Machine Learning Engineer at Faculty | London

Join our innovative team at Faculty as a Software Engineer. In this role, you will be responsible for developing scalable software solutions that meet the needs of our clients. You will collaborate with cross-functional teams, utilizing the latest technologies to deliver high-quality products.

Join Faculty as a Software Engineer and become an integral part of our innovative team. You will be responsible for designing, developing, and maintaining software solutions that drive our projects forward. This role offers an exciting opportunity to work on cutting-edge technologies in a collaborative environment.

Join our innovative team at Faculty as a Senior Software Engineer. In this role, you will leverage your technical expertise to design, develop, and maintain software solutions that drive our mission forward. You will collaborate with cross-functional teams to deliver high-quality products that meet the needs of our clients.The ideal candidate is passionate about technology, possesses strong problem-solving skills, and has a proven track record in software engineering. If you thrive in a fast-paced environment and want to make a significant impact, we want to hear from you!

Join Faculty as a Lead Software Engineer where you will spearhead innovative projects and lead a talented team of developers. In this pivotal role, you will be responsible for designing and implementing high-quality software solutions while mentoring junior engineers to enhance their skills and foster a collaborative environment.

Join Faculty as a Full Stack Software Engineer and be part of a dynamic team that is pushing the boundaries of technology. We are looking for an innovative and driven individual who thrives in a fast-paced environment and is passionate about building scalable applications.As a Full Stack Software Engineer, you will work on both front-end and back-end development, collaborating closely with cross-functional teams to deliver high-quality software solutions that meet our clients' needs.

Faculty AI develops artificial intelligence solutions for organizations across government, finance, retail, energy, life sciences, and defense. Since 2014, the team has partnered with over 350 clients worldwide, focusing on responsible AI that delivers measurable results. Learn more about Faculty's impact here. Innovation and practical application guide the work at Faculty. Engineers and scientists are encouraged to challenge assumptions and advance AI technology, building products that make a real difference. Role overview Faculty is seeking Software Engineers in London to help develop Frontier, the company’s main Decision Intelligence AI platform. This position focuses on backend development and cloud infrastructure, supporting the platform’s growth and reliability. Engineers in this role help shape a product designed to bring AI-driven insights to real-world decision-making. What you will do Develop and maintain backend services for the Frontier platform Work on cloud infrastructure to enable scalable AI solutions Apply technical best practices throughout the software development lifecycle Tackle complex, real-world challenges using advanced technology Collaborate with colleagues to deliver AI products that have an impact in sectors like healthcare, logistics, and sustainability Impact areas Optimize hospital bed management with AI-driven tools Streamline logistics for military and public sector organizations Support sustainability projects using data-driven insights This role offers the opportunity to influence how organizations make decisions with AI and machine learning. Faculty values engineers who want to build technology that drives positive change.

