both current and future projects. As we are a growing business, we need people who take initiative. You will take on more responsibility from day one than you would expect in comparable roles elsewhere, whilst in turn benefitting from the support and mentorship of our more seasoned team members. Data scientists at Faculty take pride in: Solving problems with the best data-science techniques and the scientific method Communicating technical content at the right level both internally and to customers. Fostering a collaborative work environment, sharing knowledge, and bringing the best out of everyone in the team. Seeking out innovative ways to help Faculty grow, for example, by developing shared technical and non-technical resources. Who we are looking for: Experience from quantitative academic research (e.g. STEM PhD), professional data-science positions, or a combination of the two. Programming experience as evidenced by earlier work in data science, academic research or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe. The ability to reason mathematically and an understanding of common statistical tests and/or probability. Experience using common machine learning algorithms as evidenced by previous work or side projects, with the ability to think creatively when an innovative solution is necessary. Experience of manipulating data using the standard libraries for data science (e.g. NumPy, Pandas, Scikit-Learn or equivalents in other programming languages). An appreciation for the scientific method as applied to the commercial world; the ability to turn client requests into problems that can be solved using data science; resourcefulness in overcoming difficulties through creativity, commitment and collaboration; and an inquisitive and questioning mindset in evaluating the performance and impact of models upon deployment. An interest in working alongside our customers and to learn about the commercial aspects of the job. Effective verbal and written communication - you should be comfortable with presenting your work in front of customers. The ability to follow a project plan and stick to deadlines, as well as proactively solve problems that emerge. The following would be a bonus, but are by no means required: Prior commercial experience, particularly if this involved customer-facing work or project management. Research experience (PhD or Postdoc) as evidenced by academic publications and conference talks. Working knowledge of any of following ML domains: NLP, Bayesian inference, computer vision, deep learning, causal modelling, AI safety Experience creating web apps using e.g. Dash, Flask, React.js Familiarity with MLOps including deployment, monitoring and scalability tooling. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. Why now? We're experiencing rapid growth and are looking for a Senior Product Manager to provide leadership and delivery excellence to our growing product team. And be at the forefront of high impact and mission critical AI transformation programmes that aim to improve society and public services in the UK. The role: As a Senior Product Manager in the Government & Public Services team at Faculty, you will be focused on serving the needs of our customers across a range of complex problems in National Security, Education, Law enforcement, Public services and AI Safety. This is an intellectually demanding role that requires strong analytical skills, exceptional judgement, and the ability to thrive in ambiguity. You'll be solving complex and sensitive problems, often for the first time and in fast-changing environments, and you'll need to do so with discretion and integrity. Leveraging your experience of AI software product delivery methodologies, you'll play a leading role in influencing the product development approach and mindset within the business unit. You can expect high levels of delivery responsibility, customer exposure, and business development involvement from day one, as well as the opportunity to contribute directly to our growth plans. What you'll be doing: Leading multidisciplinary teams to develop products from discovery through to live deployment. You will be the driving force and core of the team, leading agile ceremonies such as sprint planning, stand ups, retrospectives, backlog refinement. Accountable for the delivery of multiple products, managing multiple priorities and projects simultaneously. Working side-by-side with stakeholders to understand their strategic goals and needs, shaping and scoping work to design phased approaches that deliver meaningful, value-adding products. Building trusted and enduring relationships. You'll be comfortable working with senior stakeholders, building trust through delivery excellence and an increasing mastery of how Al can be put to work to solve our customers' hardest problems. Playing a key role in growing and shaping the product community at Faculty. You'll be responsible for setting delivery standards, defining best practices, and fostering a culture of product excellence. Supporting the development of individuals in Faculty's delivery teams, providing coaching on areas for improvement and opportunities to develop as to maximise their potential. What we're looking for: A successful candidate will have demonstrable experience of AI and/or software product management, with strong preference to candidates that hold domain experience and knowledge in the Government & Public Services arena. To succeed in this role, you'll need demonstrable experience in some of the following: 8+ years of Product Management experience, with demonstrated experience and owning and delivering digital products across all aspects of the product lifecycle in an agile approach. Experience within a consultancy is preferred, but we also welcome applicants from product-led organisations or government departments. Strong track record of product development from the ground up. Skilled at bringing clarity and structure to ill-defined problems - breaking down complex scopes into phased approaches that explore the problem space, define strategy, and deliver early proofs of concept toward long-term solutions. Experience delivering AI/ML products, with a solid understanding of the challenges involved in AI delivery. While not an AI/ML specialist, you have a solid command of data science techniques and engineering principles, able to spot technical dependencies and contribute to technical solution design. Exceptionally strong stakeholder management and ability to influence decision makers through data driven insights, with demonstrated experience of managing multiple stakeholders with competing priorities. Experience of delivering to the Government Service Standard, employing Design Thinking principles and employing agile delivery approaches is highly desirable. Strong experience of feature trade off, driven by robust prioritisation approaches. Experience of leading multi-disciplinary teams. Accountable for defining the product vision and goals, aligning teams around a shared direction, and fostering a collaborative, inclusive, and creative working environment. A natural curiosity and drive, with a passion for continuous learning and a commitment to always doing your best work. Experience mentoring and developing junior team members. Helping them grow their skills and progress in their careers. