ai engineer

senior software engineer

machine learning engineer

software engineer

full stack engineer

staff software engineer

Visa

<div>About Us 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.
Job Description
Job Summary 
 
Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60&ndash;75% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams &ndash; product managers, designers, data scientists, QA, operations, and compliance &ndash; to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. 
 
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. 
 
Key Responsibilities<ul><li>
Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions.</li><li>
Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines.</li><li>
Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements.</li><li>
Contribute to project estimation, considering delivery costs and escalating issues that may cause delays.</li><li>
Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices.</li><li>
Apply debugging tools to resolve moderately complex issues and identify opportunities for automation across products.</li><li>
Lead code reviews, ensuring adherence to coding standards and providing feedback to team members.</li><li>
Create complex test plans, identify test gaps, and proactively address defects to minimize customer impact.</li><li>
Leverage data analysis and monitoring standards to identify patterns and defects in all environments.</li><li>
Respond to incidents during on-call rotations, troubleshoot complex issues, and assist in incident response and resolution.</li><li>
Build, enhance, and identify new developer tools to support programs and applications.</li><li>
Proactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers.</li></ul>
Qualifications
Basic Qualifications<ul><li>
5+ years of relevant work experience with a Bachelor&rsquo;s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.</li><li>
Experience in software engineering or a directly related field.</li><li>
Experience in developing and/or implementing web-based or mobile applications.</li><li>
Experience in a leadership role with or without direct reports.</li><li>
Experience in technologies/software systems or a directly related field.</li><li>
Experience in creating and maintaining test plans and executing testing procedures.</li><li>
Experience in debugging and troubleshooting software issues.</li><li>
Experience in collaborating with cross-functional teams to deliver technical solutions.</li><li>
Experience in code review and applying coding standards.</li><li>
Experience in building or enhancing developer tools.</li></ul> 
Preferred Qualifications<ul><li>
6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD.</li><li>
Experience working with container-based technologies.</li><li>
Experience building and testing enterprise-scale web services.</li><li>
Experience in product development.</li><li>
Experience working on client-facing project or technical teams.</li></ul>
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Staff Software Engineer

comind

<div>At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world.<h3 class="jobSectionHeader">
The Role:</h3>
The Software Engineering team at CoMind spans the full stack of a regulated medical device company from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that has to perform reliably in clinical environments.
As a Senior/Staff Software Test Engineer, you will define the quality and verification strategy across CoMind&rsquo;s entire software stack from embedded real-time systems to cloud-side data pipelines. You will move beyond task-level execution to architect the infrastructure and 'compliance-as-code' processes that provide the engineering team with high-velocity, high-confidence validation. You will serve as a key technical authority, ensuring our software not only meets stringent IEC 62304 and ISO 14971 standards but does so through sustainable, automated design.
You will function as the technical authority for software quality. Your goal is to move CoMind beyond traditional V&amp;V, architecting a self-validating system that integrates safety, regulatory compliance, and high-velocity development. You will be the bridge between Systems Engineering, Regulatory Affairs, and Software Engineering, ensuring that quality is an inherent attribute of our technology rather than a post-development checklist.
At CoMind, all team members work at least 4 days per week in the office, plus a flexible work-from-home day. This role is based in our London (Kings Cross) office.<h3 class="jobSectionHeader">
Responsibilities:
</h3><ul><li>Architect a scalable, high-fidelity testing infrastructure that enables continuous validation. Champion 'design for testability' across the entire engineering stack, influencing system architecture to ensure critical safety and performance requirements are verifiable by design.</li><li>
Define the end-to-end V&amp;V strategy for the product lifecycle. Quantitatively map software verification evidence directly to system-level safety risks (ISO 14971) to create a 'compliance-as-code' environment that drastically reduces time-to-submission for FDA and other regulatory bodies.</li><li>
Drive a 'quality-first' engineering culture by mentorship. Lead training and initiatives on Test-Driven Development (TDD), CI/CD best practices, and automated quality gates, ensuring that the engineering team&rsquo;s velocity is sustained by high-confidence automated processes.</li><li>
Lead the development of AI-augmented test strategies. Architect predictive anomaly detection systems and AI-driven test generation engines that evolve alongside our software, turning the test suite into an intelligent system that learns from past regressions.</li><li>
Collaborate with engineering leadership to drive continuous improvement in software development and test processes, ensuring that quality practices scale with the organisation.</li><li>
AI is fundamental to our culture &mdash; it's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively.</li></ul><h3 class="jobSectionHeader">
Skills &amp; Experience:</h3><ul><li>
Strategic Execution: 7+ years in software test engineering, with a proven track record of architecting testing strategies for complex, regulated systems (embedded, real-time, or SaMD).</li><li>
Regulatory &amp; Risk Authority: Deep working knowledge of IEC 62304 and ISO 14971. Proven ability to design 'compliance-as-code' workflows that integrate risk controls directly into the CI/CD pipeline and automate regulatory evidence generation.</li><li>
Technical Proficiency: Advanced Python and C/C++; extensive experience building scalable test infrastructure for both embedded hardware and cloud-side data pipelines.</li><li>
Cultural Leadership: Demonstrated success in mentoring software engineers and driving a 'quality-first' culture through TDD, static analysis, and automated quality gates.</li><li>
Cybersecurity &amp; Documentation: Strong experience in cybersecurity requirements (e.g., IEC 81001-5-1, FDA cybersecurity guidance) and rigorous documentation management for regulatory submission.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience testing real-time Linux or RTOS-based products.</li><li>
Background in MLOps, including validation of model drift, dataset governance, and automated performance evaluation.</li><li>
Expertise in managing complex build environments (e.g., CMake, Bazel) or cloud-native infrastructure-as-code (Terraform, AWS/GCP).</li><li>
Direct experience navigating FDA Q-Sub or MHRA pre-submission processes.</li><li>
Experience with hardware-in-the-loop or software-in-the-loop test environments.</li></ul><h3 class="jobSectionHeader">
Benefits:</h3><ul><li>
Company equity plan so all employees share in the success of the company</li><li>
Salary-sacrifice pension scheme</li><li>
Private medical, dental and vision insurance (medical history disregarded)</li><li>
Group life assurance at 4x annual income</li><li>
Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals</li><li>
Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter</li><li>
Lunch voucher (&pound;10) every day for JustEat and free dinner on those days where you need to work later</li><li>
Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks</li><li>
YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores</li></ul>
Compensation Range: &pound;93,681 - &pound;157,778</div>

