Faculty

A leading AI solutions provider in the UK is seeking a Senior Machine Learning Ops Engineer to lead the development of cutting-edge AI systems. The role involves designing, building, and deploying scalable ML software and infrastructure while ensuring compliance with ethical standards. Ideal candidates will have experience in operationalizing models using TensorFlow or PyTorch and strong software engineering and communication skills. This position offers flexibility in remote or hybrid work arrangements.

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.

A leading technology company in London is seeking a Senior Machine Learning Engineer to lead the deployment of AI systems for diverse clients. You will design and implement scalable ML software and infrastructure while collaborating across various teams. The ideal candidate has strong Python skills, experience with frameworks like TensorFlow, and expertise in cloud platforms such as AWS or Azure. Join a dynamic team and drive impactful AI solutions.

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. Bringing medicine to patients is complex, expensive and high risk. Faculty's Life Science team is concentrated on building AI solutions which optimise the research and commercialisation of life changing therapies. We partner with major pharma firms, academic research centres and MedTech start ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role: As a Senior Machine Learning Engineer, we'll look to you to lead development and deployment of cutting edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production grade ML software and infrastructure that meets rigorous operational and ethical standards. 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 as 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 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.

A leading AI company in London is seeking a Senior Machine Learning Engineer to lead the development of innovative AI solutions. The role involves designing scalable ML systems and collaborating with various teams to solve critical challenges. The ideal candidate has substantial experience with ML frameworks, cloud platforms, and excellent communication skills. This position offers a hybrid working model with excellent benefits, including unlimited annual leave.

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 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. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What You'll Be Doing Working in our Defence business unit 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 defence and national security space - examples of which can be found here. 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. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is 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. We're a rapidly growing organisation, so 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. Leading on the scope and design of projects Offering leadership and management to more junior engineers on the team Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. 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. 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 interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. 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 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.

A cutting-edge technology company in Greater London is seeking a Full-Stack Engineer to contribute to their decision intelligence offering. The role involves integrating AI solutions, building products using Python and TypeScript, and collaborating with cross-functional teams to enhance customer experiences. Candidates should possess a strong understanding of system architecture and automated testing strategies. The position supports flexible working with a hybrid model.

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 Bringing medicine to patients is complex, expensive and high risk. Faculty's Life Science's team is concentrated on building AI solutions which optimise the research and commercialisation of life changing therapies. We partner with major pharma firms, academic research centres and MedTech start ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role We're looking for a Cloud Engineer to build the backbone of applied artificial intelligence for our customers. You will design, build, and deploy robust, secure, and scalable cloud infrastructure that powers cutting edge data and machine learning workflows. Working in a cross functional team, you'll solve complex challenges and empower our data scientists and ML engineers to deploy their work effectively, shaping the future of AI solutions. What you'll be doing: Building robust, secure, and scalable cloud infrastructure for AI and ML workflows. Partnering with technical and non technical stakeholders, from initial idea generation through to implementation and shipping. Enabling Machine Learning Engineers and Data Scientists by contributing to internal best practices, standards, and reusable code repos. Proactively identifying and recommending new ways customers can leverage cloud infrastructure to solve their key challenges. Creating and maintaining reusable, company wide libraries and infrastructure as code. Researching and integrating the best open source technologies to enhance Faculty's infrastructure capabilities. Who we're looking for: You are pragmatic and outcome focused, balancing the big picture with the details to execute complex projects in the real world. You think scientifically, always testing assumptions, seeking evidence, and looking for opportunities to improve how things are done. You have a drive to learn, constantly exploring new technologies and novel applications for existing tools. You possess deep experience with at least one major cloud provider (AWS, Azure, or GCP) and Infrastructure as Code, especially Terraform. You are experienced in building and deploying containerized solutions using Docker and Kubernetes, supported by strong CI/CD and GitOps practices. You possess proficient knowledge of Networking and Cloud Security You excel at working directly with clients and stakeholders, confidently handling requirements gathering, technical planning, and scoping. 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 to conversations about part time roles or condensed hours.

