ai research engineer

Pacific Life

<div>Job Title
AI Engineer
Job Description
Role Summary
Designs, builds, and pilots AI‑enabled solutions that support PL Re business teams through experimentation, rapid prototyping, and value‑led innovation. Operating within the Business &amp; AI team, the role translates business problems into secure, scalable, cloud‑hosted AI solutions suitable for a regulated reinsurance environment. 
The role combines hands‑on AI and full‑stack development with strong engineering judgement, ensuring alignment with PL Re engineering standards, enterprise architecture, and security controls. A key focus is maintaining awareness of emerging AI technologies and applying relevant advances pragmatically.
The role works closely with the Global Experience Analysis (Global EA) engineering team to accelerate AI adoption while ensuring solutions can transition from experimentation into enterprise platforms where appropriate.
Key Responsibilities
AI Solution Design &amp; Delivery<ul><li>
Design, build, and pilot AI‑enabled solutions that address PL Re business problems through experimentation and rapid prototyping.</li><li>
Translate business use cases into secure, scalable, cloud‑hosted AI solutions aligned to enterprise standards.</li><li>
Deliver hands‑on full‑stack and AI development, producing solutions capable of transition into strategic or BAU platforms where appropriate.</li><li>
Design prototypes with explicit consideration for scalability, operability, data governance, and integration pathways if progressed beyond pilot.</li></ul>
AI Research &amp; Innovation<ul><li>
Research, evaluate, and stay current with emerging AI approaches, tools, and techniques.</li><li>
Assess the relevance and applicability of new AI capabilities within a regulated reinsurance environment.</li><li>
Apply insights from research to inform experimentation, solution design, and technical direction.</li><li>
Engineering Excellence &amp; Governance Alignment</li><li>
Ensure adherence to PL Technology engineering standards, architecture principles, and security controls.</li><li>
Partner with Enterprise Architecture and Information Security to meet governance and regulatory expectations.</li><li>
Ensure solutions respect data principles including ownership, lineage, residency, and PII handling.</li><li>
Apply approved integration patterns when accessing platforms, data products, or external services.</li></ul>
Collaboration &amp; Knowledge Sharing<ul><li>
Work alongside the Global Experience Analysis (Global EA) engineering team, sharing cloud and AI engineering insights, patterns, and lessons learned.</li><li>
Act as a bridge between Business &amp; AI experimentation and wider PL Re technology capabilities to accelerate AI adoption consistently across the organisation.</li></ul>
Architecture &amp; Platform Alignment<ul><li>
Contribute to solution architecture designs, including high‑level logical and cloud architectures, for AI use cases progressing beyond experimentation.</li><li>
Align AI solutions with Architecture Governance, PL Re target architectures, approved platforms, integration patterns, and data architecture principles.</li><li>
Identify architectural impacts, dependencies, and technical debt risks arising from AI experimentation.</li></ul>
Skills &amp; Experience 
Essential<ul><li>
Demonstrable experience designing, building, and piloting AI‑enabled solutions, including rapid prototyping and experimentation in partnership with business stakeholders.</li><li>
Strong hands‑on development experience (Python, APIs, modern application architectures).</li><li>
Experience translating business problems into practical, secure, and scalable technical solutions aligned to enterprise standards.</li><li>
Ability to translate business problems into secure, scalable enterprise‑aligned solutions.</li><li>
Experience evaluating and applying AI technologies within regulated or risk‑aware environments.</li><li>
Strong engineering judgement, balancing innovation with operational readiness and control.</li></ul> 
Skills &amp; Experience &ndash; Desirable<ul><li>
Experience with AI, data, and analytics platforms on AWS or Azure, including managed AI or foundation model services.</li><li>
Exposure to actuarial, underwriting, pricing, analytics, or adjacent insurance technology environments.</li><li>
Familiarity with DevOps / DevSecOps practices, including CI/CD pipelines in enterprise settings.</li><li>
Understanding of enterprise architecture principles, target architectures, and design governance processes in large, regulated organisations.</li><li>
Exposure to AI and developer tooling such as OpenAI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, GitHub Copilot, or similar ecosystems.</li></ul>
Behavioural Competencies<ul><li>
Strong ownership and accountability for delivery outcomes.</li><li>
Clear, confident communication with both technical and non‑technical stakeholders.</li><li>
Ability to lead through influence, setting technical direction and standards without formal authority.</li><li>
Risk‑aware, quality‑driven mindset suited to a regulated financial services environment.</li></ul>
Working For Pacific Life Re
Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes.
Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and well being initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events and overseeing volunteering opportunities.
Benefits (Only for Permanent and Fixed Term Employees)
Leave
<ul><li>25 days of annual leave with option to buy/sell more days</li><li>
Adoption and fertility leave</li><li>
Generous enhanced parental leave</li></ul>
Healthcare<ul><li>
Comprehensive private insurance coverage for employee and dependents</li><li>
Group Life Insurance coverage of 9x basic annual salary and Group Income Protection up to 75% of basic annual salary</li><li>
Optical benefits</li></ul>
Savings &amp; Retirement<ul><li>
15% combined employee/employer contributions</li></ul>
Wellness<ul><li>
Subsidized gym membership</li><li>
Access to Employee Assistance Program</li><li>
Cycle to Work and Electric Car Salary Sacrifice Scheme</li><li>
Time off for volunteering</li><li>
Charitable matching of employee donations</li></ul>
You Can Be Who You Are
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.
﻿As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.
Pacific Life Re Values
Please click here to view our company values</div>

