Why Faculty? 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 here. 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. 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. 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. About the team Our Defence team is focused on building and embedding human centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting edge AI to high stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on site with these customers which may require travel to locations throughout the UK. When not required on client sites, you'll have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role As a Senior Machine Learning Ops 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. This is an ambitious, cross functional role requiring a blend of technical expertise, engineering leadership, and confident client facing skills. What you'll be doing: Leading technical scoping and architectural decisions for high impact ML systems Designing and building production grade ML software, tools, and scalable infrastructure Defining and implementing best practices and standards for deploying machine learning at scale across the business Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth Who we're looking for: You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems You have demonstrable hands on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure You've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale You thrive in fast paced, high growth environments, demonstrating ownership and autonomy in driving projects to completion You communicate exceptionally well, confidently guiding both technical teams and senior, non technical stakeholders The Interview Process Talent Team Screen (30 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes) Our Recruitment Ethos 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. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - . Please know we are open to conversations about part time roles or condensed hours.
Jan 30, 2026
Full time
Why Faculty? 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 here. 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. 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. 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. About the team Our Defence team is focused on building and embedding human centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting edge AI to high stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on site with these customers which may require travel to locations throughout the UK. When not required on client sites, you'll have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role As a Senior Machine Learning Ops 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. This is an ambitious, cross functional role requiring a blend of technical expertise, engineering leadership, and confident client facing skills. What you'll be doing: Leading technical scoping and architectural decisions for high impact ML systems Designing and building production grade ML software, tools, and scalable infrastructure Defining and implementing best practices and standards for deploying machine learning at scale across the business Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth Who we're looking for: You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems You have demonstrable hands on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure You've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale You thrive in fast paced, high growth environments, demonstrating ownership and autonomy in driving projects to completion You communicate exceptionally well, confidently guiding both technical teams and senior, non technical stakeholders The Interview Process Talent Team Screen (30 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes) Our Recruitment Ethos 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. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - . Please know we are open to conversations about part time roles or condensed hours.
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 team Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector. About the role As a Lead Learning Engineer at Faculty, you'll ensure our AI-powered education solutions are grounded in learning science, measurably effective, and set a global standard for education innovation and excellence. You will set the strategy for learning design and evaluation, drive the creation and adoption of our Learning Engineering Playbook, and ensure our products genuinely improve how people learn. Working closely with senior leadership and cross-functional teams, you will architect scalable, data-rich learning systems and guide others to embed best-in-class learning science into our product development. What you'll be doing: Leading the design of learning goals, skill models, adaptivity logic, and feedback systems across flagship education projects. Creating and owning Faculty's Learning Engineering Playbook, defining best practices for scaffolding, feedback loops, measurement rubrics, and data instrumentation (i.e., how we track learning progress through user interactions). Designing and overseeing rigorous evaluations including formative, summative, and quasi-experimental studies to test product effectiveness and improve learning outcomes. Collaborating with product, data science, and engineering leads to co-architect learning systems that are technically robust and pedagogically sound. Coaching and mentoring Learning Engineers and cross-functional colleagues (PM, UX, DS) to apply learning science principles in day-to-day product decisions. Acting as the internal and external subject matter expert on learning science, representing Faculty in strategic conversations with senior clients. Who we're looking for: You have expert-level knowledge of learning sciences, instructional design, and cognitive or behavioural science. You've led the design and evaluation of complex digital learning systems, especially adaptive or AI-driven tools at scale. You bring deep expertise in defining data instrumentation and running robust evaluation strategies to measure learning impact (e.g., mastery, retention, transfer). You can partner confidently with data scientists and engineers to design adaptive systems and telemetry pipelines rooted in pedagogy. You're an excellent communicator with the ability to influence senior stakeholders and guide product strategy through the lens of learning science. 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.
