machine learning engineer

ai engineer

senior software engineer

data engineer

full stack engineer

scientific software engineer

McKinsey & Company

<div><div><div><div><div><div><div>Job ID: 109890</div></div></div></div><div></div><div><ul><div>
London</div><div>
Madrid</div></ul></div><div></div><div><div><div><br>
</div></div></div></div><div><p>
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You&rsquo;ve come to the right place.</p><div><p>
YOUR IMPACT</p><div><div>
You will be part of QuantumBlack Labs and the Robotics and Physical AI team within our Advanced Industries Sector, a group of engineers, scientists, product managers, and machine learning specialists building a first of its kind physics AI capability that accelerates and scales how the world designs and builds physical systems.</div><div></div><div>
Our team is responsible for:</div><div><ul><li>
Building multi-physics simulation frameworks, digital twins, and surrogate models that stand in for slow, expensive physics solvers</li><li>
Applying physics-informed machine learning and robotics to real-world engineering systems across advanced industries, from chip design to aircraft manufacturing</li><li>
Deploying scalable, production grade tools on HPC infrastructure that embed our distinctive technical approach and engineering knowledge for industrial clients</li></ul></div><div>
You will lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins, developing surrogate and machine learning models, applying physics-informed machine learning to real-world engineering systems, deploying scalable production tools on HPC infrastructure, and translating computational insights into strategic recommendations and solutions that deliver measurable impact for clients.</div><div></div><div>
You&rsquo;ll create surrogate models that replace costly simulations, compress design cycles from weeks to minutes, and bring autonomy to robotic systems on the factory floor. Collaborating with global, multidisciplinary teams, you&rsquo;ll drive innovation, develop impactful technologies, and grow as a leader in physical AI.</div><div></div><div>
You will work with diverse and complex engineering data sets, develop scientific software products, and write optimized code to enhance our internal tools. Collaborating with scientists, engineers, and designers, you will leverage advanced math, statistics, and machine learning to deliver impactful solutions and grow the firm&rsquo;s capacity to deliver at scale.</div><div></div><div>
Your work will help clients address their most pressing challenges by deploying cutting-edge technology and amplifying impact across industries. You will also contribute to the broader physical AI community by writing papers, presenting at conferences, and sharing knowledge with colleagues.</div><div></div><div>
You will be based in London or Madrid and collaborate closely with scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you&rsquo;ll work on interdisciplinary projects to solve complex engineering challenges across a range of industries, leading the development and application of cutting-edge physics AI solutions that drive measurable business impact.</div><div></div><div>
You&rsquo;ll grow as a technologist and leader in a collaborative, multidisciplinary environment, pushing the boundaries of innovation while shaping the future of physical AI and robotics.</div></div></div><div></div><div><p>
YOUR GROWTH</p><div><p>
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div></div></div></div></div><div><div><div><p>
YOUR QUALIFICATIONS AND SKILLS</p><div><div><ul><p>
Advanced graduate degree (M.S. or Ph.D.) in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or a closely related engineering or physical science field required; significant industry or national laboratory experience in applied simulation or scientific machine learning may apply.</p><p>
Demonstrated ability to develop high-quality engineering or scientific code (e.g., in Python, C++).</p><p>
Demonstrated fluency with statistical sampling, machine learning, and data science techniques.</p><p>
Simulation experience, PyTorch, ML/AI/Data Science a plus.</p><p>
Excellent organizational capabilities, including the ability to initiate tasks independently and see them through to completion.</p><p>
Proficient in rational decision-making based on data, facts, and logical reasoning.</p><p>
Ability to create work-product-focused materials / outputs, which may include PowerPoint decks, Excel models, articles, or other written deliverables.</p><p>
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.</p><p>
Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times.</p><p>
Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., manufacturing facilities, etc.).</p><p>
Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels.</p></ul></div></div></div></div></div><div><div><div><div>
Please review the additional requirements regarding essential job functions of McKinsey colleagues.</div>
<div>Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.</div></div></div></div></div>

Physical AI Data Scientist - QuantumBlack Labs

<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)