AI Engineer

DeepMind

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in computer science, electrical engineering, science, mathematics or equivalent experience.</li>
<li>2 years of experience in programming, specifically with Python-based scientific libraries such as JAX, PyTorch, TensorFlow, NumPy.</li>
<li>Experience in developing or implementing machine learning models in a production or research environment.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience with large-scale system design, distributed systems.</li>
<li>Experience in data engineering and visualisation.</li>
<li>C++ or broader programming experience.</li>
<li>Academic research experience in machine learning, publications, or research experience in related fields.</li>
<li>Knowledge of distributed computation for ML, especially in the context of accelerators (e.g. sharding, multi-host computation).</li>
<li>Strong communication skills (via discussion, presentation, technical and research writing, whiteboarding). 
</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. 
 
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.Artificial intelligence will be one of humanity&rsquo;s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. 
 
We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Determine how to run research methods with large-scale compute.</li>
<li>Optimize performance through engineering and benchmarking.</li>
<li>Solve key research challenges by designing and running experiments, sharing analyses and proposing next steps.</li>
<li>Integrate engineering expertise into research projects, sharing skills and knowledge with other engineers and researchers.</li>
<li>Design, build, and improve infrastructure for research.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Engineer, Continual Learning, DeepMind

Bloomberg

<div>
 Location
 
 
 London
 
 
 Business Area
 
 
 Engineering and CTO
 
 
 Ref #
 
 
 10049302
 
 
 
 Description &amp; Requirements
 
 
 
 Bloomberg&rsquo;s Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
 
 
 Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions.
 
 
 Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
 
 
 We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications.
 
 
 As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
 
 
 
 Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to:
 
 
 
 <ul>
 <li>
 Architect, build, and diagnose multi-tenant AI platform systems
 </li>
 <li>
 Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
 </li>
 <li>
 Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
 </li>
 <li>
 Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
 </li>
 <li>
 Design CI/CD automation frameworks that incorporate regulatory requirements
 </li>
 <li>
 Develop cloud-native deployment patterns for AI systems across environments
 </li>
 <li>
 Troubleshoot and debug user issues
 </li>
 <li>
 Provide operational and user-facing documentation
 
 
 </li>
 </ul>
 
 We are looking for a Senior ML Platform Engineer with:
 
 
 
 <ul>
 <li>
 Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
 </li>
 <li>
 Experience designing cloud-native, distributed platforms
 </li>
 <li>
 Strong knowledge of Kubernetes, Argo, and container orchestration technologies
 </li>
 <li>
 Previous experience with modern CI/CD tools and GitOps workflows
 </li>
 <li>
 Familiarity with implementing automation for model development lifecycles
 </li>
 <li>
 A proactive mentality and ability to collaborate with peers, stakeholders, and management
 </li>
 <li>
 A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
 </li>
 <li>
 An understanding of Computer Science fundamentals such as data structures and algorithms
 
 
 </li>
 </ul>
 We give back to the technology community and you can read more about our outreach at:
 
 
 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.
 
