Engineering Manager for AI Models Infrastructure

Join hyperexponential as an Engineering Manager - AI TeamAt hyperexponential, we are revolutionizing the insurance industry with our AI-driven platform that empowers critical decision-making in a £7 trillion market. Our technology influences significant outcomes, from successful space missions to the deployment of autonomous vehicles and community resilience in the face of disasters.Insurance decisions, often reliant on outdated tools, are being transformed. Our platform integrates data, AI, and human expertise, providing insurers with a rapid path from submission to decision, allowing them to react swiftly and confidently manage increased risks.With backing from a16z, Highland Europe, and Battery Ventures, we are expanding globally, already trusted by nearly 50 major insurers, with zero churn and billions in premiums flowing through our system.What started as a single product has evolved into a multi-product, multi-territory platform that enhances every aspect of pricing and underwriting strategy. At our core lies AI innovation, exemplified by initiatives such as the world’s first domain-specific AI peer programmer for insurance and transformative workflows that redefine industry operations.Our team values impact over titles and tenure. Here, challenges and discipline define your role. You will collaborate with talented peers, enabling you to produce your most impactful work in an environment built for longevity.If you’re ready to shape the future with us, we invite you to apply.About the AI TeamThe Agent teams are dedicated to developing and scaling advanced AI solutions that streamline customer workflows, ranging from autonomous analysis to user-driven automation. As an Engineering Manager, you will play a pivotal role in transforming ambitious product visions into concrete, production-ready agent functionalities that drive significant results for our clients.This team operates with the agility of a highly aligned unit, fostering close collaboration among Engineering, Product, Design, and Research Engineering. We thrive on rapid feedback and prioritize experimentation, viewing uncertainty as an opportunity for innovative design. Our approach includes formal practices for exploration and exploitation, ensuring we focus on impactful solutions while discarding ineffective ones.

About the Role: As we experience rapid growth, our Engineering team is set to expand in the next three months, and we are actively seeking an Engineering Manager to join Bluefish’s engineering leadership team. This position is not merely about leadership; it represents a unique opportunity to influence the trajectory of a dynamic, product-focused startup during a pivotal growth phase. In this capacity, you will oversee our Data Engineering team, tasked with developing the pipelines and infrastructure that fuel our AI-driven commerce intelligence platform. Our systems handle and process hundreds of millions of synthetic prompts and signals, with expectations of significant scaling as our traffic increases exponentially in the upcoming months. A key aspect of this role involves guiding the team in evolving our data platform towards a scalable data lake architecture while ensuring the reliability of essential production pipelines utilized by enterprise clients. You will be at the forefront of execution, quality, and team culture. Your leadership will help transition early-stage momentum into a mature, high-performing team while maintaining the agility and pace that characterize outstanding startups.

About Us:Smarkets: Shaping the Future of BettingSmarkets operates one of the globe's most advanced prediction markets, processing over £29 billion in transactions since 2010 and connecting over 200,000 traders worldwide. As a technology-driven enterprise, we are transforming the betting landscape—spanning sports, political markets, and delivering the most competitive prices and fair odds.Our technology stack is engineered for scalability, reliability, and speed, featuring Linux, Kafka, Postgres, and Kubernetes, with Python 3, C++17, and React powering our platform. We develop infrastructure that institutions depend on while ensuring trading remains accessible to all. Our unique advantage lies in our resilience through market fluctuations, competition, and industry transformations.At the core of our success are our talented individuals. We foster a high-performance culture where exceptional talent flourishes, combining extensive business insight with a commercial outlook to drive strategic expansion.If you are eager to influence the future of prediction markets with state-of-the-art technology and a customer-centric approach, Smarkets is the right place for you.Role Overview:As the Engineering Team Lead, you will spearhead a team of software engineers responsible for building, managing, and maintaining the microservices that power Smarkets' innovative products.Your role will involve steering the team's direction, nurturing their professional development, and ensuring we are constructing the optimal stack to drive our product's future. You will leverage your team's capabilities to ensure our services remain responsive, scalable, and high-performing.You will collaborate closely with your engineering team, fellow engineering managers, technical leaders, and product managers to propel the intricate technical projects that advance the Smarkets product roadmap.

