About the company - the company's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role the company's Safeguards organization builds the systems that keep Claude safe to use at scale. The Account Compromise team owns one specific slice of that work: protecting the people and organizations who use Claude from losing control of their accounts, and preventing compromised accounts and credentials from being used to abuse our platform. Account takeover, credential stuffing, phishing-driven session theft, leaked API keys, and resold access all cause real harm - to the customers whose accounts are hijacked, and to the wider ecosystem when stolen access is used to route abusive traffic through legitimate accounts. We are looking for a staff+ engineer to set the technical direction for this work. You will own the architecture of how we detect, contain, and remediate account compromise across Claude and the Claude Developer Platform, making the design decisions that other engineers and teams build on top of. You will move between deep technical work and adversarial problem-solving: threat modelling how attackers will adapt, scoping multi-month projects from ambiguous starting points, and leading complex live investigations when they escalate. This is a hard problem space. Attackers iterate quickly, the signals separating a compromised account from an unusual but legitimate one are subtle, and every defence carries a cost to real users if it fires incorrectly. You will be building the playbook, and the judgement calls about where to draw those lines will largely be yours to make and defend. You will operate with high autonomy - owning detection coverage and incident leadership, driving alignment with Security, Product, and Policy teams, and shaping how the company approaches this problem globally rather than executing against someone else's roadmap. Key responsibilities Set the technical direction and own the architecture for account compromise detection, response, and remediation across Claude and the Claude Developer Platform Independently scope and lead complex, multi-month engineering projects from an ambiguous starting point through to production systems that operate reliably under adversarial pressure Build and evolve detection systems that identify account takeover, credential abuse, and compromised API keys in near real time Design automated response flows that cut off attacker access while minimising disruption to legitimate users Lead investigations into significant compromise incidents end to end, then convert what you learn into durable, automated defences Threat model how attackers are likely to adapt, and prioritise the team's work against that view rather than only against incidents already observed Drive cross-organisational alignment on account security direction with Security, Product, Support, Policy and other partners. Define how the team measures success and hold the work to those measures Set technical standards for the domain and raise the bar for other engineers through code review, design review, and mentorship Surface patterns from compromise cases to research and product teams so that protections improve upstream Minimum qualifications 10 + years experience designing, building, and operating detection, anti-fraud, anti-abuse, or security systems in production A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects Experience making architectural decisions in an adversarial domain that other engineers and teams then build on Proficiency in Python and SQL, with strong software engineering fundamentals and hands-on coding ability Experience leading investigations into account-based abuse or security incidents, and translating findings into automated detection Ability to reason rigorously about large behavioural or telemetry datasets, and to distinguish attacker behaviour from unusual but legitimate use Strong written communication and a track record of driving alignment across multiple teams and stakeholders Sound judgement about the tradeoff between stopping bad actors and disrupting legitimate users, and the ability to explain and defend where you have drawn that line Preferred qualifications Significant engineering experience in trust and safety, platform integrity, fraud, or detection and response, including time as a technical lead or mentor Deep familiarity with account attack techniques Experience with authentication and identity systems, including OAuth, single sign-on, multi-factor authentication, device binding, and risk-based authentication Experience applying machine learning to fraud or abuse detection, alongside a clear sense of when simpler rules-based approaches are the better choice Experience with cloud data tooling such as BigQuery, Spark, dbt, Airflow or similar Experience building tooling for operational or investigative teams, and partnering closely with the people who use it Interest in AI safety, and in the specific ways account compromise intersects with model misuse Representative projects - Design the architecture for real-time login risk scoring, and get agreement across Security, Product, and Safeguards on where step-up authentication should and should not fire Design detection for compromised API keys, together with security controls to limit exposure Rebuild product features to regain access quickly when customers get compromised Write the threat model that sets the team's roadmap for the next year, and bring the rest of the organisation along with it Instrument a false positive review loop that measures how often the team's defences affect legitimate users, and drive that number down The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 - £390,000 GBP Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that the company recruiters only contact you email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of the company. Be cautious of emails from other domains. Legitimate the company recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit the directly for confirmed position openings. How we're different - We're different We believe that the highest-impact AI research will be big science. At the company we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to the company, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute . click apply for full job details
Aug 24, 2026
Full time
About the company - the company's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role the company's Safeguards organization builds the systems that keep Claude safe to use at scale. The Account Compromise team owns one specific slice of that work: protecting the people and organizations who use Claude from losing control of their accounts, and preventing compromised accounts and credentials from being used to abuse our platform. Account takeover, credential stuffing, phishing-driven session theft, leaked API keys, and resold access all cause real harm - to the customers whose accounts are hijacked, and to the wider ecosystem when stolen access is used to route abusive traffic through legitimate accounts. We are looking for a staff+ engineer to set the technical direction for this work. You will own the architecture of how we detect, contain, and remediate account compromise across Claude and the Claude Developer Platform, making the design decisions that other engineers and teams build on top of. You will move between deep technical work and adversarial problem-solving: threat modelling how attackers will adapt, scoping multi-month projects from ambiguous starting points, and leading complex live investigations when they escalate. This is a hard problem space. Attackers iterate quickly, the signals separating a compromised account from an unusual but legitimate one are subtle, and every defence carries a cost to real users if it fires incorrectly. You will be building the playbook, and the judgement calls about where to draw those lines will largely be yours to make and defend. You will operate with high autonomy - owning detection coverage and incident leadership, driving alignment with Security, Product, and Policy teams, and shaping how the company approaches this problem globally rather than executing against someone else's roadmap. Key responsibilities Set the technical direction and own the architecture for account compromise detection, response, and remediation across Claude and the Claude Developer Platform Independently scope and lead complex, multi-month engineering projects from an ambiguous starting point through to production systems that operate reliably under adversarial pressure Build and evolve detection systems that identify account takeover, credential abuse, and compromised API keys in near real time Design automated response flows that cut off attacker access while minimising disruption to legitimate users Lead investigations into significant compromise incidents end to end, then convert what you learn into durable, automated defences Threat model how attackers are likely to adapt, and prioritise the team's work against that view rather than only against incidents already observed Drive cross-organisational alignment on account security direction with Security, Product, Support, Policy and other partners. Define how the team measures success and hold the work to those measures Set technical standards for the domain and raise the bar for other engineers through code review, design review, and mentorship Surface patterns from compromise cases to research and product teams so that protections improve upstream Minimum qualifications 10 + years experience designing, building, and operating detection, anti-fraud, anti-abuse, or security systems in production A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects Experience making architectural decisions in an adversarial domain that other engineers and teams then build on Proficiency in Python and SQL, with strong software engineering fundamentals and hands-on coding ability Experience leading investigations into account-based abuse or security incidents, and translating findings into automated detection Ability to reason rigorously about large behavioural or telemetry datasets, and to distinguish attacker behaviour from unusual but legitimate use Strong written communication and a track record of driving alignment across multiple teams and stakeholders Sound judgement about the tradeoff between stopping bad actors and disrupting legitimate users, and the ability to explain and defend where you have drawn that line Preferred qualifications Significant engineering experience in trust and safety, platform integrity, fraud, or detection and response, including time as a technical lead or mentor Deep familiarity with account attack techniques Experience with authentication and identity systems, including OAuth, single sign-on, multi-factor authentication, device binding, and risk-based authentication Experience applying machine learning to fraud or abuse detection, alongside a clear sense of when simpler rules-based approaches are the better choice Experience with cloud data tooling such as BigQuery, Spark, dbt, Airflow or similar Experience building tooling for operational or investigative teams, and partnering closely with the people who use it Interest in AI safety, and in the specific ways account compromise intersects with model misuse Representative projects - Design the architecture for real-time login risk scoring, and get agreement across Security, Product, and Safeguards on where step-up authentication should and should not fire Design detection for compromised API keys, together with security controls to limit exposure Rebuild product features to regain access quickly when customers get compromised Write the threat model that sets the team's roadmap for the next year, and bring the rest of the organisation along with it Instrument a false positive review loop that measures how often the team's defences affect legitimate users, and drive that number down The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 - £390,000 GBP Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that the company recruiters only contact you email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of the company. Be cautious of emails from other domains. Legitimate the company recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit the directly for confirmed position openings. How we're different - We're different We believe that the highest-impact AI research will be big science. At the company we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to the company, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute . click apply for full job details
Great Ormond Street Hospital for Children NHS Foundation Trust