We are seeking a talented and passionate Platform Engineer to join our innovative team at Faculty. As a Platform Engineer, you will play a crucial role in designing, developing, and maintaining our cutting-edge platforms that empower organizations with data-driven insights.In this position, you will collaborate closely with cross-functional teams to build scalable and efficient solutions, ensuring high availability and performance. You will leverage the latest technologies and best practices to enhance our infrastructure and contribute to the overall success of our projects.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. With over 350 global customers, we have consistently demonstrated how human-centric AI can transform organizational performance. Discover our real-world impact here.We steer clear of fleeting trends and instead focus on innovating, constructing, and deploying responsible AI that delivers tangible results. Our extensive expertise spans technical, product, and delivery aspects, serving clients across diverse sectors including government, finance, retail, energy, life sciences, and defense.As our company and reputation continue to expand rapidly, we are eager to find individuals who share our intellectual curiosity and ambition to create a meaningful legacy through technology.Join us in harnessing AI's potential to craft powerful applications that can change the world.About Our TeamAt Faculty, our Life Sciences team focuses on developing AI solutions that streamline the research and commercialization processes for groundbreaking therapies. We collaborate with leading pharmaceutical companies, academic institutions, and MedTech startups to create solutions that address pressing healthcare challenges and promote equitable health access.Your Role:As a Senior Machine Learning Engineer, you will spearhead the development and deployment of advanced AI systems for our varied clientele. Your responsibilities will include designing, building, and implementing scalable, production-ready ML software and infrastructure that adheres to stringent operational and ethical standards.This dynamic, cross-functional role requires a unique combination of technical skills, engineering leadership, and client engagement capabilities.Key Responsibilities:Lead the technical scoping and architectural decisions for impactful ML systems.Design and construct production-grade ML software, tools, and scalable infrastructure.Establish and apply best practices and standards for deploying machine learning effectively.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the pivotal technology of our age. We have partnered with over 350 global clients, enhancing their performance through innovative, human-centric AI solutions. Discover our real-world impact here.At Faculty, we prioritize sustainable innovation over fleeting trends. Our focus is on developing and deploying responsible AI solutions that truly make a difference. Our expertise spans various sectors, including government, finance, retail, energy, life sciences, and defense, providing our clients with unparalleled technical, product, and delivery proficiency.As our reputation grows, we seek individuals who are intellectually curious and eager to leave a positive mark through technology.Join us in harnessing AI's transformative potential and be a part of a company that empowers you to realize its most impactful applications.About the TeamOur Defence team is dedicated to creating and implementing human-centered AI solutions that enhance our national defense capabilities. Collaborating closely with clients, we deliver ethical and advanced AI solutions for high-stakes scenarios, ensuring the stability of global powers crucial to our freedom.Due to the sensitive nature of our work, candidates must be eligible for UK Security Clearance (SC) and are expected to work on-site with clients for 2 to 4 days a week, which may involve travel across the UK. When not engaged with clients, you will have the flexibility to work from our London office or remotely within the UK.About the RoleAs a Senior Machine Learning Engineer, you will spearhead the development and deployment of advanced AI systems for a diverse range of clients. Your responsibilities will include designing, building, and deploying scalable, production-grade machine learning software and infrastructure that adhere to stringent operational and ethical standards.This role is ambitious and cross-functional, requiring a unique combination of technical acumen, engineering leadership, and strong client-facing abilities.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. Since our inception, we have partnered with over 350 clients worldwide, helping them enhance their performance through human-centric AI solutions. Discover our impact here.We are not swayed by fleeting trends; we focus on developing and implementing responsible AI that truly makes a difference. Our expertise spans technical, product, and delivery domains, servicing clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business continues to grow rapidly, we seek intellectually curious individuals who are passionate about making a positive impact through technology.Join us in harnessing the power of AI and envisioning its most transformative applications.About Our TeamIn our Professional and Financial Services Business unit, we leverage over a decade of Applied AI experience to assist our clients in navigating an ever-evolving landscape. We create and integrate AI solutions that enhance operational efficiency, improve customer experiences, and unlock commercial opportunities in uncertain markets. Within the boundaries of highly regulated industries, we see vast potential for significant innovation and are proud to set the benchmark for combining technical excellence with secure deployment.Role OverviewAs a Senior Machine Learning Engineer, you will spearhead the development and deployment of advanced AI systems for our diverse clientele. Your responsibilities will include designing, building, and implementing scalable, production-ready ML software and infrastructure that adheres to stringent operational and ethical standards.This is a dynamic, cross-functional role that demands a mix of technical prowess, engineering leadership, and strong client engagement skills.Key Responsibilities:Overseeing technical scoping and architectural decisions for impactful ML systems.Crafting and developing production-ready ML software and infrastructure.

Why Join Faculty?Founded in 2014, Faculty believes that AI is the pivotal technology of our era. We have partnered with over 350 global clients to enhance their performance through human-centric AI. Our impact is tangible, as detailed here.We steer clear of fleeting trends. Our focus is on innovating, creating, and deploying responsible AI solutions that yield significant results. We offer clients extensive expertise across technical, product, and delivery domains, serving industries such as government, finance, retail, energy, life sciences, and defense.Our business and reputation are expanding rapidly. We seek individuals who share our intellectual curiosity and aim to build a positive legacy through technology.Join us in harnessing AI—an epoch-defining technology—where you will be empowered to envision and implement its most impactful applications.About the TeamThe process of delivering medical solutions involves complexity, cost, and risk. Faculty’s Life Sciences team is dedicated to developing AI solutions that enhance the research and commercialization of transformative therapies.We collaborate with leading pharmaceutical companies, academic research institutions, and MedTech startups to create solutions that address critical healthcare challenges, democratizing access to health for everyone.About the RoleAs a Machine Learning Engineer, you will deliver tailored, impactful AI solutions for our diverse clientele. You will play a crucial role in transitioning machine learning from theoretical frameworks to practical applications, contributing to robust software architecture and establishing best practices. Collaborating closely with clients and cross-functional teams, you will ensure the technical feasibility and timely delivery of high-quality, production-ready ML systems.Your Responsibilities:Developing and deploying production-grade ML software, tools, and infrastructure.Creating reusable, scalable solutions to expedite the delivery of ML systems.Working alongside engineers, data scientists, and commercial leaders to address significant client challenges.