Lead Engineering Manager - AIJoin us at ClearScore Technology Limited, where we are on the lookout for a highly skilled Lead Engineering Manager to spearhead the development of our newly established AI engineering team. This pivotal group will focus on enhancing our understanding of core AI technologies and advancing our internal AI capabilities that drive our future product offerings.We take pride in our world-class engineering team at ClearScore, dedicated to delivering exceptional value to millions of users. For insights into our technology stack, explore our 2026 Tech Radar, and learn more about our operational ethos through our Engineering Principles. Additionally, check out our Tech Blogs on Medium for further information.Key Responsibilities:Lead and Develop: Manage a talented ensemble of mid-level, senior, and principal engineers from diverse disciplines. You will oversee their hiring, onboarding, and serve as a catalyst for their professional growth.Drive Technical Strategy: Formulate and implement the technical strategy and roadmap for the AI domain. Collaborate with and mentor the Principal Engineer to foster technical innovation and address our most intricate challenges.Lead Cross-Squad Programs: Take charge of complex technical initiatives that involve multiple squads. You will be responsible for coordinating efforts, managing dependencies, and ensuring the successful execution of significant company-wide projects.Deliver Impact: Ensure accountability within the squad for the execution and delivery of value to our users. Utilize modern agile practices to enhance the squad’s effectiveness and guarantee the delivery of high-quality, robust, and operationally excellent solutions.Shape Engineering Culture: Collaborate with broader engineering leadership to actively refine and enhance our company-wide managerial and technical best practices, cultivating a "you build it, you run it" mentality.

At Coram AI, we are revolutionizing video security in today's digital landscape. Our innovative cloud-native platform leverages cutting-edge computer vision and artificial intelligence to empower businesses with enhanced safety, informed decision-making, and rapid response capabilities. Experience real-time alerts, effortless clip sharing, and comprehensive visibility across multiple sites.Joining our dynamic, agile team means embracing clarity, excellence, and impactful contributions. Every team member has a voice, delivers significant work, and plays a vital role in shaping how AI can foster a safer and more interconnected world.In this role, you will be part of a pioneering team responsible for managing a sophisticated infrastructure that transcends conventional cloud setups. Beyond our robust AWS and Kubernetes configurations, we also oversee a vast array of IoT devices. We are in search of a skilled engineer who will play a crucial role in developing and maintaining our edge and cloud stack that supports our IoT product offerings, focusing on both infrastructure and the bespoke software we utilize.You will tackle intriguing challenges at the confluence of user experience, machine learning, and infrastructure, while committing to excellence, continuous learning, and delivering exceptional products in a fast-paced startup environment.

About UsAt Perk, we are revolutionizing travel and spend management with our intelligent platform that streamlines tedious tasks like travel bookings, expense tracking, and invoice processing. By automating these processes, we free our clients from the burdens of shadow work, allowing them to focus on what truly matters—driving productivity and innovation.Serving over 10,000 companies worldwide, including industry leaders like Wise, On Running, Breitling, and Fabletics, we are committed to addressing the $1.7 trillion issue of lost productivity—averaging 7 hours per employee each week. Founded in 2015, Perk is a global team of over 1,800 professionals across 12 offices, with headquarters in London and Boston. We blend innovation, control, and simplicity to enhance workplace efficiency and employee satisfaction.Our values—ownership, delivering a 7-star experience, and teamwork—drive us. We seek individuals who are curious, purpose-driven, and possess the right mindset to unlock potential. Our diverse talent pool represents over 70 countries, and if you are eager to make a significant impact in the professional world, we welcome you to join our team.To learn more about us, visit www.perk.com.

