Faculty

A cutting-edge AI company in Greater London seeks a Lead Software Engineer to spearhead backend and edge/IoT engineering for Defence projects. This role requires leading a team, designing complex components, and implementing CI/CD processes. Proficiency in Python and at least one compiled language is essential. You will collaborate with cross-functional teams and ensure high-quality software delivery. The position offers remote flexibility and a hybrid working 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 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 Lead Software Engineer, you will spearhead our backend and edge/IoT engineering for high-stakes Defence projects, implementing patterns and practices that are both scalable and future-proof. You will bridge the gap between proof-of-concept and robust systems, raising the engineering bar across your team and the wider business unit. Acting as both a technical authority and a mentor, you'll work alongside Machine Learning Engineers and Data Scientists to deliver production-grade solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. What you'll be doing: Leading and mentoring a dedicated squad of engineers to ensure the delivery of high-quality, scalable software. Designing and building complex components of client deliverables across backend and edge/IoT domains. Implementing robust CI/CD processes and containerisation strategies using Docker and Kubernetes. Shipping production-ready code in Python and compiled languages such as Rust, C++, or Go. Collaborating with cross-functional teams to integrate advanced AI and Machine Learning capabilities into software architectures. Distilling complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders. Who we're looking for: You have extensive experience in application development and a deep understanding of modern system architecture and design patterns. You are proficient in Python and at least one compiled language, with a proven track record of shipping code to paying customers. You bring a leadership mindset, with the ability to empower engineers and foster a culture of technical excellence. You possess strong hands on experience with DevOps tools, including GitLab CI/CD, Docker, and deployment on bare metal or Kubernetes. You are a compelling communicator who can build trusted relationships with client side engineers and senior business leaders. You thrive in ambitious environments and are passionate about solving real-world problems with immediate impact. The Interview Process Talent Team Screen (30 minutes) Introduction to the role (45 minutes) System Design Interview (90 minutes) Pair Programming 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 If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

A leading AI solutions company in London is seeking a Full Stack Software Engineer to build and scale AI-powered systems. You will create scalable architectures, lead cross-functional teams, and mentor junior engineers. Ideal candidates have extensive experience in TypeScript, strong backend skills in Python, and cloud deployment experience. Enjoy a flexible hybrid work environment with unlimited annual leave and healthcare benefits.

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 As a Full Stack Software Engineer, you will collaborate with cross-functional teams to build and scale AI-powered systems that solve unique challenges for global clients. This is an opportunity to take ownership of the entire stack, turning sophisticated machine learning outputs into high-impact, production-ready solutions that drive real-world transformation. What you'll be doing: Creating reliable, reusable, and scalable frontend and backend architectures to enable the seamless delivery of advanced AI systems. Leading engineers within cross-functional teams-alongside Data Scientists and Product Managers-to deploy technically sophisticated, high-impact software. Designing and architecting robust project frameworks that maintain a balance between rapid prototyping and long-term maintainability. Mentoring junior engineers by providing technical guidance, conducting code reviews, and fostering a culture of engineering excellence. Acting as the primary technical authority for full-stack development within your delivery unit to ensure best practices are met. Providing deep technical expertise to customers, helping them navigate complex requirements and architectural scoping. Who we're looking for: You bring extensive experience in TypeScript and modern frontend frameworks like React or Vue, paired with a strong eye for intuitive UI/UX design. You possess solid backend development skills in Python or TypeScript frameworks (such as FastAPI, Flask, or Django) and are comfortable managing the full application lifecycle. You are experienced in deploying software within cloud environments like AWS, Azure, or GCP, ideally using containerisation tools like Docker. You demonstrate a scientific and pragmatic mindset, testing assumptions and balancing big-picture vision with the technical details required for execution. You thrive in autonomous, fast-paced environments where you can take full ownership of problems and collaborate directly with clients to define technical strategy. You are a compelling communicator who enjoys working in a team-oriented culture and has a relentless drive to learn and apply novel technologies. Our 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 don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part time hours.

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 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. 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) 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 don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part time hours.