Faculty partners with organizations around the world to deliver practical, responsible AI solutions. Since 2014, the company has worked on more than 350 client projects across sectors including government, finance, retail, energy, life sciences, and defense. Faculty focuses on human-centric AI and measurable outcomes. More information about Faculty’s work is available here. Defence Team The Defence team develops AI systems that support national security and global stability. Projects emphasize ethical, reliable AI for high-stakes environments. Team members collaborate closely with clients, often working on-site to make sure solutions address real-world needs. This role requires eligibility for UK Security Clearance (SC). Expect to work on client sites in the UK two to four days per week, with travel as needed. When not on-site, work can be done from the London office or remotely within the UK. Role overview The Computer Vision Engineer leads AI projects for defence clients, shaping technical direction and connecting advanced research to practical deployment. As the main technical authority, this person will design and implement computer vision systems that address critical client challenges. This position offers the chance to influence technical strategy, introduce new capabilities, and build a reputation as a thought leader within the team. It suits engineers who value autonomy and want to advance the state of the art in computer vision.

Faculty, founded in 2014, focuses on using artificial intelligence to bring about meaningful change for clients worldwide. The company’s mission centers on developing responsible, human-centric AI solutions that have a real impact across sectors such as government, finance, retail, energy, life sciences, and defense. Faculty’s team brings strong technical, product, and delivery skills, working with over 350 global clients. More about their impact can be found here. Faculty values innovation that lasts, aiming to deliver AI that makes a genuine difference rather than following short-lived trends. The organization looks for people who share a curiosity for technology and a desire to leave a positive legacy. Division focus The Energy, Transition, and Environment team leads Faculty’s work in the clean energy sector. This division partners with major energy providers, GreenTech startups, and national infrastructure bodies to accelerate the move toward net-zero emissions and improve efficiency for utility companies. The team’s projects aim to deliver measurable, sustainable results through responsible AI use. Role overview The Lead Machine Learning Engineer will set technical direction and ensure the successful delivery of complex AI projects. This role involves shaping AI strategies, overseeing client implementations, and making key architectural decisions. The position combines deep technical expertise with leadership, fostering team growth and building reusable solutions across the company. What you will do Guide technical strategy for AI initiatives within the Energy, Transition, and Environment division Oversee project execution from initial strategy through client delivery Make architectural decisions to ensure reliability and scalability Mentor team members and support their development Contribute to reusable solutions that benefit the wider organization

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. We have partnered with over 350 global clients to harness the power of human-centric AI, driving significant performance improvements. Discover our real-world impacts here.We prioritize innovation over trends, focusing on creating and implementing responsible AI solutions that effect real change. Our extensive expertise spans technical, product, and delivery aspects, serving clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business rapidly expands, we seek individuals who share our intellectual curiosity and dedication to leveraging technology for a positive impact.Join us to explore the transformative applications of AI and influence its future.About Our TeamWithin our Professional and Financial Services unit, we apply over a decade of experience in Applied AI to assist clients in navigating an evolving landscape.We design and implement AI solutions that enhance operational efficiency, improve customer experience, and unlock commercial opportunities in uncertain markets. Despite operating within a highly regulated environment, we are committed to driving meaningful innovation, setting benchmarks for technical excellence and safe deployment.About the RoleAs a Machine Learning Engineer, you will play a crucial role in delivering tailored, impactful AI solutions for our diverse clientele in Financial Services.Your expertise will bridge the gap between theoretical machine learning and practical application, contributing to scalable software architecture and establishing best practices. Collaborating with clients and cross-functional teams, you will ensure technical feasibility and the timely delivery of high-quality, production-ready ML systems.Key Responsibilities:Developing and deploying production-grade machine learning software, tools, and infrastructure.Creating reusable and scalable solutions that expedite the deployment of AI applications.