 
 Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
</div>

Senior ML Platform Engineer - Artificial Intelligence

Applied Computing

<div>Applied Computing was founded in 2024 to build Orbital, a physics-informed foundation model for energy operations. We&rsquo;re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable abundance for a growing planet. 
The hydrocarbon industry keeps the world running. But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data. We built Orbital to change that. It&rsquo;s a foundation model built specifically for energy that lets companies use AI at scale, harnessing all of their operational 
data and optimising in real time for any metric. Decisions get faster, operations get safer, and carbon intensity falls. 
We&rsquo;ve raised over $32 million, including one of the largest seed rounds for an 
AI company in the UK. We&rsquo;re just getting started
As a Senior Full Stack Engineer on the Core AI team, you will build the platform that makes Orbital a scalable product. You will own the internal application layers, developer facing APIs, shared UI components, and integration frameworks that power every Orbital deployment.
This is a product engineering role focused on building reusable systems. You will collaborate with AI research, Infra, and software teams to translate complex industrial workflows into reliable system components and intuitive user interfaces.
Your work will define how users interact with Orbital across control rooms, engineering teams, and cloud-based environments.
What Success Looks Like<ul><li>Orbital ships with high-quality dashboards and interfaces that users rely on daily</li><li>Core APIs and services provide stable, well-documented contracts for AI, data, and automation features</li><li>Frontend and backend codebases are modular, well-structured, and easy to extend</li><li>Releases are frequent, reliable, and backed by strong CI/CD pipelines</li><li>Features scale from one deployment to many without site-specific rework or bespoke</li></ul>
engineering<div>
Requirements 
<ul><li>Strong software engineering fundamentals (data structures, algorithms, complexity)</li><li>Solid understanding of system design patterns and architectural trade-offs</li><li>Strong proficiency in JavaScript / TypeScript</li><li>Experience building complex applications in React or Svelte</li><li>Ability to design reusable UI components and frontend architecture</li><li>Python for APIs, orchestration, and data integration</li><li>Backend experience with Node.js, FastAPI, Express, or similar frameworks</li><li>Experience designing and maintaining API-driven systems</li><li>Experience building containerised microservices using Docker and Kubernetes</li><li>Familiarity with distributed systems and event-driven architectures</li><li>Experience with message brokers such as Kafka or RabbitMQ</li><li>Comfortable working in Linux environments for debugging and performance tuning</li><li>Hands-on experience with AWS (EKS, S3, IAM, CloudWatch, networking fundamentals)</li></ul></div><div> 
Product &amp; Engineering Mindset 
<ul><li>Comfortable operating in a fast-moving product environment with evolving</li></ul>
requirements 
<ul><li>Strong collaboration skills across AI, infra, and product teams</li><li>Bias toward reliability, resilience, and long-term maintainability</li><li>Ability to design systems that scale across customers, sites, and industrial verticals</li><li>Comfortable shipping on a bi-weekly release cadence</li></ul></div><div> 
What This Role Is Not 
<ul><li>Not a pure frontend or UI-only role</li><li>Not infrastructure-only or DevOps-focused</li><li>Not a research or modelling role</li><li>Not a one-off project engineer; this role builds core platform primitives</li></ul></div><div>
1. Full Stack Product Development 
<ul><li>Build features across the product stack: data access, backend services, APIs, and UI</li></ul>
layers 
<ul><li>Develop backend logic that exposes:</li></ul>
o Time-series forecasts 
o Physics-based model outputs 
o LLM and agent outputs 
As stable product features</div><ul><li>
Create internal tools and workflows that support multiple engineering and operational use cases without custom deployments</li><li>
Ensure all application layers meet strict standards for:</li></ul>
o Reliability 
o Security 
o Observability 
o Performance 
Across cloud and on-prem environments<div> 
2. Platform &amp; Microservices Architecture 
<ul><li>Design and implement containerised microservices running in Kubernetes clusters</li><li>Create shared services and libraries that enable reuse across Orbital verticals</li><li>Define API boundaries and service contracts that allow AI and infra layers to evolve</li></ul>
independently</div><div>
3. Core Platform Engineering 
<ul><li>Collaborate with Product, AI Research, ML Engineering, and Infra teams on:</li></ul>
o Product requirements 
o Long-term platform architecture 
<ul><li>Build interface layers that expose inference, physics-based reasoning, and optimisation</li></ul>
as first-class platform capabilities 
<ul><li>Implement abstractions for:</li></ul>
o Data ingestion 
o Inference orchestration 
o Scheduling 
o Monitoring and health checks 
<ul><li>Establish design patterns and engineering standards that unify the Orbital ecosystem</li></ul></div><div> 
4. Software Engineering Excellence 
<ul><li>Write clean, modular, maintainable code across frontend and backend systems</li><li>Set up and improve CI/CD pipelines for:</li></ul>
o Automated testing 
o QA 
o Rapid, safe releases 
<ul><li>Participate in code reviews and architectural discussions</li><li>Leverage modern agentic coding tools to increase velocity while maintaining</li></ul>
correctness and readability</div>
Benefits
Competitive salary and benefits 
Ability to work from the office or remote 
Employment contract in UK or India, EOR or contractor options available in other jurisdictions 
Exciting high traction AI product</div>