Great Ormond Street Hospital for Children NHS Foundation Trust Chief Digital & Information Officer Salary: Competitive Location: London Great Ormond Street Hospital (GOSH) is one of the world's leading children's hospitals, renowned for delivering specialist care to children and young people with rare, complex and life-limiting conditions. Caring for more than 300,000 patients each year and partnering with the UCL Great Ormond Street Institute of Child Health, GOSH combines exceptional clinical care, pioneering research and world-leading innovation to transform outcomes for children across the UK and internationally. From genomics and advanced therapies to digital innovation through our globally recognised DRIVE Unit, GOSH is helping shape the future of paediatric healthcare and setting new standards for what is possible. We are now seeking an outstanding Chief Digital & Information Officer (CDIO) to join our leadership team at a pivotal moment in the Trust's evolution. Reporting to the Chief Operating Officer, the CDIO will lead our Digital, Data, ICT and AI functions, ensuring technology, data and innovation are embedded as core enablers of clinical excellence, research, operational performance and service transformation. This is a unique opportunity to help realise our ambition to be at the forefront of digital healthcare and become a leading adopter of emerging technologies, including Agentic AI, whilst translating innovation into meaningful and measurable improvements for patients, families and staff. We are looking for a proven senior leader with significant experience of leading large-scale digital, data and technology transformation within complex organisations. You will bring a strong track record in developing high-performing teams, delivering change through influence and partnership, and creating cultures where people are empowered, supported and inspired to achieve their full potential. Deep expertise in digital strategy, information governance, cyber security and data-driven improvement will be essential, alongside a sophisticated understanding of AI governance, ethical deployment, assurance and risk management. Above all, you will be a values-led leader whose approach reflects GOSH's recently refreshed Values - recognising that collaboration, respect and curiosity are fundamental to sustained success. World class care requires world class leadership: this is an exceptional opportunity to join GOSH and lead our Digital, data and AI teams at one of the most exciting, stretching, periods in our evolution. If you have the vision, credibility and leadership capability to build on an already outstanding digital and innovation platform, challenge established thinking and help shape the future of child health on a national and global stage, we would be delighted to hear from you. For more information on the role and details of how to apply, please download the candidate information pack which can be found by clicking apply on website. For a confidential discussion please contact our recruitment partners at GatenbySanderson: Laura Cubillo-Aparicio (Researcher) T: (0) Serena Dobson (Senior Consultant) T: Melanie Shearer (Partner) T: Closing date for applications: 09:00 Friday 11th September Preliminary Interviews: w/c 21st September Final Panel Interviews: w/c 12th October
Aug 24, 2026
Full time
Great Ormond Street Hospital for Children NHS Foundation Trust Chief Digital & Information Officer Salary: Competitive Location: London Great Ormond Street Hospital (GOSH) is one of the world's leading children's hospitals, renowned for delivering specialist care to children and young people with rare, complex and life-limiting conditions. Caring for more than 300,000 patients each year and partnering with the UCL Great Ormond Street Institute of Child Health, GOSH combines exceptional clinical care, pioneering research and world-leading innovation to transform outcomes for children across the UK and internationally. From genomics and advanced therapies to digital innovation through our globally recognised DRIVE Unit, GOSH is helping shape the future of paediatric healthcare and setting new standards for what is possible. We are now seeking an outstanding Chief Digital & Information Officer (CDIO) to join our leadership team at a pivotal moment in the Trust's evolution. Reporting to the Chief Operating Officer, the CDIO will lead our Digital, Data, ICT and AI functions, ensuring technology, data and innovation are embedded as core enablers of clinical excellence, research, operational performance and service transformation. This is a unique opportunity to help realise our ambition to be at the forefront of digital healthcare and become a leading adopter of emerging technologies, including Agentic AI, whilst translating innovation into meaningful and measurable improvements for patients, families and staff. We are looking for a proven senior leader with significant experience of leading large-scale digital, data and technology transformation within complex organisations. You will bring a strong track record in developing high-performing teams, delivering change through influence and partnership, and creating cultures where people are empowered, supported and inspired to achieve their full potential. Deep expertise in digital strategy, information governance, cyber security and data-driven improvement will be essential, alongside a sophisticated understanding of AI governance, ethical deployment, assurance and risk management. Above all, you will be a values-led leader whose approach reflects GOSH's recently refreshed Values - recognising that collaboration, respect and curiosity are fundamental to sustained success. World class care requires world class leadership: this is an exceptional opportunity to join GOSH and lead our Digital, data and AI teams at one of the most exciting, stretching, periods in our evolution. If you have the vision, credibility and leadership capability to build on an already outstanding digital and innovation platform, challenge established thinking and help shape the future of child health on a national and global stage, we would be delighted to hear from you. For more information on the role and details of how to apply, please download the candidate information pack which can be found by clicking apply on website. For a confidential discussion please contact our recruitment partners at GatenbySanderson: Laura Cubillo-Aparicio (Researcher) T: (0) Serena Dobson (Senior Consultant) T: Melanie Shearer (Partner) T: Closing date for applications: 09:00 Friday 11th September Preliminary Interviews: w/c 21st September Final Panel Interviews: w/c 12th October
What Youll Be Doing Step into a senior position at the forefront of telecom security research. In this role, you wont just explore vulnerabilitiesyoull define how they are discovered, understood, and mitigated across complex telecom ecosystems. You will lead high-impact research initiatives, guide technical direction, and mentor others while continuing to push the boundaries of your own expertise click apply for full job details
Aug 23, 2026
Full time
What Youll Be Doing Step into a senior position at the forefront of telecom security research. In this role, you wont just explore vulnerabilitiesyoull define how they are discovered, understood, and mitigated across complex telecom ecosystems. You will lead high-impact research initiatives, guide technical direction, and mentor others while continuing to push the boundaries of your own expertise click apply for full job details
Vulnerability Researcher £85000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Operational Cyber Vulnerability Researcher Salary: Up to £75,000 + Excellent Benefits Location: Gloucester, Manchester or London (Onsite) Security Clearance: Must be eligible for Developed Vetting (DV) I'm working with a leading technology organisation delivering some of the UK' click apply for full job details
Aug 23, 2026
Full time
Vulnerability Researcher £85000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Operational Cyber Vulnerability Researcher Salary: Up to £75,000 + Excellent Benefits Location: Gloucester, Manchester or London (Onsite) Security Clearance: Must be eligible for Developed Vetting (DV) I'm working with a leading technology organisation delivering some of the UK' click apply for full job details
Cyber Assurance & Risk Analyst Location: IWM London Salary : £42,500 to £45,000 per annum Vacancy Type: Permanent, Full Time (36hours per week) Closing Date: 8th of September 2026 At Imperial War Museums, we're driven by a shared purpose: helping people understand conflict and its impact on people's lives, from the First World War through to the present day. Our collections contain millions of items, stories and digital assets that preserve some of the most important moments in modern history. You'll join a collaborative team who work together to protect and make these collections accessible for future generations. It's a unique opportunity to combine cyber security expertise with meaningful work that supports one of the world's leading museums of conflict. Why This Role Matters Cyber security plays a vital role in protecting IWM's systems, services and information assets from an evolving threat landscape. As Cyber Assurance & Risk Analyst, you'll help strengthen the organisation's cyber resilience by ensuring compliance with government and industry security standards, embedding secure-by-design principles into projects and managing cyber risks across our supplier landscape. By delivering key assurance activities, you'll help improve organisational cyber capability and ensure IWM continues to safeguard the services relied upon by colleagues, visitors, researchers and stakeholders. What You'll Be Doing Coordinate and manage IWM's Cyber Essentials certification, including evidence gathering, submission management and remediation tracking. Lead GovAssure submissions through control mapping, evidence collation and stakeholder engagement. Manage compliance against Civil Aviation Authority (CAA) cyber security requirements and other relevant standards. Maintain assurance documentation and support continuous compliance against recognised cyber security frameworks. Embed secure-by-design principles into technology and digital projects from initiation through to delivery. Review proposed solutions and provide assurance that appropriate security controls are implemented before go-live. Own and operate IWM's third-party cyber risk management platform, supporting supplier onboarding, assessments and ongoing monitoring. Identify, assess, manage and escalate cyber risks across the supply chain, tracking remediation activities where required. Produce assurance, compliance and cyber risk reports for governance boards and senior stakeholders. Support cyber governance activities, risk management processes and the maintenance of accurate cyber risk records. Contribute to the development of cyber security policies, standards, controls and continuous improvement initiatives. Provide guidance on cyber compliance matters and work collaboratively with colleagues, suppliers and external partners to support assurance objectives. Support financial administration activities, including purchase orders, invoice processing and departmental administration where required. What We're Looking For We'd love to hear from you if you have: Experience of cyber security governance, assurance, compliance or risk management activities. Knowledge of recognised cyber security frameworks and standards such as Cyber Essentials, NCSC guidance, ISO 27001 or equivalent. Experience managing compliance evidence, audit activities or regulatory submissions. Experience of supplier or third-party cyber risk assessment and management processes. Strong analytical skills with the ability to identify risks and communicate findings clearly to a range of stakeholders. Experience producing reports, dashboards or management information for governance forums and senior audiences. Benefits The benefits listed below are discretionary and IWM reserves the right, with due notice, to vary or withdraw them at any time. Annual Leave: You'll have 25 days of annual leave, with public holidays on top. After 3 years, this increases to 27 days and after 5 years, you ll get 30 days Company Group Pension Plan: Includes competitive employer contributions to your pension starting at 7% to a maximum of 12%. Enhanced Maternity and Paternity Benefits: Celebrate life s milestones with confidence, knowing that our policies support growing families. IWM4me: Tailor your benefits to your unique needs through IWM4me. Access health, protection, and lifestyle benefits at corporate rates, ensuring your holistic well-being. Free Sanitary Products: We prioritise your comfort by providing free sanitary products across all our sites. Retail Discounts: 25% off IWM Cafes, 20% discount in on-site shops, Benefits hub offering retail discounts to several high street shops and MyActive discounts for health and wellbeing based retail discounts Free Entry to IWM Air Shows: Witness the thrill of vintage aircraft at our air shows. To Apply If you feel you are a suitable candidate and would like to work for Imperial War Museum, please click apply to be redirected to our website to complete your application.
