Hadean
The Role We are currently seeking a talented and autonomous Forward Deployed AI Engineer to join our optimAI team, reporting to VP Innovation and AI Services. This is a crucial, high-impact role for a self-starter who will be responsible for bringing our most innovative AI concepts to life, from initial prototype to final deployment. The most important skill is a deep curiosity and a scientific mindset, alongside a desire to build incredible things. You will be a hands on generalist, bridging the gap between data science, software engineering, and generative AI. Your primary goal is to work to outcomes, not specific instructions, with a focus on delivering tangible value that delights the customer. The role may require time spent on site with customers to deliver solutions. We love to work with people who have a deeply curious mindset and the ability to work in an agile, fast paced environment. You will monitor technology trends, build solutions, and have the opportunity to experiment and define the future. You must be able to articulate the "why" behind your work in terms of clear customer value, and we want you to develop your opinions and deep insights for the projects you work on. Successful candidates must be eligible for, and able to obtain and maintain, Security Check (SC) level security clearance. Key Responsibilities End-to-End Development: Design, build, and deploy AI-driven solutions, including setting up databases, creating data pipelines, and integrating models into production systems. AI and Machine Learning: Track the latest model releases, compare and evaluate them against customer use cases, explore and deploy the latest AI data architectures. Infrastructure Management: Configure and manage local AI infrastructure, including setting up and optimizing Large Language Models (LLMs) and knowledge bases for local use. Full-Stack Development with AI integration: Create front end prototypes and back end systems for agentic simulations and other AI applications to showcase their potential. Be comfortable working with both manual and AI-generated code. Prompt and Query Engineering: Work alongside our data scientists to develop and test complex queries and prompt engineering techniques to optimize the performance of our AI models. Research and Learning: Capture key learnings, pitfalls, and best practices from your work to inform our overall AI strategy and future roadmap. Collaboration: Work closely with cross functional teams, including product managers, data scientists, and senior leadership, to translate business needs into technical solutions. Project Ownership: Autonomously drive projects and be able to clearly articulate the value of each one to the customer. This requires a self starter who can work to outcomes rather than just following instructions. Travel and On Site Working: Be willing to spend time deployed with customers to solve their most difficult problems using our software and solutions. Skills, Knowledge, and Expertise Education: an undergraduate degree in a technical discipline (computer science, mathematics, physics, etc.) from a top university. Relevant Masters and PhD qualifications will be considered a strong plus. AI/ML Expertise: Hands on experience with a variety of AI tools, frameworks, and concepts, including working with LLMs (Large Language Models), RAG (Retrieval Augmented Generation), and deploying AI solutions. Software Development: Ability to think in terms of abstractions, modularity, and repeatability, as well as work with AI code generation agents. Experience with languages like Rust, C++, or Python is a significant plus. Although desirable, there is no explicit requirement for previous years of experience; we're looking for skills as opposed to time served. Technical Versatility: A strong background as a generalist engineer with demonstrated experience across multiple technical domains. The ability to write great code is more important than proficiency in any specific language. Execution Focus: Able to act fast and decisively to get things done, with a bias towards action. You should be systematic but not rigid, making thoughtful tradeoffs to move projects forward. Customer-Centric Mindset: An ability to understand customer value hypotheses against concepts and translate them into functional prototypes. Deep Curiosity & Humility: A deeply curious mindset is essential. You should also be humble and comfortable saying "I don't know" when appropriate. Communication: Can articulate complex and highly technical ideas clearly. You should be able to communicate effectively internally and externally. Job Benefits We make Hadean an awesome place to work with competitive benefits The option to work from home (Weds/Thurs/Fri) or from our fantastic office in Shoreditch, London (as many days as you like!) Flexible working Private Health Insurance Enhanced pension scheme Enhanced parental leave 3 extra days off at Christmas (on top of our standard 25) L&D budget Regularly scheduled socials Share options A Place For Everyone We believe diversity drives innovation and for that reason we strongly encourage those from all backgrounds to apply for roles at Hadean. We are an equal opportunity employer and aim to build a workforce that is truly representative of the communities in which we operate and our clients. If you need reasonable adjustments at any point in the application or interview process, please speak with the People team who will be happy to support you. If you have a preferred pronoun, please feel free to highlight this during the process (e.g. she/her, he/him, they/them, etc.).