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 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. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these customers from time to time. About the role As a Frontend Engineer, you'll be instrumental in visualising insights generated by our data scientists for our clients. Working closely with cross functional delivery teams, especially within the Government & Public Services Business Unit, you will help solve unique challenges using AI and Machine Learning. We're looking for an entrepreneurial technologist to drive industry best practices and standards within our evolving frontend guild and bring Faculty's machine learning work to life. What you'll be doing: Collaborating closely with data scientists, data engineers, and design specialists to build client facing products Prioritisation, planning, coordination, and communication of frontend features to internal and external stakeholders Setting up and maintaining the development and deployment infrastructure for your dedicated frontend team Maintaining and enforcing the technical best practices and standards across Faculty's entire frontend capacity Creating and maintaining reusable component libraries for use in projects company-wide Providing training, mentoring, and onboarding support for new frontend engineers Acting as the go to authority for frontend software engineering within your team Who we're looking for: You have demonstrated experience in building scalable, maintainable, and well tested web applications using React You are highly proficient in foundational web technologies, including ES6 JavaScript, HTML, and CSS3 You have hands on experience writing TypeScript or other typed languages, contributing to robust codebases> You are experienced in data visualisation techniques and implementations, such as d3, to bring data to life You have exposure to deployment into the Cloud with platforms such as AWS, GCP, or Azure You possess a strong focus on technical excellence, eager to set standards and mentor others to build a collaborative, high performing culture Our Interview Process Talent Team Screen (30 minutes) Pair Programming Interview (90 minutes) System Design (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.

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,Ahead join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the team Our Energy, Transition and Environment business unit is pioneering meaningful change in the clean energy revolution. Our vision is to accelerate the transition to net zero emissions and drive efficiencies for a new era of utility companies. We believe that the responsible, and intelligent, deployment of AI is critical to the success of this mission. We partner with a wide range of clients - from major energy operators, to GreenTech startups, and national infrastructure providers - to build solutions which return measurable impact and move us towards a smarter, cleaner, and more sustainable world. About the role Join us as a Lead Software Engineer with a focus on Machine Learning, 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 client side deployments to advising on AILetuhalten, 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 and overseeing delivery of high risk, ill defined software and infrastructure projects while balancing strategic trade offs and helping teams prioritise in shifting environments, taking full ownership of successful outcomes for our most challenging projects. Designing and developing reliable, production grade ML systems and justifying critical architectural decisions to ensure robust delivery. Developing clear, compreh պաշտպանhoodroadmaps for novel solutions to help customers achieve their strategic goals and accurately estimating effort on large workstreams to ensure successful and timely delivery. Engaging with technical and non technical customers at all stages of the customer lifecycle, giving reasoned and credible advice and opinions on a broad range of engineering topics. Collaborating proactively both within multidisciplinary delivery teams and across the engineering community at Faculty to overcome technical challenges. Coaching team members on specific technologies and driving the development of shared organisational resources and libraries to streamline delivery and improve engineering methods across the company. Leading the hiring and selection process while mentoring multiple individuals and managers to define the future shape of the engineering team. Who we're looking for: You You have an entrepreneurial mindset and are proactive in recommending new technologies or ways of working to keep our offering ahead of the competition. You bring expert level experience in at least one major Cloud Solution Provider (AWS, GCP, or Azure) and have led teams to build full stack web applications. You are a proven leader, capable of managing other managers and setting team wide development goals to elevate client delivery. You thrive in high stakes environments, demonstrating the ability to turn innovative ideas into practical, measurable outcomes for global energy operators. You are a compelling communicator who can confidently defend technical rationales to senior stakeholders and guide both technical and non technical teams. The 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) Criterion> 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: מחדש Annual Leave Policy ख ल ड़ य ं Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching t 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.