Staff Software Engineer

AI Security Institute

<div><h3 class="jobSectionHeader">Application Process &amp; Requirements:</h3>
Interview Process<ul><li>
Technical roles: Our technical roles' process includes submitting a CV and short written statement, 1-2 skills assessments such as technical interviews and take-home coding tests and 2-4 interviews, including a conversation with leadership. We tailor this process as needed for each role and candidate. If you're applying to our technical roles, this privacy policy applies.</li><li>
Non-technical roles: Our non-technical roles' process includes submitting a CV, 2-4 interviews including a conversation with leadership and sometimes presentation or take-home task assessments. While our interviews follow civil service requirements, we do not require answering in STAR or other rigid formats. We recommend preparing to speak about your past career experience and how you would approach problems you would face in your AISI role.</li></ul>
Nationality Requirements &amp; Visas<ul><li>
Technical roles: we can hire almost all nationalities and sponsor visas.
</li><li>Non-technical roles: you must meet civil service nationality requirements (by having Commonwealth citizenship, indefinite leave to remain, EU settled status, or meeting some other criteria).</li></ul>
National Security Vetting 
 
<ul><li>Requirements vary by role and not all roles require vetting; check each job ad.</li><li>
Counter Terrorism Check (CTC) and Security Clearance (SC) vettings usually require 2+ years of recent UK residency. Developed Vetting (DV) clearances usually require 10+ years.</li></ul>
Technical Salaries 
<ul><li>
On technical job ads, you'll see our total packages include a &quot;base salary&quot; and a &quot;technical talent allowance&quot;. This is civil service terminology. The technical talent allowance is part of your total salary and paychecks; there are no restrictions on how you spend it.</li></ul></div>
 <div><div><h2 class="jobSectionHeader">About the AI Security Institute</h2>

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&rsquo;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&rsquo;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.</div><div><h2 class="jobSectionHeader">
The deadline for applying to this role is Sunday 19th July 2026, end of day, anywhere on Earth.</h2>
<h2 class="jobSectionHeader"> 
About the Team:</h2>

Security Engineering at the AI Security Institute (AISI) exists to help our researchers move fast, safely. We treat security as a measurable, researcher-centric product.

We build secure-by-design platforms, automated governance, and intelligence-led detection that protects our people, partners, models, and data. We work shoulder to shoulder with research units and core technology teams, and we optimise for enablement over gatekeeping, proportionate controls, low ego, and high ownership. 

<h2 class="jobSectionHeader">
What you might work on:</h2>
<ul><li>Help design and ship paved roads and secure defaults across our platform so researchers can build quickly and safely</li>
<li>Build tooling and reusable infrastructure-as-code modules that make the secure path the easy path</li>
<li>Build provenance and integrity into the software supply chain (signing, attestation, artefact verification, reproducibility)</li>
<li>Support strengthened identity, segmentation, secrets, and key management to create a defensible foundation for evaluations at scale</li>
<li>Develop automated, evidence-driven assurance mapped to relevant standards, reducing audit toil and improving signal</li>
<li>Create detections and response playbooks tailored to model evaluations and research workflows, and run exercises to validate them</li>
<li>Threat model new evaluation pipelines with research and core technology teams, fixing classes of issues at the platform layer</li>
<li>Assess third-party services and hardware/software supply chains, and introduce lightweight controls that raise the bar</li>
<li>Contribute to open standards and open source, and share lessons with the broader community where appropriate</li>
</ul>
If you want to build security that accelerates frontier-scale AI safety research, and see your work land in production quickly, this is a good place to do it.<h2 class="jobSectionHeader"> 
</h2>
<h2 class="jobSectionHeader">Role Summary:</h2>
<div>
We're looking for a strong software engineer who's drawn to security. Someone who would rather ship a paved road than write a policy, and who's excited by the prospect of building the security foundations for frontier-scale AI safety research. You don't need to be a career security specialist. You do need to be a genuinely good engineer who thinks adversarially, cares about getting the defaults right, and wants to go deep on security over the coming years.