Aug 22, 2026
Full time
Cyber Assurance & Risk Analyst Location: IWM London Salary : £42,500 to £45,000 per annum Vacancy Type: Permanent, Full Time (36hours per week) Closing Date: 8th of September 2026 At Imperial War Museums, we're driven by a shared purpose: helping people understand conflict and its impact on people's lives, from the First World War through to the present day. Our collections contain millions of items, stories and digital assets that preserve some of the most important moments in modern history. You'll join a collaborative team who work together to protect and make these collections accessible for future generations. It's a unique opportunity to combine cyber security expertise with meaningful work that supports one of the world's leading museums of conflict. Why This Role Matters Cyber security plays a vital role in protecting IWM's systems, services and information assets from an evolving threat landscape. As Cyber Assurance & Risk Analyst, you'll help strengthen the organisation's cyber resilience by ensuring compliance with government and industry security standards, embedding secure-by-design principles into projects and managing cyber risks across our supplier landscape. By delivering key assurance activities, you'll help improve organisational cyber capability and ensure IWM continues to safeguard the services relied upon by colleagues, visitors, researchers and stakeholders. What You'll Be Doing Coordinate and manage IWM's Cyber Essentials certification, including evidence gathering, submission management and remediation tracking. Lead GovAssure submissions through control mapping, evidence collation and stakeholder engagement. Manage compliance against Civil Aviation Authority (CAA) cyber security requirements and other relevant standards. Maintain assurance documentation and support continuous compliance against recognised cyber security frameworks. Embed secure-by-design principles into technology and digital projects from initiation through to delivery. Review proposed solutions and provide assurance that appropriate security controls are implemented before go-live. Own and operate IWM's third-party cyber risk management platform, supporting supplier onboarding, assessments and ongoing monitoring. Identify, assess, manage and escalate cyber risks across the supply chain, tracking remediation activities where required. Produce assurance, compliance and cyber risk reports for governance boards and senior stakeholders. Support cyber governance activities, risk management processes and the maintenance of accurate cyber risk records. Contribute to the development of cyber security policies, standards, controls and continuous improvement initiatives. Provide guidance on cyber compliance matters and work collaboratively with colleagues, suppliers and external partners to support assurance objectives. Support financial administration activities, including purchase orders, invoice processing and departmental administration where required. What We're Looking For We'd love to hear from you if you have: Experience of cyber security governance, assurance, compliance or risk management activities. Knowledge of recognised cyber security frameworks and standards such as Cyber Essentials, NCSC guidance, ISO 27001 or equivalent. Experience managing compliance evidence, audit activities or regulatory submissions. Experience of supplier or third-party cyber risk assessment and management processes. Strong analytical skills with the ability to identify risks and communicate findings clearly to a range of stakeholders. Experience producing reports, dashboards or management information for governance forums and senior audiences. Benefits The benefits listed below are discretionary and IWM reserves the right, with due notice, to vary or withdraw them at any time. Annual Leave: You'll have 25 days of annual leave, with public holidays on top. After 3 years, this increases to 27 days and after 5 years, you ll get 30 days Company Group Pension Plan: Includes competitive employer contributions to your pension starting at 7% to a maximum of 12%. Enhanced Maternity and Paternity Benefits: Celebrate life s milestones with confidence, knowing that our policies support growing families. IWM4me: Tailor your benefits to your unique needs through IWM4me. Access health, protection, and lifestyle benefits at corporate rates, ensuring your holistic well-being. Free Sanitary Products: We prioritise your comfort by providing free sanitary products across all our sites. Retail Discounts: 25% off IWM Cafes, 20% discount in on-site shops, Benefits hub offering retail discounts to several high street shops and MyActive discounts for health and wellbeing based retail discounts Free Entry to IWM Air Shows: Witness the thrill of vintage aircraft at our air shows. To Apply If you feel you are a suitable candidate and would like to work for Imperial War Museum, please click apply to be redirected to our website to complete your application.
Founded in 2011, Fasanara is a global asset manager and technology platform managing approximately USD 6 billion in assets under management as of July 2026, investing across private and public markets on behalf of institutional investors globally. Alongside our established Fintech Lending franchise, Fasanara is building Open Quant: an institutional, technology-led multi-manager platform designed to give exceptional quantitative investment teams access to shared capital, infrastructure, execution, risk management and operational support. Fasanara Open Quant is a fully quantitative multi-strategy, multi-manager hedge fund that aims to generate superior returns through a unique portfolio of investment algorithms. The fund tracks the performance of independent early-stage quant trading teams globally, using their collective intelligence to harvest persistent, uncorrelated returns. The fund has been growing rapidly and achieving strong returns. Our Culture We are strong believers in meritocracy, and we seek to reward people based on impact, judgement, and excellence in execution. We keep bureaucracy to a minimum, so decisions are made quickly and people have real ownership. Our environment is collaborative, inclusive, entrepreneurial, and built on trust. We set ambitious goals, work hard in a focused and sustainable way, and place a strong emphasis on teamwork, integrity, and quality in everything we do. We know we are only as good as our people, so we are deliberately building the firm around exceptional talent and diverse perspectives, and we support our leaders to grow, influence, and shape the future of the business. The Role We are seeking a Quant Technology Lead to lead the design, architecture, delivery, and continuous evolution of the technology platform powering Fasanara Open Quant. Reporting directly to the Head of Technology, the successful candidate will be fully dedicated to the Open Quant business, working closely with the Head of Quant Division and the Quant investment team. As the primary technology partner to the business, they will translate investment, portfolio, risk, and operational requirements into scalable production technology. This is a highly hands-on technical leadership role. The successful candidate will design and build core platform capabilities while working directly with portfolio managers, quantitative researchers, traders, risk professionals, operations teams, and engineers. The ideal candidate combines deep software engineering and architecture expertise with a strong understanding of financial markets and investment technology. As Open Quant continues to scale, they will play a central role in defining its technical roadmap and developing the dedicated Quant Technology function. Responsibilities Platform Architecture & Engineering Lead the design, architecture, development, and evolution of the Open Quant technology platform. Build scalable, secure, resilient, cloud-native systems supporting a growing multi-manager quantitative investment business. Define the technical roadmap for core investment, portfolio, risk, data, and operational systems. Design robust APIs, data models, and integration frameworks. Establish strong engineering standards across security, scalability, reliability, and operational excellence. Act as a hands-on technical lead while helping develop the wider Quant Technology function. Investment, Portfolio & Risk Technology Design and develop institutional-quality investment and portfolio management technology. Build portfolio aggregation, investment analytics, and cross-manager risk monitoring capabilities. Develop portfolio, risk, and analytics capabilities on top of a centralised Position Ledger. Build APIs and data services providing investment, portfolio, and risk information to Portfolio Management, Risk, and Operations. Ensure investment data and analytics are accurate, reproducible, and auditable. Data & Integrations Lead the development of a central Position Ledger integrating broker positions into a standardised and auditable data model. Build and maintain security master and pricing datasets. Design scalable market, portfolio, reference, and operational data architecture. Build resilient data pipelines supporting quantitative research, portfolio management, analytics, and production monitoring. Integrate market data providers, prime brokers, custodians, fund administrators, and other external systems into the platform. AI & Automation Drive the practical application of AI across software development and investment workflows. Identify opportunities to automate investment and operational processes while maintaining appropriate controls and auditability. Evaluate emerging technologies that can improve platform performance, scalability, and engineering productivity. Technology Leadership & Partnership Act as the primary technology partner to the Open Quant business. Work closely with portfolio managers and quantitative researchers to translate investment requirements into robust technical solutions. Partner with Risk, Operations, and central Technology teams to ensure platform capabilities meet business requirements. Own and drive the Quant Technology roadmap jointly with the Quant and Technology leadership teams. Essential Significant software engineering and solution architecture experience, with a track record of building scalable production systems. Proven experience delivering technology for investment, trading, portfolio management, risk, or related institutional financial services platforms. Strong understanding of financial markets, investment workflows, and quantitative investment technology. Strong practical knowledge of cloud-native architectures, distributed systems, APIs, data platforms, databases, and production infrastructure. Strong hands-on software engineering capability alongside architecture and technical leadership experience. Experience designing secure and resilient systems where data accuracy, auditability, and operational reliability are critical. Ability to translate complex investment and business requirements into scalable technical solutions. Strong understanding of data architecture and integration across multiple internal and external data sources. Excellent stakeholder management and communication skills. Entrepreneurial mindset with a high degree of ownership, accountability, and attention to detail. Strong interest in innovation and the practical application of AI to technology and investment workflows. Desirable Experience within a multi-manager hedge fund, quantitative investment platform, systematic asset manager, proprietary trading firm, or comparable institutional environment. Experience building shared investment platforms supporting multiple portfolio managers or investment teams. Strong knowledge of financial instruments, portfolio construction, risk management, execution, and investment fund operations. Experience integrating prime brokers, fund administrators, custodians, market data providers, or portfolio management systems. Experience building investment and risk analytics. Experience helping build or lead technology and engineering teams in a growing environment. Our benefits include: Performance-related Bonus Scheme Private Medical & Dental Insurance through Bupa (including children's cover) Life Insurance, Income Protection & Critical Illness Cover Employee Assistance Programme (EAP) Salary sacrifice pension with Hargreaves Lansdown (currently matched up to 10%) Enhanced Maternity & Paternity Leave Emergency Parental Leave, Emergency Childcare & Nursery Benefit Cycle to Work Scheme Charity Giving through CAF Annual Wellbeing Budget Team socials, annual Summer & Christmas parties,and other events throughout the year
Aug 22, 2026
Full time