As the Engineering Team Lead for our dynamic Permian Business Unit, you will orchestrate the Asset Management program utilizing our advanced Computerized Maintenance Management System (CMMS). Your role will involve analyzing asset performance, managing work orders, and facilitating seamless data transfer across departments. You will collaborate with our Digital Innovation team to implement an Enterprise Asset Management Solution, while providing vital technical and administrative support to our engineering professionals.

Join Slingshot AI as an Engineering ManagerAt Slingshot AI, we are pioneering mental health solutions with our innovative AI, Ash. Our goal is to enhance accessibility to mental health support, empowering individuals to transform their lives.We are cultivating a high-performing team that values autonomy, flexibility, and the right support to excel in their roles. We believe in ambitious visions, rapid iterations, and a profound commitment to our mission. If you identify with these values, we invite you to apply.Our team comprises experts in machine learning, product development, engineering, conversational design, clinical support, growth, and operations, with offices in New York City and London.As a well-funded Series A startup, we have successfully secured $93M in investments from renowned firms, including Andreessen Horowitz, Radical Ventures, and Forerunner Ventures, alongside some of the most respected names in tech.Your RoleAs the Engineering Manager, you will oversee a product-oriented engineering squad dedicated to the continuous development of Ash. You will collaborate within a cross-functional team encompassing Product, Design, and Engineering, working closely with our Product Manager, Kieran Davies, to navigate ideas, define strategic directions, and convert ambiguity into actionable plans.We seek an approachable leader who earns the respect of engineers and fosters an environment that encourages exceptional work. Your focus will be on strategic decision-making regarding product development while maintaining hands-on involvement in our applications, prototypes, and infrastructure. This position is ideal for someone who enjoys a balance between leadership and technical contribution, prioritizing context over control, and values a cohesive, high-performance team.In this managerial capacity, you will promote clarity, stimulate constructive discussions, and assist engineers in adjusting to shifting priorities. Embracing change as a pathway to progress, you will view setbacks as opportunities for growth.

Intercom builds AI-powered customer service products for businesses worldwide. Nearly 30,000 companies use Intercom’s solutions to deliver support and improve customer engagement. The company’s AI agent, Fin, provides around-the-clock customer service and integrates with Intercom’s Helpdesk as part of the broader Customer Service Suite. For complex or sensitive queries, the suite enables seamless handoff to human agents. Role overview The AI Models Infrastructure Team sits within Intercom’s AI Group and develops the core systems for training and deploying proprietary AI models. As Engineering Manager for this team, lead a group of engineers focused on building and maintaining the technical foundation that powers Intercom’s AI capabilities. What you will do Guide and support a team of engineers working on AI infrastructure projects Oversee the design, development, and operation of systems for training and deploying AI models Stay current with advances in AI and infrastructure, applying new knowledge to team projects Foster technical growth and collaboration in a fast-evolving field What you bring Previous experience in AI or machine learning engineering Background in building and operating technical infrastructure Strong interest in deepening technical expertise Experience leading or mentoring engineers Location This position is based in London, England. Learn more About Intercom’s engineering culture: intercom.engineering About Fin: fin.ai

About DecagonDecagon stands at the forefront of conversational AI, empowering brands to deliver exceptional concierge-level customer experiences. Our innovative technology enables prominent enterprises such as Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy intelligent AI agents that facilitate personalized and engaging interactions across various channels, including voice, chat, email, and SMS.We are crafting a future where customer interactions are transformed from mere support tickets and hold music into swift resolutions and rich conversations, fostering deeper relationships. Supported by leading investors such as a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, we are committed to this vision.As an in-office company, we thrive on a culture of excellence and speed, guided by our core values: Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle.About the TeamThe Agent Software Engineering team at Decagon is dedicated to deploying cutting-edge conversational AI agents that impact millions of users and drive our growth. You will lead a team in enhancing our industry-leading AI platform, collaborating closely with customers and leveraging your creativity to develop scalable solutions that meet their evolving needs.Our mission is to create enchanting support experiences where AI agents work in tandem with human agents to resolve user issues effectively.About the RoleAs we expand with a new office in London, Decagon is seeking an Engineering Manager to establish and cultivate its culture from the ground up. In this pivotal role, you will have full ownership and autonomy in delivering top-tier AI agents, overseeing everything from initial implementation to ongoing refinement. You will engage directly with leaders across diverse sectors such as finance, healthcare, and hospitality, addressing their users’ needs with reliable and intuitive AI solutions.Our engineers take pride in owning their projects from start to finish and are empowered to make a significant impact. This position is ideal for someone eager to mentor junior engineers, tackle complex system challenges, and craft elegant, scalable solutions for millions of users.