Working as a hands-on engineer on AISI's Security Engineering team, building the secure-by-default patterns, reusable controls, and guardrails that the rest of the organisation builds on top of. You'll spend at least your first year focused on platform and product security, embedding safe practices across the development lifecycle, hardening our cloud and CI/CD foundations, and partnering with engineers to fix classes of issues rather than one-off bugs.

You'll build influence through enablement, not enforcement. Over time, you'll extend these patterns. We expect your security depth to grow on the job; we'll back that with mentorship, learning budget, and real ownership early. 

</div>
<h2 class="jobSectionHeader">Responsibilities:</h2>
<ul><li>Write production-quality code and reusable infrastructure-as-code (Terraform, CDK, etc.) that delivers secure-by-default modules, bootstrap templates, and reference architectures</li>
<li>Build tooling for identity, secrets, environment isolation, and pipeline hardening</li>
<li>Develop and help maintain a baseline cloud control set (e.g. SCPs, logging, tagging) and improve cloud posture with automated feedback loops</li>
<li>Provide consulting and coaching to platform and product teams to support secure delivery</li>
<li>Threat model new and existing systems with research and core technology teams, and fix issues at the platform layer</li>
<li>Build provenance and integrity into the software supply chain (signing, attestation, artefact verification)</li>
<li>Help create detections and response playbooks, support post-incident reviews, and design for resilience</li>
<li>Align technical controls with governance and shared responsibility boundaries</li></ul> 

<h2 class="jobSectionHeader">
Profile requirements:</h2>

You may be a good fit if you have some of the following skills, experience, and attitudes:
<ul>
<li>Writing production-quality code at a fast pace, and designing, shipping, and maintaining complex tech products</li>
<li>A genuine pull towards security, you think adversarially, enjoy understanding how systems break, and want to make the secure path the default path</li>
<li>Strong Python and/or another production language, including the good vs. bad ways of doing things and a feel for the wider ecosystem and tooling</li>
<li>Experience building and maintaining systems on AWS or other cloud providers using infrastructure-as-code (Terraform, CDK, etc.)</li>
<li>Solid understanding of CI/CD pipelines and the software development lifecycle</li>
<li>You take the trajectory of frontier AI seriously, and you're motivated by the mission of making it safe</li>
<li>Strong written and verbal communication, and the ability to build influence in cross-functional environments</li>
<li>Improving technical standards across a team through mentoring and feedback</li>
</ul>
Motivated candidates are encouraged to apply even if you don't meet all the above criteria. We care more about engineering ability, security instinct, and trajectory than a long security CV.
<h2 class="jobSectionHeader">
Desired experience:</h2>

We additionally may factor in experience with areas like:
<ul>
<li>Cloud security, identity, networking, and org-level services</li>
<li>Cybersecurity expertise (threat modelling, detection and response, supply-chain security, secrets management)</li>
<li>Software supply-chain security and provenance</li>
<li>ML Ops and AI/ML platform surfaces</li>
<li>Practical understanding of AI/ML risks</li>
</ul><h2 class="jobSectionHeader">Key Competencies:</h2>
<ul><li>Strong software engineering and the ability to design reusable IaC components</li>
<li>Security instinct: threat modelling, secure defaults, and paved paths</li>
<li>Collaboration across platform and research teams</li>
<li>Cloud fundamentals (AWS), with appetite to go deep on cloud security</li>
<li>Growing capability in securing AI/ML workloads and artefacts</li>
<li>Clear communication and influence without authority</li></ul> 

<h2 class="jobSectionHeader">
Security Clearance:</h2>

Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required&mdash;we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK.</div><div><h2 class="jobSectionHeader"> 
What We Offer</h2>