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. About the Role You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Government & Public Services arena. Because of the potential to work with our clients in the National Security space, you will need to be eligible for Security Clearance, details of which are outlined when you click through to apply. What You'll Be Doing You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineerings are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For You can view our company principles here . We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of, and experience with the full machine learning lifecycle Working with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with software engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GPS or Azure) Demonstrable experience with containers and specifically Docker and Kubernetes An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Demonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. What you'll be doing: As a Senior Data Scientist within Frontier, you will lead the data science work on project teams that are configuring our product Frontier for our customers. Each deployment of Frontier requires a computational twin, essentially an AI-powered digital twin, to be built, and it is primarily the responsibility of our data scientists to both design and then build these computational twins. Whilst doing this well is partly about building familiarity with Frontier's development interfaces, it's mainly about doing things that are critical in any applied data science role; namely deeply understanding the core customer problem in order to ensure that the technical solution can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation. In terms of other activities you'll do in the role: You'll be a leader within a cross-functional delivery team, working closely with engineers, designers, and commercial roles to deliver value to customers. Working closely with the leads of these other functions you'll ultimately be responsible for the successful delivery. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. You will play an important role in the development of other data scientists at Faculty through activity management and potentially line management of others. Who we're looking for: Senior experience in either a professional data science position or a quantitative academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic culture An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery A product mindset, able to understand the needs of users and to learn how Frontier delivers them value What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the role As a Lead Software Engineer in our Customer Development team, you won't just build software - you'll lead the charge in deploying, customising, and scaling our groundbreaking Frontier platform directly with our enterprise clients. As we continue to expand our platform's reach, you'll have the unique opportunity to build a scalable AI focussed product, remain close to live customer feedback whilst leading the way in technical best practices. In this role, you'll be immersed leading the deployment of Frontier in complex environments, tackling complex real-world challenges using state-of-the-art technology. From optimising multinational supply chain logistics to reducing time-to-market for clinical trials and supporting sustainability goals in various industries, Frontier empowers organisations to make informed decisions through AI-driven insights. Join us on this exciting journey of transforming decision-making with AI and machine learning, revolutionising how businesses thrive utilising Decision Intelligence. What you will be doing At the heart of Decision Intelligence for each customer lies one or more Computational Twins (CT). A CT is a digital representation of an existing business process in which decisions are made. Our platform enables a CT to show historical process performance, model future behaviour and simulate decisions As a Lead Software Engineer in the Customer Development team, you'll lead the technical delivery of customer-facing projects, guiding a small, cross-functional team. You'll collaborate directly with customers and their engineering teams to understand their systems and data, and help integrate Frontier into their workflows. This often includes extending or adapting our frontend, backend, and infrastructure-as-code components, as well as supporting the creation of Computational Twins that model complex real-world systems. You'll play a hands-on role in shaping how Frontier is deployed and scaled in production environments, ensuring it delivers real impact from day one. Your responsibilities will include Lead Client Engagements: Act as the primary technical authority and partner for our enterprise clients, guiding them from discovery through to successful production deployment. Mentor Your Squad: Lead and mentor a dedicated, cross-functional squad of engineers, fostering their growth and setting the standard for technical excellence and creative problem-solving. Architect & Build Solutions: Roll up your sleeves to design, build, and extend components of the Frontier platform (Python, TypeScript, IaC) to meet specific customer challenges and workflows. Bridge Product and Delivery: Be the crucial link between our customers and our core product teams. Translate customer needs and implementation challenges into actionable feedback and feature requests that shape