Staff Software Test Engineer

Reflection

<div>
 
 Our Mission
 
 
 
 Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
 
 
 
 The Roles Mission
 
 
 
 Bridge the gap between research and production by turning cutting-edge algorithms into scalable training systems. You will design and optimize the core infrastructure behind frontier AI models &mdash; from reinforcement learning training loops and distributed GPU training to massive-scale data pipelines.
 
 
 Our systems train models across thousands of GPUs and process petabyte-scale datasets. We care deeply about numerical stability, throughput, and reproducibility.
 
 
 
 What This Team Does
 
 
 
 This team owns and evolves the core infrastructure behind our training systems.
 
 
 
 We Focus On
 
 
 
 <ul>
 <li>
 Reinforcement learning training infrastructure
 </li>
 <li>
 Distributed training and inference systems
 </li>
 <li>
 Experiment infrastructure and reproducibility
 </li>
 <li>
 Large-scale data pipelines
 
 
 </li>
 </ul>
 The goal is to build the engineering foundation that allows researchers to iterate quickly while training models at massive scale.
 
 
 
 About The Role
 
 
 
 You will architect and optimize the core training infrastructure that powers our models. This includes RL training loops, distributed GPU systems, and large-scale data pipelines.
 
 
 You will work closely with researchers to transform new ideas into reliable, scalable training systems.
 
 
 
 Responsibilities Include
 
 
 
 <ul>
 <li>
 Designing and optimizing large-scale training loops and data pipelines.
 </li>
 <li>
 Implementing state-of-the-art techniques and ensuring they are numerically stable and computationally efficient.
 </li>
 <li>
 Building internal tooling for launching, monitoring, and reproducing complex experiments.
 </li>
 <li>
 Diagnosing deep bottlenecks across the training stack (GPU memory issues, communication overhead, dataloader stalls).
 </li>
 <li>
 Translating research prototypes into reusable, production-grade infrastructure.
 