Founded in 2011, Fasanara is a global asset manager and technology platform managing approximately USD 6 billion in assets under management as of July 2026, investing across private and public markets on behalf of institutional investors globally. Alongside our established Fintech Lending franchise, Fasanara is building Open Quant: an institutional, technology-led multi-manager platform designed to give exceptional quantitative investment teams access to shared capital, infrastructure, execution, risk management and operational support. Fasanara Open Quant is a fully quantitative multi-strategy, multi-manager hedge fund that aims to generate superior returns through a unique portfolio of investment algorithms. The fund tracks the performance of independent early-stage quant trading teams globally, using their collective intelligence to harvest persistent, uncorrelated returns. The fund has been growing rapidly and achieving strong returns. Our Culture We are strong believers in meritocracy, and we seek to reward people based on impact, judgement, and excellence in execution. We keep bureaucracy to a minimum, so decisions are made quickly and people have real ownership. Our environment is collaborative, inclusive, entrepreneurial, and built on trust. We set ambitious goals, work hard in a focused and sustainable way, and place a strong emphasis on teamwork, integrity, and quality in everything we do. We know we are only as good as our people, so we are deliberately building the firm around exceptional talent and diverse perspectives, and we support our leaders to grow, influence, and shape the future of the business. The Role We are seeking a Quant Technology Lead to lead the design, architecture, delivery, and continuous evolution of the technology platform powering Fasanara Open Quant. Reporting directly to the Head of Technology, the successful candidate will be fully dedicated to the Open Quant business, working closely with the Head of Quant Division and the Quant investment team. As the primary technology partner to the business, they will translate investment, portfolio, risk, and operational requirements into scalable production technology. This is a highly hands-on technical leadership role. The successful candidate will design and build core platform capabilities while working directly with portfolio managers, quantitative researchers, traders, risk professionals, operations teams, and engineers. The ideal candidate combines deep software engineering and architecture expertise with a strong understanding of financial markets and investment technology. As Open Quant continues to scale, they will play a central role in defining its technical roadmap and developing the dedicated Quant Technology function. Responsibilities Platform Architecture & Engineering Lead the design, architecture, development, and evolution of the Open Quant technology platform. Build scalable, secure, resilient, cloud-native systems supporting a growing multi-manager quantitative investment business. Define the technical roadmap for core investment, portfolio, risk, data, and operational systems. Design robust APIs, data models, and integration frameworks. Establish strong engineering standards across security, scalability, reliability, and operational excellence. Act as a hands-on technical lead while helping develop the wider Quant Technology function. Investment, Portfolio & Risk Technology Design and develop institutional-quality investment and portfolio management technology. Build portfolio aggregation, investment analytics, and cross-manager risk monitoring capabilities. Develop portfolio, risk, and analytics capabilities on top of a centralised Position Ledger. Build APIs and data services providing investment, portfolio, and risk information to Portfolio Management, Risk, and Operations. Ensure investment data and analytics are accurate, reproducible, and auditable. Data & Integrations Lead the development of a central Position Ledger integrating broker positions into a standardised and auditable data model. Build and maintain security master and pricing datasets. Design scalable market, portfolio, reference, and operational data architecture. Build resilient data pipelines supporting quantitative research, portfolio management, analytics, and production monitoring. Integrate market data providers, prime brokers, custodians, fund administrators, and other external systems into the platform. AI & Automation Drive the practical application of AI across software development and investment workflows. Identify opportunities to automate investment and operational processes while maintaining appropriate controls and auditability. Evaluate emerging technologies that can improve platform performance, scalability, and engineering productivity. Technology Leadership & Partnership Act as the primary technology partner to the Open Quant business. Work closely with portfolio managers and quantitative researchers to translate investment requirements into robust technical solutions. Partner with Risk, Operations, and central Technology teams to ensure platform capabilities meet business requirements. Own and drive the Quant Technology roadmap jointly with the Quant and Technology leadership teams. Essential Significant software engineering and solution architecture experience, with a track record of building scalable production systems. Proven experience delivering technology for investment, trading, portfolio management, risk, or related institutional financial services platforms. Strong understanding of financial markets, investment workflows, and quantitative investment technology. Strong practical knowledge of cloud-native architectures, distributed systems, APIs, data platforms, databases, and production infrastructure. Strong hands-on software engineering capability alongside architecture and technical leadership experience. Experience designing secure and resilient systems where data accuracy, auditability, and operational reliability are critical. Ability to translate complex investment and business requirements into scalable technical solutions. Strong understanding of data architecture and integration across multiple internal and external data sources. Excellent stakeholder management and communication skills. Entrepreneurial mindset with a high degree of ownership, accountability, and attention to detail. Strong interest in innovation and the practical application of AI to technology and investment workflows. Desirable Experience within a multi-manager hedge fund, quantitative investment platform, systematic asset manager, proprietary trading firm, or comparable institutional environment. Experience building shared investment platforms supporting multiple portfolio managers or investment teams. Strong knowledge of financial instruments, portfolio construction, risk management, execution, and investment fund operations. Experience integrating prime brokers, fund administrators, custodians, market data providers, or portfolio management systems. Experience building investment and risk analytics. Experience helping build or lead technology and engineering teams in a growing environment. Our benefits include: Performance-related Bonus Scheme Private Medical & Dental Insurance through Bupa (including children's cover) Life Insurance, Income Protection & Critical Illness Cover Employee Assistance Programme (EAP) Salary sacrifice pension with Hargreaves Lansdown (currently matched up to 10%) Enhanced Maternity & Paternity Leave Emergency Parental Leave, Emergency Childcare & Nursery Benefit Cycle to Work Scheme Charity Giving through CAF Annual Wellbeing Budget Team socials, annual Summer & Christmas parties,and other events throughout the year
Founding Security Engineer (Application & Infrastructure) Build the shield that makes Enterprise Superintelligence trustworthy London / Remote • Full-time • Pavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding Security Engineer, you will help establish the security foundations for Pavo's agentic and knowledge systems. You help secure autonomous systems that write code, execute tools, and interact with sensitive enterprise data. This role sits at the bleeding edge of AI Security, wherein you harden the infrastructure that allows our knowledge and agentic systems to work safely inside Fortune 500 environments. You will build the shield that makes Enterprise Superintelligence trustworthy. What You'll Build You will own the holistic security posture of the Pavo platform, spanning Application, AI, and Infrastructure security: AI & Application Security: Lead the defense against LLM-specific vulnerabilities (Prompt Injection, Insecure Output Handling) and standard web threats (OWASP Top 10). Implement "Guardrails" that sanitize agent inputs/outputs and conduct continuous red-teaming of our agent behaviors. Secure SDLC & DevSecOps: Embed security into our CI/CD pipelines without slowing down our high-velocity engineering team. Integrate automated SAST/DAST scanning, dependency management (SCA), and secret detection into our daily workflow. Cloud & Infrastructure Hardening: Work closely with Systems Engineers to secure our Kubernetes clusters and compute environments. Design strict IAM policies (least privilege for agents) and ensure network isolation so that agent execution environments are impenetrable. Vulnerability Management: Own the lifecycle of vulnerability detection and remediation. Manage bug bounty programs, coordinate third-party pentests, and ensure our open-source dependencies (and the code our agents generate) are secure. Enterprise Trust: Help design features that give our customers confidence, such as audit logging, data residency controls, and rigorous access governance. What We Are Looking For We are looking for a security practitioner who is a builder at heart-someone who would rather ship a secure fix than write a policy document. Core Qualifications Experience: 5+ years of experience in Security Engineering, with a strong focus on Application Security and Cloud Security. AppSec Proficiency: Deep understanding of modern web vulnerabilities (CSRF, SSRF, XSS) and experience utilizing tools like Burp Suite, Semgrep, or CodeQL. Review code in Python or Go and spot logic flaws that scanners miss. AI Security Curiosity: Understand the unique risks of LLMs. Familiar with the OWASP Top 10 for LLMs and have explored defenses against prompt injection and data exfiltration in agentic systems. Cloud Native Security: Hands-on experience securing AWS/GCP environments and Kubernetes clusters. Knowledge of container security (capabilities, seccomp, namespaces) and how to secure microservices architectures. Offensive Mindset: Experience with Red Teaming or CTFs. Think like an attacker to uncover weaknesses in business logic and agent reasoning. Nice to Have Experience securing execution sandboxes (gVisor, Firecracker, or similar). Background in "Purple Teaming"-collaborating with developers to fix what you break. Contributions to the open-source security community or research on AI safety. Knowledge of compliance frameworks (SOC 2, ISO 27001) in an early-stage startup context. Why Join Us Founding Equity: Significant ownership in a company tackling the next layer of the AI stack. Frontier Security: Define the security standards for a new category of software-autonomous enterprise agents. World-Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Aug 22, 2026
Full time
Founding Security Engineer (Application & Infrastructure) Build the shield that makes Enterprise Superintelligence trustworthy London / Remote • Full-time • Pavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding Security Engineer, you will help establish the security foundations for Pavo's agentic and knowledge systems. You help secure autonomous systems that write code, execute tools, and interact with sensitive enterprise data. This role sits at the bleeding edge of AI Security, wherein you harden the infrastructure that allows our knowledge and agentic systems to work safely inside Fortune 500 environments. You will build the shield that makes Enterprise Superintelligence trustworthy. What You'll Build You will own the holistic security posture of the Pavo platform, spanning Application, AI, and Infrastructure security: AI & Application Security: Lead the defense against LLM-specific vulnerabilities (Prompt Injection, Insecure Output Handling) and standard web threats (OWASP Top 10). Implement "Guardrails" that sanitize agent inputs/outputs and conduct continuous red-teaming of our agent behaviors. Secure SDLC & DevSecOps: Embed security into our CI/CD pipelines without slowing down our high-velocity engineering team. Integrate automated SAST/DAST scanning, dependency management (SCA), and secret detection into our daily workflow. Cloud & Infrastructure Hardening: Work closely with Systems Engineers to secure our Kubernetes clusters and compute environments. Design strict IAM policies (least privilege for agents) and ensure network isolation so that agent execution environments are impenetrable. Vulnerability Management: Own the lifecycle of vulnerability detection and remediation. Manage bug bounty programs, coordinate third-party pentests, and ensure our open-source dependencies (and the code our agents generate) are secure. Enterprise Trust: Help design features that give our customers confidence, such as audit logging, data residency controls, and rigorous access governance. What We Are Looking For We are looking for a security practitioner who is a builder at heart-someone who would rather ship a secure fix than write a policy document. Core Qualifications Experience: 5+ years of experience in Security Engineering, with a strong focus on Application Security and Cloud Security. AppSec Proficiency: Deep understanding of modern web vulnerabilities (CSRF, SSRF, XSS) and experience utilizing tools like Burp Suite, Semgrep, or CodeQL. Review code in Python or Go and spot logic flaws that scanners miss. AI Security Curiosity: Understand the unique risks of LLMs. Familiar with the OWASP Top 10 for LLMs and have explored defenses against prompt injection and data exfiltration in agentic systems. Cloud Native Security: Hands-on experience securing AWS/GCP environments and Kubernetes clusters. Knowledge of container security (capabilities, seccomp, namespaces) and how to secure microservices architectures. Offensive Mindset: Experience with Red Teaming or CTFs. Think like an attacker to uncover weaknesses in business logic and agent reasoning. Nice to Have Experience securing execution sandboxes (gVisor, Firecracker, or similar). Background in "Purple Teaming"-collaborating with developers to fix what you break. Contributions to the open-source security community or research on AI safety. Knowledge of compliance frameworks (SOC 2, ISO 27001) in an early-stage startup context. Why Join Us Founding Equity: Significant ownership in a company tackling the next layer of the AI stack. Frontier Security: Define the security standards for a new category of software-autonomous enterprise agents. World-Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Salary for UKTL specialist roles are benchmarked against the external market and may include additional compensation to recognise in-demand technical expertise. Dive Deep. Make an Impact. Build Secure Systems. Youre driven by curiosity and a desire to understand how things really work and how they can be made more secure click apply for full job details
Aug 22, 2026
Full time
Salary for UKTL specialist roles are benchmarked against the external market and may include additional compensation to recognise in-demand technical expertise. Dive Deep. Make an Impact. Build Secure Systems. Youre driven by curiosity and a desire to understand how things really work and how they can be made more secure click apply for full job details
