Nscale
Data Engineer, Business Operations, London About Nscale Nscale is the GPU cloud engineered for AI. We provide cost effective, high performance infrastructure for AI start ups and large enterprise customers. Nscale enables AI focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About the Role We're looking for a Data Engineer to help design, build, and operate the data foundations that underpin Nscale's platform, internal operations, and customer facing capabilities. This is a high impact, early stage role. You'll work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw operational signals - from GPUs, clusters, customers, and internal systems - into reliable, scalable data products that ensure delivery at a previously unseen pace. You'll help define how data is collected, modelled, served, and trusted across the company, and have the opportunity to build on Palantir Foundry, as well as other products. This role is ideal for someone who enjoys building data systems from first principles, thrives in ambiguous environments, and wants to see their work directly influence product decisions, platform reliability, and customer outcomes. What you'll be doing Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems. Define data models and schemas that support operational workflows and use cases across the business, monitoring, and analytics. Clean, transform and structure the data to create a digital twin of Nscale. Implement permissioning and manage access and security of the Foundry implementation. Data Products & Enablement Create trusted datasets and metrics that power workflows and processes, internal tools, and customer facing insights. Enable self serve analytics by establishing clear data contracts, documentation, and semantic layers. Build use cases including but not limited to capacity planning, cost optimisation, reliability analysis, and customer reporting to drive our business forward. Collaborate with Product and Commercial teams to translate real world questions into robust data solutions. Reliability, Quality & Governance Implement data quality checks, monitoring, and alerting to ensure data correctness and availability. Codify data lineage, freshness, and consistency across systems. Establish best practices around data versioning, access control, and governance appropriate for a fast scaling company. Continuously improve system resilience and observability. Early Stage Ownership & Growth Take end to end ownership of projects, from design through to production and iteration. Help define standards, tooling, and ways of working for data at Nscale. Contribute to technical decision making as the company scales its platform and customer base. Act as a thought partner to engineers and operators, not just a service function. About You Deep, hands on experience building in Palantir Foundry, including ontology modelling, pipeline development, API integration, and large scale data platform design. Strong proficiency in Python, with experience applying data engineering libraries and frameworks (e.g. Spark, PySpark, Dask, pandas) to work with large, complex datasets. Familiarity with API driven data integration, including REST, GraphQL, and Foundry Action APIs. Practical experience working in Git based development workflows, including code reviews, version control, and CI/CD pipelines. Comfort working in ambiguous, early stage environments where requirements evolve quickly. Strong communication skills - able to explain data concepts clearly to technical and non technical stakeholders. A bias toward ownership, pragmatism, and shipping useful solutions. Nice to Have Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry. Familiarity with distributed systems, monitoring data, or usage based billing data. Experience supporting customer facing data products or platforms. What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive package (base + equity) with reviews every 12 months. Join the fastest growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting edge AI. Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support. Human First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice:Here.
