Lead Machine Learning Engineer

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 d…

ClearBank provides banking infrastructure that supports a wide range of clients, including fintech firms, crypto platforms, traditional banks, and credit unions. Through ClearBank’s API, organizations can strengthen and modernize their banking systems. The company emphasizes a team-first culture shaped by collaboration, fairness, and autonomy. Team members have opportunities to contribute meaningfully and influence how things are done. Role overview This Platform Engineer position sits within Team Serval, part of ClearBank’s Infrastructure Cluster. Reporting to an Engineering Manager, the role centers on designing, implementing, and maintaining the network infrastructure that underpins ClearBank’s services as the business continues to grow. Daily responsibilities include: Designing and maintaining network infrastructure Applying Infrastructure as Code practices to improve deployment processes Supporting software delivery using Azure DevOps Collaborating closely with Technical Product Owners and Engineering Managers to enhance the platform ClearBank has been recognized among the UK’s fastest-growing tech companies by Deloitte Fast 50. Requirements Experience working with Infrastructure as Code Solid networking expertise Practical skills in Azure DevOps A proactive, collaborative approach to solving problems Location This role is based in ClearBank’s London office and follows a hybrid work pattern.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is a pivotal technology shaping our future. We have partnered with over 350 global clients to enhance their performance through human-centric AI solutions. Discover our real-world impact here.We focus on innovation without getting caught up in trends. Our commitment is to develop and implement responsible AI that delivers tangible results, leveraging our exceptional technical, product, and delivery expertise across various sectors, including government, finance, retail, energy, life sciences, and defence.As our reputation grows, we seek individuals who are intellectually curious and eager to create a positive technological legacy.Join us to explore the most powerful applications of AI in a role that empowers you to bring your vision to life.About Our TeamOur Government and Public Services division is dedicated to harnessing AI for the benefit of citizens and the greater good. We engage in impactful projects that inform government strategies, enhance NHS services, and protect vulnerable individuals from online threats, demonstrating the transformative potential of AI at all government levels.About the RoleAs a Lead Learning Engineer at Faculty, you will ensure our AI-driven educational solutions are rooted in learning science, are measurably effective, and set a benchmark for educational innovation. You will create the vision for learning design and evaluation, lead the development of our Learning Engineering Playbook, and confirm that our products significantly enhance learning outcomes.Collaborating with senior leadership and cross-functional teams, you will design scalable, data-rich learning systems and mentor others in integrating best practices from learning science into our product offerings.

Join our dynamic team at Faculty as a Lead Software Engineer, where you will spearhead innovative projects and mentor a talented group of developers. You will play a vital role in shaping our software solutions while collaborating with cross-functional teams to deliver high-quality products. Your leadership will help drive our mission to revolutionize the tech landscape.

Why Join Faculty?Founded in 2014, Faculty is at the forefront of AI innovation, believing it to be the pivotal technology of our era. We have partnered with over 350 global clients to enhance their operations through human-centric AI solutions. Discover our impactful transformations here.At Faculty, we focus on responsible AI that drives real results, distancing ourselves from fleeting trends. Our clients, which include leaders in government, finance, retail, energy, life sciences, and defense, benefit from our unmatched technical, product, and delivery expertise.We are experiencing rapid growth and are in pursuit of individuals who share our intellectual curiosity and commitment to leveraging technology for good.Embrace the opportunity to work with AI, a transformative technology, in an environment where your vision for its powerful applications can become a reality.About the PositionAs the Director of AI Engineering, you will be our leading technical expert on AI solutions for our expanding Financial Services Business unit. This crucial role demands a blend of deep knowledge in AI and machine learning with strategic and commercial leadership. You will craft a unique technical vision for clients in banking, insurance, and asset management while mentoring our elite team of data scientists and engineers.