The Role We are currently seeking a talented and autonomous Forward Deployed AI Engineer to join our optimAI team, reporting to VP Innovation and AI Services. This is a crucial, high-impact role for a self-starter who will be responsible for bringing our most innovative AI concepts to life, from initial prototype to final deployment. The most important skill is a deep curiosity and a scientific mindset, alongside a desire to build incredible things. You will be a hands on generalist, bridging the gap between data science, software engineering, and generative AI. Your primary goal is to work to outcomes, not specific instructions, with a focus on delivering tangible value that delights the customer. The role may require time spent on site with customers to deliver solutions. We love to work with people who have a deeply curious mindset and the ability to work in an agile, fast paced environment. You will monitor technology trends, build solutions, and have the opportunity to experiment and define the future. You must be able to articulate the "why" behind your work in terms of clear customer value, and we want you to develop your opinions and deep insights for the projects you work on. Successful candidates must be eligible for, and able to obtain and maintain, Security Check (SC) level security clearance. Key Responsibilities End-to-End Development: Design, build, and deploy AI-driven solutions, including setting up databases, creating data pipelines, and integrating models into production systems. AI and Machine Learning: Track the latest model releases, compare and evaluate them against customer use cases, explore and deploy the latest AI data architectures. Infrastructure Management: Configure and manage local AI infrastructure, including setting up and optimizing Large Language Models (LLMs) and knowledge bases for local use. Full-Stack Development with AI integration: Create front end prototypes and back end systems for agentic simulations and other AI applications to showcase their potential. Be comfortable working with both manual and AI-generated code. Prompt and Query Engineering: Work alongside our data scientists to develop and test complex queries and prompt engineering techniques to optimize the performance of our AI models. Research and Learning: Capture key learnings, pitfalls, and best practices from your work to inform our overall AI strategy and future roadmap. Collaboration: Work closely with cross functional teams, including product managers, data scientists, and senior leadership, to translate business needs into technical solutions. Project Ownership: Autonomously drive projects and be able to clearly articulate the value of each one to the customer. This requires a self starter who can work to outcomes rather than just following instructions. Travel and On Site Working: Be willing to spend time deployed with customers to solve their most difficult problems using our software and solutions. Skills, Knowledge, and Expertise Education: an undergraduate degree in a technical discipline (computer science, mathematics, physics, etc.) from a top university. Relevant Masters and PhD qualifications will be considered a strong plus. AI/ML Expertise: Hands on experience with a variety of AI tools, frameworks, and concepts, including working with LLMs (Large Language Models), RAG (Retrieval Augmented Generation), and deploying AI solutions. Software Development: Ability to think in terms of abstractions, modularity, and repeatability, as well as work with AI code generation agents. Experience with languages like Rust, C++, or Python is a significant plus. Although desirable, there is no explicit requirement for previous years of experience; we're looking for skills as opposed to time served. Technical Versatility: A strong background as a generalist engineer with demonstrated experience across multiple technical domains. The ability to write great code is more important than proficiency in any specific language. Execution Focus: Able to act fast and decisively to get things done, with a bias towards action. You should be systematic but not rigid, making thoughtful tradeoffs to move projects forward. Customer-Centric Mindset: An ability to understand customer value hypotheses against concepts and translate them into functional prototypes. Deep Curiosity & Humility: A deeply curious mindset is essential. You should also be humble and comfortable saying "I don't know" when appropriate. Communication: Can articulate complex and highly technical ideas clearly. You should be able to communicate effectively internally and externally. Job Benefits We make Hadean an awesome place to work with competitive benefits The option to work from home (Weds/Thurs/Fri) or from our fantastic office in Shoreditch, London (as many days as you like!) Flexible working Private Health Insurance Enhanced pension scheme Enhanced parental leave 3 extra days off at Christmas (on top of our standard 25) L&D budget Regularly scheduled socials Share options A Place For Everyone We believe diversity drives innovation and for that reason we strongly encourage those from all backgrounds to apply for roles at Hadean. We are an equal opportunity employer and aim to build a workforce that is truly representative of the communities in which we operate and our clients. If you need reasonable adjustments at any point in the application or interview process, please speak with the People team who will be happy to support you. If you have a preferred pronoun, please feel free to highlight this during the process (e.g. she/her, he/him, they/them, etc.).
Hadean
Hadean is a deep tech company building cutting edge distributed computing technology that powers scalable, secure, and interoperable digital environments. Our platform enables real time simulation and training, mission rehearsal, command & control and digital twin capabilities - transforming the way defence, government agencies and enterprises plan, train, and make decisions. We work at the forefront of defence innovation, collaborating with global partners to deliver next generation capabilities that unlock operational advantage. The Role As a Quality Assurance Engineer at Hadean, you will play a pivotal role in ensuring the quality and reliability of our cutting edge dominAI platform. You will be the primary QA resource for the dominAI product team, responsible for embedding quality practices throughout the development lifecycle, from initial story refinement to final deployment. This role is perfect for a QA generalist who excels in the early stages of development, helping to define and clarify acceptance criteria and crafting comprehensive test plans. You will work in close collaboration with the QA engineer in our other product team. While you will each be responsible for the end to end quality for your respective teams, you will collaborate on cross team initiatives, review each other's work and provide mutual advice. While you will bring a strong focus on test planning and analysis, you will also need a solid foundation in test automation and infrastructure to contribute to our fast paced, automation first