Learning Engineer at Faculty | London

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 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.

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 Artificial Intelligence (AI) is the defining technology of our era. Since our inception, we have partnered with over 350 global clients to elevate their performance through human-centric AI solutions. Discover our tangible impact here.We prioritize innovation over fleeting trends. Our commitment is to design, build, and deploy responsible AI that delivers significant results. Our team possesses unmatched technical, product, and delivery expertise, catering to clients across various sectors including government, finance, retail, energy, life sciences, and defence.As our business and reputation expand rapidly, we are eager to find individuals who share our intellectual curiosity and passion for leveraging technology to create a positive legacy.Join us and be part of a revolution in AI, where you will be empowered to envision and realize its most impactful applications.About Our TeamOur Defence team specializes in developing and integrating human-centered AI solutions that provide our country with a competitive advantage in the defence arena. We work closely with our clients to implement ethical, dependable, and state-of-the-art AI in high-stakes environments, helping to maintain the global balance of power critical to our freedom.Due to the sensitive nature of our Defence projects, candidates must be eligible for UK Security Clearance (SC) and be comfortable working on-site 2 to 4 days per week, which may involve travel to various locations across the UK.When not engaged with clients, you’ll enjoy the flexibility of working either from our London office or remotely within the UK.#LI-PRIORole OverviewWe invite you to join our team as a Machine Learning Engineer, where you will create bespoke, 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 scalable software architecture and establishing best practices. Collaborating with clients and cross-functional teams, you will ensure the technical feasibility and timely delivery of high-quality, production-ready ML systems.Key Responsibilities:Developing and deploying production-grade ML software, tools, and infrastructure.Collaborating with cross-functional teams to ensure project success and quality.Maintaining best practices in software development and machine learning methodologies.

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 was established with the belief that artificial intelligence (AI) would be the defining technology of our era. Since then, we have partnered with over 350 global clients to enhance their operations through human-centric AI solutions. Discover our real-world impact here.We focus on genuine innovation rather than fleeting trends. Our team excels in creating and implementing responsible AI that delivers substantial results. We offer unmatched expertise in technical, product, and delivery aspects to a diverse clientele, including sectors such as government, finance, retail, energy, life sciences, and defense.As our business and reputation continue to expand rapidly, we seek individuals who share our passion for intellectual exploration and our commitment to creating a lasting positive legacy through technology.Join us at the forefront of AI technology, where you will have the autonomy to conceptualize its most impactful applications and bring them to life.About Our TeamOur Retail and Consumer team is committed to assisting clients in an industry that is being revolutionized by new technologies and shifting consumer expectations. With over a decade of experience in Applied AI, we blend exceptional technical and delivery skills to enable businesses to adapt and flourish.The RoleAs a Lead Machine Learning Engineer, you will take charge of the technical direction and execution of intricate, cutting-edge AI projects. You will serve as a technical authority, applying your expertise across diverse projects from AI strategy formulation to client-side implementations, while ensuring robust architectural decisions.This role requires a mix of advanced technical skills and leadership capabilities, emphasizing innovation, team development, and the creation of reusable solutions throughout the organization. If you are prepared to manage high-stakes projects and deliver practical, innovative results, this is your opportunity to influence our future.Your ResponsibilitiesEstablishing the technical trajectory for complex ML projects, managing trade-offs, and directing team priorities.Designing, implementing, and sustaining reliable, scalable ML/software systems while justifying crucial architectural choices.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. Over the years, we have partnered with more than 350 global clients, transforming their operations using human-centric AI solutions. Discover our impactful projects here.We prioritize innovation over trends, developing responsible AI that genuinely drives results. Our team offers unmatched expertise in technical, product, and delivery aspects, serving clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business expands rapidly, we seek individuals who share our intellectual curiosity and aim to create a meaningful legacy through technology.Join us in harnessing AI's potential and making a significant difference in its applications.About Our TeamOur Defence team is dedicated to developing and implementing human-centered AI solutions that provide our nation with a strategic advantage in defense. We collaborate closely with clients to deliver ethical and cutting-edge AI for high-stakes scenarios, ensuring the balance of global power critical to our freedoms.Due to the sensitive nature of our work with Defence clients, you will need to be eligible for UK Security Clearance (SC) and should be prepared to work on-site with these clients 2 to 4 days a week, which may involve travel across the UK.When not on client sites, you will enjoy the flexibility of working from our London office or remotely from any location within the UK.Role OverviewAs a Senior Machine Learning Engineer, you will spearhead the development and deployment of innovative AI systems for a diverse client base. Your responsibilities will include designing, building, and deploying scalable, production-quality ML software and infrastructure that adheres to stringent operational and ethical standards.This position requires a proactive, cross-functional approach, blending technical skills, engineering leadership, and strong client-facing abilities.

We are seeking a highly skilled and innovative Principal Machine Learning Engineer to join our dynamic team at Faculty. In this role, you will lead the design and development of advanced machine learning models and solutions to address complex challenges. You will collaborate with cross-functional teams, leveraging your expertise to drive impactful projects that shape the future of our technology.

We are seeking a highly skilled Senior Machine Learning Engineer to join our innovative team at Faculty. In this role, you will be responsible for developing and implementing cutting-edge machine learning models and solutions that drive our projects forward. You will collaborate closely with data scientists and analysts to transform complex datasets into actionable insights and scalable solutions.Your expertise will play a crucial role in enhancing our products and services, and you will have the opportunity to work on exciting projects that challenge the status quo. If you are passionate about machine learning and eager to make a significant impact, we want to hear from you!

