data engineer

machine learning engineer

software engineer

ai engineer

senior software engineer

research software engineer

<p></p><div><div><div><b>Ref Number</b></div>
<div>B04-07554</div>
<div><b>Professional Expertise</b></div>
<div>Research and Research Support</div>
<div><b>Department</b></div>
<div>UCL BEAMS (B04)</div>
<div><b>Location</b></div>
<div>London</div>
<div><b>Working Pattern</b></div>
<div>Full time</div>
<div><b>Salary</b></div>
<div>&pound;54,931-&pound;64,644</div>
<div><b>Contract Type</b></div>
<div>Fixed-term</div>
<div><b>Working Type</b></div>
<div>Hybrid</div>
<div><b>Available for Secondment</b></div>
<div>No</div>
<div><b>Closing Date</b></div>
<div>19-Jul-2026</div>
</div><p></p><h2 class="jobSectionHeader"><b>About us</b></h2>
<p></p><p>UCL is one of the world's top universities based in the heart of London. It is a modern, outward-looking institution. UCL's staff and former students have included 33 Nobel prizewinners. It is a truly international community: more than one-third of our student body &ndash; more than 50,000 strong &ndash; come from 150 countries and nearly one-third of staff are from outside the UK.</p><p></p>
<h2 class="jobSectionHeader"><b>About the role</b></h2>
<p></p><p>The postholder will design, develop, and maintain software and system components for high-performance data acquisition and trigger systems in large-scale particle physics experiments. This includes contributing to real-time data processing pipelines, distributed computing systems, and hardware&ndash;software integration.</p>
<p>
The role aims to ensure reliable, efficient, and scalable data-taking operations, while supporting research objectives through innovative software development and system optimisation. The postholder will also contribute to collaborative research outputs and provide technical expertise within international experiment collaborations.</p>
<p>
If you have any informal queries about the role, please contact Prof Gavin Hesketh -gavin.hesketh@ucl.ac.uk</p><p></p>
<h2 class="jobSectionHeader"><b>About you</b></h2>
<p></p><p>We are looking for someone with a degree (or equivalent experience) in Physics, Computer Science, Engineering, or a closely related field. You must have demonstrable experience developing software for scientific, real-time, or high-performance systems. It is expected that the successful postholder will have working knowledge of data acquisition or distributed computing systems in a research or industrial context. A strong understanding of programming in C++ and/or Python is needed to carry out the role and experience with hardware-near programming (e.g. FPGA, GPU, or embedded systems) or low-latency computing.</p>
<p>
Knowledge of software development best practices, including version control (e.g. Git), continuous integration, testing, and documentation plus a familiarity with Linux-based environments and command-line tools is essential. The successful postholder will have the ability to design and implement efficient, scalable software solutions for complex systems. Strong problem-solving skills and ability to debug complex software and system-level issues is required.</p>
<p>
The ability to communicate technical concepts clearly to both specialist and non-specialist audiences alongside being able to work effectively both independently and as part of an international collaborative team is essential. Strong organisational skills and ability to manage competing priorities and deadlines is a necessary requirement.</p>
<p>
Experience working on large-scale particle physics experiments is desirable.</p><p></p>
<h2 class="jobSectionHeader"><b>What we offer</b></h2>
<p></p><p>As well as the exciting opportunities this role presents, UCL also offers competitive benefits, such as:</p>
<ul><li>41 days annual leave (including 6 University closure days and 8 UK bank holidays)</li></ul>
<ul><li>Additional 5 days&rsquo; annual leave purchase scheme</li></ul>
<ul><li>Defined benefit career average revalued earnings pension scheme (CARE)</li></ul>
<ul><li>Cycle to work scheme and season ticket loan</li></ul>
<ul><li>Immigration loan and relocation assistance</li></ul>
<ul><li>On-campus nursery</li></ul>
<ul><li>On-campus gym</li></ul>
<ul><li>Enhanced maternity, paternity and adoption pay</li></ul>
<ul><li>Employee assistance programme: Staff Support Service</li></ul>
<ul><li>Discounted medical insurance</li></ul>
<p>
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more</p><p></p>
<h2 class="jobSectionHeader"><b>Our commitment to Equality, Diversity and Inclusion</b></h2>
<p></p><p>As London&rsquo;s Global University, we know diversity fosters creativity and innovation. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.</p>
<p>
We particularly encourage applications from candidates underrepresented in UCL&rsquo;s workforce, including those from Black, Asian and ethnic minority backgrounds, disabled people, and &ndash; for Grade 9 and 10 roles &ndash; women.&rdquo;</p>
<p>
Read more: UCL Equality, Diversity and Inclusion.</p>
<p>
Applicants should also familiarise themselves with UCL&rsquo;s policies on: Prevention of Bullying, Harassment and Sexual Misconduct Policy and Personal Relationships Policy</p></div><p></p>

