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Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centres (Delivery Centres), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centres offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. We offer Regular and frequent promotion and progression opportunities to ensure you can drive and develop your career with us Feedback and checkpoints throughout the year; no one off annual reviews here A multitude of training opportunities from classroom to e-learning, mentoring and coaching programs as well as the chance to gain industry recognized certifications Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks A culture where your ideas for growth and innovation are always welcome Internal recognition programs for peer-to-peer appreciation as well as from manager to employees Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, 1 month paid paternity leave, 16 weeks fully paid maternity leave and an innovative maternity returners scheme More traditional benefits, such as 25 days holiday, a gym discount scheme, online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future. Your role and responsibilities As a Automation Test Specialist at IBM, your technical skills will directly impact the quality of the software we create, and your recommendations and findings will help us make sure we're delivering the best of the best. Come work in an agile environment where you will help each iteration reach the next level. Whether the testing is manual, automated, or cognitive, you hold a key role in releasing the best deliverables to our clients and IBM alike. Required technical and professional expertise Design, develop, and maintain automated test scripts and frameworks using tools such as Selenium, Appium, or other automation testing tools Collaborate with cross-functional teams, including development, QA, and project management, to identify and prioritize testing requirements Develop and execute automated tests to ensure compliance with regulatory requirements and industry standards Analyze test results, identify defects, and report issues to the development team Work closely with the development team to resolve defects and improve the overall quality of the product Develop and maintain test automation frameworks, including test data management and test environment setup Participate in Agile development methodologies, including sprint planning, daily stand-ups, and retrospectives Collaborate with the QA team to develop and maintain testing strategies, test plans, and test cases As an equal opportunities' employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain a UK government security clearance. Preferred technical and professional experience Experience in automation testing, preferably in the public sector or a similar industry Strong experience with automation testing tools such as Selenium, Appium, or other similar tools Proficiency in programming languages such as Java, Python, or C# Experience with Agile development methodologies and version control systems such as Git Strong analytical and problem-solving skills, with the ability to analyze complex issues and develop creative solutions Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams Experience working with cloud-based technologies and DevOps practices is desirable Knowledge of public sector regulations and standards, such as GDPR and ISO 27001, is an advantage Relevant certifications such as: ISTQB (International Software Testing Qualifications Board) Certification CSTE (Certified Software Test Engineer) Certification CTFL (Certified Tester Foundation Level) Certification Selenium Certification Appium Certification AWS Certified Developer - Associate or AWS Certified DevOps Engineer - Professional Azure DevOps Engineer Expert or Azure Developer Associate Google Cloud Certified - Professional Cloud Developer or Google Cloud Certified - Professional Cloud DevOps Engineer Equal Opportunity Employer Statement IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Research Scientist, Open Source Technical Safeguards 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. Societal Resilience Societal Resilience is a multidisciplinary team that studies how advanced AI models can impact people and society. We research the prevalence and severity of high impact societal risks caused by frontier AI deployment, and develop mitigations to address these risks. Core research topics include the use of AI for assisting with criminal activities, preventing critical overreliance on insufficiently robust systems, undermining trust in information, jeopardising psychological wellbeing, or for malicious social engineering. We are interested in both immediate and medium term risks. Why this team matters One emerging risk area we are concerned with is the use of open weight models to drive risks like child sexual abuse material (CSAM) and non consensual intimate imagery (NCII) generation. AISI has previously published research on methods for making open weight models more robust against malicious tampering. In this role, you'll join a strongly collaborative technical research team to help design and develop technical safeguards for open weight models that will reduce the risks of CSAM, NCII, and other risks. We do not expect this role to handle this kind of content directly. About the role This is a research