senior research engineer

AI Security Institute

<div><h3 class="jobSectionHeader"><b>Application Process &amp; Requirements:</b></h3><p><b>
Interview Process</b></p><ul><li><b>
Technical roles: </b>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><b>
Non-technical roles: </b>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><p><b>
Nationality Requirements &amp; Visas</b></p><ul><li><b>
Technical roles:</b> we can hire almost all nationalities and sponsor visas.
</li><li><b>Non-technical roles: </b>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><p><b>
National Security Vetting<br>
</b><br>
</p><ul><li>Requirements vary by role and <b>not all roles require vetting; check each job ad.</b></li><li>
Counter Terrorism Check (CTC) and Security Clearance (SC) <b>vettings usually require 2+ years of recent UK residency</b>. Developed Vetting (DV) clearances usually require 10+ years.</li></ul><p><b>
Technical Salaries</b></p><br>
<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>
<br><div><div><h2 class="jobSectionHeader"><b>About the AI Security Institute</b></h2>
<p>
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.</p>
<p>
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.</p></div><div><h2 class="jobSectionHeader"><b>
The deadline for applying to this role is Sunday 19th July 2026, end of day, anywhere on Earth.</b></h2>
<h2 class="jobSectionHeader"><br>
<b>About the Team:</b></h2>
<p>
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.</p>
<p>
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.</p><br>
<p></p>
<h2 class="jobSectionHeader"><b>
What you might work on:</b></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>
<p>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.</p><h2 class="jobSectionHeader"><b><br>
</b></h2>
<h2 class="jobSectionHeader"><b>Role Summary:</b></h2>
<div>
<p>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.</p>
<p>
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.</p>
<p>
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.</p><br>
<p></p>
</div>
<h2 class="jobSectionHeader"><b>Responsibilities:</b></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><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Profile requirements:</b></h2>
<p>
You may be a good fit if you have <i>some</i> of the following skills, experience, and attitudes:</p>
<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>
<p>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.</p>
<h2 class="jobSectionHeader"><b>
Desired experience:</b></h2>
<p>
We additionally may factor in experience with areas like:</p>
<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"><b>Key Competencies:</b></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><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Security Clearance:</b></h2>
<p>
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.</p></div><p></p><div><h2 class="jobSectionHeader"><b><br>
What We Offer</b></h2>
<p><b>
Impact you couldn't have anywhere else</b></p>
<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>
<p><b>Resources &amp; access</b></p>
<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>
<p><b>Growth &amp; autonomy</b></p>
<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>
<p><b>Life &amp; family*</b></p>
<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><br>
</ul>
<ul><li><i>These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments.</i></li></ul>
<h2 class="jobSectionHeader"><b>
Salary</b></h2>
<p>
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.</p>
<p>
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.</p>
<p>
The full range of salaries are available below:</p>
<ul>
<li><b>Level 3:</b> &pound;65,000&ndash;&pound;75,000 (Base &pound;39,850 + Technical Allowance &pound;25,150&ndash;&pound;35,150)</li>
<li><b>Level 4:</b> &pound;85,000&ndash;&pound;95,000 (Base &pound;47,355 + Technical Allowance &pound;37,645&ndash;&pound;47,645)</li>
<li><b>Level 5:</b> &pound;105,000&ndash;&pound;115,000 (Base &pound;61,620 + Technical Allowance &pound;43,380&ndash;&pound;53,380)</li>
<li><b>Level 6:</b> &pound;125,000&ndash;&pound;135,000 (Base &pound;74,605 + Technical Allowance &pound;50,395&ndash;&pound;60,395)</li>
<li><b>Level 7:</b> &pound;145,000 (Base &pound;74,605 + Technical Allowance &pound;70,395)</li></ul><br>
<p></p>
<p></p>
<h4 class="jobSectionHeader"><b>Additional Information</b></h4>
<div><div><h3 class="jobSectionHeader"><b>Use of AI in Applications</b></h3>
<p>
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.</p>
<h3 class="jobSectionHeader"><b>
Internal Fraud Database</b></h3>
<p>
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.</p>
<h3 class="jobSectionHeader"><b>
Security</b></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"><b>Nationality requirements</b></h3>
<p>
We may be able to offer roles to applicant from <b>any nationality or background</b>. As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window).</p>
</div>
<div><h3 class="jobSectionHeader"><b>Working for the Civil Service</b></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"><b>Diversity and Inclusion</b></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

DeepMind

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></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><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></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).<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></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.<br>
<br>
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.<br>
<br>
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"><b>
Responsibilities</b></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