Data Engineer, Business Operations, London About Nscale Nscale is the GPU cloud engineered for AI. We provide cost effective, high performance infrastructure for AI start ups and large enterprise customers. Nscale enables AI focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About the Role We're looking for a Data Engineer to help design, build, and operate the data foundations that underpin Nscale's platform, internal operations, and customer facing capabilities. This is a high impact, early stage role. You'll work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw operational signals - from GPUs, clusters, customers, and internal systems - into reliable, scalable data products that ensure delivery at a previously unseen pace. You'll help define how data is collected, modelled, served, and trusted across the company, and have the opportunity to build on Palantir Foundry, as well as other products. This role is ideal for someone who enjoys building data systems from first principles, thrives in ambiguous environments, and wants to see their work directly influence product decisions, platform reliability, and customer outcomes. What you'll be doing Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems. Define data models and schemas that support operational workflows and use cases across the business, monitoring, and analytics. Clean, transform and structure the data to create a digital twin of Nscale. Implement permissioning and manage access and security of the Foundry implementation. Data Products & Enablement Create trusted datasets and metrics that power workflows and processes, internal tools, and customer facing insights. Enable self serve analytics by establishing clear data contracts, documentation, and semantic layers. Build use cases including but not limited to capacity planning, cost optimisation, reliability analysis, and customer reporting to drive our business forward. Collaborate with Product and Commercial teams to translate real world questions into robust data solutions. Reliability, Quality & Governance Implement data quality checks, monitoring, and alerting to ensure data correctness and availability. Codify data lineage, freshness, and consistency across systems. Establish best practices around data versioning, access control, and governance appropriate for a fast scaling company. Continuously improve system resilience and observability. Early Stage Ownership & Growth Take end to end ownership of projects, from design through to production and iteration. Help define standards, tooling, and ways of working for data at Nscale. Contribute to technical decision making as the company scales its platform and customer base. Act as a thought partner to engineers and operators, not just a service function. About You Deep, hands on experience building in Palantir Foundry, including ontology modelling, pipeline development, API integration, and large scale data platform design. Strong proficiency in Python, with experience applying data engineering libraries and frameworks (e.g. Spark, PySpark, Dask, pandas) to work with large, complex datasets. Familiarity with API driven data integration, including REST, GraphQL, and Foundry Action APIs. Practical experience working in Git based development workflows, including code reviews, version control, and CI/CD pipelines. Comfort working in ambiguous, early stage environments where requirements evolve quickly. Strong communication skills - able to explain data concepts clearly to technical and non technical stakeholders. A bias toward ownership, pragmatism, and shipping useful solutions. Nice to Have Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry. Familiarity with distributed systems, monitoring data, or usage based billing data. Experience supporting customer facing data products or platforms. What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive package (base + equity) with reviews every 12 months. Join the fastest growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting edge AI. Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support. Human First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice:Here.
Nscale
At Nscale, we're on a mission to build the engine of superintelligence, and developers are at the center of how that future gets built. We're looking for a Developer Relations Engineer to define how developers discover, learn, build, and scale on Nscale's AI infrastructure platform. This role will own the global developer relations strategy - from technical content and community engagement to developer experience feedback loops and ecosystem growth - ensuring developers can successfully build and deploy AI workloads on Nscale. You'll lead programs that connect Nscale's engineering and product teams with the global developer community, turning powerful infrastructure capabilities into approachable demos, learning paths, hands on examples, and engaging developer experiences. This role sits on the Product Marketing team and focuses on three core pillars: Technical storytelling & community engagement: Creating content, demos, and events that help developers understand and adopt Nscale's AI infrastructure platform. Developer adoption & ecosystem growth: Expanding the global community of developers building on Nscale infrastructure through education, advocacy, and partnerships. Developer experience & product feedback: Acting as the voice of the developer internally, identifying friction in