Jobs at Scale AI

This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

As an Applied AI Engineer, you will build AI applications for public sector clients, create and evaluate datasets, and collaborate with teams to address challenges using AI solutions.

As a Senior Software Engineer, you'll scale the Scale Generative AI Platform, owning product areas, working across multiple tech stacks, and solving engineering challenges.

As a Mission Software Engineer, you'll develop solutions for government customers by integrating software into existing workflows, requiring significant travel, collaboration, and technical expertise.

This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.

Build and evolve cloud-agnostic deployment and observability infrastructure across AWS, Azure, GCP, OCI, and on-premises environments. The role involves developing secure, reproducible deployment pipelines, expanding platform observability, debugging customer and internal deployment issues, responding to incidents, conducting root cause analysis, shaping product roadmaps, and leading architecture reviews and end-to-end infrastructure projects.

Build and evolve cloud-agnostic deployment and observability infrastructure across AWS, Azure, GCP, OCI, and on-premises environments. The role involves developing secure, reproducible deployment pipelines, improving platform observability, debugging production issues, responding to incidents, conducting root cause analysis, shaping the roadmap, leading architecture reviews, and owning infrastructure projects end to end.

Conduct cutting-edge machine learning research involving frontier models, reinforcement learning, post-training, scalable oversight, synthetic data, safety, evaluation, and alignment. Interns develop and improve production ML systems, research new methods, conduct experiments, and may publish or ship work with mentorship from researchers and collaboration across industry and academia.

Design responsive, accessible, high-performing web experiences for Scale's digital properties, primarily scale.com. Create wireframes, prototypes, high-fidelity mockups, reusable design systems, components, and page templates. Partner with engineers and cross-functional stakeholders to communicate design intent, review implementations, evolve the brand, and improve user experiences. Explore emerging AI tools, interaction patterns, analytics, and experimentation to deliver innovative, scalable digital experiences.

Lead Scale’s commercial growth across UK civilian central government, owning pipeline, complex pursuits, framework and tender strategy, deal closure, and delivery alignment. Build relationships with senior stakeholders at departments such as HMRC, DWP, and NHS, while hiring and developing a small public-sector go-to-market team. The role requires experience selling technology or transformation services into UK government and navigating complex procurement environments.

Build and run EMEA GTM onboarding, centralize and maintain a sales knowledge base, deliver recurring enablement programs, and support priority deals by creating reusable playbooks and field-ready materials to help sellers communicate Scale's AI capabilities.

Leads Scale’s global systems integrator partnership strategy, ecosystem expansion, and revenue growth. Responsibilities include selecting and managing GSI partners, negotiating alliance agreements, developing co-sell and joint solutions, enabling certified partner practices, generating sourced and influenced pipeline, and overseeing post-signature execution. The role requires strong relationships with major consultancies, enterprise AI or cloud partnership experience, complex commercial negotiation skills, and the ability to influence cross-functional teams without direct authority.

Leads strategic partnerships with frontier AI labs and foundation model providers. Builds joint go-to-market, co-selling, technology, and commercial partnerships; drives partner-sourced revenue, integrations, joint offerings, and enterprise deployments. Coordinates with sales, product, engineering, research, finance, legal, and marketing teams while tracking the AI model landscape and managing post-signature execution, launches, and business reviews.

Lead public sector customer relationships and delivery of AI/ML agentic workflows for national security missions. Manage account execution, scope use cases with customers, coordinate cross-functional engineering teams, oversee onboarding and implementation, identify operator needs, and ensure customer success. The role requires active TS/SCI clearance, technical fluency, stakeholder management, onsite customer engagement, and at least 25% travel.

Build and deploy production-grade full-stack AI applications for public sector clients. Responsibilities include gathering client feedback, architecting user interfaces and backend APIs, integrating AI models, managing cloud infrastructure, troubleshooting customer environments, and contributing reusable platform features. The role involves collaboration with public sector stakeholders and design, product, and data teams, with travel to client offices for up to two weeks per month.

Design and implement core identity infrastructure for authentication and authorization. Build SSO, MFA, federated identity, and authorization systems (ReBAC/ABAC/RBAC). Create identity governance policies for compliance, integrate IAM with cloud services, and present technical guidance to stakeholders.

Leads systems engineering, integration, testing, and software demonstrations for classified government customers. Translates mission needs into requirements, architecture, test plans, verification matrices, and demo objectives. Coordinates software, data, infrastructure, and third-party components across secure environments, leads technical reviews and customer presentations, manages configuration baselines and technical risk, and supports SCIF and classified-network accreditation activities.

Design and develop shared platform systems, foundational data platforms, cloud infrastructure, orchestration, and software delivery tooling. Partner with stakeholders and cross-functional teams to define and deliver features, improve engineering practices, and communicate technical concepts. The role requires expertise in backend systems, distributed systems, public cloud, containerization, databases, orchestration, and CI/CD, with opportunities to support AI-focused products.

Lead the architecture, development, and operation of a reliable orchestration platform for distributed workflows. Build workflow primitives, APIs, and infrastructure supporting scheduling, retries, state management, observability, security, scalability, and developer experience. Partner with cross-functional teams, establish engineering standards, and drive technically complex projects from design through production operation.

Design, evaluate, and deploy production frontier AI agents that combine LLMs, retrieval, memory, tool use, and traditional ML. Build retrieval and memory systems, multi-agent coordination, evaluation frameworks, and production engineering (reliability, observability, safety). Partner with enterprise customers to translate problems into scalable AI architectures and run experiments to measure business impact.