Invesco

<div><p>As one of the world&rsquo;s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.</p><p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p></p><p><b>
We have an outstanding benefits package which includes:</b></p><div><div><div><div><div><div><div><div><div><ul><li><p>
Company-provided healthcare</p></li><li><p>
A competitive annual leave allowance</p></li><li><p>
Flexible working options, including hybrid working arrangements</p></li><li><p>
Generous pension provisions</p></li><li><p>
Income protection</p></li><li><p>
Health and wellness benefits</p></li><li><p>
Volunteering days</p></li><li><p>
Enhanced parental leave</p></li><li><p>
Life insurance</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><p><b>
Your role:</b></p><p>
We are seeking a Senior Engineer, Investment Technology to design, build, and support capabilities for the Invesco ETF platform, including applications and workflows that power portfolio construction, trading, analytics, and operational processes across Equities, Fixed Income, and Alternatives.</p><p></p><p>
This role will partner closely with portfolio managers, quantitative researchers, and business teams to deliver scalable, high-performance solutions that support both technology-owned platforms and business-driven workflows (e.g., co-developed tools such as dashboards and portfolio management utilities). The engineer will play a key role in modernizing the platform architectures while improving data pipelines, system reliability, and development standards.</p><p></p><p>
You will work in a fast-paced environment requiring strong expertise in data engineering, application development, and distributed systems, with a focus on building resilient, production-grade solutions and reducing operational risk. The role requires a hands-on mindset, strong ownership, and the ability to collaborate across global teams to drive delivery and continuous improvement. The role reports to Associate Director, Investment Technology supporting the ETFs business.</p><p></p><p><b>
What you will be doing:</b></p><ul><li><p>
AI‑accelerated engineering: institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‑generated code.</p></li><li><p>
Design, build, and maintain data engineering workflows and platform services supporting the Vision platform and model delivery ecosystem</p></li><li><p>
Develop and extend platform components responsible for data ingestion, transformation, validation, and routing across internal and external systems</p></li><li><p>
Build robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelines</p></li><li><p>
Design and optimize SQL-based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ETL workflows.</p></li><li><p>
Implement and support distributed, event-driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution.</p></li><li><p>
Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora).</p></li><li><p>
Design and operate CI/CD pipelines and deployment processes to ensure reliable and repeatable releases.</p></li><li><p>
Ensure data quality, auditability, and observability through logging, monitoring, lineage tracking, and validation frameworks</p></li><li><p>
Collaborate closely with investment teams to translate portfolio construction, risk, and analytics requirements into scalable technical solutions.</p></li><li><p>
Continuously improve the platform through modern engineering practices, including testing, performance optimization, and AI-assisted development.</p></li><li><p>
Participate in production support and on-call rotation as needed.</p></li></ul><p></p><p><b>
What you will bring:</b></p><ul><li><p>
Proven hands-on experience in software engineering or data engineering (financial services or asset management experience preferred).</p></li><li><p>
Proven Python experience, including data processing, APIs, or service-based architecture.</p></li><li><p>
Proven SQL experience (PostgreSQL, SQL Server, and/or Snowflake), including performance tuning and ETL workflows.</p></li><li><p>
Experience with cloud-native development (AWS) and containerized environments. ,</p></li><li><p>
Experience with CI/CD, DevOps practices, and automated testing.</p></li><li><p>
Exposure to portfolio analytics, risk models, or investment workflows preferred.</p></li><li><p>
AI‑assisted development fluency: daily use of AI tools for coding, test generation, refactoring, documentation, and design exploration&mdash;plus the ability to evaluate/correct AI‑generated code for security, performance, and maintainability.</p></li><li><p>
Understanding of data engineering principles (data modeling, pipelines, validation, lineage, error handling).</p></li><li><p>
Familiarity with distributed systems and event-driven architecture (e.g., Kafka, asynchronous processing).</p></li><li><p>
Bachelor&rsquo;s in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferred</p></li><li><p>
CFA, CPA, CIPM, CAIA, and/or FRM preferred, but not required</p></li><li><p>
Problem-solving skills and the ability to operate in a fast-paced, high-impact environment.</p></li></ul><p></p><p><b>
Disability Confident Scheme :</b></p><p>
Applicants who opt in to the Disability Confident Scheme and meet the &lsquo;minimum criteria&rsquo; for the role will be offered an interview. We are committed to providing an inclusive recruitment process for all candidates who make an application. By opting-in to this scheme, applicants will be disclosing that they have a disability solely for the purpose of the Disability Confident Scheme.</p><p>
The Disability Confident Scheme only guarantees an interview &ndash; it does not automatically mean that applicants interviewed will gain employment with Invesco at that time.</p><p>
To apply through the Disability Confident Scheme, you&rsquo;ll need to firstly ensure you have applied for the role via our external careers page. Following this, you&rsquo;ll need to email us at EMEA-TalentAcquisition@invesco.com confirming your wish to opt-in, alongside your contact details and the title of the role you wish to apply for.</p><p></p><h1 class="jobSectionHeader"><b>
Full Time / Part Time</b></h1><p></p>
Full time<p></p><h1 class="jobSectionHeader"><b>
Worker Type</b></h1><p></p>
Employee<p></p><h1 class="jobSectionHeader"><b>
Job Exempt (Yes / No)</b></h1><p></p>
Yes<br>
<h1 class="jobSectionHeader"><b>
Workplace Model</b></h1><p><br>
Pursuant to Invesco&rsquo;s Workplace Policy, employees are expected to comply with the firm&rsquo;s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in the role's advertised office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other&rsquo;s growth and development.</p><p></p><p>
If this sounds like you, we&rsquo;d love to hear from you! We want all of our candidates to shine during the application and selection process, so if you need any adjustments to be made, please send an e-mail to emea-talentacquisition@invesco.com. Please include your name, the job you are interested in, and the type of adjustment you need (for example; breaks during your interview, remote interviews, additional time for assessments or other required adjustments)</p><p></p><p>
We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work.</p><p></p><p><b>
Our commitment to the community and environmental, social and governance investing:</b><br>
We partner with charitable organisations globally to make an impact in the communities where we live and work. Our people are encouraged to support the charities they feel most passionate about. We are also committed to environmental, social and governance (ESG) investing. We serve our clients in this space as a trusted partner both on specific responsible investment product strategies as well as part of our commitment to deliver a superior investment experience.</p><p></p><p><b>
Recruitment Agencies:</b><br>
Invesco has an in-house recruitment team, which focuses on sourcing great candidates directly. Invesco will not accept unsolicited resumes from agency or search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired. When we do use agencies, we have a PSL in place, so please do not contact hiring managers directly.</p><p></p><p><b>
Regulatory:</b><br>
This position may fall in-scope of one or multiple regimes/directives.</p></div><p></p>

