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Research Engineer Scientist (Mitigations) - Chem Bio London, UK About the AI Security Institute The AI Security Institute is the world's largest and best funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. About the Chem Bio team AISI's Chem Bio (CB) team conducts research to assess evolving AI capabilities related to science R&D and CB misuse, and the effectiveness of technical safeguards that might mitigate risks arising from those capabilities. The goal of our research is to inform critical decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers. We're a close-knit, unusually interdisciplinary team - made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long standing CB policy specialists and talented generalists - who work closely with other technical and policy teams across government. The team is currently led by Sophie Rose. This role also involves collaborating closely with AISI's Safeguards team, who evaluate the protections on current frontier AI systems and research what measures could better secure them in the future. The Safeguards team is currently led by Xander Davies and advised by Geoffrey Irving and Yarin Gal. Role Responsibilities Lead ambitious research projects to understand the feasibility and effectiveness of potential technical safeguards for AI system's CB capabilities Partner with frontier AI developers and the Safeguards team to rigorously assess and strengthen existing technical mitigations designed to reduce misuse of models' CB capabilities (e.g. strengthening biological and chemical classifiers - see our recent collaborations with Anthropic and OpenAI) Design, build and run evaluations that stress test CB safeguards; analyse results and deliver clear, actionable findings Critically review developers' CB capability assessments, safeguards safety cases, and related policies to raise the bar on safety Translate findings into practical guidance that informs developer practices and decisions Example questions you might tackle How effective is pre training data filtering at reducing harmful CB capabilities while preserving benign performance? What scope of filtering works best, and how does this extend to open weight models? What would an effective differential or structured access regime look like for advanced CB related AI system capabilities? Requirements We are looking for the following skills, experience and attitudes, but a successful candidate will not necessarily need to meet all these criteria. We can be flexible in shaping the role and salary to your background, expertise, and level of experience. Broad knowledge of frontier AI development, safety and governance: training/fine tuning pipelines, evaluations and safeguards, developers' frontier safety frameworks, and technical mitigations for AI-CB risk. Hands on experience building or working deeply with general purpose AI systems and their safety/safeguards stacks. Experience writing production level Python code that is scalable, robust and easy to maintain, ideally in a team. Knowledge of scaffolding, prompting, fine tuning and/or evaluating large language models. Knowledge of math, statistics, and machine learning sufficient to read and critique AI research. Demonstrated research taste and execution: originate high leverage ideas, drive them independently, and ship impactful technical or governance products. Bias to action and ownership; quickly learn unfamiliar domains and prioritise policy relevant technical work over purely academic novelty. High agency and adaptability; communicate clearly and collaborate effectively across disciplines while operating autonomously in a fast paced, evolving environment. Familiarity with relevant datasets, benchmarks, or evaluation methodologies for CB risks from AI. Please note that this role requires Security Clearance (SC), which requires at least 2 years of UK residency, and a willingness to undergo Developed Vetting (DV) if required. Other core requirements Spend at least 9 days per fortnight working with us Work from our office in London (Whitehall) at least 3 days/week Be UK based What We Offer Impact you couldn't have anywhere else Incredibly talented, mission driven and supportive colleagues Direct influence on how frontier AI is governed and deployed globally Work with the Prime Minister's AI Advisor and leading AI companies Opportunity to shape the first & best resourced public interest research team focused on AI security Resources & access Pre release access to multiple frontier models and ample compute Extensive operational support so you can focus on research and ship quickly Work with experts across national security, policy, AI research and adjacent sciences Own important problems early if you're talented and driven 5 days off for learning and development, annual stipends for learning and development and funding for conferences and external collaborations Freedom to pursue research bets without product pressure Opportunities to publish and collaborate externally Life & family Modern central London office (cafes, food court, gym) or option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol Hybrid working, flexibility for occasional remote work abroad and stipends for work from home equipment At least 25 days' annual leave, 8 public holidays, extra team wide breaks and 3 days off for volunteering Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time) On top of your salary, we contribute 28.97% of your base salary to your pension Discounts and benefits for cycling to work, donations and retail/gyms Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 (base plus technical allowance), with 28.97% employer pension and other benefits on top. