Software Engineer, Platform
As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, support end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and resilient cloud infrastructure for international government partners. You will own the production outcome, taking full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. You will ensure full-stack integrity by overseeing the health of the platform, ensuring seamless integration between the AI core and all full-stack components from APIs to UI. Additionally, you will build automated systems to monitor model performance and data drift across geographically dispersed environments, manage the technical lifecycle within diverse regulatory frameworks, lead the response for production issues in mission-critical environments, translate deep technical performance metrics into clear insights for senior international government officials, and partner with Engineering and ML teams to ensure field lessons influence future technical architecture and decisions.
Staff Engineer, Forward Deployed (R5021)
The Software Applications Engineer will provide technical expertise and support to customers during the implementation and use of Shield AI enterprise software products. This role involves working closely with customers to understand their requirements and ensuring successful product integration for AI & Autonomy development. Responsibilities include becoming an expert user of the Hivemind Enterprise Autonomy Software Development Kit; developing AI & Autonomy applications using Hivemind for unmanned platforms across air, sea, land, and space; deploying Hivemind AI infrastructure at customer sites; providing technical training to customers for their autonomy development efforts; assisting customers in integrating Hivemind autonomy to their vehicles and platforms; helping customers debug software and API integration issues; collaborating with the product and engineering teams to address customer feedback and improve products; developing and maintaining technical documentation and training materials; assisting the sales team in answering complex technical queries from customers; and traveling to and staying at customer sites as required, approximately 30% travel.
Researcher, Training - London
Design, prototype and scale up new architectures to improve model intelligence; execute and analyze experiments autonomously and collaboratively; study, debug, and optimize both model performance and computational performance; contribute to training and inference infrastructure.
Medical Review Nurse - Clinical Validation
Design agent systems from first principles including deciding the loop, tools, context strategy, evaluation harness, and system topology. Engineer the context by focusing on prompt construction, context windows, tool surfaces, structured outputs, and citation grounding. Drive evaluation rigor by building evaluations prior to agent construction, diagnosing failures, fixing root causes, and proving improvements through metrics. Use AI tooling such as Claude Code and Codex extensively to plan, scaffold, refactor, and debug work. Become a domain expert in healthcare claims, coding guidelines, and medical records as an integral part of the job.
Associate
As an Associate, you will manage individual work streams to support the successful delivery and implementation of bespoke AI solutions. You will work side-by-side with Government stakeholders to understand critical mission challenges and user needs, conduct open-source analysis to support the development of AI tools, translate complex operational requirements into clear user stories for delivery and engineering teams, and design and test workflows that support user-centric decision-making in high-stakes environments. Additionally, you will collaborate closely with technical teams to ensure projects run smoothly and solutions meet customer needs, and contribute to internal thought leadership, strategy, and capability development across the team.
Software engineer, generative AI (UK)
Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation; build and optimize high-performance, low-latency APIs and microservices to integrate advanced AI models and sophisticated agentic workflows into the core platform; make meaningful system design decisions and own the architecture of core platform components from initial proposal through production deployment; implement and maintain responsive user interfaces using technologies like React and TypeScript; clearly communicate changes, plans, and proposals to cross-functional teams and collaborate with product managers, data scientists, and DevOps engineers; partner with DevOps teams to build continuous deployment, logging, and monitoring systems to ensure top-tier performance, security, and reliability across distributed workloads.
AI Engineer - Data Intelligence
Build and maintain components of Clarium's master data enrichment pipeline, which classifies and enriches every product flowing through the platform; design and own classification and entity resolution workflows that combine deterministic logic and large language models (LLMs) for production data processing; build and operate evaluation harnesses, label sets, and regression suites to measure and improve pipeline quality; write production-level Python and SQL code; analyze complex datasets using statistics and machine learning to surface actionable insights and inform pipeline improvements; proactively audit data for quality issues, diagnose root causes, and implement fixes.
Lead Data Scientist
As a Lead Data Scientist, you are responsible for setting the technical direction for complex, business-critical projects, balancing trade-offs between speed, innovation, and reliability, designing and implementing reliable, production-grade technical solutions with comprehensive documentation, defining project problems and developing clear roadmaps, overseeing end-to-end delivery across multi-disciplinary workstreams, leading technical scoping and feasibility studies for high-value sales and strategic engagements, managing relationships and communications with demanding clients to foster trust and align technical solutions with long-term commercial goals, driving the adoption of best practices and robust technical processes across the wider Data Science craft, and mentoring and developing other data scientists and team members to contribute to the growth and technical excellence of the organisation.
Legal Advisor (US Bar Admitted) - Freelance AI Trainer
Contributors may generate prompts that challenge AI, evaluate AI-generated solutions for correctness, assumptions, and logic, improve AI reasoning to align with first principles and accepted standards, and apply structured scoring criteria to assess multi-step problem solving.
Legal Advisor (US Bar Admitted) - Freelance AI Trainer
Contributors may generate prompts that challenge AI, evaluate AI-generated solutions for correctness, assumptions, and logic, improve AI reasoning to align with first principles and accepted standards, and apply structured scoring criteria to assess multi-step problem solving.
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