onboarding, documentation, services, and tooling. You'll have the autonomy to build the foundations of a modern DevRel function from the ground up - defining the programs and developer journeys that make Nscale the platform developers choose to build the next generation of AI on. At Nscale, innovation isn't just encouraged - it's expected. What You'll Do Own the global developer relations strategy. Define how Nscale engages developers across content, community, events, and education to drive platform adoption. Drive developer adoption. Create self serve content that supports every stage of the developer journey - from discovery and evaluation to building and deploying AI workloads on Nscale. Create a developer content engine. Oversee the creation of high quality technical resources, including documentation improvements, code samples, demos, tutorials, notebooks, blog posts, and videos. Represent Nscale in the developer ecosystem. Speak at developer conferences, meetups, and hackathons; build strong relationships with open source communities, AI native companies, and the broader AI research community. Act as the bridge between developers and internal teams. Serve as a key connection point across Product, AI Platform Engineering, and Marketing. Identify friction, gaps, and emerging use cases from the developer ecosystem, feeding these insights back into product and platform teams while staying closely aligned with roadmap direction to proactively shape external content, demos, and ecosystem contributions. Build and scale developer programs. Launch initiatives such as ambassador programs, open source initiatives, research collaborations, and training programs that help developers succeed on Nscale. Instrument developer growth. Support product led developer growth by partnering with growth teams to define KPIs and dashboards that track self serve adoption, usage, content engagement, and community growth. Experiment and evolve. Test new formats for developer education (live coding, interactive labs, tutorials, community challenges) and scale what drives adoption. Who You Are 8+ years of experience in developer relations, advocacy, technical marketing, or developer focused product roles within technology companies, with a track record of building programs that drive measurable product adoption. Bachelor's Degree in Machine Learning, Engineering, Computer Science, Technical or other related discipline or equivalent experience. Strong technical background in ML and passionate about cloud infrastructure, with hands on experience running AI workloads at scale (e.g., GPU compute, distributed systems, Kubernetes, model fine tuning, and production inference), and familiarity with modern AI tooling including open source frameworks, libraries, and agent based systems. Deep understanding of how both AI native teams and enterprises adopt AI infrastructure, with the ability to position beyond demos by showing how workloads evolve from prototype to production across development, testing, and production environments. Strong point of view on the evolving AI landscape, with the ability to identify emerging models, techniques, and developer patterns early and translate them into high impact content, demos, and strategic opportunities. Deeply connected within the AI/ML ecosystem, with strong industry ties across leading companies, open source communities, or research groups (e.g., NVIDIA, Hugging Face, PyTorch, TensorFlow, JAX, Kaggle, Modular, GPU Mode, Python Foundation). Proven ability to communicate complex technical concepts and engage developer communities across content, speaking at events, open source, and online platforms. Data driven mindset, with experience measuring developer adoption and engagement metrics; familiarity with product led growth (PLG) motions is a plus. Comfortable collaborating with engineering, product, and marketing teams, and communicating insights and impact to senior leadership. What success looks like in the first 6 months Developer relations strategy and developer adoption roadmap formally adopted by Marketing, Product, and AI Engineering teams. Developer onboarding resources live, including demos, cookbooks, tutorials, and technical blogs published to support onboarding and developer success. Nscale developer presence established across key technical communities and developer events. Active contributions to strategic open source projects, strengthening Nscale's position as a leading AI infrastructure platform and GPU provider within the developer ecosystem. Developer adoption metrics and reporting dashboards established in partnership with Marketing to support product led growth, tracking indicators such as usage, onboarding success, and community engagement. Developer community presence established, including the launch of an initial community space and early programs to help developers connect, share knowledge, and build on Nscale. Why Nscale At Nscale, we're a team of builders, operators, and storytellers shaping the future of AI infrastructure. You'll join a company where developers are central to our growth and where developer relations is treated as a core strategic function - not just a marketing channel. If you're excited about helping developers build the next generation of AI applications and defining how a fast growing AI infrastructure company engages with its developer ecosystem, this role is for you. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice:Here.