Research Software Engineer/Physicist (Data Acquisition Systems)

Reflection

<div>
 <strong>
  Our Mission
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  The Roles Mission
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 Our systems train models across thousands of GPUs and process petabyte-scale datasets. We care deeply about numerical stability, throughput, and reproducibility.
 <br/>
 <br/>
 <strong>
  What This Team Does
  <br/>
  <br/>
 </strong>
 This team owns and evolves the core infrastructure behind our training systems.
 <br/>
 <br/>
 <strong>
  We Focus On
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 The goal is to build the engineering foundation that allows researchers to iterate quickly while training models at massive scale.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 You will work closely with researchers to transform new ideas into reliable, scalable training systems.
 <br/>
 <br/>
 <strong>
  Responsibilities Include
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Work With
  <br/>
  <br/>
 </strong>
 <strong>
  Distributed Training
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 Orchestration &amp; Runtime Systems
 <br/>
 <br/>
 <ul>
  <li>
   Ray, Kubernetes, Slurm
  </li>
  <li>
   Distributed runtimes and async systems
  </li>
  <li>
   Containerization and sandboxing
   <br/>
   <br/>
  </li>
 </ul>
 Frameworks
 <br/>
 <br/>
 <ul>
  <li>
   PyTorch
  </li>
  <li>
   JAX
  </li>
  <li>
   Megatron-style training stacks
  </li>
  <li>
   Triton / custom kernels
   <br/>
   <br/>
  </li>
 </ul>
 Data Infrastructure
 <br/>
 <br/>
 <ul>
  <li>
   Large-scale dataset curation pipelines
  </li>
  <li>
   Deduplication and filtering systems
  </li>
  <li>
   Tokenization and preprocessing
  </li>
  <li>
   Distributed data processing frameworks
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
</div>


Member of Technical Staff - Research Software Engineer

DeepMind

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science, Physics, Mathematics, Chemistry, Engineering, a related field, or equivalent practical experience.</li>
<li>5 years of experience in machine learning, engineering, and software development using Python.</li>
<li>Experience with data structures or algorithms in an academic or industry setting</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>PhD in a relevant scientific or computational field.</li>
<li>Experience in agentic AI and modern machine learning paradigms (e.g., diffusion, transformers, agentic tools, LLMs).</li>
<li>Knowledge of quantum computing concepts.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
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.</p><p>
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.</p>
<p>
As a Research Engineer on our Science Team, you will contribute to our Quantum Computing Initiative. This role is an excellent opportunity for a creative and driven engineer who truly burns for the immense possibilities of AI for Science.<br>
<br>
In this role, you will act as the crucial bridge between research and implementation, by seamlessly linking quantum computing research with ML. As an amazing team player, you will collaborate with domain experts in (quantum) computer science, mathematics, computational chemistry, physics, and machine learning.</p><p>
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.</p><div>
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Deliver on complex research and engineering milestones, assuming end-to-end ownership of implementing and scaling ML solutions (traditional and agentic) at the intersection of quantum computing and machine learning.</li>
<li>Complement the algorithms development pillar by translating classical and quantum algorithms into robust code, balancing implementation time with efficiency, design simplicity, and sustainability.</li>
<li>Facilitate communication between research and engineering by advocating code readability, promoting engineering best practices, and writing effective design documents.</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, Quantum Computing, DeepMind