 
 </li>
 </ul>
 
 What You'll Work With
 
 
 
 
 Distributed Training
 
 
 
 <ul>
 <li>
 GPU parallelism (data, tensor, pipeline, expert)
 </li>
 <li>
 Large-scale distributed training infrastructure
 </li>
 <li>
 Communication optimization (NCCL, RDMA, GPU interconnects)
 </li>
 <li>
 FSDP / ZeRO and model sharding
 
 
 </li>
 </ul>
 Orchestration &amp; Runtime Systems
 
 
 <ul>
 <li>
 Ray, Kubernetes, Slurm
 </li>
 <li>
 Distributed runtimes and async systems
 </li>
 <li>
 Containerization and sandboxing
 
 
 </li>
 </ul>
 Frameworks
 
 
 <ul>
 <li>
 PyTorch
 </li>
 <li>
 JAX
 </li>
 <li>
 Megatron-style training stacks
 </li>
 <li>
 Triton / custom kernels
 
 
 </li>
 </ul>
 Data Infrastructure
 
 
 <ul>
 <li>
 Large-scale dataset curation pipelines
 </li>
 <li>
 Deduplication and filtering systems
 </li>
 <li>
 Tokenization and preprocessing
 </li>
 <li>
 Distributed data processing frameworks
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 You are a strong software engineer who speaks the language of machine learning.
 </li>
 <li>
 You may not have a PhD, but you know how to implement a research paper.
 </li>
 <li>
 You have deep experience in at least one of the following: Distributed Training &amp; Inference or Data Infrastructure
 </li>
 <li>
 You enjoy working at the boundary between:
 </li>
 <ul>
 <li>
 Machine learning algorithms
 </li>
 <li>
 Distributed systems
 </li>
 <li>
 High-performance computing
 </li>
 </ul>
 <li>
 You care deeply about performance, numerical stability, and reproducibility.
 </li>
 <li>
 You thrive in high-agency environments and enjoy solving hard technical problems.
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
 
 
 We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
 
 
 <ul>
 <li>
 Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
 </li>
 <li>
 Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
 </li>
 <li>
 Health &amp; wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
 </li>
 <li>
 Meals: Lunch and dinner are provided in the office daily.
 </li>
 <li>
 Life &amp; family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
 </li>
 <li>
 Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
 </li>
 <li>
 Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
 </li>
 <li>
 Team building: We have regular off-sites, happy hours, and team celebrations.
 
