research 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

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

Polymodal

<div>
 
 
 Every role at Polymodal is dual: founding platform builder first, with a ML research and signal intelligence edge that shapes the platform.
 
 
 
 
 
 
 As agents take on more execution, the platform needs models that understand behavior, predict action, and improve from its own data. You'll build the signal intelligence that makes the platform adaptive.
 
 
 
 
 
 Stack: Python/Rust, classifiers, eval pipelines, tiny predictive models, local / edge inference, inference routing, and world models for action prediction.
 
 
 What you'll own
 <ul>
 <li>
 Turn behavioral data into fast, tiny, useful models.
 </li>
 <li>
 Build and ship ML classifiers over agent and host telemetry.
 </li>
 <li>
 Build training/eval pipelines on our own data.
 </li>
 <li>
 Package models as production services (API, batch, edge).
 </li>
 <li>
 Optimize inference cost and latency: quantization, distillation, batching, caching.
 </li>
 <li>
 Partner with data engineering to turn raw signal into model-ready features.
 
 </li>
 </ul>
 About you
 <ul>
 <li>
 You care about models that survive production, not just notebooks or benchmarks.
 </li>
 <li>
 You turn messy behavioral data into hypotheses, evals, and shipped systems.
 </li>
 <li>
 You move fast without losing scientific honesty.
 </li>
 <li>
 You work well where research, product, and systems blur.
 
 </li>
 </ul>
 Must-haves
 <ul>
 <li>
 You use AI as part of your own research and engineering loop, not as a side tool.
 </li>
 <li>
 You have shipped ML into production and owned it end to end.
 </li>
 <li>
 Strong in Python/Rust and a modern ML framework (PyTorch or TensorFlow).
 </li>
 <li>
 Background in anomaly detection, sequence, or behavioral modeling.
 </li>
 <li>
 Experience with edge, embedded, or low-latency inference.
 
 </li>
 </ul>
 Nice-to-haves
 <ul>
 <li>
 Experience with small-model training, distillation, or quantization.
 </li>
 <li>
 Publications, notable GitHub work, or hard side projects.
 
 </li>
 </ul>
 About Polymodal
 
 Polymodal is a funded pre-seed company building the operating layer for agent-executed organizations. We closed our pre-seed in May 2026, backed by Lunar Ventures, Wind Capital, Volve Capital, and early-stage angels. We are early enough for every hire to shape the company, and real enough that the work must survive customers, scale, security, and trust.
 
 
 Co-founders &amp; team
 
 You'll build directly with Joep (3x founder, cybersecurity), Sean (former CISO at Slack/Reddit/Bumble), Edo (2x founder in AR/XR and multi-agent systems), and Atul (founder, cybersecurity). We are future-facing, execution-focused, daring, and human.
 
 
 Our offer
 <ul>
 <li>
 Competitive salary and meaningful early equity, so you share real ownership.
 </li>
 <li>
 A chance to define a new category while product, architecture, and company are still malleable.
 </li>
 </ul>
 
 
 
</div>

Machine Learning 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

Hyper Recruitment Solutions

<div>
 
 Role Overview
 
 
 
 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.
 
 
 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.
 
 
 
 Key Duties And Responsibilities
 
 
 
 Your duties as the Machine Learning Engineer will be varied, however the key duties and responsibilities are as follows:
 
 
 <ul>
 <li>
 Develop and implement machine learning models to analyse complex biological data, particularly focusing on disordered proteins.
 </li>
 <li>
 Collaborate with scientific teams to interpret data, draw insights, and refine experimental approaches based on model findings.
 </li>
 <li>
 Engage directly with real biological problems, balancing modelling expertise with practical, applied research.
 </li>
 <li>
 Use your technical knowledge to drive projects independently within a small, open-source environment, ensuring results are meaningful and impactful.
 </li>
 <li>
 As the Machine Learning Engineer, you will be pivotal in translating scientific challenges into effective computational solutions.
 