Impact you couldn't have anywhere else
<ul>
<li>Incredibly talented, mission-driven and supportive colleagues.</li>
</ul><ul><li>Direct influence on how frontier AI is governed and deployed globally.</li>
</ul><ul><li>Work with the Prime Minister&rsquo;s AI Advisor and leading AI companies.</li>
</ul><ul><li>Opportunity to shape the first &amp; best-resourced public-interest research team focused on AI security.</li>
</ul>
Resources &amp; access
<ul>
<li>Pre-release access to multiple frontier models and ample compute.</li>
</ul><ul><li>Extensive operational support so you can focus on research and ship quickly.</li>
</ul><ul><li>Work with experts across national security, policy, AI research and adjacent sciences.</li>
</ul>
Growth &amp; autonomy
<ul>
<li>If you&rsquo;re talented and driven, you&rsquo;ll own important problems early.</li>
</ul><ul><li>5 days off and annual stipends for learning and development, and funding for conferences and external collaborations.</li>
</ul><ul><li>Freedom to pursue research bets without product pressure.</li>
</ul><ul><li>Opportunities to publish and collaborate externally.</li>
</ul>
Life &amp; family*
<ul>
<li>Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol.</li>
</ul><ul><li>Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment.</li>
</ul><ul><li>At least 25 days&rsquo; annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering.</li>
</ul><ul><li>Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time).</li>
</ul><ul><li>On top of your salary, we contribute 28.97% of your base salary to your pension.</li>
</ul><ul><li>Discounts and benefits for cycling to work, donations and retail/gyms.</li> 
</ul>
<ul><li>These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments.</li></ul>
<h2 class="jobSectionHeader">
Salary</h2>

Annual salary is benchmarked to role scope and relevant experience. Most offers land between &pound;65,000 and &pound;145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary.

This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures.

The full range of salaries are available below:
<ul>
<li>Level 3: &pound;65,000&ndash;&pound;75,000 (Base &pound;39,850 + Technical Allowance &pound;25,150&ndash;&pound;35,150)</li>
<li>Level 4: &pound;85,000&ndash;&pound;95,000 (Base &pound;47,355 + Technical Allowance &pound;37,645&ndash;&pound;47,645)</li>
<li>Level 5: &pound;105,000&ndash;&pound;115,000 (Base &pound;61,620 + Technical Allowance &pound;43,380&ndash;&pound;53,380)</li>
<li>Level 6: &pound;125,000&ndash;&pound;135,000 (Base &pound;74,605 + Technical Allowance &pound;50,395&ndash;&pound;60,395)</li>
<li>Level 7: &pound;145,000 (Base &pound;74,605 + Technical Allowance &pound;70,395)</li></ul> 


<h4 class="jobSectionHeader">Additional Information</h4>
<div><div><h3 class="jobSectionHeader">Use of AI in Applications</h3>

Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.
<h3 class="jobSectionHeader">
Internal Fraud Database</h3>

The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register.
<h3 class="jobSectionHeader">
Security</h3>
Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance. Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here.</div>
</div><div><h3 class="jobSectionHeader">Nationality requirements</h3>

We may be able to offer roles to applicant from any nationality or background. As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window).
</div>
<div><h3 class="jobSectionHeader">Working for the Civil Service</h3>
<div><div>The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.</div>
</div></div><div><h3 class="jobSectionHeader">Diversity and Inclusion</h3>
<div>The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window). As part of the application process, we monitor statistics on D&amp;I. You can see how we process this data here: Recruitment privacy notice - GOV.UK.</div></div></div></div>