Job Role: Operational Cyber Vulnerability Researcher Location: Gloucester or Manchester The Opportunity Join a highly specialised cyber team working at the forefront of National Security, tackling some of the UK's most complex cyber challenges. This is an exceptional opportunity for experienced Vulnerability Researchers and Reverse Engineers to work on mission-critical projects across a diverse range click apply for full job details
Aug 22, 2026
Full time
Job Role: Operational Cyber Vulnerability Researcher Location: Gloucester or Manchester The Opportunity Join a highly specialised cyber team working at the forefront of National Security, tackling some of the UK's most complex cyber challenges. This is an exceptional opportunity for experienced Vulnerability Researchers and Reverse Engineers to work on mission-critical projects across a diverse range click apply for full job details
hackajob is partnering directly with CoreTech Security to hire for this role. CoreTech Security's mission is to deliver high-end security research and bespoke solutions to some of the most interesting cyber security clients in the UK. We have built a world-class team of high-assurance software engineers and researchers who are passionate about pushing the boundaries of security innovation click apply for full job details
Aug 21, 2026
Full time
hackajob is partnering directly with CoreTech Security to hire for this role. CoreTech Security's mission is to deliver high-end security research and bespoke solutions to some of the most interesting cyber security clients in the UK. We have built a world-class team of high-assurance software engineers and researchers who are passionate about pushing the boundaries of security innovation click apply for full job details
Research Scientist (Biological Models), 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. The deadline for applying to this role is 6 th September 2026 , end of day, anywhere on Earth. About the team AISI's Chem Bio (CB) team conducts technical 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'rea 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 policyspecialistsand talented generalists-who work closely with other technical and policy teams across government. Over the next twelve months, CB will hugely scale the range and complexity of the evaluations and research programmes it carries out, and engage more deeply with partners in major AI labs, the wider biotech and pharma ecosystem and security services than it ever has before. About the role AI capabilities in the life sciences are advancing faster than at any point in history. Foundation models can now design novel proteins and interpret genomic sequences. Specialised biological models can both identify drug targets and design the compound to target them. These are extraordinary tools for scientific progress but also have the potential for harm if misused. This role is for a technical researcher who can contribute strong ML and computational biology expertise to that mission. You will sit within a group of research scientists, subject matter experts and engineers, leading empirical research into the risk-relevant capabilities of specialised biological models, including biomolecular structure and generative-design systems. You will translate ambiguous questions about what these models could enable into rigorous research questions and experimental designs, assess whether in-silico performance translates into meaningful experimental outcomes, and investigate whether technical safeguards can reliably limit potentially dangerous capabilities. It is a role at the interface of machine learning, computational biology and biosecurity: shaping which capabilities we investigate, how we measure their real-world significance, and how we translate our findings into decisions by government and other trusted partners. What you will own Evaluate the risk-relevant capabilities of specialised biological models: Translate important but ambiguous questions about the capabilities of state-of-the-art biological models (including biomolecular structure and generative design models) into measurable research questions and experimental designs. Connect computational and experimental evidence: Use published experimental results, biological datasets, expert review and, where appropriate, external wet-lab collaborations to assess whether in-silico performance translates into experimentally relevant outcomes. Identify feasibility and effectiveness of technical safeguards: Lead research into the feasibility and effectiveness of technical safeguards for specialised biological models, including access controls, model-level interventions, monitoring, detection and capability-limiting approaches. Track the technical frontier: Identify important developments in biological AI and determine which new models, methods or capabilities AISI should investigate. Help shape the team's research agenda as the field evolves. Communicate to decision-makers: Produce clear technical reports, briefings and recommendations for senior decision-makers within government and other trusted partners, translating a complex technical evidence base into actionable conclusions that inform wider cross-Government and industry efforts in this space. Collaborate across expert communities: Work closely with research scientists, engineers, biosecurity experts, policy teams, AI safety specialists and external scientific partners to ensure AISI's evaluations are technically rigorous and policy-relevant . Role requirements Deep, hands-onexperience working with biological machine learning models. You haveworked directly with biological AI models,such as protein design models,generative,structure prediction or scientific foundation models. Strong machine-learning background and applied engineering skills. You understand modern machine-learning methods and have practical experience training, fine-tuning, adapting or evaluating models using PyTorch or similar. You can write robust, readable and maintainable Python code. Computational biology expertise . You have sufficient understanding of molecular biology, biochemistry, structural biology, protein science, genomics or a related area to reason seriously about biological data, model outputs and the scientific validity of an evaluation. Strong empirical judgement. You know how to design experiments to answer pre-specified research questions , identify relevant baselines/controls for these experiments and critically interpret scientific res ults . You can identify limitations in public benchmarks, evidential gaps and cases where results are being over- or under-interpreted. Mission orientation. You are motivated to conduct technical research with direct public-interest and policy impact. You understand that work at the intersection of AI and biology may carry dual-use sensitivity and can operate with appropriate discretion . Collaborative interdisciplinary communication . You can explain complex findings and their uncertainty across audiences, from researchers, engineers, subject-matter experts, policy and security stakeholders , without blurring the bottom line, and work effectively with people from very different technical backgrounds. Strong candidates may also have: AI safety framework familiarity . U nderstanding of AI safety frameworks, model evaluations, responsible capability assessment, release governance or other approaches to managing risks from advanced AI systems. Relevant institutional experience. Experience working in or with organisations such as Dstl, MOD, DHSC, UKHSA, academia, public health bodies, frontier AI labs, biotech companies, national security organisations or equivalent institutions in other settings. Existing security clearance. Existing SC or DV clearance AI-enabled research experience. Experience using AI tools to accelerate research, analyse biological data, support literature review, develop benchmarks or improve scientific workflows. Deep domain expertise in a relevant area of the life sciences. Specialist knowledge in one or more fields such as protein design, structural biology, virology, immunology, genomics or epidemiology, giving you an additional lens through which to assess the significance of model capabilities and outputs. Other core requirements You should be able to spend at least 9 days per fortnight working with us. You should be willing to work from our office in London at least 3 days/week. You should be UK-based. Security Clearance Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required-we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. You will also be required to undergo Developed Vetting (DV). DV typically requires a longer period of UK residency (around 10 years). Employment is conditional on obtaining and maintaining the required clearance(s). More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK. Selection process Applications are reviewed on a rolling basis. We encourage you to apply early. Screening interview - Lightweight conversation on relevant skills,motivationand fit. Technical take home test - A take-home exercise designed to test your applied subject matterexpertiseand judgement in context. You will receive this after the screening interview. Technical interview - Discussion of your work test with a current AISI SME. Behavioural interview - Deeper dive on non-technical skills needed to succeed in the role: communication skills,judgementand team dynamics. Senior leadership interview (30 min) - Final conversation with AISI senior leadership. What We Offer Impactyoucouldn'thave anywhere else Incredibly talented, mission-drivenand 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. . click apply for full job details
Aug 21, 2026
Full time
Research Scientist (Biological Models), 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. The deadline for applying to this role is 6 th September 2026 , end of day, anywhere on Earth. About the team AISI's Chem Bio (CB) team conducts technical 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'rea 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 policyspecialistsand talented generalists-who work closely with other technical and policy teams across government. Over the next twelve months, CB will hugely scale the range and complexity of the evaluations and research programmes it carries out, and engage more deeply with partners in major AI labs, the wider biotech and pharma ecosystem and security services than it ever has before. About the role AI capabilities in the life sciences are advancing faster than at any point in history. Foundation models can now design novel proteins and interpret genomic sequences. Specialised biological models can both identify drug targets and design the compound to target them. These are extraordinary tools for scientific progress but also have the potential for harm if misused. This role is for a technical researcher who can contribute strong ML and computational biology expertise to that mission. You will sit within a group of research scientists, subject matter experts and engineers, leading empirical research into the risk-relevant capabilities of specialised biological models, including biomolecular structure and generative-design systems. You will translate ambiguous questions about what these models could enable into rigorous research questions and experimental designs, assess whether in-silico performance translates into meaningful experimental outcomes, and investigate whether technical safeguards can reliably limit potentially dangerous capabilities. It is a role at the interface of machine learning, computational biology and biosecurity: shaping which capabilities we investigate, how we measure their real-world significance, and how we translate our findings into decisions by government and other trusted partners. What you will own Evaluate the risk-relevant capabilities of specialised biological models: Translate important but ambiguous questions about the capabilities of state-of-the-art biological models (including biomolecular structure and generative design models) into measurable research questions and experimental designs. Connect computational and experimental evidence: Use published experimental results, biological datasets, expert review and, where appropriate, external wet-lab collaborations to assess whether in-silico performance translates into experimentally relevant outcomes. Identify feasibility and effectiveness of technical safeguards: Lead research into the feasibility and effectiveness of technical safeguards for specialised biological models, including access controls, model-level interventions, monitoring, detection and capability-limiting approaches. Track the technical frontier: Identify important developments in biological AI and determine which new models, methods or capabilities AISI should investigate. Help shape the team's research agenda as the field evolves. Communicate to decision-makers: Produce clear technical reports, briefings and recommendations for senior decision-makers within government and other trusted partners, translating a complex technical evidence base into actionable conclusions that inform wider cross-Government and industry efforts in this space. Collaborate across expert communities: Work closely with research scientists, engineers, biosecurity experts, policy teams, AI safety specialists and external scientific partners to ensure AISI's evaluations are technically rigorous and policy-relevant . Role requirements Deep, hands-onexperience working with biological machine learning models. You haveworked directly with biological AI models,such as protein design models,generative,structure prediction or scientific foundation models. Strong machine-learning background and applied engineering skills. You understand modern machine-learning methods and have practical experience training, fine-tuning, adapting or evaluating models using PyTorch or similar. You can write robust, readable and maintainable Python code. Computational biology expertise . You have sufficient understanding of molecular biology, biochemistry, structural biology, protein science, genomics or a related area to reason seriously about biological data, model outputs and the scientific validity of an evaluation. Strong empirical judgement. You know how to design experiments to answer pre-specified research questions , identify relevant baselines/controls for these experiments and critically interpret scientific res ults . You can identify limitations in public benchmarks, evidential gaps and cases where results are being