Join Attio in Revolutionizing CRM for the AI Era!At Attio, we are on a transformative journey to create the first AI-native CRM, tailored specifically for the most ambitious go-to-market teams. With our recent $52M Series B funding led by GV (Google Ventures) and supported by top investors like Redpoint, Balderton, Point Nine, and 01A, we are positioned to set a new industry standard. Our passionate team thrives on tackling complex technical challenges, enhancing user experiences, and driving innovation.About the RoleWe invite highly skilled Platform Product Engineers to join our Security, Infrastructure, and Performance team. This pivotal role merges strategic engineering with hands-on operational excellence. The successful candidates will architect, operate, and continuously improve our internal technology platform, treating it as a product with development teams as its primary customers.In this role, you will embody and execute DevOps principles, focusing on:Automation: Systematically eliminating manual processes from the software development lifecycle (SDLC) through robust tooling, CI/CD pipelines, and infrastructure-as-code (IaC).Collaboration: Cultivating a strong partnership with product development teams to gather requirements and deliver solutions that enhance productivity and reduce time-to-market.Continuous Improvement: Promoting a culture of iterative enhancements for platform reliability, cost-effectiveness, and developer experience.This role is driven by a solid Site Reliability Engineering (SRE) mindset. You will play a crucial role in defining and maintaining Service Level Objectives (SLOs) and Service Level Indicators (SLIs), implementing effective monitoring and alerting strategies, and leading incident response processes.Your ResponsibilitiesYour primary responsibility will be to implement, maintain, and enhance the foundational platform infrastructure that supports all engineering services. This requires a relentless focus on...

Join Faculty: Pioneering AI InnovationFounded in 2014, Faculty believes that artificial intelligence (AI) is the transformative technology of our era. We have partnered with over 350 global customers, driving performance improvements through human-centric AI solutions. Discover our impactful projects here.At Faculty, we prioritize innovation over trends. Our mission is to develop and implement responsible AI that truly makes a difference. Our team brings unmatched expertise in technology, product development, and delivery to various sectors, including government, finance, retail, energy, life sciences, and defense.As our reputation grows, we seek individuals who share our curiosity and commitment to creating a lasting positive impact through technology.AI is a game-changing technology. Join us to explore its most powerful applications and bring them to life.Role OverviewAs a Lead Software Engineer within our Customer Development team, you will not only develop software but also spearhead the deployment, customization, and scaling of our innovative Frontier platform for enterprise clients.As we broaden the reach of our platform, you'll have the distinct opportunity to create a scalable AI-focused product while remaining attuned to real-time customer feedback and setting the standard for technical excellence.This role immerses you in the deployment of Frontier in complex environments, addressing real-world challenges with cutting-edge technology. Your work will optimize multinational supply chain logistics, expedite clinical trial timelines, and support sustainability initiatives, enabling organizations to make informed decisions through AI-enhanced insights.Embark on this thrilling journey of transforming decision-making with AI and machine learning, revolutionizing business success through Decision Intelligence.

Role overview Faculty seeks a Lead Computer Vision Engineer to join its London office. This position leads a group of engineers and partners closely with data scientists to deliver advanced computer vision systems. The team supports a range of projects across different industries, with a focus on practical uses of artificial intelligence in real-world settings. What you will do Guide the design and implementation of algorithms for image and video processing tasks Direct and mentor engineers tackling computer vision problems Work with data scientists to develop solutions that address industry needs Location This position is based in London.

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.

Location: London (E1) Hybrid working model: Work from the office two days each week and remotely for three, with flexibility for more office time if preferred. Role overview Goodlord is expanding and hiring a Senior Platform Engineer to lead the Azure-native core of a dual-cloud platform (Azure and AWS). This position blends infrastructure, security, and developer experience. The main focus is to keep APIs and serverless systems reliable, while guiding the shift toward a Kubernetes-native setup. What you will do Manage Azure workloads, including Function Apps, Cosmos DB, and Event Grid, to maintain reliability, scalability, and security in production. Design and implement Infrastructure as Code with Terraform, ensuring consistent environments across development, staging, and production. Lead the containerization approach, building and deploying Kubernetes workloads in managed cloud environments such as AKS and EKS. Enhance logging and monitoring using tools like Datadog and Azure Monitor, support ISO 27001 compliance, and strengthen cloud security for identity and networking. Explore AI-driven tools (such as Claude Code) to improve platform operations and developer productivity. Mentor engineers and help them make the most of the platform. Requirements Extensive experience with Azure and building cloud-native workloads, including APIs, serverless, and event-driven systems. Proven use of Infrastructure as Code tools like Terraform in production environments. Hands-on experience with Docker and Kubernetes on managed cloud platforms. Strong understanding of cloud networking, security, and monitoring best practices. Effective scripting skills, experience supporting CI/CD pipelines, and an interest in mentoring others. Motivation to coach and support team development. Why Goodlord? Two in five people in the UK rent their homes. Goodlord is working to set the standard for rental platforms and is committed to improving the renting experience for everyone involved.