Anduril

<div><div><p>Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.</p></div><h1 class="jobSectionHeader"><b>
Mission Software Engineer - Maneuver Dominance</b></h1>
<h3 class="jobSectionHeader"><b>ABOUT THE JOB</b></h3>
<p>
The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on building the next generation of autonomous capabilities by leveraging existing Anduril platforms like Ghost or Altius, bringing 3rd party platforms into Anduril's Lattice ecosystem, and developing breakthrough systems that will shape the future of the battlefield. We build Software services and Autonomy algorithms that solve some of the hardest problems facing our customers.<br>
<br>
As a Mission Software Engineer<b> </b>on the<b> </b>Maneuver Dominance team, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Engineers within Maneuver Dominance are driven by a &quot;Whatever It Takes&quot; mindset&mdash;executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.</p><br>
<h3 class="jobSectionHeader"><b>
WHAT YOU'LL DO</b></h3>
<ul><li>Own the feature development and software solutions that are deployed to customers</li>
<li>Write code to improve products and scale the mission capability to more customers.</li>
<li>Collaborate across multiple teams to plan, build, and test complex functionality.</li>
<li>Create and analyze metrics that are leveraged for debugging and monitoring.</li>
<li>Triage issues, root cause failures, and coordinate next-steps.</li>
<li>Work closely with Anduril and 3rd party vehicle hardware teams, as well as operational subject matter experts (pilots, UAV operators, etc.) to align on requirements during product development and iterate towards a final design.</li>
<li>Write and maintain core libraries and services that perform critical functions for collaborative teams of robots - for example, motion deconfliction and contingency management of fast mover air vehicles.</li>
<li>Travel up to 20% of time to build, test, and deploy capabilities in the real world</li>
</ul><h3 class="jobSectionHeader"><b>REQUIRED QUALIFICATIONS</b></h3>
<ul><li>Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics</li>
<li>2+ years of professional industry experience working with C++ or Rust programming languages.</li>
<li>Experience building software solutions involving significant amounts of data processing and analysis.</li>
<li>Ability to quickly understand and navigate complex systems and established code bases.</li>
<li>A desire to work on critical software that has a real-world impact.</li>
<li>A bias for action, extreme ownership, and the drive to see projects through from concept to production.</li>
<li>Eligible to obtain and maintain an active UKSV Security Clearance</li>
</ul><h3 class="jobSectionHeader"><b>PREFERRED QUALIFICATIONS</b></h3>
<ul><li>Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling &amp; simulation (M&amp;S) and physical systems.</li>
<li>Developing and testing multi-agent autonomous systems and deploying in real-world environments.</li>
<li>Feature and algorithm development with an understanding of behavior trees.</li>
<li>Developing software/hardware for flight systems and safety critical functionality.</li>
<li>Experience with distributed communication networks and message standards.</li>
<li>Knowledge of military systems and operational tactics.</li>
</ul><div><p>
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:</p><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3>
<p>
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. <i>For more information, </i><i>Explore Our Benefits</i><i>.</i></p><br>
<p></p>
<div>
<h3 class="jobSectionHeader"><b>Protecting Yourself from Recruitment Scams</b></h3>
<p>
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.</p>
</div>
<div><p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>
<ul>
<li><p><b>No Financial Requests: </b>Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.</p>
</li>
<li><b>Please always verify communications:</b>
<ul><li>Direct from Anduril: If you receive an email from one of our recruiters, it will <i>only</i> come from an @anduril.com address.</li>
<li>Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.</li>
</ul>
</li><li><p><b>Exercise Caution with Unsolicited Outreach:</b> If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.</p>
</li>
<li><p><b>What to Do If You Suspect Fraud:</b> Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.</p></li><br>
</ul>
</div><h3 class="jobSectionHeader"><b>Data Privacy</b></h3>
<p>
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.</p><br>
<p></p>
<p>
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.</p></div></div>

