AI Infrastructure Engineer

Join MUBI as a Senior Infrastructure EngineerMUBI is a renowned global streaming service, production company, and film distributor committed to celebrating exceptional cinema. Our mission is to create, curate, acquire, and promote visionary films that reach audiences worldwide. With passionate teams collaborating across cities like London, New York, Istanbul…

Intercom builds AI-powered customer service tools for businesses around the world. Our flagship AI agent, Fin, helps companies deliver 24/7 support and handle complex questions that sometimes require a human touch. Integrated with our Helpdesk, Fin forms part of the Intercom Customer Service Suite, which supports nearly 30,000 businesses globally. Founded in 2011, Intercom continues to set new standards for customer service by moving quickly, pushing boundaries, and delivering real value to clients. Role Overview The AI Infrastructure team at Intercom is looking for Senior AI Infrastructure Engineers in London. This group develops and maintains the systems that train and serve the next generation of Intercom’s AI models. The team’s work ranges from optimizing GPU architecture to building user-facing agents that handle millions of support requests each month. Engineers here design the training pipelines and manage inference for custom models like Fin Apex, which leads the industry in customer service performance. The team operates at the core of Intercom’s AI efforts. What You Will Do Design and scale training pipelines for large transformer and LLM models, including data ingestion, preprocessing, distributed training, and evaluation. Develop and improve inference services to deliver low-latency, reliable user experiences, covering autoscaling, routing, and fallback strategies. Optimize GPU-level performance by tuning kernels, improving utilization, and identifying bottlenecks in training and inference systems. Work closely with ML scientists to deploy advanced training and inference techniques. What We’re Looking For Hands-on experience with model training or model inference at scale, or low-level GPU programming (such as CUDA or Triton). Experience in more than one of these areas is especially valued.

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.

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.

Join Us at ConveoAt Conveo, we are pioneering an AI research platform that facilitates rapid, cost-effective, and high-quality consumer and B2B research. Our innovative AI video interviewer is trusted by global brands such as Unilever, Google, and Orange, empowering insights across marketing and product teams.Why This Role MattersTraditional research methods are often slow, costly, and lack depth. They require specialized expertise, which can be a barrier for many organizations. By addressing these challenges, we enhance how companies comprehend and serve their customers.Your Future TeamYou will be part of an exceptionally skilled and passionate team dedicated to pushing boundaries while enjoying our work. Our collective experience spans decades in market research, engineering excellence, and entrepreneurship.Our Work CultureWe prioritize our clients and the solutions we offer, consistently going above and beyond.Our engineering team collaborates directly with customers, fostering open communication.We balance hard work with fun, creating an energetic atmosphere.To maintain our high standards, we strive for a lean but effective team.About the RoleThis position transcends a traditional infrastructure role; we seek an individual who is adept at strengthening Kubernetes clusters, contributing to product features, and developing internal tools that enhance our product and engineering capabilities. As a Senior Platform Engineer, you will own the infrastructure and deployment platform that powers Conveo's AI research product while influencing the engineering approach. You will establish AI toolchains, workflows, and safeguards that allow our engineers to operate efficiently with automation and AI.This is a critical role with significant impact. You will build upon existing foundations and elevate how Conveo builds, deploys, and manages our systems at scale. As we expand from 8 to over 18 engineers this year, you will ensure our infrastructure evolves in tandem with our growth and customer needs.

About H Company H Company pursues advances in superintelligence with a focus on agentic AI. The team works to automate complex, multi-step tasks that typically require human involvement, aiming to expand what people can achieve. H Company values curiosity, responsibility, and a commitment to safety in AI. The culture emphasizes openness, ongoing learning, and collaboration, with each person’s input recognized and appreciated. Infrastructure Team Overview The Infrastructure team provides researchers and engineers with the resources they need to do their best work. This group maintains the core infrastructure behind H’s public services, building systems that are reliable, scalable, and ready for growth. Team members shape everything from foundational models to agent systems and public-facing services.

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

Role overview The Presales Engineer - AI Cloud Infrastructure position at NexGen Cloud is based in London, UK, with a hybrid work arrangement. This role sits within the Sales department and reports to Sales Leadership for Hyperstack, the company’s AI cloud platform. What you will do This role connects prospective clients, the sales team, and internal engineering as NexGen Cloud’s technical offerings become more advanced. The focus is on supporting the commercial pipeline by guiding customers through technical decisions and shaping solutions that fit their needs. Lead technical discovery sessions to understand what customers require Design AI cloud solutions tailored to each client’s goals Facilitate in-depth technical conversations with customers and internal teams Ensure solutions are delivered with accuracy and meet client expectations About NexGen Cloud NexGen Cloud powers Hyperstack, an AI cloud platform used by clients ranging from AI researchers to large enterprises with demanding computational workloads. The company provides on-demand and private GPU infrastructure, focusing on high-performance solutions where speed and reliability matter most. The team values close collaboration and works at the forefront of AI cloud technology. Employees across NexGen Cloud use AI tools to solve technical challenges, deliver solutions quickly, and set new standards for enterprise GPU infrastructure.