the future of Frontier. What You'll Bring to the Team Leadership & Communication: Exceptional Communication: You have a proven ability to distill complex technical concepts for diverse audiences, from client-side engineers to senior business stakeholders. This is crucial for success. Pragmatic Leadership: Experience leading complex technical projects and mentoring other engineers, empowering them to do their best work. Customer-Centric Mindset: A genuine passion for working with customers, understanding their problems, and delivering solutions that provide immediate value. Technical Expertise: Full-Stack Proficiency: Strong, hands-on experience in full-stack development, with a deep understanding of system architecture and design. Core Technologies: Expertise in Python and TypeScript/React. Infrastructure & Deployment: Solid knowledge of CI/CD pipelines (e.g., GitLab), Docker, and deploying applications on Kubernetes. Testing & Quality: A demonstrated history of championing automated testing strategies to ensure robust and reliable code. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the role This is an exciting opportunity to join Faculty as the most senior data scientist in its recently formed Professional and Financial Services Team. As the Lead Data Scientist, you'll have an opportunity to shape a technical vision and guide the senior and junior data scientists on your team. Working collaboratively, you will oversee project teams that deliver high-impact AI solutions that are differentiated and compelling. You will also lead project teams delivering enterprise-scale applications for a range of clients, including major banks, asset managers, insurers, law firms, and B2B services. Maintaining ownership of the data science approach, you will own the technical vision for your projects, partner directly with clients to shape strategy, and play a crucial part in mentoring the next generation of data science talent at Faculty. What you'll be doing Project Leadership: Guide the technical delivery of custom data science solutions for clients, from initial discovery to deployment in production Own the end-to-end data science approach, designing and implementing the appropriate techniques - from classic to AI agents using LLMs - that are designed, optimised and applied at scale Design robust and scalable software architecture for the solutions you build, ensuring best practices in engineering and MLOps are followed. Partner with our commercial team and clients to build strong relationships, acting as a trusted technical advisor. Articulate intricate technical concepts and strategic decisions clearly and effectively to diverse audiences, from client-side engineers to C-suite executives. Team Mentorship: Formally manage and mentor a number of data scientists, taking responsibility for their career progression and professional growth. Provide targeted technical support and learning opportunities for data scientists on your project teams. Contribute to sustaining our culture, creating an atmosphere of collaboration and setting a high standard for performance and technical excellence. Technical Leadership Establish a distinct and differentiated data science vision for professional and financial services, and communicate that vision through external thought leadership and in potential client presentations. Partner with our commercial team to ensure potential projects and programmes of work are appropriately resourced, balancing client delivery, colleague wellbeing, and commercial imperatives. Keep abreast of the latest technical and technology advancements, share these with others in the organisation, and identify how they can help drive Faculty forward. Who we're looking for You have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques, for example: supervised/unsupervised machine learning, model cross-validation, Bayesian inference, and time-series analysis An excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch) Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience in consulting would be a bonus. You possess proven experience leading data science projects and making key decisions on technical direction and architecture. You are an exceptional communicator, capable of building rapport with clients and translating complex ideas into clear, actionable insights. You have a strategic mindset, with a grasp on key financial services sector trends that informs a compelling technical vision. You are passionate about developing people and have experience mentoring or managing other technical professionals. You are motivated to contribute to the wider data science community. We will actively support you in building your professional profile by speaking at major conferences, delivering courses, or contributing to open-source projects. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. Faculty conducts critical red teaming and builds evaluations for misuse capabilities in sensitive areas, such as CBRN, cybersecurity and international security, for several leading frontier model developers and national safety institutes; notably, our work has been featured in OpenAI's system card for o1. Our commitment also extends to conducting fundamental technical research on mitigation strategies, with our findings published in peer-reviewed conferences and delivered to national security institutes. Complementing this, we design evaluations for model developers across broader safety-relevant fields, including the societal impacts of increasingly capable frontier models, showcasing our expertise across the safety landscape. About the role As a Senior Research Scientist at Faculty you will contribute to Faculty's success by performing novel scientific research in the area of AI safety that progresses scientific understanding though external publications and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Research Leadership: Own and drive forward themes and areas of interest demonstrated by high-impact AI research. Contribute to the wider vision for Faculty's research effort in AI safety through team contributions to the research agenda. Support Faculty's positioning as a leader in AI safety through thought leadership and stakeholder engagement. Research Agenda Development: Shape our research agenda by identifying impactful research opportunities and balancing scientific and practical priorities. Interface with the wider business to ensure alignment