Frontier Research Engineer, Security

Resolution

<div><h1 class="jobSectionHeader">About Resolution</h1>
Resolution does research on how to align artificial superintelligence (ASI). ASI may be developed in the next few years, but it is unclear whether alignment is on track to be ready in the same timeframe. We aim at higher a priori confidence in aligned outcomes by pursuing a portfolio of theory and empirics bets, any one of which &mdash; if it succeeds &mdash; would meaningfully advance the field. We invest heavily in research automation to accelerate progress, and we believe that stronger alignment theory unlocks higher automation: more principled approaches give us better filters for which directions of automated research are promising.
Resolution was founded in 2026 by researchers from UK AISI's Alignment Team, who ran the &pound;30m Alignment Project, and Timaeus, who pioneered applying singular learning theory to alignment.
For more information, see our announcement.<h1 class="jobSectionHeader">
About the Team</h1>
Resolution's work will involve sensitive frontier-relevant research and partnerships with AI labs. This role exists both to protect that work and to enable it: good security is what makes deeper lab partnerships possible. We draw a distinction between two closely related areas of security:<ul><li>
Research &amp; infrastructure security. Securing how research actually runs: CI/CD pipelines, automated research agents, multi-cloud compute, and code/data/model-weight handling.</li><li>
Corporate IT &amp; security. The endpoint, identity, and collaboration scaffolding a distributed research org runs on, in combination with the compliance frameworks that unlock lab partnerships.</li></ul>
This role focuses on the former, covering security on the technical side of the organization. You would report to senior leadership and work closely with our security and engineering teams (as well as with our operations team).
In practice, we expect to grow the security team one hire at a time, so your initial set of responsibilities is likely to span both areas. We expect the distinction to clarify over time.<h2 class="jobSectionHeader">
About the Role</h2>
You are the security architect for our research pipeline. You'll define how we securely conduct research across multiple cloud environments, partnering closely with engineering to make CI/CD, automated research agents, and large-scale compute secure by default. You would build a hardened environment where researchers and agents iterate at speed without risking data leakage, supply-chain compromise, and other security failures.<h2 class="jobSectionHeader">
Responsibilities</h2>
1. Secure DevSecOps &amp; CI/CD Orchestration<ul><li>
Pipeline Hardening: Build security guardrails directly into our CI/CD pipelines. Ensure that every deployment, whether manual or agent-driven, is automatically scanned, verified, and compliant.</li><li>
Automated Verification: Establish workflows where our agents can test their own code and infrastructure changes against security policies before deploying to production environments.</li><li>
Infrastructure as Code (IaC): Lead the implementation of &quot;Compliance as Code.&quot; Automate the auditing and enforcement of security configurations across our AWS, GCP &amp; neocloud footprints.</li></ul>
2. Supply Chain Security for Automated Research<ul><li>
Provenance and Integrity: In an environment where we rely heavily on automated coding agents, build systems to ensure the provenance of code and dependencies. Implement robust signing, SBOM (Software Bill of Materials) generation, and automated vulnerability management.</li><li>
Agent Sandbox Security: Define and enforce security models for our research agents. Ensure that agents have the &quot;least privilege&quot; access required to execute experiments while remaining isolated from sensitive IP and credentials.</li></ul>
3. Multi-Cloud Research Infrastructure<ul><li>
Compute Security: Manage the security architecture for our high-compute research environments. We operate in a multi-cloud ecosystem; you will be responsible for consistent, zero-trust network segmentation and identity management across disparate cloud providers.</li><li>
Research Data Protection: Develop and maintain the data handling protocols necessary for working with pre-publication research and potentially sensitive model weights.</li></ul>
4. Enabling Frontier Access<ul><li>
Compliance as a Competitive Advantage: Partner with AI labs to navigate security audits. You will bridge the gap between our &quot;move fast&quot; research culture and the high-bar security requirements of frontier model providers, turning compliance into an accelerator for our research agenda.</li></ul><h2 class="jobSectionHeader">
You May Be a Good Fit If You</h2><ul><li>
Are a seasoned security engineer who writes code, with deep experience in Terraform, Kubernetes, and CI/CD tools (GitHub Actions, GitLab CI).</li><li>
Have managed security across multiple cloud providers (AWS / GCP / neoclouds) and understand the nuance of securing ephemeral, high-compute research clusters.</li><li>
Take a pragmatic approach to modern software supply chains and understand the unique risks of AI-driven development and how to mitigate them without killing velocity.</li><li>
Understand the threat model of a high-value target for state-level actors and IP theft, and can build systems robust against sophisticated adversaries.</li><li>
Can explain complex security trade-offs to lead researchers and scientists, saying &quot;yes, safely&quot; rather than just &quot;no.&quot;</li><li>
Are willing to use AI tools aggressively in your own workflow, with appropriate care to not get fooled!</li><li>
Are motivated by alignment of artificial superintelligence (ASI) and want to contribute to it full-time.</li></ul><h2 class="jobSectionHeader">
Why This Role is Unique</h2>
At this organization, &quot;Corporate Security&quot; is a separate function. This role is focused on the Research Infrastructure. You will be working at the frontier of how automated alignment research is actually done. You will be building the security primitives for a new way of doing science: one where humans and machines collaborate to solve the most important problem of the 21st century.<h1 class="jobSectionHeader">
Logistics</h1>
Salary: Your salary depends on the scope, autonomy, and impact we expect you to have while working at Resolution. The expected range of in-person salaries for this role is:<ul><li>
L4 (SWE II): $346,000
</li><li>L5 (Senior SWE): $451,000
</li><li>L6 (Staff SWE): $670,000
</li><li>L7 (Senior Staff SWE): $930,000
</li></ul>We level using an internal adaptation of Google's standard levelling; the band above is indicative of where a strong candidate might come in.
Location: Berkeley, California. Remote may be considered in exceptional cases.
Benefits:<ul><li>
5 weeks of paid vacation per year, in addition to public holidays.</li><li>
Comprehensive healthcare insurance (medical, dental, vision).</li><li>
Unlimited sick leave to prioritize your well-being.</li><li>
An unconditional 401(k) contribution equal to 4% of your salary.</li></ul>
Visa sponsorship: We can sponsor visas for relocation to Berkeley.
Minimum education: A bachelor's degree in a field relevant to the role, or an equivalent combination of education, training, and/or professional experience that demonstrates comparable knowledge.
Deadline: Applications are rolling &mdash; please apply ASAP. We'll respond to applications within one week of receipt.
Start date: ASAP.
Compensation Range: $346K - $930K</div>

