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We’re partnering with a cutting-edge AI company delivering a flagship MOD-sponsored project. They're seeking a strategic, delivery-focused Project Manager to lead the rollout of an AI-driven capability within Defence ensuring it’s ethically sound, user-centric, and impactful. This is an opportunity to drive real innovation at the intersection of data, AI, and national security, shaping how AI is deployed in complex, secure, and highly operational public sector contexts. What You’ll Be Doing: Leading the end-to-end delivery of an AI-based Defence capability, from discovery to deployment Defining and communicating a clear solution vision, roadmap, and delivery strategy Engaging with internal stakeholders (engineers, data scientists, policy leads) and external partners (vendors, MOD) Managing backlogs, sprint cycles, and stand-ups in an agile delivery environment Embedding ethical, legal, and policy requirements into design and deployment workflows Tracking and communicating delivery progress, risks, and milestones to senior leadership Ensuring full compliance with MOD, data protection, and AI transparency standards

We’re supporting a fast-moving UK-based AI software company delivering a major MOD-backed programme. They're building a mission-critical AI capability for deployment in a secure environment and need platform engineers who thrive in complex, high-stakes settings. You’ll work on the cutting edge of DevSecOps, enabling LLM-backed systems to run without cloud dependencies on uncertain, low-spec hardware in some of the most demanding settings in the world. What You’ll Be Doing: Designing and managing Kubernetes-based infrastructure optimised for portable, classified environments Building secure CI/CD pipelines and deployment tooling for constrained edge environments Downscaling backend and ML services to run on low-resource hardware, sometimes without GPU Managing self-hosted models (e.g., LLMs, transcription systems) for disconnected inference Implementing secure service meshes, logging and monitoring stacks Supporting on-site test events, troubleshooting deployments and connectivity Embedding DevSecOps practices into infrastructure workflows Collaborating with security stakeholders to align with accreditation frameworks

We’re supporting a cutting-edge AI organisation delivering a government-funded mission into the Defence sector. They’re seeking a talented Front-End Engineer to help build and iterate on user interfaces that bring complex machine learning outputs to life - transcription analysis, graph-based risk models, and natural-language interfaces for end users in secure, disconnected environments. This is not your typical dashboard gig. It’s a chance to design and build offline-first, insight-rich tools that support real-world decision-making—where clarity and usability can have operational consequences. What You’ll Be Doing: Designing and developing React-based UIs for: Live and retrospective transcription review Graph navigation and data visualisation Natural language querying Insight generation and reporting Building robust, offline-first interfaces that run in air-gapped, secure environments Creating visualisation components (e.g., networks, timelines) to support scenario analysis Integrating with backend APIs delivering LLM, NLP, and structured data outputs Contributing to internal design systems and building reusable, scalable components Collaborating closely with users and the wider delivery team to evolve features through feedback

We've partnered with a fast-paced UK-based AI software company delivering a major MOD-backed programme. They're developing a mission-critical AI capability for deployment in a secure environment, and they're looking for data scientists who excel in tackling complex challenges. This is high-impact work, constrained by real-world operational, compute, and security boundaries and delivered as part of a small, elite, cross-functional team. What You’ll Be Doing: Designing and implementing NLP pipelines for transcription, topic extraction, and summarisation Developing modular LLM workflows (e.g., RAG, graph-based reasoning) optimised for low-resource deployments Integrating structured and unstructured data: transcripts, policy documents, supply chain models Collaborating with platform engineers to containerise models for edge inference Defining evaluation frameworks using both metrics and human-in-the-loop feedback Supporting secure deployment across classification levels and offline environments Participating in on-site trials, tuning performance and refining capability under pressure Ensuring alignment of AI output with operational decision-making requirements

We’re supporting a fast-moving UK-based AI software company that has secured a significant MOD-backed delivery programme. They are building a mission-critical AI capability to be deployed in a secure, environment and they need backend engineering specialists who thrive in complexity. This is a unique opportunity to build adaptable, containerised backend systems to support real-time inference, transcription pipelines, and natural-language interaction layers, enabling operational decisions in demanding environments. What You’ll Be Doing: Architecting and implementing secure backend services to support AI deployments in classified settings Developing transcription ingestion pipelines and real-time insight generation capabilities Supporting graph and RAG-based inference pipelines using structured and unstructured data Exposing robust APIs for frontend engineers to deliver interactive dashboards and NLP-driven workflows Ensuring system portability via containerisation (Kubernetes, Docker) Collaborating closely with data scientists to integrate self-hosted LLMs and analysis models Working with platform engineers to optimise performance in hardware-constrained deployments

We’re partnered with a rapidly scaling AI company building cutting-edge platforms that help professionals across legal, finance, insurance, and accounting harness the power of AI to work faster, smarter, and with total confidence in the results. This team is on a mission to make AI truly trustworthy - enabling complex, multi-modal data to be transformed into accurate, verifiable outputs with transparent logic for full compliance and auditability. Backed by world-class investors and AI pioneers, they’re building something game changing.

We’re partnering with a leading cyber security consultancy to find a Security GRC Consultant who can play a pivotal role in strengthening their clients’ security posture. This is an exceptional opportunity for a GRC professional who thrives on shaping policy, embedding governance frameworks, and driving alignment between security and business objectives. As a Security GRC Consultant, you’ll act as the crucial link between central security teams and business units, ensuring robust governance, risk management, and compliance practices are not only adopted but embedded across complex environments.

We’re supporting a global investment firm in hiring an experienced Software Developer to join their Platform Storage team - a core part of their infrastructure group responsible for scaling and optimising storage systems that support critical research and trading workloads. This role offers the opportunity to work on innovative, high-impact projects at the intersection of cloud, open-source, and high-performance computing.