Join our dynamic team as a Lead Machine Learning Engineer at Faculty, where you will spearhead innovative machine learning projects that drive impactful solutions. You will collaborate closely with cross-functional teams to design, develop, and deploy cutting-edge machine learning models that enhance decision-making processes. Your expertise will guide our data-driven initiatives, ensuring we remain at the forefront of technological advancement.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is a transformative technology of our era. We have partnered with over 350 global clients to enhance their performance through human-centric AI solutions. Discover our real-world impact here.At Faculty, we prioritize innovation over trends. Our focus is on developing and implementing responsible AI that delivers measurable results. We possess exceptional technical, product, and delivery expertise, catering to a diverse clientele across sectors including government, finance, retail, energy, life sciences, and defense.As our reputation grows, we seek individuals who share our intellectual curiosity and ambition to leave a positive impact through technology.Join us in shaping the future of AI—where your ideas and efforts will create significant advancements.About Our TeamThe Defence team at Faculty is dedicated to creating and integrating human-centered AI solutions that provide our nation with a competitive advantage in defense. We work closely with clients to deliver ethical, dependable, and innovative AI solutions for high-stakes scenarios, helping to maintain global stability crucial for our security.Given the nature of our work, candidates must be eligible for UK Security Clearance (SC) and should be prepared to work on-site with clients up to three days a week, which may involve travel across the UK. When not engaged on client sites, you will have the flexibility to work from our London office or remotely anywhere within the UK.About the RoleWe invite you to join us as a Machine Learning Engineer, where you will play a pivotal role in delivering tailored, impactful AI solutions for our varied clientele.Your contributions will be vital in transitioning machine learning from theoretical frameworks to practical applications. This includes participating in scalable software architecture development and establishing best practices. Collaborating with clients and cross-functional teams, you will ensure the technical viability and timely delivery of high-quality, production-grade ML systems.

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.

Join our dynamic team at Faculty as a Lead Machine Learning Engineer. In this pivotal role, you will spearhead innovative machine learning projects while mentoring a talented team of engineers. You will be responsible for designing cutting-edge algorithms and developing scalable models to solve complex business challenges.The ideal candidate will possess a deep understanding of machine learning frameworks, proficiency in programming languages such as Python or R, and a passion for pushing the boundaries of technology. You will collaborate closely with cross-functional teams to ensure the successful implementation of machine learning solutions.

Why Join Faculty?Founded in 2014, Faculty is at the forefront of AI innovation, believing it to be the pivotal technology of our era. With a diverse portfolio of over 350 global clients, we are committed to enhancing performance through human-centric AI solutions. To learn more about our impactful work, click here.We prioritize innovation over fleeting trends, focusing on the development and deployment of responsible AI that drives tangible results. Our expertise in technical, product, and delivery aspects empowers clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business and reputation expand rapidly, we actively seek individuals who share our intellectual curiosity and ambition to leave a positive technological legacy.AI is a transformative force; join us to explore its most powerful applications and make them a reality.About Our TeamOur Energy, Transition, and Environment unit is leading the way in advancing the clean energy revolution. We aim to expedite the shift toward net-zero emissions and enhance efficiencies for the next generation of utility companies.We believe that the responsible and intelligent utilization of AI is essential for achieving our mission. Collaborating with a variety of clients—from major energy operators to GreenTech startups and national infrastructure providers—we create solutions that yield measurable impact, steering us toward a smarter, cleaner, and more sustainable future.Role OverviewAs a Lead Software Engineer focused on Machine Learning, you will guide the technical direction and execution of sophisticated AI projects. Your role will encompass serving as a technical authority, applying your expertise across numerous projects, from client-side deployments to strategic AI advisory, ensuring that architectural choices are robust and dependable.This position requires a blend of advanced technical skills and effective leadership, emphasizing innovation, nurturing team development, and crafting reusable solutions throughout the organization. If you are prepared to manage complex projects and deliver practical, innovative results, this is your opportunity to influence our future.Key Responsibilities:Establishing the technical direction and overseeing the development of AI projects.Leading a team of engineers, providing mentorship and fostering a collaborative work environment.Ensuring best practices in software development and design principles are adhered to.Engaging with clients to understand their needs and translating them into technical solutions.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence (AI) will shape the future of technology. With over 350 global clients, we have consistently delivered transformative AI solutions that engage human-centric approaches. Explore our impact here.We prioritize innovation over trends, focusing on responsible AI that drives significant results. Our team combines unmatched technical, product, and delivery expertise, serving clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business and reputation flourish, we seek individuals who share our passion for intellectual exploration and a commitment to leaving a lasting technological legacy.Join us in harnessing AI’s potential to create powerful solutions that will define the future.About Our TeamIn our Professional and Financial Services division, we leverage over a decade of applied AI experience to guide our clients through a rapidly evolving landscape.We design and implement AI solutions that enhance operational efficiency, improve customer experiences, and unlock commercial opportunities in uncertain markets. Operating within a highly regulated environment, we embrace the potential for meaningful innovation while setting the benchmark for technical excellence and secure deployment.About the RoleAs a Principal Data Scientist at Faculty, you will be a technical authority and domain expert, responsible for leading the delivery of intricate, high-impact projects for our key clients. You will establish the technical vision for the data science team while mentoring and developing our data scientists to ensure they remain at the forefront of the industry.Your ResponsibilitiesActing as a technical expert on machine learning, generative AI, and other advanced data science methodologies to deliver innovative solutions.Driving the execution of high-stakes projects while ensuring the highest standards of quality and technical excellence.

Join Faculty as a Senior Data Scientist and play a pivotal role in driving data-driven decision-making across diverse projects. You will leverage your expertise in machine learning, statistical analysis, and data interpretation to deliver innovative solutions that support our clients’ strategic goals.Your responsibilities will include developing predictive models, analyzing complex datasets, and collaborating closely with cross-functional teams to implement data solutions that enhance performance and efficiency.

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.