over- or under-interpreted. Mission orientation. You are motivated to conduct technical research with direct public-interest and policy impact. You understand that work at the intersection of AI and biology may carry dual-use sensitivity and can operate with appropriate discretion . Collaborative interdisciplinary communication . You can explain complex findings and their uncertainty across audiences, from researchers, engineers, subject-matter experts, policy and security stakeholders , without blurring the bottom line, and work effectively with people from very different technical backgrounds. Strong candidates may also have: AI safety framework familiarity . U nderstanding of AI safety frameworks, model evaluations, responsible capability assessment, release governance or other approaches to managing risks from advanced AI systems. Relevant institutional experience. Experience working in or with organisations such as Dstl, MOD, DHSC, UKHSA, academia, public health bodies, frontier AI labs, biotech companies, national security organisations or equivalent institutions in other settings. Existing security clearance. Existing SC or DV clearance AI-enabled research experience. Experience using AI tools to accelerate research, analyse biological data, support literature review, develop benchmarks or improve scientific workflows. Deep domain expertise in a relevant area of the life sciences. Specialist knowledge in one or more fields such as protein design, structural biology, virology, immunology, genomics or epidemiology, giving you an additional lens through which to assess the significance of model capabilities and outputs. Other core requirements You should be able to spend at least 9 days per fortnight working with us. You should be willing to work from our office in London at least 3 days/week. You should be UK-based. Security Clearance Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required-we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. You will also be required to undergo Developed Vetting (DV). DV typically requires a longer period of UK residency (around 10 years). Employment is conditional on obtaining and maintaining the required clearance(s). More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK. Selection process Applications are reviewed on a rolling basis. We encourage you to apply early. Screening interview - Lightweight conversation on relevant skills,motivationand fit. Technical take home test - A take-home exercise designed to test your applied subject matterexpertiseand judgement in context. You will receive this after the screening interview. Technical interview - Discussion of your work test with a current AISI SME. Behavioural interview - Deeper dive on non-technical skills needed to succeed in the role: communication skills,judgementand team dynamics. Senior leadership interview (30 min) - Final conversation with AISI senior leadership. What We Offer Impactyoucouldn'thave anywhere else Incredibly talented, mission-drivenand 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. . click apply for full job details
Vulnerability Researcher £60,000-70,000 GBP Bonus, Pension, Benefits Onsite WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Vulnerability Researcher Location: Gloucester Salary: £60,000 - £75,000 + Excellent Benefits Company Overview Our client is a leading technology and defence organisation delivering advanced security capabilities across some of the UK's most complex and missi click apply for full job details
Aug 21, 2026
Full time
Vulnerability Researcher £60,000-70,000 GBP Bonus, Pension, Benefits Onsite WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Vulnerability Researcher Location: Gloucester Salary: £60,000 - £75,000 + Excellent Benefits Company Overview Our client is a leading technology and defence organisation delivering advanced security capabilities across some of the UK's most complex and missi click apply for full job details
Technical Product Manager - GenAI Platforms - Agentic Infrastructure - CTO Office Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's CTO Office is the future looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation of infrastructure, hardware, and applications that power the Bloomberg Terminal and beyond. Our work spans AI platforms, cloud infrastructure, open source stewardship, and generative AI innovation. For over a decade, Bloomberg has been at the forefront of applying AI, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms, which enable teams to rapidly and robustly build, deploy, evaluate, govern, and operate AI systems at scale. As Bloomberg expands its investment in Generative and Agentic AI, we are building the trustworthy infrastructure that will power the next generation of intelligent products across Terminal, Enterprise, and client facing experiences. What's In It For You We are looking for a Technical Product Manager to define and execute the strategy for our Agentic Infrastructure, the connective tissue and foundational layer that enables AI agents, tools, and applications to operate safely, securely, and at scale across Bloomberg. This role sits at the intersection of our AI Platforms, cloud infrastructure, security, and distributed systems. You will shape the capabilities that govern how AI systems authenticate, communicate, access resources, execute actions, and interact with Bloomberg infrastructure, ensuring that as we scale agentic systems, we do so with trust, reliability, and enterprise grade governance by design. You will partner closely with Engineering, Product, Security, CTO, and Risk stakeholders to build an interoperable control plane, establishing a trustworthy foundation for the next generation of AI powered products. Why This Matters Agentic systems introduce new infrastructure challenges beyond traditional software and machine learning platforms. As AI systems become capable of autonomous action, tool use, multi agent collaboration, and long running workflows, organizations require new infrastructure for identity, authorization, execution environments, networking, governance, observability, and lifecycle management. We'll trust you to Define and drive the vision for Bloomberg's Agentic Infrastructure, with a focus on agentic control planes Translate emerging open source & industry standards into production ready, enterprise grade infrastructure capabilities Collaborate across Bloomberg's AI platform teams to integrate agentic capabilities that support experimentation and production deployment Develop platform strategies for agentic identity, access control, sandboxing, network, and connectivity architecture Work directly with AI product teams to understand real world usage and ensure infrastructure solutions support and advance the AI application lifecycle Partner deeply with engineering to deliver scalable, resilient system architecture Anticipate how agentic systems will evolve, and proactively shape the roadmap to support future capabilities You'll Need to Have 5+ years of experience in technical product management, ideally within AI, platform, cloud, security, or infrastructure domains Experience working with AI or GenAI systems, with LLMs, generative AI, agent frameworks and orchestration systems, and their production requirements Experience building or operating large scale platform infrastructure used by internal or external developers Strong understanding of identity, authentication/authorization, enterprise security architectures Strong understanding of distributed systems, service to service communication, API Gateways, Kubernetes, cloud native architectures Hands on experience working with emerging agentic protocols (MCP, A2A) and interoperability patterns Proven ability to work cross functionally with engineering, security, product, and platform organizations Excellent communication and storytelling skills, with the ability to articulate a technical vision and influence across diverse teams We'd Love to See A degree in Computer Science, Engineering, or prior equivalent architecture experience Experience building control planes, policy engines, governance frameworks Exposure to enterprise governance, compliance, or regulated environments Contributions to open source or developer ecosystems Why Join Us You will play a pivotal role in shaping Bloomberg's AI future by building the infrastructure foundations that enable trusted, scalable, and production ready AI systems. This is an opportunity to help define how agentic systems operate at enterprise scale, influencing platform strategy across identity, security, networking, governance, cloud infrastructure, and interoperability. You will work alongside world class engineers, architects, researchers, and product leaders while helping establish the trusted infrastructure foundation that powers Bloomberg's next generation of AI innovation. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Aug 20, 2026
Full time
Technical Product Manager - GenAI Platforms - Agentic Infrastructure - CTO Office Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's CTO Office is the future looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation of infrastructure, hardware, and applications that power the Bloomberg Terminal and beyond. Our work spans AI platforms, cloud infrastructure, open source stewardship, and generative AI innovation. For over a decade, Bloomberg has been at the forefront of applying AI, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms, which enable teams to rapidly and robustly build, deploy, evaluate, govern, and operate AI systems at scale. As Bloomberg expands its investment in Generative and Agentic AI, we are building the trustworthy infrastructure that will power the next generation of intelligent products across Terminal, Enterprise, and client facing experiences. What's In It For You We are looking for a Technical Product Manager to define and execute the strategy for our Agentic Infrastructure, the connective tissue and foundational layer that enables AI agents, tools, and applications to operate safely, securely, and at scale across Bloomberg. This role sits at the intersection of our AI Platforms, cloud infrastructure, security, and distributed systems. You will shape the capabilities that govern how AI systems authenticate, communicate, access resources, execute actions, and interact with Bloomberg infrastructure, ensuring that as we scale agentic systems, we do so with trust, reliability, and enterprise grade governance by design. You will partner closely with Engineering, Product, Security, CTO, and Risk stakeholders to build an interoperable control plane, establishing a trustworthy foundation for the next generation of AI powered products. Why This Matters Agentic systems introduce new infrastructure challenges beyond traditional software and machine learning platforms. As AI systems become capable of autonomous action, tool use, multi agent collaboration, and long running workflows, organizations require new infrastructure for identity, authorization, execution environments, networking, governance, observability, and lifecycle management. We'll trust you to Define and drive the vision for Bloomberg's Agentic Infrastructure, with a focus on agentic control planes Translate emerging open source & industry standards into production ready, enterprise grade infrastructure capabilities Collaborate across Bloomberg's AI platform teams to integrate agentic capabilities that support experimentation and production deployment Develop platform strategies for agentic identity, access control, sandboxing, network, and connectivity architecture Work directly with AI product teams to understand real world usage and ensure infrastructure solutions support and advance the AI application lifecycle Partner deeply with engineering to deliver scalable, resilient system architecture Anticipate how agentic systems will evolve, and proactively shape the roadmap to support future capabilities You'll Need to Have 5+ years of experience in technical product management, ideally within AI, platform, cloud, security, or infrastructure domains Experience working with AI or GenAI systems, with LLMs, generative AI, agent frameworks and orchestration systems, and their production requirements Experience building or operating large scale platform infrastructure used by internal or external developers Strong understanding of identity, authentication/authorization, enterprise security architectures Strong understanding of distributed systems, service to service communication, API Gateways, Kubernetes, cloud native architectures Hands on experience working with emerging agentic protocols (MCP, A2A) and interoperability patterns Proven ability to work cross functionally with engineering, security, product, and platform organizations Excellent communication and storytelling skills, with the ability to articulate a technical vision and influence across diverse teams We'd Love to See A degree in Computer Science, Engineering, or prior equivalent architecture experience Experience building control planes, policy engines, governance frameworks Exposure to enterprise governance, compliance, or regulated environments Contributions to open source or developer ecosystems Why Join Us You will play a pivotal role in shaping Bloomberg's AI future by building the infrastructure foundations that enable trusted, scalable, and production ready AI systems. This is an opportunity to help define how agentic systems operate at enterprise scale, influencing platform strategy across identity, security, networking, governance, cloud infrastructure, and interoperability. You will work alongside world class engineers, architects, researchers, and product leaders while helping establish the trusted infrastructure foundation that powers Bloomberg's next generation of AI innovation. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
AI Security Institute in London is seeking a Research Scientist (Virologist) to join the Chem-Bio (CB) team. You will design and interpret evaluations of frontier AI systems for virology-relevant tasks, translating complex risk questions into rigorous empirical evidence and advising on safeguards before informing policy. The role blends virology, AI evaluation and biosecurity with government collaboration. You will work alongside researchers, engineers and policy experts to ensure evaluations
Aug 20, 2026