A leading AI consultancy firm in the City of London is seeking a Senior Data Scientist to lead high-impact AI projects and mentor junior colleagues. The role requires strong Python programming skills and deep expertise in data science paradigms. You will work collaboratively within the team to deliver bespoke AI solutions and build lasting client relationships. The ideal candidate will exhibit a leadership mindset and commercial awareness, as well as a commitment to high-quality, impactful delivery.

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. Bringing medicine to patients is complex, expensive and high risk. Faculty's Life Science's team is concentrated on building AI solutions which optimise the research and commercialisation of life changing therapies. We partner with major pharma firms, academic research centres and MedTech start ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role As a Senior Data Scientist, you will lead high impact AI projects and shape the technical direction of bespoke solutions. This role requires hands on technical excellence combined with crucial team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigor across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI. What you'll be doing: Leading project teams that deliver bespoke algorithms and high stakes AI solutions to clients across the sector. Conceiving the core data science approach and designing the associated robust software architecture for new engagements. Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects. Partnering with commercial teams to build client relationships and shape project scope for technical feasibility. Contributing to Faculty's thought leadership and reputation through delivering courses, public speaking, or open source projects. Ensuring best practices are followed throughout the project lifecycle to guarantee high quality, impactful delivery. Who we're looking for: You possess senior experience in a professional data science position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms. You bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture. You exhibit commercial awareness, with experience in client facing work and the ability to translate business problems into a rigorous mathematical framework. You are skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high quality work on a strict schedule. 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.

An innovative AI company in Greater London is seeking a Senior Data Scientist to lead data science projects, build AI-powered digital twins, and develop team capabilities. Ideal candidates will possess strong Python programming skills, experience in data science, and a leadership mindset. The role offers flexible working arrangements and a commitment to diversity among team members. Join a progressive team focused on delivering impactful AI solutions.

An innovative AI company in Greater London seeks a Lead Software Engineer to drive AI project delivery. The role emphasizes technical leadership in complex ML systems and collaboration with diverse clients for the clean energy revolution. We're looking for a proactive leader with extensive experience in cloud solutions and the ability to communicate effectively. Ideal candidates will thrive in challenging environments and contribute to measurable outcomes while fostering team growth and mentoring.

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 The Faculty Frontier product is our ambitious vision to create the first enterprise grade platform that unifies decision intelligence with AI Agents to optimise real world outcomes of critical processes across large scale organisations. You will work on highly complex and consequential problems across the real economy, with particular focus on healthcare and life sciences. About the role This role is pivotal in scaling our Decision Intelligence offering, providing AI capabilities that drive high impact decisions across various industries. You will tackle genuinely complex technical challenges, build a scalable, cutting edge AI product, and lead technical best practices while remaining close to live customer feedback. This is an opportunity to transform how organisations thrive by revolutionising decision making with AI and machine learning. What you'll be doing: Serving as a strong technical contributor within a cross functional Delivery Squad, collaborating on impactful customer solutions. Working directly with customer stakeholders and engineering teams to integrate Frontier into existing systems, data sources, and workflows. Building and extending the product using primary languages such as Python and TypeScript. Contributing to the technical delivery of customer facing projects and helping to shape how Frontier is deployed and scaled in production environments. Collaborating across the wider Frontier engineering organisation to implement new features and improve the product's user experience. Who we're looking for: You bring full stack engineering expertise, particularly with Python, TypeScript, and React. You possess a strong understanding of system architecture and design principles. You have a history of championing and implementing automated testing strategies across all levels. You are experienced in working autonomously in a fast paced environment, sometimes introducing creative approaches to difficult problems. You are comfortable collaborating effectively with cross functional teams, including Product Managers and Product Designers, to ensure delightful customer experiences. You have hands on experience with core technologies, including PostgreSQL and containerisation (Docker with Kubernetes deployment is preferred). Interview Process Talent Team Screen (30 mins) Pair Programming Interview (90 mins) System Design (90 mins) Principles interview (60 mins) 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.