 
 </li>
 </ul>
 
 Role Requirements
 
 
 
 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:
 
 
 <ul>
 <li>
 A Degree or higher level in a relevant field (e.g., Computer Science, Data Science, Bioinformatics) with proven applied experience.
 </li>
 <li>
 Demonstrated industrial experience in developing machine learning solutions within biological or biochemical research settings.
 </li>
 <li>
 Strong understanding of disordered proteins, protein dynamics, and limitations of static techniques like NMR.
 </li>
 <li>
 Proven ability to work independently, drive projects forward, and influence research directions within small, autonomous teams.
 
 
 </li>
 </ul>
 
 WHAT&rsquo;S IN IT FOR YOU?
 
 
 
 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.
 
 
 Key Words:
 
 Machine Learning
 
 /
 
 Bioinformatics
 
 /
 
 Disordered Proteins
 
 /
 
 NMR
 
 /
 
 Applied Research
 
 /
 
 Autonomy
 
 /
 
 Biological Data Analysis
 
 /
 
 Open Source
 
 /
 
 Innovation
 
 /
 
 Drug Discovery
 
 
 
 "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".
</div>

Machine Learning Engineer

Invesco

<div>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.<h1 class="jobSectionHeader">
Job Description</h1>
We have an outstanding benefits package which includes:<div><div><div><div><div><div><div><div><div><ul><li>
Company-provided healthcare</li><li>
A competitive annual leave allowance</li><li>
Flexible working options, including hybrid working arrangements</li><li>
Generous pension provisions</li><li>
Income protection</li><li>
Health and wellness benefits</li><li>
Volunteering days</li><li>
Enhanced parental leave</li><li>
Life insurance</li></ul></div></div></div></div></div></div></div></div></div>
Your role:
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.
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.
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.
What you will be doing:<ul><li>
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.</li><li>
Design, build, and maintain data engineering workflows and platform services supporting the Vision platform and model delivery ecosystem</li><li>
Develop and extend platform components responsible for data ingestion, transformation, validation, and routing across internal and external systems</li><li>
Build robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelines</li><li>
Design and optimize SQL-based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ETL workflows.</li><li>
Implement and support distributed, event-driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution.</li><li>
Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora).</li><li>
Design and operate CI/CD pipelines and deployment processes to ensure reliable and repeatable releases.</li><li>
Ensure data quality, auditability, and observability through logging, monitoring, lineage tracking, and validation frameworks</li><li>
Collaborate closely with investment teams to translate portfolio construction, risk, and analytics requirements into scalable technical solutions.</li><li>
Continuously improve the platform through modern engineering practices, including testing, performance optimization, and AI-assisted development.</li><li>
Participate in production support and on-call rotation as needed.</li></ul>
What you will bring:<ul><li>
Proven hands-on experience in software engineering or data engineering (financial services or asset management experience preferred).</li><li>
Proven Python experience, including data processing, APIs, or service-based architecture.</li><li>
Proven SQL experience (PostgreSQL, SQL Server, and/or Snowflake), including performance tuning and ETL workflows.</li><li>
Experience with cloud-native development (AWS) and containerized environments. ,</li><li>
Experience with CI/CD, DevOps practices, and automated testing.</li><li>
Exposure to portfolio analytics, risk models, or investment workflows preferred.</li><li>
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.</li><li>
Understanding of data engineering principles (data modeling, pipelines, validation, lineage, error handling).</li><li>
Familiarity with distributed systems and event-driven architecture (e.g., Kafka, asynchronous processing).</li><li>
Bachelor&rsquo;s in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferred</li><li>
CFA, CPA, CIPM, CAIA, and/or FRM preferred, but not required</li><li>
Problem-solving skills and the ability to operate in a fast-paced, high-impact environment.</li></ul>
Disability Confident Scheme :
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.
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.
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.<h1 class="jobSectionHeader">
Full Time / Part Time</h1>
Full time<h1 class="jobSectionHeader">
Worker Type</h1>
Employee<h1 class="jobSectionHeader">
Job Exempt (Yes / No)</h1>
Yes 
<h1 class="jobSectionHeader">
Workplace Model</h1> 
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.
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)
We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work.
Our commitment to the community and environmental, social and governance investing: 
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.
Recruitment Agencies: 
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.
Regulatory: 
This position may fall in-scope of one or multiple regimes/directives.</div>