Full time
AI Security Institute in London is seeking a Research Scientist (Virologist) to join the Chem-Bio (CB) team. You will design and interpret evaluations of frontier AI systems for virology-relevant tasks, translating complex risk questions into rigorous empirical evidence and advising on safeguards before informing policy. The role blends virology, AI evaluation and biosecurity with government collaboration. You will work alongside researchers, engineers and policy experts to ensure evaluations
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovatorsto tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Generative Biology Institute: Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. The vision of the GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting-edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose made facility in the Oxford Science Park, currently under construction. Once complete, this state of the art facility will include more than 40,000 m of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Your Role: At EIT we are seeking an experienced and detail orientated Bio ML Scientist to develop AI and machine learning systems that drive GBI's scientific aims, working alongside researchers and technical staff to address key questions in biological design and discovery. The post holder will work with multiple data modalities with a focus on biological system modelling and optimisation. This is an exceptional opportunity to join GBI's Technology Hub on ML Engineering, a fast growing team at the forefront of AI/ML and synthetic biology with access to exceptional facilities and expertise. We are looking for a colleague who thrives in a team and cares deeply about biological questions, hypotheses, and a biology centric approach to AI/ML engineering. The role requires expertise in machine learning applied to biological design or discovery, and prior exposure to collaboration with wet lab scientists. We are particularly interested in candidates with experience in combining AI/ML and genome scale metabolic models. Our team ethos is based on mutual learning, strong peer to peer support, and a deep sense of scientific curiosity and ambition. Key Responsibilities: Research, design and build AI and machine learning systems to address GBI's research challenges in synthetic biology, genome design, and molecular evolution. Lead and contribute to collaborative projects with other MLEng team members, GBI researchers and staff, relevant colleagues across EIT, and external collaborators. Work closely with GBI scientists in co creation of research projects and development of fit for purpose computational solutions. Provide expert computational biology knowhow to GBI researchers and scope novel avenues of research. Interact with the Bioinformatics and Scientific Compute platform teams to support the development of GBI data flows and MLOps. Ensure compliance with best practices in ML engineering, including robust and reproducible training pipelines, as well as versioning and documentationof data, models, and code. Keep abreast of progress in AIxBio and make use of strategic learning opportunities. Lead and contribute to research publications in prestigious venues. Organise and prioritise work, operating at the highest standard in the face of multiple competing deadlines. Essential Knowledge, Skills and Experience: PhD degree in a suitable field including, but not limited to, molecular biology, biochemistry, mathematics, computer science, computational biology, engineering, or related discipline. Experience in building machine learning models for biological design or discovery tasks, involving processing, visualizing, and analysing various data modalities. Ability to abstract high level biological questions and translate them into actionable computational tasks, evidenced by previous achievements in a comparable industry role, or a promising publication record in scientific journals and technical conferences. Ability to learn quickly and dive into a range of problem spaces and computational methods. Ability to work and communicate with and within diverse and multidisciplinary teams. Fluency in one or more scientific programming languages (Python, R, Julia, etc.) with experience in best practices in machine learning, including documentation. Excellent written and oral communication skills for diverse audiences, including colleagues without a computational background. Excellent time management skills across competing tasks requiring rapid context switching. Desirable Knowledge, Skills and Experience: Two years of industry or postdoctoral experience in similar roles. Proven experience with integration of machine learning methods with genome scale metabolic models. Proven experience with best practices and established software pipelines for genome scale metabolic modelling, including automated model construction from 'omics data, flux balance analysis, flux sampling, sensitivity analysis, and related methods in constraint based modelling. Our Benefits: Travel Allowance Bonus Pension - Employer contribution 7.5%, minimum employee contribution 5% Life Assurance. Income Protection Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan Employee discounts Electric car scheme Nursery Salary Sacrifice scheme Cycle to Work Scheme Family Planning Neurodiversity support including advise and assessments Coaching & Therapy services Working Together - What It Involves: You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate). Hybrid working model
Aug 20, 2026
Full time
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovatorsto tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Generative Biology Institute: Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. The vision of the GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting-edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose made facility in the Oxford Science Park, currently under construction. Once complete, this state of the art facility will include more than 40,000 m of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Your Role: At EIT we are seeking an experienced and detail orientated Bio ML Scientist to develop AI and machine learning systems that drive GBI's scientific aims, working alongside researchers and technical staff to address key questions in biological design and discovery. The post holder will work with multiple data modalities with a focus on biological system modelling and optimisation. This is an exceptional opportunity to join GBI's Technology Hub on ML Engineering, a fast growing team at the forefront of AI/ML and synthetic biology with access to exceptional facilities and expertise. We are looking for a colleague who thrives in a team and cares deeply about biological questions, hypotheses, and a biology centric approach to AI/ML engineering. The role requires expertise in machine learning applied to biological design or discovery, and prior exposure to collaboration with wet lab scientists. We are particularly interested in candidates with experience in combining AI/ML and genome scale metabolic models. Our team ethos is based on mutual learning, strong peer to peer support, and a deep sense of scientific curiosity and ambition. Key Responsibilities: Research, design and build AI and machine learning systems to address GBI's research challenges in synthetic biology, genome design, and molecular evolution. Lead and contribute to collaborative projects with other MLEng team members, GBI researchers and staff, relevant colleagues across EIT, and external collaborators. Work closely with GBI scientists in co creation of research projects and development of fit for purpose computational solutions. Provide expert computational biology knowhow to GBI researchers and scope novel avenues of research. Interact with the Bioinformatics and Scientific Compute platform teams to support the development of GBI data flows and MLOps. Ensure compliance with best practices in ML engineering, including robust and reproducible training pipelines, as well as versioning and documentationof data, models, and code. Keep abreast of progress in AIxBio and make use of strategic learning opportunities. Lead and contribute to research publications in prestigious venues. Organise and prioritise work, operating at the highest standard in the face of multiple competing deadlines. Essential Knowledge, Skills and Experience: PhD degree in a suitable field including, but not limited to, molecular biology, biochemistry, mathematics, computer science, computational biology, engineering, or related discipline. Experience in building machine learning models for biological design or discovery tasks, involving processing, visualizing, and analysing various data modalities. Ability to abstract high level biological questions and translate them into actionable computational tasks, evidenced by previous achievements in a comparable industry role, or a promising publication record in scientific journals and technical conferences. Ability to learn quickly and dive into a range of problem spaces and computational methods. Ability to work and communicate with and within diverse and multidisciplinary teams. Fluency in one or more scientific programming languages (Python, R, Julia, etc.) with experience in best practices in machine learning, including documentation. Excellent written and oral communication skills for diverse audiences, including colleagues without a computational background. Excellent time management skills across competing tasks requiring rapid context switching. Desirable Knowledge, Skills and Experience: Two years of industry or postdoctoral experience in similar roles. Proven experience with integration of machine learning methods with genome scale metabolic models. Proven experience with best practices and established software pipelines for genome scale metabolic modelling, including automated model construction from 'omics data, flux balance analysis, flux sampling, sensitivity analysis, and related methods in constraint based modelling. Our Benefits: Travel Allowance Bonus Pension - Employer contribution 7.5%, minimum employee contribution 5% Life Assurance. Income Protection Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan Employee discounts Electric car scheme Nursery Salary Sacrifice scheme Cycle to Work Scheme Family Planning Neurodiversity support including advise and assessments Coaching & Therapy services Working Together - What It Involves: You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate). Hybrid working model
Job Role: Cyber Vulnerability Researcher Location: Gloucester, Manchester or London (Onsite) Salary: £60,000 - £75,000 The Opportunity Join a specialist cyber team working at the forefront of National Security, tackling some of the UK's most complex and challenging cyber threats click apply for full job details
Aug 20, 2026
Full time
Job Role: Cyber Vulnerability Researcher Location: Gloucester, Manchester or London (Onsite) Salary: £60,000 - £75,000 The Opportunity Join a specialist cyber team working at the forefront of National Security, tackling some of the UK's most complex and challenging cyber threats click apply for full job details
Saalex is seeking a Senior Researcher in Newport, RI to support advanced warfare analysis and operational research efforts. The selected candidate will provide subject matter expertise in military operations research, support PhD-level faculty within the Strategic and Operational Research Department, and contribute to advanced projects requiring senior-level operational knowledge and rigorous academic research methodologies. Position Type: Full-Time Salary: $110k-$120k annually (depending upon experience) Work Location: Onsite Essential Functions: Provide subject matter expertise in warfare analysis and military operations research. Conduct extensive research in a rigorous academic environment. Serve as an expert analyst supporting advanced projects involving military operations. Facilitate post-graduate level advanced research activities. Support Strategic and Operational Research Department PhD-level faculty. Provide senior-level expertise and analysis in joint military operations. Other duties as assigned or required. Required: Extensive research experience in a rigorous academic environment. Experience supporting advanced research projects involving military operations. Senior-level expertise in joint operations. Bachelor's Degree is required. Desired: Experience working with military educational institutions, operational analysis organizations, or defense research environments. Experience facilitating graduate-level or post-graduate research programs. Strong analytical, technical writing, and research methodology skills. Education: Bachelor's Degree is required. Security Clearance: Ability to obtain and maintain an Active Top Secret Security Clearance. Requirements to obtain a clearance include U.S. Citizenship, successful completion of a security investigation, and meeting all government security requirements. Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Training & Development Wellness Resources Stock Option Benefit
Aug 19, 2026
Full time
Saalex is seeking a Senior Researcher in Newport, RI to support advanced warfare analysis and operational research efforts. The selected candidate will provide subject matter expertise in military operations research, support PhD-level faculty within the Strategic and Operational Research Department, and contribute to advanced projects requiring senior-level operational knowledge and rigorous academic research methodologies. Position Type: Full-Time Salary: $110k-$120k annually (depending upon experience) Work Location: Onsite Essential Functions: Provide subject matter expertise in warfare analysis and military operations research. Conduct extensive research in a rigorous academic environment. Serve as an expert analyst supporting advanced projects involving military operations. Facilitate post-graduate level advanced research activities. Support Strategic and Operational Research Department PhD-level faculty. Provide senior-level expertise and analysis in joint military operations. Other duties as assigned or required. Required: Extensive research experience in a rigorous academic environment. Experience supporting advanced research projects involving military operations. Senior-level expertise in joint operations. Bachelor's Degree is required. Desired: Experience working with military educational institutions, operational analysis organizations, or defense research environments. Experience facilitating graduate-level or post-graduate research programs. Strong analytical, technical writing, and research methodology skills. Education: Bachelor's Degree is required. Security Clearance: Ability to obtain and maintain an Active Top Secret Security Clearance. Requirements to obtain a clearance include U.S. Citizenship, successful completion of a security investigation, and meeting all government security requirements. Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Training & Development Wellness Resources Stock Option Benefit