between the R&D team's research efforts and the company's long term goals with a specific focus in the AI safety and commercial projects in the space. Team Management and Mentorship Guide and mentor junior researchers in the team, fostering a collaborative and innovative culture across a wide-range of AI Safety-relevant research topics Technical Contributions: Lead technical research within the AI Safety space; some examples of AI safety research we've worked on include developing novel attacks against models, fine-tuning models for additional safety (e.g. knowledge unlearning), increasing self-consistency of language models and uncertainty estimation. Support the delivery of evaluations and red-teaming projects in high-risk domains, such as CBRN and cybersecurity, with a focus on government and commercial partners. Who we are looking for A track record working with high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety, with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability) Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.) The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and professional development of others. Excellent verbal and written communication skills. The following would be a bonus, but are by no means required: Commercial experience applying AI safety principles in practical or high-stakes contexts. Background in red-teaming, evaluations, or safety testing for government or industry applications. We welcome applicants who have academic research experience in a STEM or related subject. A PhD is great, but certainly not necessary What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. Faculty conducts critical red teaming and builds evaluations for misuse capabilities in sensitive areas, such as CBRN, cybersecurity and international security, for several leading frontier model developers and national safety institutes; notably, our work has been featured in OpenAI's system card for o1. Our commitment also extends to conducting fundamental technical research on mitigation strategies, with our findings published in peer-reviewed conferences and delivered to national security institutes. Complementing this, we design evaluations for model developers across broader safety-relevant fields, including the societal impacts of increasingly capable frontier models, showcasing our expertise across the safety landscape. About the role As a Lead Research Scientist at Faculty, you will be leading scientific research, and other researchers, in the area of AI safety that progresses scientific understanding. You will contribute to both external publications, and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Research Leadership: Lead the AI safety team's research agenda, setting priorities and ensuring alignment with Faculty's long-term goals. Conduct and oversee the development of cutting-edge AI safety research, with a focus on large language models and other safety-critical AI systems. Publish high-impact research in leading conferences and journals (e.g., NeurIPS, ACL, ICML, ICLR, AAAI). Support Faculty's positioning as a leader in AI safety through thought leadership and stakeholder engagement. Research Agenda Development: Shape our research agenda by identifying impactful research opportunities and balancing scientific and practical priorities. Interface with the wider business to ensure alignment between the R&D team's research efforts and the company's long term goals with a specific focus in the AI safety and commercial projects in the space. Team Management and Mentorship Build and lead a growing team of researchers, fostering a collaborative and innovative culture across a wide-range of AI Safety-relevant research topics Provide mentorship and technical guidance to researchers across diverse AI safety topics. Technical Contributions: Lead hands-on contributions to technical research. Collaborate on delivery of evaluations and red-teaming projects in high-risk domains, such as CBRN and cybersecurity, with a focus on government and commercial partners. Who we are looking for A proven track record of high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety, with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability) Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.) The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and professional development of others. Excellent verbal and written communication skills. The following would be a bonus, but are by no means required: Commercial experience applying AI safety principles in practical or high-stakes contexts. Background in red-teaming, evaluations, or safety testing for government or industry applications. We welcome applicants who have academic research experience in a STEM or related subject. A PhD is great, but certainly not necessary What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About This Role We are seeking a dynamic and driven individual to lead our work with clients in the asset management, wealth management, private equity, and capital market sector. In this role, you will be responsible for driving revenue growth and enhancing our impact with investors and investment managers. This position involves developing sector strategies, enhancing our client proposition, and fostering strong relationships with C-suite stakeholders. You will report to the Business Unit Director- Financial Services and play a key role in the Financial Services team within the Applied AI division. Role Specific Responsibilities: Revenue Growth: Achieve or exceed revenue targets by acquiring and effectively serving institutional investor and investment banking clients, including wealth managers, asset managers, hedge funds, and private equity firms. Sector Strategy: Develop and implement a strategy for growing our business with institutional investors, aligning with the wider strategy for the Financial Services Business Unit and Faculty Client Proposition Development: Enhance our value proposition to investors by creating an efficient and insightful approach to due diligence and related activities used to inform investing in public and private markets related to AI Account Planning: Design and execute a strategic approach to engaging the investment industry, expanding beyond technical due diligences to delivering AI software solutions within investment firms and the companies they invest in Delivery Enablement: Ensure the successful delivery of