Senior ETF Engineer, Investment Technology

Worldpay

<div>Ready to take your career global?
Make your mark at one of the biggest names in payments.
We are seeking an experienced Senior ML Software Engineer to join our Data Science Enablement team. You will be the primary software engineering expert for a product area, working as part of a cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production. Your focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to our shared ML platform. You will work closely with cross-functional collaborators&mdash;including ML research engineers, product managers, and platform engineers&mdash;to deliver scalable, reliable, and low-latency ML solutions.
In addition to technical expertise, this job requires strong collaboration skills.
What you&rsquo;ll own
Feature Development &amp; Delivery:<ul><li>
Design, implement, and deploy new features and enhancements to ML products, collaborating with Product and ML Research teams to refine requirements.</li></ul>
Technical Ownership and Stewardship:<ul><li>
Technical ownership of existing and new production ML products in your area, ensuring alignment of technical investments with business goals (in collaboration with a product owner) and engineering best practices.</li><li>
End-to-end technical stewardship of ML products, ensuring ongoing reliability and performance.</li></ul>
Contribute to ML platform:<ul><li>
Contribute to the evolution of the shared ML platform alongside other engineers to drive best practices and shared tooling across all products.</li></ul>
Operational Excellence:<ul><li>
Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging, ensuring high operational standards.</li><li>
Conduct comprehensive code reviews to enforce coding standards, improve code quality, and share knowledge.</li></ul>
Continuous Improvement:<ul><li>
Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.</li></ul>
Release Management:<ul><li>
Oversee pre-release testing, coordinate releases and ensure smooth enablement of new features.</li></ul>
Leadership:<ul><li>
Provide technical guidance and support to other engineers and data scientists to solve complex technical challenges.</li><li>
Mentor and coach other engineers, supporting their professional growth.</li><li>
Foster a culture of collaboration, continuous improvement, and knowledge sharing.</li></ul>
Act Like an Owner:<ul><li>
Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity.</li><li>
Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.</li></ul>
What you&rsquo;ll bring<ul><li>
5+ years as an ML-focused software engineer, ML Engineer, MLOps Engineer, or similar, with hands-on production experience</li><li>
Proven expertise with ML model deployment, API design, and integration into production environments</li><li>
Strong Python programming and relevant ML/data libraries</li><li>
Experience with containerization, orchestration, and AWS cloud services</li><li>
Building and operating CI/CD pipelines</li><li>
Monitoring, troubleshooting, and optimizing production ML systems</li><li>
Pre-release testing and release management</li><li>
Demonstrated ability to work independently, navigate ambiguity, and deliver results</li><li>
Excellent communication skills and ability to collaborate both within engineering organizations and on cross-functional teams</li><li>
Experience with OpenAPI, FastAPI, or similar</li></ul>
It&rsquo;s a bonus if you have<ul><li>
Experience with MLFlow, model versioning, and storage</li><li>
Familiarity with Databricks or similar platforms</li><li>
Experience supporting high-volume, real-time data products</li><li>
Automated testing and validation frameworks</li><li>
Experience designing and configuring low-latency databases to serve real-time features, such as DynamoDB</li><li>
Experience with Terraform Cloud</li><li>
Experience in large companies, mature engineering teams, and/or highly regulated industries</li><li>
AI-assisted coding experience (e.g. GitHub Copilot)</li></ul>
Why Join Us?<ul><li>
Impact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company&rsquo;s strategy. Your work will directly influence the reliability, scalability, and evolution of critical production systems.</li><li>
Autonomy: Take end-to-end technical ownership of your product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.</li><li>
Collaboration: Join a cross-functional, high-performing team where your expertise is valued and your contributions make a real difference.</li></ul>
About the team
Our inclusive and global teams win together every day. We&rsquo;re proud to have the best minds in the industry, whom you can learn from as you grow your career. The people, the energy, and the connections are unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that transcend borders.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner, and win as one team. We&rsquo;re curious and innovative &ndash; always finding better ways to deliver impact. We empower each other to make decisions, and our passion drives excellence in everything we set out to do.
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.
#LI-AB1</div>

Senior ML Software Engineer

Explore 259+ Research engineer in London this July. Find roles across top companies and apply now to boost your career.