Mission Software Engineer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.</li>
<li>1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul><li>
Master's degree or PhD in Computer Science or related technical fields.</li><li>
2 years of experience with data structures and algorithms.</li><li>
Experience with C++, Parallel Computing, Blender.</li><li>
Experience developing accessible technologies.</li><li>
Proficiency in Python and experience with frameworks for large-scale data processing.</li><li>
</li></ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)</li>
<li>Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.</li>
<li>Lead high-volume synthetic datasets including metadata deliveries for XR and Platform and Devices (P&amp;D) projects.</li>
<li>Build modular toolkits for GenAI bulk inference and metadata extraction.</li>
<li>Develop end-to-end pipelines for fine-tuning in-house foundational models.</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>

Software Engineer III, GenAI Data Operations Research, XR

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

Elsevier

<p></p><div><p><b>Senior Software Engineer I &ndash; Search and AI Platform
</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 is Elsevier&rsquo;s agentic data platform, which powers products such as LeapSpace, Scopus, ScienceDirect, Clinical Key, Reaxys, and our next-generation AI powered search systems. The platform uses agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data to deliver insights to the scientific community so they can collaborate more effectively, work smarter, and deliver quality research more quickly.
</p><p></p><p>We are looking for an innovative, passionate Senior Software Engineer II to work as part of the teams building and enhancing our platform to deliver intelligent, scalable solutions that create real value for our clients.
</p><p></p><p><b>About the role:
</b></p><p></p><p>The Shared Graph Team is a core part of Elsevier&rsquo;s <b>Search and AI Platform </b>. This team builds structured queries based on relationships and entity metadata hydration, enabling advanced traversal, discovery, and recommendation systems. As a <b>Senior </b><b>Software Engineer II </b>, you will work with a passionate team that delivers scalable, reliable, and innovative solutions that accelerate scientific discovery.
</p><p></p><p><b>Key responsibilities:
</b></p><ul><li><p>Design and implement graph-based search services.
</p></li><li><p>Develop applications using Java <b>, Spring Boot, Spring, GraphQL </b>, and <b>GraphQL Federation </b>.
</p></li><li><p>Integrate with databases, web services, or <b>AWS services </b>(Neo4j, DynamoDB, RDS, S3, Parameter Store, SQS, SNS, Kinesis) to support ingestion, storage, and messaging pipelines.
</p></li><li><p>Champion <b>clean code, SOLID principles, and engineering best practices </b>, setting standards and mentoring engineers.
</p></li><li><p>Collaborate with product managers and engineering teams to deliver advanced search and recommendation features.
</p></li><li><p>Ensure robust monitoring and logging with <b>New Relic </b>and <b>Coralogix </b>, driving reliability and performance.
</p></li></ul><p></p><p><b>Requirements:
</b></p><p></p><ul><li><p>4+ years of professional software engineering experience in distributed systems or search platforms .
</p></li><li><p>Proven track record building scalable backend systems and APIs.
</p></li><li><p>Strong expertise in <b>Java </b>and the <b>Spring Boot ecosystem </b>.
</p></li><li><p>Hands-on experience with <b>GraphQL API/REST APIs </b>design.
</p></li><li><p>Solid background in <b>cloud-native architectures with AWS and </b>Kubernetes <b>(EKS) </b>.
</p></li><li><p>An advocate of best practices for rapid development of quality software, including SOLID principles, clean code, architectural design patterns, CI/CD
</p></li><li><p>Familiarity with Agile, Kanban, or other iterative development methodologies.
</p></li><li><p>Comfortable learning new technologies, languages, and tools on the job, to ensure that the product is not left behind in a rapidly evolving ecosystem
</p></li><li><p>An inclusive, positive, collaborative mindset and a desire to deliver real business value to our customers
</p></li></ul><p></p><p><b>Nice to have:
</b></p><ul><li><p>Experience with <b>Apollo Router </b>or advanced GraphQL federation strategies.
</p></li><li><p>Background in <b>data modelling for graph-based systems </b>.
</p></li><li><p>Familiarity with search platforms or AI-driven discovery systems.
</p></li><li><p>Experience working in high-throughput, distributed systems
</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>If performed in NLD Amsterdam (Radarweg), the base pay range is &euro;86,900 - &euro;144,600.This job may be subject to a collective labor agreement in the Netherlands. Please consult with the hiring team for further details.
<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 Software Engineer I – Search and AI Platform

Explore 391+ Scientific software engineer in London this July. Find roles across top companies and apply now to boost your career.