Why Join Faculty?Founded in 2014, Faculty is at the forefront of AI innovation, dedicated to transforming performance through human-centric AI solutions. With a portfolio of over 350 global clients, we pride ourselves on delivering impactful, responsible AI technologies across various sectors including government, finance, retail, energy, life sciences, and defense. Discover our real-world impact here.We prioritize innovation over hype, focusing on responsible AI that makes a measurable difference. Our team's extensive expertise in technology, product development, and project delivery sets us apart as leaders in practical AI.As our business grows rapidly, we seek individuals who share our intellectual curiosity and ambition to create a positive legacy through technology.Join us to explore the transformative power of AI and be part of a team that empowers you to realize its most potent applications.About the TeamOur Defence team specializes in developing human-centered AI solutions that enhance national security and maintain our global competitive edge. Collaborating closely with clients, we implement ethical and cutting-edge AI solutions in high-stakes scenarios, ensuring the balance of global powers that safeguards our freedom.Due to the sensitive nature of our work, candidates must be eligible for UK Security Clearance (SC) and be prepared to work on-site with clients 2 to 4 days a week, which may involve travel throughout the UK. When not on client sites, you will have the flexibility to work from our London office or remotely within the UK.About the RoleAs a Senior Data Scientist, you will lead pivotal AI projects and influence the technical direction of tailored solutions. This role blends hands-on technical expertise with essential team leadership responsibilities.You will define data science methodologies, design robust software architectures, mentor junior team members, and ensure rigorous project delivery while fostering strong client relationships that reinforce our reputation in measurable AI.

About hyperexponential (hx)At hyperexponential, we are pioneering an AI-driven platform that empowers crucial decision-making in a £7 trillion industry. Our technology influences life-altering outcomes, from the successful launch of rockets to the deployment of autonomous vehicles and community recovery following major disasters.The insurance sector has historically relied on outdated tools for making multi-billion-pound decisions. We are transforming this landscape by integrating data, AI, and human expertise into a cohesive platform that accelerates the path from submission to decision. Our goal is to enable insurers to operate with increased speed, intelligence, and confidence in risk management.With backing from a16z, Highland Europe, and Battery Ventures, we are expanding our global reach, already serving nearly 50 of the world’s largest insurers, maintaining a zero churn rate, and facilitating billions in premiums through hx.What began as a singular product has evolved into a comprehensive, multi-product platform that supports every stage of pricing and underwriting. Our commitment to AI is evident as we develop innovative tools, such as the world's first domain-specific AI peer programmer for insurance, and redefine workflows in the industry.At hx, the value of our work is not bound by titles or tenure; it is determined by the challenges we embrace and the discipline we exhibit. Here, you will collaborate with inspiring peers, tackling significant challenges and delivering impactful results in a company designed for resilience.If this resonates with you, we invite you to join us in shaping the future.About the Platform TeamThe Platform team at hx establishes the critical foundation that enables engineering teams to deploy secure and scalable applications swiftly. As we pivot towards an AI-first platform, we focus on self-service infrastructure, intelligent automation, and reusable components, all aimed at enhancing developer productivity and operational excellence. This is not about maintaining the status quo; we are reimagining modern software delivery.As a Senior Platform Engineer, you will play a pivotal role in this transformation. You will create platform capabilities that prioritize security, reliability, and best practices as standard, while embedding AI into our processes to minimize manual efforts and expedite cycles. Collaboration with engineering, security, and product teams will be essential as you gather insights, encourage adoption, and elevate our infrastructure standards.This role requires a sense of ownership that extends beyond mere tasks; you will deliver significant capabilities from start to finish, assess their impact, and continuously push the envelope of what exceptional infrastructure entails.

About Caxton Associates:Founded in 1983, Caxton Associates is a premier global trading and investment firm, with a presence in key financial hubs including New York, London, Bengaluru, Monaco, Singapore, and Dubai. Our firm is dedicated to managing client and proprietary capital, offering a diverse range of products specifically tailored to meet the unique needs of our investors. By employing a multi-portfolio manager framework, we excel in discretionary global macro investing, leveraging extensive expertise across various asset classes and markets.About the Role:We are on the lookout for a skilled Database Engineer to enhance our London-based technology team. This hands-on position is pivotal in the design, development, and optimization of the company's core data platforms. You will be instrumental in shaping and scaling our data architecture, directly influencing trading and investment decisions. Candidates must possess strong technical skills, a keen eye for data quality, and the ability to thrive in a dynamic, high-stakes environment.