scientist position focused on developing technical safeguards against tampering with open weight models. The role will focus on mitigating AI generated CSAM and NCII by targeting the real world supply chain driving harm: open weight models, adaptation artifacts (LoRAs, guides), and downstream distribution infrastructure (hosting platforms, app stores, operating systems). Our approach prioritises downstream mitigations and actors beyond frontier model developers. This role will build technical tools, protocols, and evidence that platforms and OS/app ecosystems can adopt. This work belongs inside UK government because effective mitigation requires cross agency coordination (Home Office, DSIT, Ofcom), engagement with regulated platforms under the Online Safety Act, and credible evidence to inform policy trade offs across innovation, competition, and child protection. This role will synthesize threat intelligence on how AI generated CSAM and NCII are developed, create scalable screening methodologies that platforms can realistically run, and publish best practice protocols with NGOs to raise the floor across the ecosystem. You'll work closely with engineers and domain experts across AISI, as well as external research collaborators at Home Office, Internet Watch Foundation, and Ofcom. Researchers on this team have substantial freedom to shape independent research agendas, lead collaborations, and initiate projects that push the frontier of what evaluations can reveal. Example Projects Publish a Problem Book framing the technical challenges and research directions for preventing CSAM/NCII misuse across model and hosting layers. Develop threat models for how AI generated CSAM and NCII are created and shared. Design and pilot scalable, automated screening methodologies platforms can run pre publication on uploads (topic general prototypes that avoid exposure to illegal content). Develop approaches for identifying and tracking known or novel CSAM LoRAs to enable platform blocking at upload. Co develop best practice protocols with NGOs (e.g., Thorn/IWF) for hosting, app store, and OS enforcement. This is an individual contributor role with no line management responsibilities. You will report into a senior Research Scientist overseeing our team's misuse workstream. Impact Your work will raise safety standards across hosting and distribution layers, reduce the availability of CSAM/NCII generating artifacts (e.g., LoRAs) on major platforms, inform industry protocols and possibly standards, and provide actionable evidence for government decisions. Crucially, we do not expect this role to handle NCII or CSAM material. Role Requirements We're flexible on the exact profile and expect successful candidates will meet many (but not necessarily all) of the criteria below. Depending on experience, we will consider candidates at either the RS or Senior RS level. At least 3+ years of relevant experience in applied ML, trust & safety tooling, content moderation, security engineering, or adjacent technical fields; we also welcome strong earlier career applicants (2-3 years) with demonstrated impact in open source technical work. Deep familiarity with open weight image/video models (diffusion, LoRA), model hosting ecosystems (e.g., Hugging Face, GitHub), and the limitations of pre deployment safeguards. Strong methodological rigor and creativity; able to design automated, scalable evaluations and detection methods that generalise and avoid reliance on illegal content. Strong Python and ML stack (PyTorch/JAX), data engineering, and systems skills; experience building pipelines and tooling that run at platform scale. Knowledge of fingerprinting and detection approaches (e.g., perceptual hashing, embedding based similarity, behavioural signatures), and their privacy and robustness trade offs. Excellent writing and communication for technical and policy audiences; ability to translate evidence into practical governance guidance. High agency, ethical judgment, and safe working practices for sensitive topics. Commit to work from our London office in Whitehall for parts of the week, with flexibility for remote work. We're looking for full time commitment but are open to part time arrangements. Preferred Experience collaborating with hosting platforms, app stores, OS vendors, or regulators (e.g., Ofcom) on safety by design initiatives. Familiarity with Online Safety Act requirements and platform trust & safety operations; prior work with NGOs such as IWF, Thorn, or STOPNCII.org. Expertise in diffusion models and adaptation techniques (LoRA), model evaluation, and secure tooling for sensitive domains. Experience with privacy preserving computation, metadata poor detection, and standardization efforts (RFCs, protocols). Open source contributions (tools, libraries) and evidence of leading cross sector technical projects. Example backgrounds Senior trust & safety engineer who built automated content integrity pipelines for a large platform; strong OS/Strack record; experience with model hosting ecosystems. Applied ML researcher with a PhD/postdoc in computer vision or ML safety; hands on with diffusion/LoRA; led evaluations and published tooling used by industry. Security/data engineer with 3+ years building scalable detection systems; experience in fingerprinting, hashing, and privacy preserving methods; collaborated with regulators/NGOs. 