Role overview As a Senior Infrastructure Engineer (AWS) at umed, the focus is on building and maintaining the company’s cloud infrastructure. This position is fully remote and supports the London-based team. The main responsibilities involve designing, implementing, and managing scalable environments within AWS. What you will do Design and implement AWS infrastructure to meet evolving business requirements Manage and fine-tune cloud services to ensure high reliability and strong performance Collaborate with teams across umed to keep services available and responsive Incorporate security and compliance best practices into all infrastructure work Location This is a remote position, supporting the team in London, England, United Kingdom.

At Algolia, we are proud to be at the forefront of AI Search technology, enabling over 17,000 businesses to provide lightning-fast, predictive search and browsing experiences on a global scale. We handle more than 30 billion search requests each week, surpassing the combined total of Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo.In 2021, we secured $150 million in Series D funding, elevating our valuation to $2.25 billion. This strong financial backing allows us to continuously enhance our industry-leading platform and serve esteemed clients like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens.Algolia was designed to empower users to offer an intuitive search-as-you-type functionality on their websites and mobile applications. Our search API is utilized by thousands of clients across more than 100 countries, facilitating billions of search queries every month thanks to the code we deploy into production daily.We are on the lookout for a Senior Software Engineer to join our Metis team, which is responsible for the cloud-based scalable architecture of NeuralSearch, our AI-powered search engine that integrates both keyword and vector search capabilities. Metis comprises distributed components that manage the construction and storage of indices containing customer data and querying that data to deliver relevant search results. This role demands a deep understanding of the complexities associated with distributed systems.Our team is composed of engineers, with most working remotely, bringing diverse skill sets and backgrounds. Your unique experiences and insights will contribute to our collective diversity, helping us to create impactful products.

About Multiverse Multiverse builds an upskilling platform focused on AI and technology skills. More than 1,500 companies partner with us to deliver practical learning for today's workforce. Our apprenticeships support people at every stage of their careers, helping them gain critical skills in AI, data, and technology. Learners at Multiverse have delivered over $2 billion in ROI for their employers by applying new skills to real business challenges. In June 2022, we closed a $220 million Series D funding round, co-led by StepStone Group, Lightspeed Venture Partners, and General Catalyst. This brought our post-money valuation to $1.7 billion and made us the UK’s first EdTech unicorn. Today, our team includes more than 800 employees. With a strong operational base, we are scaling our impact and remain committed to unlocking potential through technology skills. Our Mission We aim to empower the workforce for success in the AI era by making essential tech skills accessible to all.

Join us at Solve Intelligence, where we are pioneering AI-driven infrastructure for the global Intellectual Property sector. We are seeking a talented Infrastructure Engineer to develop the secure and scalable systems that drive our innovative solutions. Your Role: As an Infrastructure Engineer, you will collaborate with a highly skilled engineering team in London. Your focus will go beyond server management; you will architect multi-region, high-performance systems capable of processing complex AI tasks.Key Responsibilities:Cloud Architecture: Design, implement, and optimize our AWS infrastructure using Terraform for maximum reliability, cost-effectiveness, and scalability.Global Deployment: Create infrastructure patterns to support multi-region deployments and isolated environments tailored for enterprise clients.Developer Efficiency: Build and maintain CI/CD pipelines (using GitHub Actions and Docker) that enable our team to deliver features swiftly and securely.Monitoring & Reliability: Implement observability practices using OpenTelemetry and Datadog to proactively identify and resolve issues before they affect users.AI Performance Optimization: Fine-tune autoscaling and network routing to efficiently handle resource-heavy LLM workloads with minimal latency. About Solve Intelligence: We are a rapidly growing startup reinventing the IP industry.Growth: Achieving 20-30% month-over-month revenue increases; currently serving over 200 global IP teams, including DLA Piper and various tech companies.Impact: Our users experience efficiency improvements of 50-90% through our AI solutions.Funding: Recently highlighted in Sifted, following our $40M Series B funding round, bringing our total investment to $55M from prestigious investors like Y Combinator, 20VC, and others. Your Team: Work alongside a founding group of AI PhDs and top-tier systems engineers.

Join PhysicsX as a Senior Machine Learning Infrastructure Engineer and play a pivotal role in shaping our machine learning capabilities. In this position, you will architect, develop, and scale our infrastructure to support advanced machine learning models and applications. Collaborate with cross-functional teams to ensure seamless integration and high performance of our ML systems.