Jan 16, 2026
Full time
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 team Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector. About the role As a Lead Learning Engineer at Faculty, you'll ensure our AI-powered education solutions are grounded in learning science, measurably effective, and set a global standard for education innovation and excellence. You will set the strategy for learning design and evaluation, drive the creation and adoption of our Learning Engineering Playbook, and ensure our products genuinely improve how people learn. Working closely with senior leadership and cross-functional teams, you will architect scalable, data-rich learning systems and guide others to embed best-in-class learning science into our product development. What you'll be doing: Leading the design of learning goals, skill models, adaptivity logic, and feedback systems across flagship education projects. Creating and owning Faculty's Learning Engineering Playbook, defining best practices for scaffolding, feedback loops, measurement rubrics, and data instrumentation (i.e., how we track learning progress through user interactions). Designing and overseeing rigorous evaluations including formative, summative, and quasi-experimental studies to test product effectiveness and improve learning outcomes. Collaborating with product, data science, and engineering leads to co-architect learning systems that are technically robust and pedagogically sound. Coaching and mentoring Learning Engineers and cross-functional colleagues (PM, UX, DS) to apply learning science principles in day-to-day product decisions. Acting as the internal and external subject matter expert on learning science, representing Faculty in strategic conversations with senior clients. Who we're looking for: You have expert-level knowledge of learning sciences, instructional design, and cognitive or behavioural science. You've led the design and evaluation of complex digital learning systems, especially adaptive or AI-driven tools at scale. You bring deep expertise in defining data instrumentation and running robust evaluation strategies to measure learning impact (e.g., mastery, retention, transfer). You can partner confidently with data scientists and engineers to design adaptive systems and telemetry pipelines rooted in pedagogy. You're an excellent communicator with the ability to influence senior stakeholders and guide product strategy through the lens of learning science. 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.
Why Faculty? 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 here. 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. 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. 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. About the team In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help firms become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for meaningful innovation and are proud to set the gold standard for marrying technical excellence with safe deployment. About the role Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from AI strategy to client side deployments, while ensuring architectural decisions are sound and reliable. This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you're ready to manage high risk projects and deliver practical, innovative outcomes, this is your chance to shape our future. What you'll be doing Setting the technical direction for complex ML projects, balancing trade offs, and guiding team priorities. Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions. Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill defined, high risk environments. Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them. Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth. Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition. Acting as a technical expert and coach for customers, accurately estimating large work streams and defending rationale to stakeholders. Who we're looking for You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem. You possess strong Python skills and practical experience operationalising models using frameworks like Scikit learn, TensorFlow, or PyTorch. You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full stack web applications. You have hands on experience with containerisation tools like Docker and orchestration via Kubernetes. You can successfully manage and coach a team of engineers, setting team wide development goals to improve client delivery. You find novel, clever solutions for project delivery and take ownership for successful project outcomes. You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non technical stakeholders. Our Interview Process Talent Team Screen (30 minutes) Introduction to the role (45 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial & Leadership Interview (60 minutes) Our Recruitment Ethos 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. Some of our standout benefits Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat. Please know we are open to conversations about part time roles or condensed hours.
Jan 09, 2026
Full time
Why Faculty? 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 here. 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. 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. 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. About the team In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help firms become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for meaningful innovation and are proud to set the gold standard for marrying technical excellence with safe deployment. About the role Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from AI strategy to client side deployments, while ensuring architectural decisions are sound and reliable. This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you're ready to manage high risk projects and deliver practical, innovative outcomes, this is your chance to shape our future. What you'll be doing Setting the technical direction for complex ML projects, balancing trade offs, and guiding team priorities. Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions. Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill defined, high risk environments. Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them. Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth. Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition. Acting as a technical expert and coach for customers, accurately estimating large work streams and defending rationale to stakeholders. Who we're looking for You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem. You possess strong Python skills and practical experience operationalising models using frameworks like Scikit learn, TensorFlow, or PyTorch. You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full stack web applications. You have hands on experience with containerisation tools like Docker and orchestration via Kubernetes. You can successfully manage and coach a team of engineers, setting team wide development goals to improve client delivery. You find novel, clever solutions for project delivery and take ownership for successful project outcomes. You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non technical stakeholders. Our Interview Process Talent Team Screen (30 minutes) Introduction to the role (45 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial & Leadership Interview (60 minutes) Our Recruitment Ethos 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. Some of our standout benefits Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat. Please know we are open to conversations about part time roles or condensed hours.