A leading AI consultancy in the UK is seeking a Lead Machine Learning Engineer to guide the technical direction of innovative AI projects. Responsibilities include overseeing project delivery, mentoring engineers, and developing scalable solutions. The ideal candidate has strong Python skills, experience with machine learning frameworks, and a solid background in cloud technologies. This role offers a hybrid working arrangement and opportunities for career growth in a thriving AI environment.

A leading AI solutions firm in London is seeking a Machine Learning Engineer to deliver impactful AI solutions for diverse clients. You will build and deploy production-grade ML software while collaborating with cross-functional teams to solve critical challenges. This role requires strong Python expertise, understanding of the machine learning lifecycle, and familiarity with cloud platforms and container management. The firm promotes a diverse team atmosphere and offers exceptional benefits including unlimited annual leave and flexible working 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 up to three 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 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 at 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 deliver solutions. Our 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 don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part time hours.

A leading AI consultancy in the UK seeks a Machine Learning Engineer to develop impactful AI solutions for clients. The role involves building production-grade ML software, collaborating with cross-functional teams, and operationalising models using tools like TensorFlow and PyTorch. The ideal candidate will have strong Python skills and experience with cloud services. Employees enjoy hybrid working arrangements and benefits such as unlimited annual leave and private healthcare.

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 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 at 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. 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 don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

A leading AI consultancy in Greater London is looking for a Principal Data Scientist to lead complex projects and mentor a talented team. The ideal candidate has a strong background in machine learning, particularly in Generative AI, and extensive experience within financial services. Responsibilities include serving as a technical authority, contributing to high-stakes projects, and acting as a thought leader. The role offers a hybrid working model and a range of generous benefits.

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 As a Principal Data Scientist at Faculty, you will serve as a technical leader and domain expert who owns and drives the delivery of the most technically complex, high impact projects and programmes for our most important clients. You also will set the technical direction for the data science team, mentor, and develop them so our data scientists remain best in class. This position focuses on deep individual contribution and technical excellence, influencing the broader data science community at Faculty. What you'll be doing: Serving as a technical authority on machine learning, Generative AI, and other advanced data science methods to deliver innovative and impactful solutions. Leading the development of shared resources, frameworks, and best practices adopted across teams and the company. Contributing to the scoping and bid processes for large scale, high stakes projects, influencing client decisions with technical expertise. Owning a portfolio of work within a specific sector, applying expert knowledge to deliver exceptional value to clients. Leading and mentoring project teams and direct reports, ensuring the successful delivery of high value and complex projects. Acting as a thought leader, publishing papers, and presenting at industry and scientific conferences to amplify a distinctive AI vision for our clients. Who we're looking for: You bring demonstrable technical ability, creativity and flexibility from your extensive experience (in academia, industry or both) as thought leader in this space. You'll have prior experience working in or for financial services clients, with standout examples where you've led the delivery of distinctive applications that have driven commercial impact. You bring broad knowledge across a range of machine learning techniques, including experience building Generative AI and agentic AI applications with Large Language Models. You have advanced coding skills in Python and proven experience building and maintaining scalable codebases. You enjoy mentoring junior colleagues and have prior direct management experience, inspiring them to continually stretch and grow their technical skill. You are highly proficient in strategic problem solving and communicating solutions to non technical audiences, able to select appropriate solutions and balance innovation with practical implementation. The Interview Process Talent Team Screen (30 minutes) Introduction to Business Unit Director (30 minutes) Take Home Technical Assessment Technical Interview (90 minutes) Commercial & Principles Interview (90 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 don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part time hours.

A leading AI company in Greater London is seeking a Machine Learning Engineer to deliver impactful AI solutions for diverse clients, including government sectors. You will build production-grade ML software and collaborate with cross-functional teams to ensure timely delivery. Strong Python skills and experience with frameworks like Scikit-learn are essential. The position offers a flexible working environment and emphasizes diversity in hiring.