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree in Computer Science or a related technical field, or equivalent practical experience.</li>
<li>5 years of experience in software development using Python or C++.</li>
<li>Experience in deep learning frameworks, such as JAX or PyTorch.</li>
<li>Experience in standard analysis and scientific computing libraries such as numpy, pandas, and matplotlib.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>PhD with a research focus on Machine Learning, Reinforcement Learning, or Multi-Agent Systems.</li>
<li>Experience training large-scale models on accelerators (TPUs, GPUs) in a distributed environment.</li>
<li>Experience working with language models such as designing agentic harnesses, memory retrieval, or fine-tuning.</li>
<li>A track record of leading complex software projects and a passion for enabling groundbreaking research through engineering.</li>
<li>Deep expertise building and optimizing complex systems in JAX.</li>
<li>A strong background in multi-agent reinforcement learning, algorithmic game theory, or computational economics.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
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.</p><p>
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.</p>
<p>
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.</p><div>
We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Contribute to the creation of novel multi-agent learning algorithms and frameworks, with a focus on performance and scalability in Just-In-Time (JIT) compilation, Autograd, and XLA (JAX).</li>
<li>Build and maintain large-scale simulation platforms and end-to-end research pipelines to run experiments on Google DeepMind&rsquo;s cutting-edge infrastructure, including massive TPU pods.</li>
<li>Partner deeply with Research Scientists to transform mathematical concepts and research hypotheses into robust, production-quality code and reproducible experiments.</li>
<li>Lead the engineering direction for complex research projects, establish best practices for code quality and maintainability, and mentor junior engineers on the team.</li>
<li>Optimize every part of the research workflow, from data processing and model training to results analysis, to accelerate the pace of discovery.</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, Multi Agent Learning, DeepMind

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><div>
<div>
<div><div><h2 class="jobSectionHeader"><b>Role Description</b></h2>
<p>
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.</p>
<p>
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).</p>
<h3 class="jobSectionHeader"><b>
About our Core Technology Team</b></h3>
<p>
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.</p>
<p>
As a software engineer on one of these teams, you might:</p>
<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"><b>Person Specification</b></h3>
<div>
<p>You may be a good fit if you have <b>some</b> of the following skills, experience and attitudes:</p>
<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>
<p>Motivated candidates are encouraged to apply even if you don't meet all the above criteria.</p>
<h3 class="jobSectionHeader"><b>
Required Experience</b></h3>
<p>
We select based on skills and experience regarding the following areas:</p>
<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"><b>Desired Experience</b></h3>
<p>
We additionally may factor in experience with particular areas like:</p>
<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><br>
</div>
</div></div></div><p></p><div><h2 class="jobSectionHeader"><b>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>

Software Engineer - Core Technology

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Be an integral part of a technology team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Python Quant Data Engineer you will help build the technology for Systematic Equities Trading Business. The role would sit in the Equities Trading Data &amp; Analytics technology team. As a Vice President Software Engineer at JPMorgan Chase within the agile technology team, you will play a crucial role in improving, developing, and delivering top-tier technology products in a secure, stable, and scalable manner. Your skills and contributions will have a substantial impact on the business, and your profound technical expertise and problem-solving methodologies will be utilized to address a wide range of challenges across various technologies and applications.</p><p><b>
Job Responsibilities</b></p><ul><li>
Build and support fast, reliable, globally consistent data pipelines (data ingestion, cleaning, backfilling, storing) for the research and execution systems ensuring data integrity and low-latency access for research and trading.</li><li>
Work with the research and trading teams to onboard new datasets efficiently and consistently for use globally by the business.</li><li>
Design and build robust tools and frameworks to support quantitative research and production trading.</li><li>
Design, build and support research infrastructure (e.g. data access APIs, high performant and scalable simulation environments, feature and strategy signal stores)</li><li>
Build and support research and trading analytics libraries (e.g. markouts, strategy analytics)</li><li>
Serve as a function-wide subject matter expert in one or more areas of focus</li><li>
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle</li><li>
Influence peers and project decision-makers to consider the use and application of leading-edge technologies</li></ul><p>
</p><p><b>Required Qualifications, Capabilities, And Skills</b></p><ul><li>
Design and implementation of front-office systems for quant trading.</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Strong expertise in Python. Comfortable with scientific &amp; dataset libraries such as pandas, numpy.</li><li>
Experience with KDB/Q</li><li>
Knowledge of data pipelines, market data processing and backtesting workflows.</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines</li><li>
Ability to tackle design and functionality problems independently with little to no oversight</li><li>
Proficiency in automation and continuous delivery methods</li><li>
In-depth knowledge of the financial services industry and their IT systems</li><li>
Academic experience in Computer Science, Computer Engineering, Mathematics, or a related technical field</li><li>
Knowledge of machine learning, statistical techniques and related libraries.</li></ul><p>
</p><p><b>Preferred Qualifications, Skills And Capabilities</b></p><ul><li>
Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets</li><li>
Additional knowledge of Java / C++ is a strong plus.</li><li>
Practical cloud native experience is a plus.</li><li>
Practical cloud experience is a plus.</li></ul>
<b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Python Quant Data Engineer - Systematic Trading Technology