Join us at EIT At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Plant Biology Institute The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include Improved plant productivity, both indoors and outside. Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides. Novel decarbonised plant based production platforms for food and medicines. Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state of the art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long term substantial funding to support the unique scale and ambition of its vision. Your Role We are seeking a highly motivated Bioinformatician to join the Bioinformatics platform team, which builds computational tools for plant biology in close collaboration with the phenotyping platform and research teams. The successful candidate will work at the intersection of genomics, transcriptomics, and computational biology, to accelerate plant science research. By developing and implementing bioinformatics algorithms, your work will directly shape how biological questions are translated into computational analyses, enabling researchers to unravel complex traits and predict phenotypic outcomes with greater accuracy. The role will require working closely with bioinformatics engineers and research scientists to design and deliver enterprise level analytical approaches that meet the evolving needs of the institute. The ideal candidate will have a strong background in genomics and transcriptomics, experience working with complex plant genomes, and the ability to break down complex research questions into clear, tangible milestones for implementation. Your Responsibilities Develop and implement bioinformatics algorithms for the analysis of genomic and transcriptomic data. Translate complex research questions into well defined analytical approaches and implementation milestones. Apply and evaluate machine learning methods to predict complex traits and phenotypic outcomes from genomic and transcriptomic data. Analyse and interpret large scale genomic and transcriptomic datasets from complex plant genomes. Collaborate with bioinformatics engineers and systems administrators to integrate algorithms into production pipelines and workflows. Communicate analytical approaches and findings clearly to both technical and non technical stakeholders. Essential Skills, Qualifications & Experience PhD, or equivalent research experience, in Bioinformatics, Genomics, Computational Biology, or a related field. Strong background in genomics and transcriptomics, with demonstrated experience working with complex plant genomes. Experience with bioinformatics tools for genome assembly, annotation and variant analysis. Familiarity operating within Linux environments, including operating within HPC and/or cloud environments (e.g. SLURM, OCI). Experience applying machine learning methods to genomic and transcriptomic data, with an understanding of different ML approaches and their suitability for different biological questions. Demonstrated experience predicting complex traits and phenotypic outcomes from biological data. Proven ability to interpret complex research questions and break them down into tangible, actionable milestones. Strong programming and scripting skills for data analysis (e.g. Python, R). Deep understanding of bioinformatics file formats, tools, and databases (e.g. FASTQ, BAM/VCF, BLAST, reference genomes). Experience using and developing version controlled codebases, familiarity with common tools (git) and development practices. Ability to work collaboratively with engineers, systems administrators, and research scientists to deliver research outcomes. Desirable Knowledge, Skills, and Experience Experience with workflow management systems (e.g. Nextflow, Snakemake). Experience with plant trait engineering and design. Understanding of FAIR data principles and metadata standards. Experience mentoring or guiding junior team members or collaborators. Our Benefits Salary dependent on experience + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Aug 19, 2026
Full time
Join us at EIT At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Plant Biology Institute The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include Improved plant productivity, both indoors and outside. Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides. Novel decarbonised plant based production platforms for food and medicines. Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state of the art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long term substantial funding to support the unique scale and ambition of its vision. Your Role We are seeking a highly motivated Bioinformatician to join the Bioinformatics platform team, which builds computational tools for plant biology in close collaboration with the phenotyping platform and research teams. The successful candidate will work at the intersection of genomics, transcriptomics, and computational biology, to accelerate plant science research. By developing and implementing bioinformatics algorithms, your work will directly shape how biological questions are translated into computational analyses, enabling researchers to unravel complex traits and predict phenotypic outcomes with greater accuracy. The role will require working closely with bioinformatics engineers and research scientists to design and deliver enterprise level analytical approaches that meet the evolving needs of the institute. The ideal candidate will have a strong background in genomics and transcriptomics, experience working with complex plant genomes, and the ability to break down complex research questions into clear, tangible milestones for implementation. Your Responsibilities Develop and implement bioinformatics algorithms for the analysis of genomic and transcriptomic data. Translate complex research questions into well defined analytical approaches and implementation milestones. Apply and evaluate machine learning methods to predict complex traits and phenotypic outcomes from genomic and transcriptomic data. Analyse and interpret large scale genomic and transcriptomic datasets from complex plant genomes. Collaborate with bioinformatics engineers and systems administrators to integrate algorithms into production pipelines and workflows. Communicate analytical approaches and findings clearly to both technical and non technical stakeholders. Essential Skills, Qualifications & Experience PhD, or equivalent research experience, in Bioinformatics, Genomics, Computational Biology, or a related field. Strong background in genomics and transcriptomics, with demonstrated experience working with complex plant genomes. Experience with bioinformatics tools for genome assembly, annotation and variant analysis. Familiarity operating within Linux environments, including operating within HPC and/or cloud environments (e.g. SLURM, OCI). Experience applying machine learning methods to genomic and transcriptomic data, with an understanding of different ML approaches and their suitability for different biological questions. Demonstrated experience predicting complex traits and phenotypic outcomes from biological data. Proven ability to interpret complex research questions and break them down into tangible, actionable milestones. Strong programming and scripting skills for data analysis (e.g. Python, R). Deep understanding of bioinformatics file formats, tools, and databases (e.g. FASTQ, BAM/VCF, BLAST, reference genomes). Experience using and developing version controlled codebases, familiarity with common tools (git) and development practices. Ability to work collaboratively with engineers, systems administrators, and research scientists to deliver research outcomes. Desirable Knowledge, Skills, and Experience Experience with workflow management systems (e.g. Nextflow, Snakemake). Experience with plant trait engineering and design. Understanding of FAIR data principles and metadata standards. Experience mentoring or guiding junior team members or collaborators. Our Benefits Salary dependent on experience + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Our client is looking and Antifiacl Intellience Security Researcher to join thier well eastabilished team and focus on thier Defence & National Security cleints AI Security Researcher Salary - £65,000-£85,000 + bonus + excellent benefits Location - Hamshire or Surrey - hybrid Security Clearance - Candidates must hold an active SC clearance click apply for full job details
Aug 19, 2026
Full time
Our client is looking and Antifiacl Intellience Security Researcher to join thier well eastabilished team and focus on thier Defence & National Security cleints AI Security Researcher Salary - £65,000-£85,000 + bonus + excellent benefits Location - Hamshire or Surrey - hybrid Security Clearance - Candidates must hold an active SC clearance click apply for full job details
Computer Science Researcher (CompSci Researcher) Halifax, West Yorkshire - Full relocation package available Up to 60,000 + Bonus + Benefits Must be willing to undergo a high security clearance Are you a Computer Science researcher with a PhD who wants to take research beyond academic papers and turn it into technology that solves real-world problems? This role sits within a software engineering team delivering both internal and customer-funded research, developing proof-of-concepts and prototypes that can ultimately become future operational capabilities. The work covers complex computer science challenges within secure environments, with a strong focus on experimentation, innovation and practical delivery. You'll be responsible for conducting research, designing experiments using the scientific method, documenting findings and presenting outcomes to technical and non-technical stakeholders. You'll also work closely with software engineers to turn research into working prototypes. The key experience required is: PhD in Computer Science or a closely related subject Experience conducting innovative Computer Science research Strong Java development skills, alongside some Python and Bash Experience designing experiments and applying the scientific method Strong research report writing and presentation skills Experience within privacy research, vulnerability research, mobile applications, cellular networks such as 5G or non-HTTP network protocols would be particularly relevant. Because of the nature of the projects, you'll need to understand security principles around confidentiality, integrity and availability, including areas such as SSO, two-factor authentication and certificate-based authentication. The role is predominantly based near Halifax, with occasional travel and overnight stays at customer and partner locations. You must be a British national and willing to undergo Developed Vetting (DV) due to the sensitivity of the work. The package includes a 6% employer pension contribution, 25 days' holiday plus bank holidays, annual discretionary bonus, life and critical illness cover, private virtual GP access, electric car salary sacrifice scheme and relocation allowance. If you want to combine high-level Computer Science research with hands-on development and see your work progress into real operational technology, this is an opportunity to do exactly that.
Aug 19, 2026
Full time
Computer Science Researcher (CompSci Researcher) Halifax, West Yorkshire - Full relocation package available Up to 60,000 + Bonus + Benefits Must be willing to undergo a high security clearance Are you a Computer Science researcher with a PhD who wants to take research beyond academic papers and turn it into technology that solves real-world problems? This role sits within a software engineering team delivering both internal and customer-funded research, developing proof-of-concepts and prototypes that can ultimately become future operational capabilities. The work covers complex computer science challenges within secure environments, with a strong focus on experimentation, innovation and practical delivery. You'll be responsible for conducting research, designing experiments using the scientific method, documenting findings and presenting outcomes to technical and non-technical stakeholders. You'll also work closely with software engineers to turn research into working prototypes. The key experience required is: PhD in Computer Science or a closely related subject Experience conducting innovative Computer Science research Strong Java development skills, alongside some Python and Bash Experience designing experiments and applying the scientific method Strong research report writing and presentation skills Experience within privacy research, vulnerability research, mobile applications, cellular networks such as 5G or non-HTTP network protocols would be particularly relevant. Because of the nature of the projects, you'll need to understand security principles around confidentiality, integrity and availability, including areas such as SSO, two-factor authentication and certificate-based authentication. The role is predominantly based near Halifax, with occasional travel and overnight stays at customer and partner locations. You must be a British national and willing to undergo Developed Vetting (DV) due to the sensitivity of the work. The package includes a 6% employer pension contribution, 25 days' holiday plus bank holidays, annual discretionary bonus, life and critical illness cover, private virtual GP access, electric car salary sacrifice scheme and relocation allowance. If you want to combine high-level Computer Science research with hands-on development and see your work progress into real operational technology, this is an opportunity to do exactly that.