Corgi builds AI-powered insurance products for tech startups. Backed by $108 million in funding and operating as a licensed carrier, Corgi is expanding across the UK and EU. The team relies on Django for the platform, integrates Stripe for payments, and applies AI to underwriting. The company focuses on modernizing insurance, growing quickly, and making a direct impact with its products. Role overview This Platform Engineer position is based in London and suits those who like to build and launch products from the ground up. Corgi values engineers who turn ideas into live features without waiting for step-by-step instructions. Experience creating personal projects, side builds, or products with real users stands out here. What you will do Independently create and deploy new products and features Work across the full stack, adapting to new technical challenges Move quickly from concept to release, sometimes in hours or days Contribute to a team focused on frequent shipping and iteration What we look for High motivation and energy, comfortable with a startup pace Track record of launching and maintaining projects solo or in small teams Ability to deliver solutions rapidly, not just over long sprints Comfort learning new technologies as needed Clear opinions but open to new ideas Results-driven, humble, and focused on creating impact Work culture Decisions prioritize speed and iteration over waiting for perfection New products and processes launch frequently, not just on a quarterly schedule Transparency in decision-making is standard Consistent intensity, not just during product launches Healthy internal competition encourages strong performance This is a hands-on role for those who want to build and make things happen. What doesn’t fit here Office politics, avoiding responsibility, or spreading gossip Taking feedback personally instead of using it to improve Adding complexity when simpler solutions work Missing deadlines after making commitments How to apply Share links to your GitHub, personal site, or live projects No resume required Email your application to: sergio@corgi.com If you cannot show evidence of your work, this role may not be the right fit Location and compensation Based in London; on-site or hybrid arrangements are possible Salary range: £75,000 to £140,000 plus equity

About FreshaFresha is the premier marketplace platform in the beauty and wellness sector, trusted by millions of consumers and businesses around the globe. With over 130,000 businesses and 450,000 stylists using our platform, we have successfully processed over 1 billion appointments to date.Headquartered in London, United Kingdom, Fresha operates from 15 offices across North America, EMEA, and APAC.Our platform enables consumers to discover, book, and pay for beauty and wellness appointments with local businesses. In turn, beauty and wellness professionals utilize our comprehensive platform to manage their operations seamlessly through innovative business software and financial technology solutions.Fresha’s ecosystem equips merchants with all essential tools for efficient business management, including appointment bookings, point-of-sale systems, customer record management, marketing automation, loyalty programs, beauty product inventory, and team management.Our consumer marketplace enhances revenue potential for partner businesses by leveraging online bookings and automated marketing through mobile applications and advanced integrations with leading tech brands like Instagram, Facebook, and Google.Role OverviewAs Fresha embarks on its next phase of global expansion, the Platform team plays a crucial role in ensuring that this growth is swift, secure, and sustainable.In your capacity as a Senior Platform Engineer, you will hold complete responsibility for the design, deployment, and operation of our platform and services. Your primary objective is to eliminate obstacles for engineers, minimize operational risks, and ensure that the platform effectively scales in alignment with the business's growth.Your mission is to provide engineers with the appropriate tools, methodologies, and infrastructure necessary for them to deliver their work efficiently, safely, and confidently.We place a strong emphasis on the impact of our work on customers, even when the tasks are internal; our platform improvements are aimed at enhancing the overall customer experience.To cultivate a collaborative work environment that thrives on in-person interactions and teamwork, all employees at Fresha are required to work from our dog-friendly office four days a week, with the flexibility to work remotely every Wednesday. The office is located at: The Bower, The Tower, 207 Old St, London EC1V 9NR.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. We have collaborated with over 350 global clients to enhance their operations through human-centric AI. Discover our significant impact here.We prioritize genuine innovation over fleeting trends, developing and implementing responsible AI solutions that truly make a difference. Our extensive technical, product, and delivery expertise supports clients across various sectors, including government, finance, retail, energy, life sciences, and defense.As our business and reputation grow rapidly, we constantly seek individuals who share our passion for intellectual exploration and aim to leave a positive impact through technology.Join us in harnessing AI's potential to create transformative solutions that shape the future.About Our TeamThe process of delivering medicine to patients is intricate, costly, and fraught with challenges. Faculty's 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 MedTech startups to create and implement solutions that tackle pressing healthcare challenges and promote equitable health access.Role OverviewWe are seeking a Cloud Engineer to establish the foundational cloud infrastructure for applied artificial intelligence for our clients. In this role, you will design, build, and deploy secure, scalable cloud environments that support advanced data processing and machine learning workflows. Collaborating with a diverse team, you will tackle complex problems and empower our data scientists and ML engineers to efficiently implement their projects, influencing the future of AI applications.