high-quality outcomes for clients in the investment industry by providing effective oversight on projects and programs, through a structured, repeatable approach to their delivery Client Management: Foster strong relationships with C-suite stakeholders, acting as a trusted advisor Thought Leadership: Build our profile in the investment management industry by delivering original and creative insights about AI through high-profile speaking engagements and publications Skills and Experience Required: Industry Experience: Intimate understanding of the institutional landscape and strong personal connections with the investment industry gained through prior roles in asset management, investment banks, PE firms, or similar Skilled at Valuation: Capable of applying appropriate techniques to quantify financial value from AI software and data sources, ideally underpinned by relevant qualifications such as the CFA Rapid Researcher and Learner: Adept at swiftly identifying and absorbing information on new technologies sufficiently to discuss them effectively with executives and convey their relevance to capital market and private capital firms Commercial Nous: Proven ability to achieve commercial targets, evidenced by sales within/to financial services firms Delivery Excellence: Track record of delivering complex projects within tight deadlines, preferably including technical due diligences for PE firms or other institutional investors and/or AI transformation Compelling Communicator: Skilled at crafting clear, confident, concise, and impactful presentations to executives in the financial services industry Collaborative Leader: Builds authentic relationships with colleagues, building trust and inspiring followership, capable of leading delivery teams effectively AI Enthusiasm: Possesses a broad and nuanced view of the key opportunities and challenges facing both the buy and sell side, with good intuition and palpable excitement as to where AI can be used to address them What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About this role: This is a hugely exciting opportunity to lead and build out Faculty's growing AI work in the education sector. With the advent of LLMs and AI agents, AI holds huge potential for transforming many aspects of education - across classroom teaching and learning, enabling personalised digital learning, augmenting and differentiating education content, and improving back-off operations.Faculty has been at the forefront of this change: we are the key AI partner for UK government in education including building the flagship 'AI Education Content Store', and work with some of the world's leading school groups, education companies, ed-tech startups, and assessment organisations to help them to successfully innovate with AI and embed it into their core products and operations. We are looking to hire a Head of Education Sector as a newly created role to capitalise on this early success and significantly grow our portfolio of clients in the sector. We are looking for someone with strong expertise in the commercial education sector, to complement our existing strength in government and the state education sector. We are open minded about your career background, but expect the appointed candidate to have wide and deep understanding of the largest education solution providers (our target clients), their product portfolios, customers, users, and use cases, and the competitive landscape they operate in. You will use this to identify and guide how AI can enable a next generation of solutions for these clients. We are also open minded about whether your background is in K12, Higher Education, or ELT, and are keen for you to help shape our strategy for growth - by identifying and prioritising client types, sector focus, and geographies (we have had success in the UK and US so far).You will lead on defining our go-to-market strategy in education and sharpen our core offerings for the sector, help us win new clients, nurture new and existing clients into long-running accounts which drive mutual long-term value, and make sure that our delivery is grounded in value creation for our clients and evolving our services as they mature. You will have close support to succeed in all this from Faculty's Managing Director of Applied AI, who was previously Head of Strategy at the UK Department for Education; and Faculty's senior external Education Advisor, who's had a 30 year career in edt-ech and previously built some of Pearson's most successful global digital learning products.And by leading Faculty's important work in this space, you will have the exciting opportunity to be at the forefront of how AI will transform education. Role Specific Responsibilities: Sales and Revenue growth: Achieve or exceed sales targets, by winning new clients across global Education and deepening our success with existing clients. This will have a particular focus on commercial education companies, including large education companies, large school groups, and edtech providers globally - across K12, Higher Education and English Language Teaching Sector strategy: Develop and own a strategy for growing Faculty's portfolio in Education that is aligned with Faculty as a whole, working closely with Faculty's Managing Director (who has an Education background), and Faculty's external Education adviser - e.g. defining where to focus and which companies to target and why Sector offerings: Develop a compelling set of offerings to help clients use AI at scale, utilising your deep knowledge of the sector and a conceptual understanding of how AI can be used to build next-generation education solutions Strategic partnerships: Develop and establish partnerships with other firms that can drive Faculty's growth, and find ways to make useful joins across the sector Account oversight: Build and oversee Faculty's key accounts in Education, nurturing ongoing client relationships which deliver revenue over multiple engagements and drive lasting value and impact Delivery enablement: Provide oversight of deliverables for education clients, using your sector expertise to steer delivery teams and ensure high-quality outcomes Client management: Foster strong relationships with key customers and C-suite stakeholders Thought leadership: Build Faculty's profile in the education sector by delivering original and creative insights about AI in education through high-profile speaking engagements and