 
 </li>
 </ul>
</div>

Member of Technical Staff - Research Software Engineer

Resolution

<div><h1 class="jobSectionHeader">About Resolution</h1>
Resolution does research on how to align artificial superintelligence (ASI). ASI may be developed in the next few years, but it is unclear whether alignment is on track to be ready in the same timeframe. We aim at higher a priori confidence in aligned outcomes by pursuing a portfolio of theory and empirics bets, any one of which &mdash; if it succeeds &mdash; would meaningfully advance the field. We invest heavily in research automation to accelerate progress, and we believe that stronger alignment theory unlocks higher automation: more principled approaches give us better filters for which directions of automated research are promising.
Resolution was founded in 2026 by researchers from UK AISI's Alignment Team, who ran the &pound;30m Alignment Project, and Timaeus, who pioneered applying singular learning theory to alignment.
For more information, see our announcement.<h1 class="jobSectionHeader">
About the Team</h1>
We are hiring Research Engineers across several main focus areas. We expect the boundaries between these areas to be flexible, but please indicate which mode you're more interested in (or &quot;either&quot;) in your application.
Research Automation (primary focus). A cross-cutting function that builds the infrastructure and tooling our researchers use to scale their work, increasingly leveraging fleets of AI research assistants alongside small teams of humans.
Program-embedded Research Engineering (also hiring). Research engineers embedded within one of our research programs (scalable oversight, complexity theory, learning theory, personas, and possible future programs like heuristic arguments or game theory), partnering with researchers on scaling experiments, building program-specific infrastructure, and translating theoretical insights into empirical tools.<h2 class="jobSectionHeader">
About the Role</h2>
Research Engineers at Resolution are core members of our research teams, directly driving both research and the core infrastructure behind it. We believe clean engineering on automation, experimentation, and infra is essential to ambitious research, and that excellence on this front requires active research participation.<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
(Research automation track) Build agentic research infrastructure: experiment orchestration, hypothesis generation, automated analysis pipelines; autoformalization tooling for the theory side; internal AI-powered tools for researchers</li><li>
(Program-embedded track) Scale program experiments to frontier-tier models; build program-specific infrastructure; partner with researchers on engineering and implementation.</li><li>
(Both) Maintain and extend distributed training, experiment, and evaluation infrastructure</li><li>
(Both) Contribute to and maintain shared codebases across the org</li><li>
(Both) Communication of engineering &amp; automation progress, obstacles &amp; learnings to your team and the wider org via Slack and in weekly meetings.</li></ul>
We're on the lookout for excellence, so if you're a cracked engineer who doesn't precisely fit these descriptions, please still apply!<h2 class="jobSectionHeader">
You May Be a Good Fit If You</h2><ul><li>
Have a strong software engineering background, including production-quality Python</li><li>
Have deep experience with ML frameworks (PyTorch or Jax) and distributed-training stacks</li><li>
Have a demonstrated ability to ship complex systems end-to-end</li><li>
Have a Bachelor's degree or equivalent in CS, physics, math, ML, or related</li><li>
Are willing to use AI tools aggressively in your own workflow, with appropriate care to not get fooled!</li><li>
Are motivated by alignment of artificial superintelligence (ASI) and want to contribute to it full-time.</li></ul><h2 class="jobSectionHeader">
Strong Candidates May Also Have</h2><ul><li>
Experience with autoformalization, Lean, or other proof-assistant tooling</li><li>
Background in research infrastructure or ML platform engineering at frontier labs</li><li>
Experience scaling ML systems to 100B+ parameter scale</li><li>
Experience with CUDA kernel development or GPU optimization</li><li>
Familiarity with alignment research</li></ul><h1 class="jobSectionHeader">
Application Process</h1>
Initial screener. A 20-minute conversation with a senior researcher to discuss your research background, motivations, and interests.
Work trial. A 4-hour take-home assignment. We'll collect references in parallel. We'll compensate you for your time, subject to right-to-work constraints.
Work trial review. A 45-minute discussion of your work trial.
Research talk. A 30&ndash;40 minute interactive conversation about your previous research.
Senior 1:1. A 30-minute conversation with a member of our research leadership.<h1 class="jobSectionHeader">
Logistics</h1>
Salary: Your salary depends on the scope, autonomy, and impact we expect you to have while working at Resolution. The expected range of salaries for this role is:<ul><li>
L3 (SWE I): $141,000 remote; $236,000 in-person</li><li>
L4 (SWE II): $208,000 remote; $346,000 in-person</li><li>
L5 (Senior SWE): $270,000 remote; $451,000 in-person</li><li>
L6 (Staff SWE): $402,000 remote; $670,000 in-person</li><li>
L7 (Senior Staff SWE): $738,000 remote; $930,000 in-person</li></ul>
Strong early-career engineers will typically come in at L3. Someone with significant independent research engineering experience would likely start at L4 or L5.
Location: Berkeley, California. Remote may be considered in exceptional cases.
Benefits:<ul><li>
5 weeks of paid vacation per year, in addition to public holidays.</li><li>
Comprehensive healthcare insurance (medical, dental, vision).</li><li>
Unlimited sick leave to prioritize your well-being.</li><li>
An unconditional 401(k) contribution equal to 4% of your salary.</li></ul>
Visa sponsorship: We can sponsor visas for relocation to Berkeley.
Minimum education: A bachelor's degree in a field relevant to the role, or an equivalent combination of education, training, and/or professional experience that demonstrates comparable knowledge.
Deadline: Applications are rolling &mdash; please apply ASAP. We'll respond to applications within one week of receipt.
Start date: ASAP.
Compensation Range: $141K - $930K</div>

Research Engineer

Software Engineer, AI Native Development

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><div>
<div>
<div><div><h2 class="jobSectionHeader">Role Description</h2>

The AI Security Institute's Research Unit is looking for motivated and talented Software Engineers to join AISI's Core Technology Team. We are looking for exceptional candidates at all experience levels, from junior through to senior or staff, to work in small teams on a range of critical research-oriented software and infrastructure.

In this role, you&rsquo;ll work with cutting-edge technologies on research problems with real-world impact, and receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff (including alumni from Anthropic, DeepMind, OpenAI, Google, Apple, and professors from Oxford and Cambridge).
<h3 class="jobSectionHeader">
About our Core Technology Team</h3>

AISI Core Technology Team comprises several teams building tools and infrastructure used across all of our research work. This includes projects like Inspect (our open-source evaluation framework), systems for running evaluations at scale, and hosting frontier open-weights models for evaluations or human studies.