At Nscale, we're on a mission to build the engine of superintelligence, and developers are at the center of how that future gets built. We're looking for a Developer Relations Engineer to define how developers discover, learn, build, and scale on Nscale's AI infrastructure platform. This role will own the global developer relations strategy - from technical content and community engagement to developer experience feedback loops and ecosystem growth - ensuring developers can successfully build and deploy AI workloads on Nscale. You'll lead programs that connect Nscale's engineering and product teams with the global developer community, turning powerful infrastructure capabilities into approachable demos, learning paths, hands on examples, and engaging developer experiences. This role sits on the Product Marketing team and focuses on three core pillars: Technical storytelling & community engagement: Creating content, demos, and events that help developers understand and adopt Nscale's AI infrastructure platform. Developer adoption & ecosystem growth: Expanding the global community of developers building on Nscale infrastructure through education, advocacy, and partnerships. Developer experience & product feedback: Acting as the voice of the developer internally, identifying friction in onboarding, documentation, services, and tooling. You'll have the autonomy to build the foundations of a modern DevRel function from the ground up - defining the programs and developer journeys that make Nscale the platform developers choose to build the next generation of AI on. At Nscale, innovation isn't just encouraged - it's expected. What You'll Do Own the global developer relations strategy. Define how Nscale engages developers across content, community, events, and education to drive platform adoption. Drive developer adoption. Create self serve content that supports every stage of the developer journey - from discovery and evaluation to building and deploying AI workloads on Nscale. Create a developer content engine. Oversee the creation of high quality technical resources, including documentation improvements, code samples, demos, tutorials, notebooks, blog posts, and videos. Represent Nscale in the developer ecosystem. Speak at developer conferences, meetups, and hackathons; build strong relationships with open source communities, AI native companies, and the broader AI research community. Act as the bridge between developers and internal teams. Serve as a key connection point across Product, AI Platform Engineering, and Marketing. Identify friction, gaps, and emerging use cases from the developer ecosystem, feeding these insights back into product and platform teams while staying closely aligned with roadmap direction to proactively shape external content, demos, and ecosystem contributions. Build and scale developer programs. Launch initiatives such as ambassador programs, open source initiatives, research collaborations, and training programs that help developers succeed on Nscale. Instrument developer growth. Support product led developer growth by partnering with growth teams to define KPIs and dashboards that track self serve adoption, usage, content engagement, and community growth. Experiment and evolve. Test new formats for developer education (live coding, interactive labs, tutorials, community challenges) and scale what drives adoption. Who You Are 8+ years of experience in developer relations, advocacy, technical marketing, or developer focused product roles within technology companies, with a track record of building programs that drive measurable product adoption. Bachelor's Degree in Machine Learning, Engineering, Computer Science, Technical or other related discipline or equivalent experience. Strong technical background in ML and passionate about cloud infrastructure, with hands on experience running AI workloads at scale (e.g., GPU compute, distributed systems, Kubernetes, model fine tuning, and production inference), and familiarity with modern AI tooling including open source frameworks, libraries, and agent based systems. Deep understanding of how both AI native teams and enterprises adopt AI infrastructure, with the ability to position beyond demos by showing how workloads evolve from prototype to production across development, testing, and production environments. Strong point of view on the evolving AI landscape, with the ability to identify emerging models, techniques, and developer patterns early and translate them into high impact content, demos, and strategic opportunities. Deeply connected within the AI/ML ecosystem, with strong industry ties across leading companies, open source communities, or research groups (e.g., NVIDIA, Hugging Face, PyTorch, TensorFlow, JAX, Kaggle, Modular, GPU Mode, Python Foundation). Proven ability to communicate complex technical concepts and engage developer communities across content, speaking at events, open source, and online platforms. Data driven mindset, with experience measuring developer adoption and engagement metrics; familiarity with product led growth (PLG) motions is a plus. Comfortable collaborating with engineering, product, and marketing teams, and communicating insights and impact to senior leadership. What success looks like in the first 6 months Developer relations strategy and developer adoption roadmap formally adopted by Marketing, Product, and AI Engineering teams. Developer onboarding resources live, including demos, cookbooks, tutorials, and technical blogs published to support onboarding and developer success. Nscale developer presence established across key technical communities and developer events. Active contributions to strategic open source projects, strengthening Nscale's position as a leading AI infrastructure platform and GPU provider within the developer ecosystem. Developer adoption metrics and reporting dashboards established in partnership with Marketing to support product led growth, tracking indicators such as usage, onboarding success, and community engagement. Developer community presence established, including the launch of an initial community space and early programs to help developers connect, share knowledge, and build on Nscale. Why Nscale At Nscale, we're a team of builders, operators, and storytellers shaping the future of AI infrastructure. You'll join a company where developers are central to our growth and where developer relations is treated as a core strategic function - not just a marketing channel. If you're excited about helping developers build the next generation of AI applications and defining how a fast growing AI infrastructure company engages with its developer ecosystem, this role is for you. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice:Here.