A leading AI technology firm in Greater London is seeking a Cloud Engineer to design and build robust cloud infrastructure for AI and machine learning workflows. The ideal candidate will have profound experience with major cloud providers like AWS or Azure, as well as expertise in Terraform and containerization with Docker and Kubernetes. This role offers flexible working arrangements and a commitment to diversity and inclusion. Apply to shape the future of AI solutions!

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 appara. 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 Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the publicicznych. 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. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these customers from time to time. About the role As a Senior Cyber Security Engineer, you will lead our security efforts across a number of key projects, bridging the gap between robust engineering and AI safety. You will play a pivotal role in securing critical infrastructure for high stakes projects while pioneering offensive "Capture the Flag" scenarios to test the limits of frontier AI models. If you are a talented software engineer with a security mindset who thrives on solving complex, real world problems, thisегодня your opportunity to shape the future of AI safety. What you'll be doing: Designing and building sophisticated "Capture the Flag" puzzles and scaffolding to rigorously test the security and capabilities of frontier AI models and agentic systems. Setting technical standards for cyber security across our consulting and AI safety business units, acting as the senior technical authority for deployed security practices. Implementing and securing cloud native environments আজ managing identity, access, and logging across multiple client deployments. Collaborating within cross functional teams of machine learning engineers, data scientists, and designers to ensure security is woven into the fabric of the projects you deliver. Automating security processes, vulnerability management, and secure development lifecycles to create resilient, scalable software. Mentoring and guiding junior engineers and data scientists, fostering a culture of technical excellence and continuous security learning. Who we're looking for: You are a solid software engineer with a deep interest in security, possessing strong Python skills and the ability personally to maintain and adjust complex infrastructure. You possess hands on experience with cloud security tools (such as Security Hub, IAM, and WAF) and a firm understanding of identity management protocols like OAuth2.0 and SAML. You have a proven track record in vulnerability management and securing the application development lifecycle, including container scanning and automated testing. You bring a creative and curious mindset to offensive security, ideally with experience in CTF exercises or red team scenarios. You are a clear and persuasive communicator, comfortable acting as a technical advisor to clients and translating complex risks into actionable engineering tasks. You thrive on autonomy and ownership, ready to step into a senior role where you will define best practices in a fast paced, evolving domain. Our Interview Process Talent Team Screen (30 minutes) Technical 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.

A leading AI company in Greater London is seeking a Senior Cyber Security Engineer to lead security efforts in key projects. The role involves designing and implementing security tests for AI models, setting cyber security standards, and mentoring junior staff. The ideal candidate possesses strong Python skills, experience with cloud security tools, and a creative approach to offensive security. Benefits include unlimited leave, private healthcare, and hybrid working arrangements.

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. Bringing medicine to patients is complex, expensive and high risk. Faculty's Life Science team is concentrated on building AI solutions which optimise the research and commercialisation of life changing therapies. We partner with major pharma firms, academic research centres and MedTech start ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross functional teams, you'll ensure technical feasibility and timely delivery of high quality, production grade ML systems. What you'll be doing: Building and deploying production grade ML software, tools, and infrastructure. Creating reusable, scalable solutions that accelerate the delivery of ML systems. Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges. Leading technical scoping and architectural decisions to ensure project feasibility and impact. Defining and implementing Faculty's standards for deploying machine learning at scale. Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. Who we're looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit learn, TensorFlow, or PyTorch. You possess strong Python skills and solid experience in software engineering best practices. You bring hands on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. You've worked with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale. You are comfortable with core ML concepts, including probability, statistics, and common learning techniques. You're an excellent communicator, able to guide technical teams and confidently advise non technical stakeholders. You thrive in a fast paced environment, and enjoy the autonomy to own scope, solve and delivery solutions. 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.

An innovative AI company in Greater London is seeking a Data Scientist to work closely with clients and deliver bespoke data science solutions. The ideal candidate will possess strong Python programming skills and have a solid understanding of data science techniques. Responsibilities include defining project scope, maintaining client relationships, and ensuring delivery excellence. The role supports hybrid working with two days in the office and offers a flexible environment for growth and innovation.