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. Selection process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. The interview process may vary candidate to candidate, however, you should expect a typical process to include some technical proficiency tests, discussions with a cross section of our team at AISI (including non technical staff), conversations with your team lead. The process will culminate in a conversation with members of the senior team here at AISI. Initial interview Technical take home test Second interview and review of take home test Third interview Final interview with members of the senior team

Role:Full Stack Developer Location: Glasgow & Bournemouth, UKJob Type: Contract & Permanent Fully Onsite Note: No Sponsorship Provided We are seeking a passionate and skilled Software Engineerto join our dynamic team. In this role, you will design, develop, and maintain enterprise-grade applications using Java and Spring Boot, working extensively with Oracle and PostgreSQL databases click apply for full job details

About the role: We are seeking exceptional Forward Deployed Engineers to join our team at the frontier of AI and biology. In this role, you will work hand-in-hand with cutting-edge pharmaceutical and biotechnology companies to solve high-leverage problems by customizing our agentic AI platform, Owkin K, for such customers. You will also help shape the future of our product by distilling insights from the field back into the platform. You will operate at the intersection of these core skill areas: Engineering execution: You translate domain understanding into robust, scalable systems. From rapid prototyping to production-grade deployments, you'll build full-stack AI solutions on top of Owkin K that drive value across the customer's workflow and organizational layers. Customer collaboration: You work side-by-side with pharma and biotechnology customers to uncover needs, validate ideas, and iterate quickly. Your ability to listen, understand, adapt, co-create and communicate is key to driving adoption, ensuring usability, and delivering solutions that stick. Navigating Complex and Regulated Environments: You excel at quickly integrating into intricate client organizations and effectively balancing the demands of diverse stakeholders. Your experience in highly regulated sectors (preferably Pharma, but also Financial Services, Utilities, Telcos, or Defence) means you are skilled at working within constraints and proactively developing fitting and inventive solutions. Domain expertise (Nice-to-have / not must-have):You've had exposure to the Pharma business and/or have good understanding about computational biology, biostatistics, and/or medical imaging, and a good understanding of the typical drug development pipeline. This enables you to deeply understand complex scientific use cases presented by the customers, identify opportunities for impact, and ensure that every solution aligns with real business value. As the current team already has deep expertise in these areas, this is not a strong prerequisite. In particular, you will: Embed deeply with users to solve high-leverage problems by customizing and extending Owkin's agentic platform K; Design, build, and ship tailored solutions on top of Owkin K, guiding them from conception through final delivery; Drive rapid prototyping and iteration to validate solutions early and frequently; Balance scope, speed, and quality, adapting plans to ensure successful delivery; Communicate clearly across technical and non-technical stakeholders to align expectations; Collaborate with Customer Success Managers, Product and Engineering teams to guarantee effective delivery, client satisfaction, and sustained adoption of Owkin's product; Turn proven patterns into reusable, scalable components, tools, and playbooks; Share feedback from the field with Product and Engineering teams to shape the roadmap About you Above all, we seek curious individuals who are driven to learn through hands on experience and who embrace a strong bias for action. In addition to this, the following skills are required: Fluency in Python, with experience in software development best practices including testing, CI/CD pipelines, and code reviews; Experience working with LLMs; Experience working with APIs with frameworks such as FastAPI or Flask; Ability to simplify complexity and make fast, sound decisions under time pressure; Communicate effectively across diverse audiences: technical teams, product managers and non technical stakeholders. Adapt language and detail to ensure clarity and alignment; Thrive in fast evolving environments by staying flexible, embracing ambiguity, and proactively driving progress despite incomplete information; Experience with agentic workflows; Familiarity with cloud platforms; Understanding of the drug development pipeline and related scientific workflows; Good understanding of biostatistics, computational biology, and/or medical imaging What we offer Friendly and informal working environment Opportunity to work with an international team with high technical and scientific backgrounds Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status, or disability.