Role Overview Kaluza is hiring a Platform Engineer to join the Platform Engineering team in London, Edinburgh, or Bristol. Hybrid work options are available. This role reports to the Engineering Manager. The position is open to candidates with the right to work in the UK. Currently, Kaluza cannot offer visa sponsorship for this role. For future opportunities with sponsorship, please refer to the Kaluza careers site. About Kaluza Kaluza develops an Energy Intelligence Platform that helps energy companies address modern challenges and accelerate the shift to a sustainable, electrified future. By combining data, AI, and real-time decision-making, Kaluza supports partners in making clean energy reliable and affordable. The company works with major names like OVO, AGL, ENGIE, Volvo, and Volkswagen, and operates teams across Europe, North America, Asia, and Australia, including a joint venture with Mitsubishi Corporation in Japan. What You Will Do Platform Development: Design and build a scalable, reliable platform that makes software development, deployment, and operations easier for engineering teams. Automation and Tooling: Develop tools that simplify complex platform tasks, aiming to improve developer experience and efficiency. Infrastructure as Code: Use tools like Terraform, Helm, and Crossplane to automate cloud infrastructure, promoting GitOps practices. Monitoring and Observability: Work with the Site Reliability Engineering team to implement strong monitoring and logging systems. Security and Reliability: Apply security best practices to ensure the platform remains secure and dependable. Compensation Salary: £41,600 - £60,000 Location London, England, United Kingdom Edinburgh, Scotland, United Kingdom Bristol, England, United Kingdom Hybrid work arrangements are available.

Corgi is an AI-powered insurance provider built for tech startups. Backed by $108M in funding and full regulatory approval as a licensed carrier, Corgi blends Django, Stripe, and AI-driven underwriting to create a modern insurance experience. The company is expanding into the UK and EU, with a growing team in London. Role overview The Platform Engineer will work from the London office, taking products from concept to live launch. This role calls for someone who prefers building over waiting for detailed roadmaps and thrives in rapid development cycles. Independence and initiative matter here. Candidates who have personal projects or have shipped products used by real people will stand out. What we value Drive and energy to solve startup challenges directly Track record of delivering working projects quickly and on your own Comfort with rapid iteration and shipping in hours or days Broad technical skills and a willingness to learn new things Confidence in your ideas, balanced with openness to feedback Focus on results and impact over titles or hierarchy How we work Decisions happen quickly; progress is valued over perfection Products and improvements ship regularly, not just once a quarter Iteration happens after launch, rather than waiting for long reviews High energy during launches, with steady momentum between projects Transparency and open decision-making shape the culture Healthy internal competition, with top performers setting the pace This is a hands-on role for people who want to see real impact from their work. Behaviors that don’t fit Playing politics, avoiding responsibility, or spreading rumors Taking feedback personally instead of using it to improve Adding unnecessary complexity instead of simplifying Missing deadlines or not delivering on commitments How to apply Send links to your GitHub, personal site, or shipped projects; evidence of delivered work is required CVs are not accepted Email your application to: sergio@corgi.com If you can’t show shipped work, this role is not the right fit Location and compensation Based in London, with on-site or hybrid work options Salary: £75,000–£140,000, plus equity The wide salary range reflects a focus on results and impact, not job titles

Join Longshot Systems, a pioneering company dedicated to developing cutting-edge platforms for sports betting analytics and trading.We are in search of a Senior Software Engineer to become a vital member of our trading platform team. As a small but highly focused organization, we seek an individual who can effectively architect and implement solutions to achieve our upcoming product, performance, and stability objectives. This role involves ownership of our technical standards, coding guidelines, CI/CD processes, observability, and security measures. If you are passionate about delivering features and enhancing the overall technical excellence of our team and platform, we want to hear from you.Our trading platform is responsible for integrating with numerous bookmakers and exchanges globally, normalizing and consolidating global odds data across various sports for internal trading strategies. We manage thousands of odds updates and trades per second, maintaining stringent standards for latency, correctness, and feed quality. You will be at the forefront, integrating additional trading venues, optimizing key platform components, and enhancing the safety and speed of trading. Our team also oversees a large historical data repository, supporting the company's broader trading and research initiatives.Our key platform systems are primarily built using Golang, featuring message buses and databases at the core of our architecture. While fluency in Golang is advantageous, it's not a prerequisite, as we have a team full of experts ready to assist you in learning.We embrace a hybrid work model, with Thursdays in our London office (Farringdon) and flexible arrangements for the rest of the week. Our standard working hours are 10 AM to 6 PM UK time, Monday through Friday, with support for flexible schedules to help our team achieve their objectives.