About Our TeamJoin the Applications Engineering team, a dynamic group that collaborates across research, engineering, product management, and design to deliver cutting-edge AI solutions for consumers and businesses alike.As a member of our team, you will play a vital role in managing the essential infrastructure that underpins products like ChatGPT and our API. This encompasses our Kubernetes clusters, infrastructure deployment, networking architecture, cloud abstractions, and much more.We are committed to learning from our deployments and spreading the advantages of AI while ensuring its responsible and safe application. For us, safety takes precedence over unrestricted growth.Role OverviewOur cloud infrastructure team is dedicated to constructing and sustaining infrastructure abstractions that empower OpenAI to deliver products efficiently and at scale.Key Responsibilities:Design and develop robust development and production platforms that ensure reliability and security at scale.Guarantee that our infrastructure is poised to scale for future demands.Foster a diverse, equitable, and inclusive environment that encourages openness, welcome, and the challenging of conventional thinking.Participate in the overall responsibility for system reliability, including an on-call rotation for critical incidents.Ideal Candidate Profile:5+ years of experience in building core infrastructure systems.Skilled in operating orchestration systems, particularly Kubernetes, on a large scale.Experience in creating abstractions over various cloud platforms.Pride in developing and managing scalable, reliable, and secure systems.Comfortable navigating ambiguity and adapting to rapid changes.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves the greater good of humanity. We continuously push the boundaries of AI capabilities and are focused on the safe deployment of these technologies through our innovative products. Our mission is to prioritize safety and human needs while embracing diverse perspectives, ensuring that our AI tools are developed responsibly.

Role overview Paconsulting is hiring a Senior AI Engineer in London. This position shapes how artificial intelligence supports and advances the company’s services. The Senior AI Engineer partners with colleagues from different disciplines to build and deploy advanced AI models and algorithms. What you will do Design, develop, and implement AI models and algorithms Collaborate with cross-functional teams to integrate AI solutions into service offerings

Role overview ASOS Plc seeks a Senior AI Engineer based in London to create AI-driven solutions that enhance customer interactions with the ASOS platform. This position collaborates with teams across the company to address practical challenges through machine learning and artificial intelligence. What you will do Design, build, and deploy AI models that align with ASOS's business objectives Partner with engineering, product, and data teams to deliver integrated solutions Use advanced machine learning and AI techniques to improve both customer experience and operational processes

Ebury empowers ambitious businesses to unlock global growth, and we extend the same philosophy to our team members. We promote innovation, collaboration, and problem-solving, creating an inclusive environment where everyone feels valued, supported, and empowered to thrive.If you are a collaborative individual eager to transform how businesses operate on a global scale, we invite you to connect with us. Discover how Ebury can fast-track your career and help you shape the future.Senior Security Engineer - Cloud InfrastructureHybrid (4 days in office) in LondonEbury is making significant investments in its cloud infrastructure security to ensure the integrity and safety of our global financial services. As a Senior Security Engineer specializing in Cloud Infrastructure, you will be responsible for enhancing and managing the security posture of our cloud environments across AWS and GCP, focusing on network security, perimeter defense, and attack surface management.This hands-on position requires extensive expertise in cloud-native security controls, network architecture, and proactive defensive security operations. You will design, implement, and maintain security infrastructure that identifies and mitigates threats before they affect our operations. Collaborating closely with platform, infrastructure, and security operations teams, you will embed security best practices into our cloud foundations.Key ResponsibilitiesManage cloud security posture and attack surface: Ensure comprehensive visibility and control across AWS and GCP environments. Implement cloud-native security monitoring, detection, and alerting mechanisms to proactively identify and mitigate threats, establishing and enforcing security baselines through policy-as-code.Design and oversee web application firewall infrastructure: Maintain WAF configurations across AWS and GCP, creating and fine-tuning detection rules in line with application threat models and emerging attack patterns. Develop operational processes for rule management and incident response integration, collaborating with application teams to implement protections without disrupting availability.Architect network segmentation and isolation: Design and implement strategies ensuring proper separation between development, staging, and production environments. Define consistent patterns across multi-cloud infrastructure, apply zero-trust principles to workload communication, and document reference architectures for engineering teams.

Role overview SmartRecruiters seeks a Senior AI Engineer based in the United Kingdom. The position centers on building and refining artificial intelligence models to enhance product capabilities and support overall business objectives. What you will do Design, implement, and optimize AI models for practical use cases Collaborate with teams across the company to integrate AI solutions into existing products Apply technical expertise to projects that influence the direction of our technology Requirements Substantial experience in artificial intelligence and machine learning Proven ability to design and deploy AI models Comfort working with cross-functional teams

Role overview The Senior Applied AI Engineer at Taktile will play a central part in building and refining AI-driven solutions for the company's product suite. This position requires direct involvement with AI models and regular collaboration with colleagues across different teams. The work will help guide both the technical and product direction at Taktile. What you will do Design, develop, and implement applied AI models to enhance Taktile’s products. Collaborate with engineering, product, and other teams to take AI features from initial idea to production deployment. Participate in shaping product and AI strategies through active contribution to team discussions and decision-making. Location This is an in-office role based at Taktile’s London location.