environment. Looking ahead, as our engineering team grows, there is a clear opportunity for this role to evolve into a leadership position, shaping the future of our QA team and practices. Applicants should be prepared to attend our office in Shoreditch once a week. Key Responsibilities Champion and implement QA best practices within the dominAI product team. Collaborate with product managers and developers during story refinement to define clear and testable acceptance criteria. Develop and execute comprehensive test plans and test cases. Design, develop, and maintain automated test suites for our distributed systems. Contribute to the testing of our machine learning and LLM based technologies. Work closely with the development team to identify, triage, and resolve defects. Manage and maintain testing environments and infrastructure, leveraging Kubernetes. Drive the continuous improvement of our QA processes and automation frameworks. Collaborate other QA engineers to build a cohesive QA function. Contribute to release planning and risk assessment. Skills required Minimum of 5 years experience as a QA engineer/analyst. Proven experience in a QA role with a strong emphasis on test planning and requirements analysis. Solid experience in test automation for complex, distributed systems. Demonstrable knowledge of testing front end applications (React, TypeScript) and back end services (Node.js). Experience in setting up and managing test environments, particularly with containerization and orchestration (Kubernetes). Experience with QA for machine learning projects, including automated testing for LLM based technology. Deep understanding of the software development lifecycle and agile methodologies. Good understanding of the role of quality in an LLM assisted team. Must be able to obtain and maintain Security Vetted status to at least SC level. Skills desired Experience with performance critical systems. Previous experience in a leadership or mentoring role. Familiarity with CI/CD pipelines and DevOps practices. A passion for working with cutting edge AI and simulation technologies. Experience working in the defence sector. Job Benefits We make Hadean an awesome place to work with competitive benefits. Hybrid working with 1 day per week in our fantastic office in Shoreditch, London. Private Health Insurance. Enhanced pension scheme. Enhanced parental leave. 3 extra days off at Christmas (on top of our standard 25). L&D budget. Regularly scheduled socials. Share options. A Place For Everyone We believe diversity drives innovation and for that reason we strongly encourage those from all backgrounds to apply for roles at Hadean. We are an equal opportunity employer and aim to build a workforce that is truly representative of the communities in which we operate and our clients.
Hadean is a deep tech company building cutting edge distributed computing technology that powers scalable, secure, and interoperable digital environments. Our platform enables real time simulation and training, mission rehearsal, command & control and digital twin capabilities - transforming the way defence, government agencies and enterprises plan, train, and make decisions. We work at the forefront of defence innovation, collaborating with global partners to deliver next generation capabilities that unlock operational advantage. The Role As a Quality Assurance Engineer at Hadean, you will play a pivotal role in ensuring the quality and reliability of our cutting edge dominAI platform. You will be the primary QA resource for the dominAI product team, responsible for embedding quality practices throughout the development lifecycle, from initial story refinement to final deployment. This role is perfect for a QA generalist who excels in the early stages of development, helping to define and clarify acceptance criteria and crafting comprehensive test plans. You will work in close collaboration with the QA engineer in our other product team. While you will each be responsible for the end to end quality for your respective teams, you will collaborate on cross team initiatives, review each other's work and provide mutual advice. While you will bring a strong focus on test planning and analysis, you will also need a solid foundation in test automation and infrastructure to contribute to our fast paced, automation first environment. Looking ahead, as our engineering team grows, there is a clear opportunity for this role to evolve into a leadership position, shaping the future of our QA team and practices. Applicants should be prepared to attend our office in Shoreditch once a week. Key Responsibilities Champion and implement QA best practices within the dominAI product team. Collaborate with product managers and developers during story refinement to define clear and testable acceptance criteria. Develop and execute comprehensive test plans and test cases. Design, develop, and maintain automated test suites for our distributed systems. Contribute to the testing of our machine learning and LLM based technologies. Work closely with the development team to identify, triage, and resolve defects. Manage and maintain testing environments and infrastructure, leveraging Kubernetes. Drive the continuous improvement of our QA processes and automation frameworks. Collaborate other QA engineers to build a cohesive QA function. Contribute to release planning and risk assessment. Skills required Minimum of 5 years experience as a QA engineer/analyst. Proven experience in a QA role with a strong emphasis on test planning and requirements analysis. Solid experience in test automation for complex, distributed systems. Demonstrable knowledge of testing front end applications (React, TypeScript) and back end services (Node.js). Experience in setting up and managing test environments, particularly with containerization and orchestration (Kubernetes). Experience with QA for machine learning projects, including automated testing for LLM based technology. Deep understanding of the software development lifecycle and agile methodologies. Good understanding of the role of quality in an LLM assisted team. Must be able to obtain and maintain Security Vetted status to at least SC level. Skills desired Experience with performance critical systems. Previous experience in a leadership or mentoring role. Familiarity with CI/CD pipelines and DevOps practices. A passion for working with cutting edge AI and simulation technologies. Experience working in the defence sector. Job Benefits We make Hadean an awesome place to work with competitive benefits. Hybrid working with 1 day per week in our fantastic office in Shoreditch, London. Private Health Insurance. Enhanced pension scheme. Enhanced parental leave. 3 extra days off at Christmas (on top of our standard 25). L&D budget. Regularly scheduled socials. Share options. A Place For Everyone We believe diversity drives innovation and for that reason we strongly encourage those from all backgrounds to apply for roles at Hadean. We are an equal opportunity employer and aim to build a workforce that is truly representative of the communities in which we operate and our clients.