About NevisNevis is pioneering the first-ever AI-driven wealth management platform, recently surpassing $50 billion in assets under management and projected to exceed $100 billion by year-end.Backed by prominent investors, Nevis has successfully secured $40 million in funding from Sequoia Capital, ICONIQ, and Ribbit, positioning itself as one of Europe’s most well-funded and rapidly expanding Series A startups.The RoleWe are on the lookout for an innovative and passionate Applied AI Engineer to join our dynamic team at Nevis. In this critical role, you will influence the development of our cutting-edge AI wealthtech product by creating LLM-driven automation solutions to tackle essential challenges faced by our corporate clients.You will engage with state-of-the-art LLM models, partnering with industry-leading vendors to enhance our product’s reasoning capabilities and achieve superior quality in our models’ outputs.Working alongside a distinguished team of engineers and product creators, including the ex-Head of AI at Revolut, you will have a unique opportunity to make a significant impact in one of the world’s largest industries.What You’ll DoDesign and develop LLM and ML-powered features for the Nevis platform.Collaborate with engineers and product teams to transition new AI capabilities from concept to production.Establish best practices for AI development, testing, observability, and reliability.Continuously assess and enhance AI product performance and reasoning accuracy.Work in tandem with product and design teams to prototype and refine new AI features.Stay abreast of advancements in Generative AI, including agentic systems and context engineering.Who You AreHands-on experience with LLMs.Demonstrated ability to solve real-world challenges using AI/ML.Strong statistical and data analysis skills.A STEM degree from a leading university.A passion for transformative AI technologies.A product-oriented mindset focused on practical solutions.

Join Anthropic as the Manager of Forward Deployed Engineering in our Applied AI division. In this pivotal role, you will lead a team of skilled engineers who are at the forefront of deploying innovative AI solutions. Your leadership will be crucial in driving technical excellence and fostering collaboration between cross-functional teams. You will work closely with product management and research teams to ensure our AI systems are effectively integrated into real-world applications.

Join the innovative team at Perplexity AI as an AI Infrastructure Engineer. We harness cutting-edge technologies, including Kubernetes, Slurm, Python, C++, and PyTorch, primarily within the AWS ecosystem. In this role, you will collaborate intimately with our Inference and Research teams to design, deploy, and enhance our extensive AI training and inference clusters.

Welcome to PMGFor 11 consecutive years, PMG has been recognized by Ad Age as one of the Best Places to Work and was named a Best Workplace for Innovators by Fast Company in 2022. As a leading independent marketing services and technology firm, we empower individuals and brands to realize their full potential. Our commitment to collective success allows us to harness a blend of business strategy, creative innovation, media expertise, and insightful analytics, alongside our proprietary platform, Alli, to deliver state-of-the-art digital solutions and media strategies.Our global team of over 900 professionals collaborates on transformative projects for renowned brands such as Apple, Nike, Sephora, and Whole Foods, impacting audiences in over 85 countries.Collaborative Team EnvironmentAs the Senior Manager of AI & Software Engineering, you will play a pivotal role within our Alli platform team, which focuses on developing organizational tools to manage multimillion-dollar budgets and foster seamless collaboration across integrated global teams, supporting some of the most iconic brands worldwide.You will partner with engineers, product managers, and designers who are passionate about solving complex challenges and creating innovative solutions. Together, you will utilize AI-driven tools and advanced technology to redefine digital marketing strategies. Our team is committed to not just ideation but also to executing these ideas, generating tangible results for our clients and the broader industry.In our dynamic and collaborative environment, creativity and innovation flourish. You will help shape the technical vision and roadmap, addressing intricate challenges like data integration, AI automation, and scalable system architecture. This role offers a chance to lead with intention, motivate your team, and contribute to a product that is redefining the future of digital marketing.Your ResponsibilitiesDefine and oversee a multi-year product roadmap in partnership with Product Managers and Designers to develop transformative products.Lead high-impact innovative projects that significantly influence the media and advertising landscape.Implement complex data integrations using APIs and conventional methods.Design and manage scalable technical solutions that prioritize architectural excellence and high performance.Conduct code reviews, mentor junior engineers, and provide constructive feedback to enhance team capabilities.