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 Data Scientist, you will work closely with clients and cross functional teams to define project scope, ensure technical feasibility, and drive delivery excellence. You'll design and deliver bespoke data science solutions, shaping the technical direction of high-impact projects and solidifying our reputation as a leader in practical, measurable AI. What you'll be doing: Mapping the end-to-end data science approach and designing the associated software architecture for projects Driving the technical scoping and feasibility assessment of new projects Building strong client relationships by acting as a technical advisor and shaping the direction of current and future engagements Delivering bespoke algorithms and scalable software solutions that adhere to best practices for high-stakes decision-making Setting the technical bar for the project team, ensuring the highest standards of code, rigour, and delivery quality (IC leadership) Contributing to Faculty's thought leadership and reputation through teaching, public speaking, or open-source projects Who we're looking for: You have proven experience in a professional data science or quantitative academic role, underpinned by high mathematical and statistical competence. You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new algorithms. You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework and measuring model impact upon deployment. You are an exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non-technical audiences. You contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes. Our Interview Process Talent Team Screen (30 minutes) Take Home Technical Assessment Technical 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 don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

A leading AI firm in the Greater London area is seeking a skilled Data Scientist to join their Defence team. In this role, you will design and deliver innovative data science solutions while ensuring technical feasibility and delivery excellence. The ideal candidate will possess strong programming skills in Python as well as extensive experience in machine learning and statistical techniques. This position offers a hybrid working model with flexibility and competitive benefits.

Faculty is looking for a Lead Machine Learning Engineer to lead complex AI projects in Greater London. In this role, you'll set the technical direction, design scalable ML systems, and mentor your engineering team. Ideal candidates will possess strong Python skills and significant experience with frameworks like Scikit-learn, TensorFlow, or PyTorch. The position offers standout benefits including unlimited annual leave, private healthcare, and flexible working arrangements, making it an attractive opportunity for tech leaders.

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 work streams 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 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

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 TM 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 Join us to shape the future of our Frontier Decision Intelligence Platform. As a Senior Data Scientist, you will lead the design and delivery of AI powered digital twins that transform how organisations make critical decisions. You will sit at the heart of cross functional teams, blending technical excellence with commercial insight to solve complex customer problems. This is an opportunity to mentor emerging talent while driving high impact, production grade AI solutions in a fast paced, entrepreneurial environment. What you'll be doing: Designing and building computational twins, creating AI driven digital reflections tailored for each unique Frontier deployment. Leading data science efforts within cross functional teams, partnering with engineers, designers, and commercial leads to ensure successful project outcomes. Understanding deeply core customer challenges to ensure every technical solution delivers significant real world value. Performing rigorous exploratory data analysis, model building, validation, and performance monitoring. Supporting strong client relationships by working alongside our commercial team to shape the strategic direction of projects. Mentoring and developing other data scientists through task leadership and potential line management. Who we're looking for: You have senior level experience in data science or quantitative research, supported by a strong foundation in statistics and mathematics. You're proficient in Python and essential libraries like NumPy and Pandas, with familiarity in deep learning frameworks such as TensorFlow or PyTorch. You possess a versatile toolkit-including supervised learning, time series, and Bayesian methods-and the creativity to develop new algorithms when needed. You bring a leadership mindset focused on technical excellence, team growth, and fostering a collaborative, inclusive culture. You exhibit scientific rigour and a business focused approach, successfully translating complex problems into actionable technical strategies. You've demonstrated success in project planning and delivery, with the communication skills to present persuasively to senior stakeholders. The Interview Process Talent Team Screen (30 minutes) Technical 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 don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

A leading AI solutions provider based in Greater London is seeking a Senior Data Scientist to lead high-impact AI projects. The ideal candidate will possess strong Python skills, expertise in data science paradigms, and the ability to mentor junior staff while ensuring robust AI solutions. This role emphasizes building deep client relationships and delivering measurable impact through innovative technologies and approaches. Embrace the opportunity to shape the technical direction of AI projects in a dynamic and collaborative environment.

A pioneering AI company in London seeks a Lead Data Scientist to define the technical vision for their Frontier product. You will lead project teams in building AI-powered digital twins, guiding deployments from initial discovery to production. The ideal candidate must have deep machine learning expertise, strong Python skills, and experience in managing and mentoring other data scientists. This role offers an empowering environment to innovate and make a meaningful impact in healthcare and life sciences.