As a software engineer on one of these teams, you might:
<ul>
<li>Add a feature to one of our &ldquo;sandbox plugins&rdquo; for Inspect, supporting advanced agentic evals with safe mechanisms to let models write and execute arbitrary code</li>
<li>Implement support for a new class of open-weights model on our model hosting platform</li>
<li>Support a research team with designing custom infrastructure for a new research project</li>
<li>Collaborate with the open-source community on a feature in Inspect or Inspect's plugin ecosystem</li>
<li>Assist with an evaluation testing exercise of a frontier AI model, debugging issues that appear in Inspect from API changes in the lab's latest SDK</li>
</ul></div></div><div><h3 class="jobSectionHeader">Person Specification</h3>
<div>
You may be a good fit if you have some of the following skills, experience and attitudes:
<ul>
<li>Writing production quality code at fast pace.</li>
<li>Designing, shipping, and maintaining complex tech products.</li>
<li>Improving technical standards across a team, through mentoring and feedback.</li>
<li>Strong written and verbal communication skills.</li>
<li>Experience working with a world-class research team comprised of both scientists and engineers (e.g. in a top-3 lab).</li>
<li>Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling.</li>
<li>Experience building and maintaining systems on AWS or other cloud providers using infrastructure-as-code.</li>
</ul>
Motivated candidates are encouraged to apply even if you don't meet all the above criteria.
<h3 class="jobSectionHeader">
Required Experience</h3>

We select based on skills and experience regarding the following areas:
<ul>
<li>Writing production quality code</li>
<li>Writing code efficiently</li>
<li>Python</li>
<li>Written communication</li>
<li>Verbal communication</li>
<li>Teamwork</li>
<li>Interpersonal skills</li>
<li>Tackling challenging problems</li>
</ul><h3 class="jobSectionHeader">Desired Experience</h3>

We additionally may factor in experience with particular areas like:
<ul>
<li>Expertise in Cloud Infrastructure or Dev Ops (AWS, Azure, Kubernetes, Terraform, CDK, Docker, etc.)</li>
<li>Cybersecurity expertise</li>
<li>ML Ops (vLLM, agent frameworks, fine-tuning, RAG systems, etc.)</li></ul></div> 
</div>
</div></div></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>

Software Engineer - Core Technology

Understanding Recruitment

<div>
 
 
 Have you got a strong educational background from a Russell Group University?
 
 
 
 
 
 
 
 Do you have experience working in the financial industry?
 
 
 
 
 
 
 
 💸 Java Software Engineer &ndash; FinTech Scaleup 💸
 
 
 
 
 📍 Location:
 
 Hybrid working in Central London
 
 
 
 💰 Salary:
 
 up to &pound;105,000 + bonus
 
 
 
 
 
 We are very excited to once again be partnered exclusively with London&rsquo;s leading investment management firm&rsquo;s latest spinout company. Leveraging cutting-edge techniques with the latest technologies, they build highly scalable high-throughput software that is used by hedge funds and asset managements around the world.
 
 
 
 
 
 Due to an exciting pipeline of upcoming projects, they are looking for Core Java Software Engineers to join their team.
 
 
 
 
 
 You will be an excellent fit for this Core Java Engineer position if you:
 
 
 
 
 <ul>
 <li>
 Have built scalable software from scratch
 </li>
 <li>
 Use
 
 Core Java
 
 concepts, including
 
 Low Latency
 
 ,
 
 Concurrent Programming
 
 &amp;
 
 Multithreading
 
 </li>
 <li>
 Are used to working in a fast-paced environment
 </li>
 <li>
 Work in the financial industry e.g. Bank, Hedge Fund/Asset Management, FinTech
 </li>
 <li>
 Have clear experience with optimisation, efficiency and performance improvement
 </li>
 </ul>
 
 
 
 
 As a Core Java Engineer, you will enjoy a wide array of benefits:
 
 
 
 
 <ul>
 <li>
 Flexible working from home 3 days a week
 </li>
 <li>
 BUPA Healthcare
 </li>
 <li>
 Bonus
 </li>
 <li>
 Clear career progression and professional development
 </li>
 </ul>
 
 
 
 
 
 
 
 
 If you have several years commercial experience working with Core Java and are looking for a new challenge with autonomy over your projects and work, apply now for immediate consideration in this Java Software Engineer opportunity!
 
 
 
 
 
 
 
 Please note
 
 : Due to compliancy reasons, we will only be able to consider applications based in the UK.
 
</div>

Java Software Engineer

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