Senior ETF Engineer, Investment Technology

venkatesh.j@terralogic.com

<p>At Terralogic Solutions Inc., we bridge the gap between complex infrastructure and seamless deployment. We are looking for a visionary <b>Senior DevOps Specialist</b> who views infrastructure as code and development pipelines as an art form. If you thrive on optimizing delivery cycles, automating everything move-able, and building bulletproof deployment systems, you will fit right in.</p><p><b>What You Will Do</b></p><ul><li><b>Architect</b> and advance robust CI/CD pipelines with heavy focus on Jenkins.</li><li><b>Streamline</b> software delivery by automating complex build and release processes.</li><li><b>Collaborate</b> with global engineering teams to improve system reliability.</li><li><b>Maintain</b> infrastructure scalability while troubleshooting deployment bottlenecks.</li><li><b>Innovate</b> security integrations directly into our automated workflows.</li></ul><p><b>What You Bring</b></p><ul><li><b>Experience:</b> 5+ years of dedicated DevOps engineering experience in production environments.</li><li><b>Jenkins Mastery:</b> Mandatory, deep expertise in Jenkins development, pipeline-as-code, and plugin management.</li><li><b>Location:</b> Physically located in the <b>United Kingdom</b> (London preferred, but open to any UK location).</li><li><b>Work Authorization:</b> Full, pre-existing legal right to work in the UK without requiring employer visa sponsorship.</li><li><b>Tech Stack Skills:</b> Strong proficiency in cloud infrastructure, containerization, and configuration management tools.</li></ul><p><b>Why You Will Love Working Here</b></p><ul><li><b>True Remote Freedom:</b> Work from anywhere in the UK with a schedule built around trust and output.</li><li><b>London Connectivity:</b> Option to connect with local team members if you are based in or near the capital.</li><li><b>Impact &amp; Ownership:</b> Lead the charge on our automation strategy with the autonomy to implement your ideas.</li><li><b>Continuous Growth:</b> Access to cutting-edge technologies and support for professional certifications.</li></ul><p>Pay: &pound;70,000.00-&pound;90,000.00 per year</p><p>Application question(s):</p><ul><li>Please mention your salary requirement</li><li>How soon can you join if we offer a position</li><li>Are you willing to take on this job through a consulting agreement with a USA-based entity?</li></ul><p>Experience:</p><ul><li>DevOps: 5 years (required)</li></ul><p>Language:</p><ul><li>English (required)</li></ul><p>Work authorisation:</p><ul><li>United Kingdom (required)</li></ul><p>Location:</p><ul><li>London, Greater London (preferred)</li></ul><p>Work Location: Remote</p>