Aircall develops an AI-powered customer communications platform that serves over 22,000 companies worldwide. The platform brings together voice, SMS, WhatsApp, and AI features to help teams increase revenue, resolve issues quickly, and scale customer-facing operations. With headquarters in Paris and offices in London and other major cities, Aircall continues to expand its reach and invest in AI innovation. The company values customer satisfaction, data-driven decisions, and meaningful results. Ownership, ongoing learning, and collaboration are central to the team culture. People who thrive at Aircall appreciate making a tangible impact within a supportive, team-focused setting. Role overview The AI Productivity Engineer joins the Engineering Productivity (EngProd) team in the London office. The focus is on building and deploying AI-powered tools that streamline engineering workflows. Day-to-day work includes reducing friction, automating repetitive engineering tasks, and integrating intelligent solutions into routine activities. This position is not research-oriented or customer-facing. Instead, the emphasis is on delivering practical, production-ready AI systems that engineers use internally. The tools and systems developed will directly improve engineering efficiency across the organization. This role fits someone who enjoys creating reliable systems that others depend on, with a focus on long-term value over following short-lived trends.

Role Overview Position: Software Engineering Manager – Developer Experience & AI Location: London or Bristol (Hybrid working) Salary: £72,000 - £91,000 Team: Developer Experience & Release Engineering Reports to: Head of Platform Kaluza builds data-driven, AI-powered tools that help energy companies solve complex challenges and accelerate the shift toward clean, electrified solutions. Teams across Europe, North America, Asia, and Australia collaborate with partners including OVO, AGL, ENGIE, Volvo, and Volkswagen. By combining predictive algorithms with user-centered design, Kaluza aims to make clean energy reliable and affordable. What You Will Do Lead and scale two specialized engineering teams, Release Engineering and DevX AI, focused on reducing engineering friction and developing AI-native workflows. Foster a culture of technical excellence and psychological safety, supporting data-driven, product-focused engineers. Define and maintain the roadmap for Release Engineering, ensuring frequent, reliable, high-quality code deployments for Kaluza’s engineering community. Guide the evolution of Kaluza’s Internal AI Engineering Platform, including infrastructure such as MCP servers and agentic workflows, to advance productivity. Encourage cross-team collaboration within the Kaluza Technology community to standardize and adopt best practices across the organization. Eligibility and Work Authorization This role is based in the UK and requires a valid right to work in the UK. Kaluza cannot provide visa sponsorship for this position at this time. The company reviews sponsorship policies on a role-by-role basis. For future roles that may offer sponsorship, please check the Kaluza careers site.