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 If you're talented and driven, you'll own important problems early. 5 development days per year, an annual L&D budget, and travel support 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 with opportunities for occasional remote work abroad At least 25 days' annual leave, 8 public holidays, and extra team wide breaks Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time) Plus: 27% government funded pension contribution on top of salary, work from home equipment and dental insurance Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 (base plus technical allowance), with 27% employer pension and other benefits on top (details on the "what we offer" section on our careers page). 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. Salary ranges Level 3 - Total Package £65,000 - £75,000 inclusive of a base salary £35,720 plus additional technical talent allowance of between £29,280 - £39,280 . click apply for full job details

Overview Advert Close date: 21st January 2026 Are you a skilled developer with a passion for creating innovative solutions? Join The Crown Estate as a Power Platform Developer and play a key role in designing, developing, and implementing solutions using Microsoft Power Platform, including Power Apps, Power Automate, Microsoft Copilot Studio, and AI Builder. Work closely with business stakeholders to create user-friendly applications and automation workflows that enhance productivity and efficiency across The Crown Estate. Main responsibilities Develop, maintain, and extend Power Platform solutions to meet business needs. Troubleshoot and optimise Power Platform solutions to ensure performance, scalability, and security. Collaborate with business users to gather requirements and translate them into functional solutions. Ensure compliance with best practices, security policies, and governance standards through all stages of the Application Lifecycle Management. Contribute to governance standards and Power Platform best practices in line with our Enterprise Architecture principles. Provide training and documentation for end-users and support teams. Share knowledge within the team and department with a collaborative mindset. Knowledge, Experience, and Skills Proven experience as a Power Apps Developer in both Canvas and Model Driven app development and support. Understanding of Power BI, Azure Logic Apps, Power Pages, Microsoft Dynamics. Expertise in software development and business analysis. Experience with designing and implementing efficient automated workflows using Power Automate. Experience configuring and delivering AI agents using Microsoft Copilot Studio (previously known as Power Virtual Agents). Proficient in integrating all aspects of Power Platform with each other. Comprehensive understanding of different database types: Microsoft Dataverse, SharePoint, SQL. Experience configuring custom connector APIs. Proficiency with HTML, Python, C#, and JavaScript for customisation and advanced functionality. Ability to work independently and collaboratively in an Agile development environment. Microsoft Power Platform Certified; PL-200, PL-400 or equivalent. Any other modern development language is beneficial. Understanding of Power Platform licensing plans is beneficial. Capabilities Connected approach: Excellent business-to-technology translation skills, identifying ways to apply solutions to help customers increase business value and performance. Platform Engineering: Building and supporting self-service tooling such as CI/CD. Solution deployment: Utilising build chains allowing for automated deployment. Continuous Improvement: Demonstrates personal commitment to change through actions and words. Staying on top of industry best practices and trends, as well as changes to technical and compliance requirements. Change leader: Acts as a teacher and change leader to help customers and colleagues learn and understand new concepts. Problem solving: Excellent analytical and conceptual solutionising skills. Customer focused: Confident interacting at all levels, without using technical jargon, exhibiting empathy as well as influence with key stakeholders. Communication: Has excellent interpersonal skills, particularly under pressure. Listens intently and can explain technical information in easy-to-understand language. Proactive: Self-motivated with the ability to motivate others and a customer-focused service attitude. Our Offering / Benefits As well as a competitive salary, pension and performance relatedbonus offering, we have a wealth of benefits available ranging from flexible working; market leading family policies and shopping discounts in the West End,to private healthcare; life andcritical illness cover and 28 days holiday with the option to buy more. We value work life balance and your wellbeing highly,enabling you to be your best self to work. Disability Disclosure We are a proud disability confident employer and operate the offer of interview scheme Disability Confident employer scheme - GOV.UK (). We are happy to offer alternative application methods or formats and can be flexible on our process to enable you to have the best opportunity. If you have any questions about our recruitment process or would like to talk about adjustments, please contact us on

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