Security Engineer (Research Infrastructure)

Elsevier

<div>Quality Test Engineer III
 Are you passionate about ensuring high-quality software through robust testing and automation strategies?
Do you enjoy identifying defects early and improving systems to deliver seamless, reliable user experiences? 
About the team:
The Search and AI Platform is Elsevier's agentic data platform, which powers products such as Scopus, ScienceDirect, and our next-generation AI-powered search systems.
The platform uses agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data to deliver insights to the scientific community so they can collaborate more effectively, work smarter, and deliver quality research more quickly.
About the role:
We are looking for a Quality Engineer to join the Search and AI Platform team. This is a hands-on, automation-first role focused on API and service-level testing, with quality embedded throughout the development lifecycle rather than validated at the end.
You will work closely with software engineers, quality engineers and technical leads to ensure our search and retrieval services are reliable, scalable, and safe to consume by downstream product teams. You will be able to analyse complex systems, contribute meaningfully to engineering discussions, and take clear ownership of quality outcomes across your areas of the platform. 
Key Responsibilities:
<ul><li>Design, implement, and maintain automated test suites for APIs and backend services using Karate, Cucumber with RestAssured.
</li><li>Write clean, maintainable, and reliable automated tests in Java that provide fast, accurate feedback to the team.
</li><li>Validate functional and non-functional behaviour of search and retrieval services, including error handling, reliability, and service interactions.
</li><li>Contribute to contract testing and service-level testing strategies across our REST and evolving GraphQL APIs.
</li><li>Integrate and maintain automated tests within CI/CD pipelines, supporting testing at multiple levels of the stack.
</li><li>Use observability tooling such as New Relic and logging to support diagnosis, monitoring, and quality analysis.
</li><li>Technically analyse problems and proposed solutions, recognising the right level of detail and abstraction to contribute to and lead engineering discussions.
</li><li>Contribute to incident reviews and post-mortems, improving test coverage to prevent repeat issues.
</li><li>Work with engineers early in the development process to shape acceptance criteria, surface edge cases, and improve overall testability.
</li></ul>Requirements:
You are a quality engineer with solid hands-on automation experience who thrives working closely with software engineers. You see testing as an engineering discipline and take pride in building quality in from the start rather than validating at the end. You are collaborative, take ownership of your work, and are comfortable contributing to technical discussions.
<ul><li>Good years of experience in software testing or quality engineering.
</li><li>Strong experience of API testing and/or contract testing, data formats, and service interactions.
</li><li>Strong coding and scripting ability in Java.
</li><li>Hands-on experience with Karate, Cucumber with RestAssured.
</li><li>Good exposure to CI/CD pipelines, supporting the integration of testing at various levels of the stack.
</li><li>Exposure to observability tooling such as New Relic or logging.
</li><li>The ability to technically analyse a problem and a solution, recognising the right level of detail and abstraction to lead discussions.
</li><li>Willingness to take ownership of assigned areas and continuously improve quality outcomes.
</li><li>Experience working in Agile/Scrum teams.
 </li></ul>Nice to Have
<ul><li>Performance testing experience.
</li><li>Familiarity with GraphQL APIs and service-level or contract testing approaches.
</li><li>Experience testing shared services or internal platforms.
</li><li>Knowledge of Kubernetes (EKS).
</li><li>Interest in search, AI, or data-oriented systems.
</li></ul>Why Join Us?
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
Work in a way that works for you 
 
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
<ul><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
</li></ul>Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
<ul><li>Comprehensive Pension Plan
</li><li>Generous vacation entitlement and option for sabbatical leave
</li><li>Maternity, Paternity, Adoption and Family Care Leave.
</li><li>Personal Choice budget
</li><li>Internal communities and networks
</li><li>Various employee discounts
</li><li>Recruitment introduction reward
</li><li>Employee Assistance Program (global)
</li></ul>About the business-
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world&rsquo;s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world . 

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Quality Test Engineer III

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