About UsAt Percepta, we are dedicated to revolutionizing essential industries through applied AI. Our goal is to harness cutting-edge technology to enhance sectors that drive the global economy, such as healthcare, manufacturing, and energy.To achieve this, we collaborate closely with top-tier clients, facilitating their AI transformation journeys. Our unique strengths include:Expertise in engineering, product development, and research.Mosaic, our proprietary toolkit designed for the swift deployment of intelligent workflows.Strategic alliances with industry leaders like Anthropic, McKinsey, AWS, and more.Our rapidly expanding team comprises Applied AI Engineers, Embedded Product Managers, and Researchers, all driven by the mission to integrate AI into tangible improvements in everyday life.Percepta operates as a direct partnership with General Catalyst, a global transformation and investment firm.Role OverviewWe are seeking Applied AI Engineers to engage with customer executives, operators, and technical teams to devise and implement impactful AI systems. As we expand our footprint in Europe, your role will be pivotal in shaping our strategic direction and success in the region. Unlike many roles that focus on prototypes or laboratory projects, you will be responsible for designing, building, and deploying production-grade AI agents and workflows that generate substantial business value for our clients.Key ResponsibilitiesDefine AI Vision: Partner with client stakeholders to outline their long-term AI strategy and transformation roadmap.Identify Opportunities: Work backward from the long-term vision to highlight and prioritize specific AI applications that translate our ambitions into measurable business outcomes.Deliver Real Products: Quickly develop and deploy AI solutions that operate effectively in real-world scenarios with actual users and data.Enhance Our Core Product: Integrate insights from customer engagements into our Mosaic product, consistently introducing new features, patterns, and frameworks.

Role Overview bluefishai is looking for a Senior Applied AI Engineer to help shape how AI is implemented and integrated across the company. This position focuses on driving projects that improve developer productivity, streamline workflows, and introduce new product capabilities. The work is highly cross-functional and centers on delivering measurable business results. Key Responsibilities Lead initiatives that bring structure and clarity to AI adoption, setting standards for teams as they experiment with new approaches. Work closely with engineering, product, and leadership to identify impactful AI use cases and integrate them into the software development lifecycle. Advise on the application of emerging technologies, including agentic capabilities, to both products and internal processes. Mentor engineers, define best practices, and guide teams in adopting AI solutions that scale across the organization. Encourage collaboration and help align teams around practical, measurable solutions that boost productivity. Collaboration and Reporting This role reports directly to the VP of Engineering. Regular collaboration with engineering, product, and leadership teams is expected to ensure AI initiatives are impactful and aligned with business goals. Work Environment bluefishai is in the early stages of its AI journey, with a strong sense of curiosity and momentum. Teams are experimenting with different methodologies, and this role will be central in establishing effective, scalable AI practices across the company. Location This position is based in London or can be performed remotely within the UK.

At NiCE, we continuously push the boundaries of what's possible. We are driven by ambition, innovation, and a commitment to excellence. Our high standards propel us to achieve beyond expectations, and if you share our passion, we invite you to ignite your career with us. Role PurposeAs a pivotal leader, you will oversee and nurture a high-performing team of Customer Success Managers while mentoring a group of Technical Account Managers as they transition into proactive Customer Success roles.Your leadership will be complemented by your direct management of up to three strategic Enterprise clients, allowing you to stay intimately connected to their needs and exemplify best practices in customer engagement.Your mission is to enhance customer value, accelerate AI adoption, maximize return on investment, and significantly contribute to NiCE’s growth and retention goals.Key ResponsibilitiesYour role encompasses, but is not limited to:Team Leadership & People DevelopmentLead, mentor, and develop a team of Customer Success Managers to provide proactive, value-driven engagements.Facilitate the transition of Technical Account Managers through structured onboarding, skill enhancement, and full integration into CSM responsibilities.Foster a culture of ownership, customer-centricity, accountability, and ongoing learning.Conduct regular one-on-ones, manage performance, provide coaching, prioritize workloads, and oversee daily leadership responsibilities.Ensure consistent adherence to NiCE’s Customer Success methodologies, playbooks, and operating principles.Strategic Customer ManagementDirectly manage up to three enterprise-level, high-touch clients, ensuring deep engagement, AI adoption, and realization of value.Facilitate executive value reviews, roadmap discussions, and strategic business planning with assigned accounts.Serve as a senior escalation point and executive sponsor as needed.Operational Excellence & ExecutionEstablish and maintain strong operational rhythms within the team, including weekly reviews, risk assessments, and success plan audits.Ensure high-quality delivery of success plans, adoption strategies, AI capability enablement, and value presentations.Oversee customer lifecycle execution, ensuring consistency and excellence throughout.