Senior Design Engineer

Bloomberg

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 Location
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 London
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 Business Area
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 Engineering and CTO
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 Ref #
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 10049302
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 <strong>
  Description &amp; Requirements
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 </strong>
 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.
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 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.
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 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.
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 We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications.
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 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.
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  Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to:
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   Architect, build, and diagnose multi-tenant AI platform systems
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   Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
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   Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
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   Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
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   Design CI/CD automation frameworks that incorporate regulatory requirements
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   Develop cloud-native deployment patterns for AI systems across environments
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   Troubleshoot and debug user issues
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   Provide operational and user-facing documentation
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  </li>
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  We are looking for a Senior ML Platform Engineer with:
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   Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
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   Experience designing cloud-native, distributed platforms
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   Strong knowledge of Kubernetes, Argo, and container orchestration technologies
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   Previous experience with modern CI/CD tools and GitOps workflows
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   Familiarity with implementing automation for model development lifecycles
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   A proactive mentality and ability to collaborate with peers, stakeholders, and management
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   A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
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   An understanding of Computer Science fundamentals such as data structures and algorithms
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  </li>
 </ul>
 We give back to the technology community and you can read more about our outreach at:
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 <br/>
 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.
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 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

Resolution

<div><h1 class="jobSectionHeader"><b>About </b><b>Resolution</b></h1><p>
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 <i>a priori</i> 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.</p><p>
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.</p><p>
For more information, see our announcement.</p><h1 class="jobSectionHeader"><b>
About the Team</b></h1><p>
Resolution's work will involve sensitive frontier-relevant research and partnerships with AI labs. This role exists both to protect that work and to <i>enable</i> it: good security is what makes deeper lab partnerships possible. We draw a distinction between two closely related areas of security:</p><ul><li><p><b>
Research &amp; infrastructure security.</b> Securing how research actually runs: CI/CD pipelines, automated research agents, multi-cloud compute, and code/data/model-weight handling.</p></li><li><p><b>
Corporate IT &amp; security.</b> The endpoint, identity, and collaboration scaffolding a distributed research org runs on, in combination with the compliance frameworks that unlock lab partnerships.</p></li></ul><p>
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).</p><p>
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.</p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
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.</p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><p><b>
1. Secure DevSecOps &amp; CI/CD Orchestration</b></p><ul><li><p><b>
Pipeline Hardening:</b> Build security guardrails directly into our CI/CD pipelines. Ensure that every deployment, whether manual or agent-driven, is automatically scanned, verified, and compliant.</p></li><li><p><b>
Automated Verification:</b> Establish workflows where our agents can test their own code and infrastructure changes against security policies before deploying to production environments.</p></li><li><p><b>
Infrastructure as Code (IaC):</b> Lead the implementation of &quot;Compliance as Code.&quot; Automate the auditing and enforcement of security configurations across our AWS, GCP &amp; neocloud footprints.</p></li></ul><p><b>
2. Supply Chain Security for Automated Research</b></p><ul><li><p><b>
Provenance and Integrity:</b> 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.</p></li><li><p><b>
Agent Sandbox Security:</b> 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.</p></li></ul><p><b>
3. Multi-Cloud Research Infrastructure</b></p><ul><li><p><b>
Compute Security:</b> 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.</p></li><li><p><b>
Research Data Protection:</b> Develop and maintain the data handling protocols necessary for working with pre-publication research and potentially sensitive model weights.</p></li></ul><p><b>
4. Enabling Frontier Access</b></p><ul><li><p><b>
Compliance as a Competitive Advantage:</b> 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.</p></li></ul><h2 class="jobSectionHeader"><b>
You May Be a Good Fit If You</b></h2><ul><li><p>
Are a seasoned security engineer who writes code, with deep experience in Terraform, Kubernetes, and CI/CD tools (GitHub Actions, GitLab CI).</p></li><li><p>
Have managed security across multiple cloud providers (AWS / GCP / neoclouds) and understand the nuance of securing ephemeral, high-compute research clusters.</p></li><li><p>
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.</p></li><li><p>
Understand the threat model of a high-value target for state-level actors and IP theft, and can build systems robust against sophisticated adversaries.</p></li><li><p>
Can explain complex security trade-offs to lead researchers and scientists, saying &quot;yes, safely&quot; rather than just &quot;no.&quot;</p></li><li><p>
Are willing to use AI tools aggressively in your own workflow, with appropriate care to not get fooled!</p></li><li><p>
Are motivated by alignment of artificial superintelligence (ASI) and want to contribute to it full-time.</p></li></ul><h2 class="jobSectionHeader"><b>
Why This Role is Unique</b></h2><p>
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.</p><h1 class="jobSectionHeader"><b>
Logistics</b></h1><p><b>
Salary:</b> 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:</p><ul><li><p>
L4 (SWE II): $346,000
</p></li><li><p>L5 (Senior SWE): $451,000
</p></li><li><p>L6 (Staff SWE): $670,000
</p></li><li><p>L7 (Senior Staff SWE): $930,000
</p></li></ul><p>We level using an internal adaptation of Google's standard levelling; the band above is indicative of where a strong candidate might come in.</p><p><b>
Location:</b> Berkeley, California. Remote may be considered in exceptional cases.</p><p><b>
Benefits:</b></p><ul><li><p>
5 weeks of paid vacation per year, in addition to public holidays.</p></li><li><p>
Comprehensive healthcare insurance (medical, dental, vision).</p></li><li><p>
Unlimited sick leave to prioritize your well-being.</p></li><li><p>
An unconditional 401(k) contribution equal to 4% of your salary.</p></li></ul><p><b>
Visa sponsorship:</b> We can sponsor visas for relocation to Berkeley.</p><p><b>
Minimum education:</b> 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.</p><p><b>
Deadline:</b> Applications are rolling &mdash; please apply ASAP. We'll respond to applications within one week of receipt.</p><p><b>
Start date:</b> ASAP.</p><p>
Compensation Range: $346K - $930K</p></div>