Why Join Faculty?Founded in 2014, Faculty is at the forefront of artificial intelligence, committed to harnessing its transformative power for businesses across the globe. With a portfolio of over 350 clients, we pride ourselves on delivering human-centric AI solutions that drive substantial performance improvements. To explore our real-world impact, click here.We don’t follow trends; we create them. Our focus is on innovating, developing, and deploying responsible AI that truly makes a difference. Our expertise spans technical, product, and delivery domains, serving clients in government, finance, retail, energy, life sciences, and defence sectors.As our business and reputation continue to expand rapidly, we seek individuals who share our intellectual curiosity and a commitment to leveraging technology for positive change.AI is a transformative force in today’s world—join us to envision and implement its most powerful applications.About Our TeamThe journey of bringing medicine to patients is intricate and fraught with challenges. Our Life Sciences team is dedicated to developing AI solutions that enhance the research and commercialization of groundbreaking therapies.We collaborate with leading pharmaceutical companies, academic research institutions, and innovative MedTech startups to design and implement solutions that tackle critical healthcare issues and democratize access to health.About the RoleAs a Customer Director, you will be pivotal in growing our most significant accounts. You will serve as a strategic partner to our Life Sciences clients, empowering them to enhance their operations and engagement with end-users through AI-driven decision-making. Leading a high-performing team of delivery and engagement specialists, you will manage complex commercial negotiations, ensure the successful rollout of state-of-the-art Applied AI solutions, and cultivate essential relationships that establish Faculty as a global leader in AI-driven transformation.

Join Faculty as a Senior Manager and lead innovative projects that drive impactful results. In this pivotal role, you will be responsible for overseeing a team of talented professionals, strategically guiding their efforts to ensure project success and client satisfaction. Your leadership will be crucial in fostering a collaborative environment, promoting professional development, and implementing best practices across all initiatives.

Join Faculty as an Associate, where you will play a pivotal role in shaping innovative solutions within our dynamic team. As an Associate, you will engage in a variety of projects that challenge your analytical and strategic thinking skills. You will have the opportunity to collaborate with cross-functional teams and contribute to impactful decision-making processes.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. We have partnered with over 350 clients globally to revolutionize their operations through human-centered AI. Discover our tangible impacts here.We prioritize innovation over trends, developing and implementing responsible AI solutions that drive significant results. Our expertise spans technical, product, and delivery domains, serving clients in government, finance, retail, energy, life sciences, and defense sectors.As our company and reputation rapidly expand, we seek individuals who possess intellectual curiosity and aim to forge a positive technological legacy.Join us and explore the transformative potential of AI, empowered to realize its most impactful applications.About Our TeamOur Retail and Consumer specialists are committed to assisting clients in an industry undergoing rapid technological advancements and shifting consumer expectations. With over a decade of experience in Applied AI, we merge exceptional technical skills with delivery expertise, empowering businesses to adapt and excel.About the RoleIn the role of Lead Data Scientist, you will take on a crucial, entrepreneurial position as a technical expert who excels in navigating complexity and driving commercial impact. You will set the technical vision and guarantee the effective, scalable delivery of our most challenging, high-stakes projects. This role combines profound machine learning knowledge with strategic oversight, allowing you to define project roadmaps, manage technical risks, and architect dependable solutions. Your mission will be to spur innovation, mentor cross-functional teams, and actively influence our technical standards and long-term client relationships.Your Responsibilities:Establishing the technical direction for intricate, business-critical projects while adeptly managing trade-offs between speed, innovation, and reliability.Designing and executing robust, production-ready technical solutions.

Why Choose Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. With over 350 global clients, we have successfully transformed performance through human-centric AI. Discover our real-world impact here.At Faculty, we prioritize innovation over fleeting trends. Our focus is on developing and implementing responsible AI solutions that deliver real results. We bring an unmatched level of technical, product, and delivery expertise to clients across diverse sectors, including government, finance, retail, energy, life sciences, and defense.As our business and reputation grow, we seek individuals who share our intellectual curiosity and passion for leveraging technology to create a positive legacy.Join us in exploring the transformative potential of AI and empowering its most significant applications.About Our TeamOur Government and Public Services division is dedicated to harnessing AI to benefit citizens and enhance public services. Whether informing strategic government decisions, optimizing the NHS, or safeguarding children from harmful online content, we are proud to spearhead some of the most impactful initiatives in the sector.About the RoleAs a Learning Engineer at Faculty, you will play a pivotal role in reshaping education through AI. You will craft the learning logic behind our innovative educational products, establishing goals, feedback systems, scaffolding, and adaptivity to significantly enhance learning outcomes.Operating at the crossroads of learning science and product design, you will integrate academic research with practical application, ensuring that our tools are not only engaging but also demonstrably effective at scale.Your Responsibilities:Define clear learning objectives and skill models, breaking them down into scaffolded tasks, feedback mechanisms, and adaptive logic for the product team.Identify key metrics for measurement (e.g., mastery, engagement, retention) and collaborate with data teams to ensure our products accurately track essential learning behaviors.