Elsevier

<p></p><div><p><b>Senior Data Engineer
</b></p><p></p><p><b>Are you passionate about building scalable, high-performance data-driven applications?
</b><br>
<b>Do you enjoy turning complex datasets into robust, reliable systems that deliver real business impact?</b><br>
<br>
</p><p><b>About the team:
</b></p><p></p><p>The Search and AI Platform supports core products such as Scopus, ScienceDirect, and AI‑driven research solutions. As a Senior Data Engineer, you will help design, build, and run reliable data pipelines and services that support large‑scale search and analytics use cases. You will work hands‑on while also supporting and guiding other engineers.
</p><p></p><p><b>About the role:
</b></p><p></p><p>The Search and AI Platform is Elsevier&rsquo;s agentic data platform, which powers products such as Scopus, ScienceDirect, and our next-generation LLM-powered research systems. The platform utilises agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data, delivering insights to the scientific community that enable them to collaborate more effectively, work smarter, and produce high-quality research more efficiently.
</p><p></p><p><b>Key responsibilities:
</b></p><p></p><ul><li><p>Design, build, and maintain scalable data pipelines and services
</p></li><li><p>Develop batch and ELT/ETL data workflows for ingesting and processing large datasets
</p></li><li><p>Work with technologies such as Python, Java, Spark, SQL, and Airflow
</p></li><li><p>Apply good software engineering practices, including testing, documentation, and CI/CD
</p></li><li><p>Contribute to cloud‑based systems (AWS), focusing on reliability, monitoring, and automation
</p></li><li><p>Collaborate with product, platform, and data science partners to deliver meaningful outcomes
</p></li><li><p>Support team learning through code reviews and knowledge sharing.
 </p></li></ul><p></p><p><b>Requirements:
</b></p><ul><li><p>Experience working as a data or software engineer on production systems
</p></li><li><p>Strong skills in Python and experience with at least one backend language (such as Java)
</p></li><li><p>Understanding of data engineering concepts such as data lakes, batch processing, and distributed systems
</p></li><li><p>Experience building or operating data pipelines using tools like Spark and Airflow
</p></li><li><p>Familiarity with cloud platforms (AWS preferred) and production monitoring
</p></li><li><p>Clear communication skills and a collaborative approach to problem‑solving.
</p></li></ul><p></p><p><b>Why join us?
</b></p><p></p><p>Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
</p><p></p><p><b>Work in a way that works for you<br>
</b><br>
</p><p>We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals.
</p><p></p><ul><li><p>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
</p></li></ul><p></p><p><b>Working for you
</b></p><p></p><p>We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
</p><ul><li><p>Comprehensive Pension Plan
</p></li></ul><ul><li><p>Generous vacation entitlement and option for sabbatical leave
</p></li></ul><ul><li><p>Maternity, Paternity, Adoption, and Family Care leave
</p></li></ul><ul><li><p>Flexible working hours
</p></li></ul><ul><li><p>Personal Choice budget
</p></li></ul><ul><li><p>Internal communities and networks
</p></li></ul><ul><li><p>Various employee discounts
</p></li></ul><ul><li><p>Recruitment introduction reward
</p></li></ul><ul><li><p>Employee Assistance Program (global)<br>
</p></li></ul><p><br>
<b>About the business &ndash;
</b></p><p></p><p>A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world&rsquo;s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.</p><br>
<p><b>We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click </b><b>here </b><b>to access benefits specific to your location.
</b></p><p></p><p>We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
</p><p></p><p><b>Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams </b><b>here </b><b>.
</b></p><p></p><p>Please read our Candidate Privacy Policy .
</p><p></p><p>We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
</p><p></p><p><b><i>USA Job Seekers:
</i></b></p><p>EEO Know Your Rights .</p></div><p></p>

Senior Data Engineer

Explore 528+ Research software engineer in London this July. Find roles across top companies and apply now to boost your career.