publications Skills and experience required: Industry expertise: Deep knowledge and experience of the commercial education sector, including market segmentation, key value drivers, and pain points Digital learning expertise: Knowledge of the digital learning or edtech markets, including what is involved in building successful digital learning products, commercial considerations, and opportunities for AI Applied AI knowledge: Broad conceptual understanding of AI and its relevance to the education sector. And, a curiosity to continually learn about new capabilities Sales acumen: Skilled at selling and building and cultivating strong relationships with senior clients Creativity: Strong ability to identify new market opportunities and develop differentiated propositions that can set Faculty apart from other firms in the market; ability to be a 'thought partner', helping clients ideate and solutionise about how to use AI Persuasiveness: Exceptional communicator who can articulate complex ideas clearly for diverse audiences, from C-suite executives to technical teams, in ways that inspire confidence and followership Commercial nous: Sharp commercial sensibilities, with the ability to deftly balance staffing for successful client delivery with pricing that secures client buy-in, and to build lasting profitable accounts with key customers Leadership: Proven capability to inspire and motivate others, being both relatable and capable of having challenging conversation What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award-winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the role As a Senior Research Scientist at Faculty you will contribute to Faculty's success by performing novel scientific research in the area of AI safety that progresses scientific understanding through external publications and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Research Leadership: Own and drive forward themes and areas of interest demonstrated by high-impact AI research. Contribute to the wider vision for Faculty's research effort in AI safety through team contributions to the research agenda. Support Faculty's positioning as a leader in AI safety through thought leadership and stakeholder engagement. Research Agenda Development: Shape our research agenda by identifying impactful research opportunities and balancing scientific and practical priorities. Interface with the wider business to ensure alignment between the R&D team's research efforts and the company's long-term goals with a specific focus in the AI safety and commercial projects in the space. Team Management and Mentorship: Guide and mentor junior researchers in the team, fostering a collaborative and innovative culture across a wide range of AI Safety-relevant research topics. Technical Contributions: Lead technical research within the AI Safety space; some examples of AI safety research we've worked on include developing novel attacks against models, fine-tuning models for additional safety (e.g. knowledge unlearning), increasing self-consistency of language models and uncertainty estimation. Support the delivery of evaluations and red-teaming projects in high-risk domains, such as CBRN and cybersecurity, with a focus on government and commercial partners. Who we are looking for A track record working with high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety, with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability). Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and professional development of others. Excellent verbal and written communication skills. The following would be a bonus, but are by no means required: Commercial experience applying AI safety principles in practical or high-stakes contexts. Background in red-teaming, evaluations, or safety testing for government or industry applications. We welcome applicants who have academic research experience in a STEM or related subject. A PhD is great, but certainly not necessary. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the role As a Lead Research Scientist at Faculty, you will be leading scientific research, and other researchers, in the area of AI safety that progresses scientific understanding. You will contribute to both external publications, and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Research Leadership: Lead the AI safety team's research agenda, setting priorities and ensuring alignment with Faculty's long-term goals. Conduct and oversee the development of cutting-edge AI safety research, with a focus on large language models and other safety-critical AI systems. Publish high-impact research in leading conferences and journals (e.g., NeurIPS, ACL, ICML, ICLR, AAAI). Support Faculty's positioning as a leader in AI safety through thought leadership and stakeholder engagement. Research Agenda Development: Shape our research agenda by identifying impactful research opportunities and balancing scientific and practical priorities. Interface with the wider business to ensure alignment between the R&D team's research efforts and the company's long term goals with a specific focus in the AI safety and commercial projects in the space. Team Management and Mentorship: Build and lead a growing team of researchers, fostering a collaborative and innovative culture across a wide-range of AI Safety-relevant research topics. Provide mentorship and technical guidance to researchers across diverse AI safety topics. Technical Contributions: Lead hands-on contributions to technical research. Collaborate on delivery of evaluations and red-teaming projects in high-risk domains, such as CBRN and cybersecurity, with a focus on government and commercial partners. Who we are looking for A proven track record of high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety, with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability). Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and professional development of others. Excellent verbal and written communication skills. The following would be a bonus, but are by no means required: Commercial experience applying AI safety principles in practical or high-stakes contexts. Background in red-teaming, evaluations, or safety testing for government or industry applications. We welcome applicants who have academic research experience in a STEM or related subject. A PhD is great, but certainly not necessary. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.