Security Engineer (Research Infrastructure)

Hyper Recruitment Solutions

<div>
 <strong>
  Role Overview
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  <br/>
 </strong>
 We are currently looking for a Machine Learning Engineer to join a pioneering research organisation dedicated to advancing drug discovery through innovative approaches to disordered proteins. This is an exciting opportunity for a candidate with a strong industrial background and a passion for applying machine learning to complex biological problems. Based at their modern facility, you will play a key role in driving forward cutting-edge research in a dynamic, open-source environment.
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 In this position, you will be responsible for developing and deploying machine learning models specifically tailored to tackle the challenges presented by highly dynamic and disordered proteins, with a particular focus on NMR data. You will work independently within a small, autonomous team, influencing research directions and interpreting self-generated data to uncover new insights in this emerging scientific frontier.
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 <strong>
  Key Duties And Responsibilities
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 Your duties as the Machine Learning Engineer will be varied, however the key duties and responsibilities are as follows:
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   Develop and implement machine learning models to analyse complex biological data, particularly focusing on disordered proteins.
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   Collaborate with scientific teams to interpret data, draw insights, and refine experimental approaches based on model findings.
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   Engage directly with real biological problems, balancing modelling expertise with practical, applied research.
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   Use your technical knowledge to drive projects independently within a small, open-source environment, ensuring results are meaningful and impactful.
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   As the Machine Learning Engineer, you will be pivotal in translating scientific challenges into effective computational solutions.
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  Role Requirements
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 </strong>
 To be successful in your application to this exciting role as the Machine Learning Engineer we are looking to identify the following on your profile and past history:
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   A Degree or higher level in a relevant field (e.g., Computer Science, Data Science, Bioinformatics) with proven applied experience.
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   Demonstrated industrial experience in developing machine learning solutions within biological or biochemical research settings.
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   Strong understanding of disordered proteins, protein dynamics, and limitations of static techniques like NMR.
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   Proven ability to work independently, drive projects forward, and influence research directions within small, autonomous teams.
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  </li>
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 <strong>
  WHAT&rsquo;S IN IT FOR YOU?
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 This is a rare opportunity to contribute to groundbreaking research in drug discovery at a forward-thinking, non-profit organisation. You will benefit from a collaborative, open-source environment with significant influence over scientific direction, paired with a competitive salary package and the potential for sponsorship if required. Working four days on-site offers excellent work-life balance, within a state-of-the-art facility supported by recent government funding.
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 Key Words:
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  Machine Learning
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  Bioinformatics
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  Disordered Proteins
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  NMR
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  Applied Research
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  Autonomy
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  Biological Data Analysis
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  Open Source
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  Innovation
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  Drug Discovery
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 "Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the STEM sectors, combining recruitment expertise with scientific knowledge to help you advance your career".
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Machine Learning Engineer

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