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

Hyper Recruitment Solutions

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


Machine Learning Engineer

Accenture

<div><p><b>YOU ARE</b></p><p>
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes.</p><p></p><p>
Your spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.</p><p></p><p><b>
THE WORK</b></p><ul><li>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</li><li>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</li><li>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</li><li>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</li><li>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</li><li>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</li><li>
Justify the value of model approaches in business problems</li><li>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</li></ul></div>
<br>
<div><p><b>EDUCATION</b></p><ul><li>
Bachelor's Degree or equivalent</li></ul><p><b>
BASIC (REQUIRED) QUALIFICATION</b></p><ul><li>
Experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</li><li>
Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</li><li>
Experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks</li><li>
Experience in building and deploying AI/ML based software to a cloud environment.</li></ul><p><b>
PREFERRED QUALIFICATION</b></p><ul><li>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..</li><li>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</li><li>
Experience with the following programming languages: Python, C++, Java, R, SQL</li><li>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</li><li>
Strong client-facing skillsets in a consulting environment</li><li>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</li><li>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</li><li>
MS or PhD in related field preferred (computer science, engineering, etc.)</li></ul></div>

AI/ML Computational Science Assoc Manager

<div><p><b>YOU ARE</b></p><p>
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.</p><p></p><p><b>
THE WORK</b></p><ul><li>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</li><li>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</li><li>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</li><li>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</li><li>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</li><li>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</li><li>
Justify the value of model approaches in business problems</li><li>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</li></ul></div>
<br>
<div><p><b>EDUCATION</b></p><ul><li>
Bachelor's Degree or equivalent</li></ul><p><b>
BASIC (REQUIRED) QUALIFICATION</b></p><ul><li>
Experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</li><li>
Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</li><li>
Experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks</li><li>
Experience in building and deploying AI/ML based software to a cloud environment.</li></ul><p><b>
PREFERRED QUALIFICATION</b></p><ul><li>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).</li><li>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</li><li>
Experience with the following programming languages: Python, C++, Java, R, SQL</li><li>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</li><li>
Strong client-facing skillsets in a consulting environment</li><li>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</li><li>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</li><li>
MS or PhD in related field preferred (computer science, engineering, etc.)</li></ul></div>

AI/ML Computational Science Manager

<div><p><b>YOU ARE</b></p><p>
As a Senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes.</p><p></p><p>
Your spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.</p><p></p><p><b>
THE WORK</b></p><ul><li>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</li><li>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</li><li>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</li><li>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</li><li>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</li><li>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</li><li>
Justify the value of model approaches in business problems</li><li>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</li></ul></div>
<br>
<div><p><b>EDUCATION</b></p><ul><li>
Bachelor's Degree or equivalent</li></ul><p><b>
BASIC (REQUIRED) QUALIFICATION</b></p><ul><li>
Experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</li><li>
Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</li><li>
Experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks</li><li>
Experience in building and deploying AI/ML based software to a cloud environment.</li></ul><p><b>
PREFERRED QUALIFICATION</b></p><ul><li>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).</li><li>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</li><li>
Experience with the following programming languages: Python, C++, Java, R, SQL</li><li>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</li><li>
Strong client-facing skillsets in a consulting environment</li><li>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</li><li>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</li><li>
MS or PhD in related field preferred (computer science, engineering, etc.)</li></ul></div><p></p>

AI/ML Computational Science Senior Manager

Elsevier

<p></p><div><p><b>Quality Test Engineer III
 </b></p><p></p><p><b>Are you passionate about ensuring high-quality software through robust testing and automation strategies?
</b></p><p><b>Do you enjoy identifying defects early and improving systems to deliver seamless, reliable user experiences?<br>
</b></p><p></p><p><b>About the team:
</b></p><p></p><p>The Search and AI Platform is Elsevier's agentic data platform, which powers products such as Scopus, ScienceDirect, and our next-generation AI-powered search systems.
</p><p></p><p>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><b>About the role:
</b></p><p></p><p>We are looking for a Quality Engineer to join the Search and AI Platform team. This is a hands-on, automation-first role focused on API and service-level testing, with quality embedded throughout the development lifecycle rather than validated at the end.
</p><p></p><p>You will work closely with software engineers, quality engineers and technical leads to ensure our search and retrieval services are reliable, scalable, and safe to consume by downstream product teams. You will be able to analyse complex systems, contribute meaningfully to engineering discussions, and take clear ownership of quality outcomes across your areas of the platform.<br>
</p><p></p><p><b>Key Responsibilities:
</b></p><ul><li><p>Design, implement, and maintain automated test suites for APIs and backend services using Karate, Cucumber with RestAssured.
</p></li><li><p>Write clean, maintainable, and reliable automated tests in Java that provide fast, accurate feedback to the team.
</p></li><li><p>Validate functional and non-functional behaviour of search and retrieval services, including error handling, reliability, and service interactions.
</p></li><li><p>Contribute to contract testing and service-level testing strategies across our REST and evolving GraphQL APIs.
</p></li><li><p>Integrate and maintain automated tests within CI/CD pipelines, supporting testing at multiple levels of the stack.
</p></li><li><p>Use observability tooling such as New Relic and logging to support diagnosis, monitoring, and quality analysis.
</p></li><li><p>Technically analyse problems and proposed solutions, recognising the right level of detail and abstraction to contribute to and lead engineering discussions.
</p></li><li><p>Contribute to incident reviews and post-mortems, improving test coverage to prevent repeat issues.
</p></li><li><p>Work with engineers early in the development process to shape acceptance criteria, surface edge cases, and improve overall testability.
</p></li></ul><p></p><p><b>Requirements:
</b></p><p></p><p>You are a quality engineer with solid hands-on automation experience who thrives working closely with software engineers. You see testing as an engineering discipline and take pride in building quality in from the start rather than validating at the end. You are collaborative, take ownership of your work, and are comfortable contributing to technical discussions.
</p><ul><li><p>Good years of experience in software testing or quality engineering.
</p></li><li><p>Strong experience of API testing and/or contract testing, data formats, and service interactions.
</p></li><li><p>Strong coding and scripting ability in Java.
</p></li><li><p>Hands-on experience with Karate, Cucumber with RestAssured.
</p></li><li><p>Good exposure to CI/CD pipelines, supporting the integration of testing at various levels of the stack.
</p></li><li><p>Exposure to observability tooling such as New Relic or logging.
</p></li><li><p>The ability to technically analyse a problem and a solution, recognising the right level of detail and abstraction to lead discussions.
</p></li><li><p>Willingness to take ownership of assigned areas and continuously improve quality outcomes.
</p></li><li><p>Experience working in Agile/Scrum teams.
 </p></li></ul><p></p><p><b>Nice to Have
</b></p><ul><li><p>Performance testing experience.
</p></li><li><p>Familiarity with GraphQL APIs and service-level or contract testing approaches.
</p></li><li><p>Experience testing shared services or internal platforms.
</p></li><li><p>Knowledge of Kubernetes (EKS).
</p></li><li><p>Interest in search, AI, or data-oriented 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 organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
</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><li><p>Generous vacation entitlement and option for sabbatical leave
</p></li><li><p>Maternity, Paternity, Adoption and Family Care Leave.
</p></li><li><p>Personal Choice budget
</p></li><li><p>Internal communities and networks
</p></li><li><p>Various employee discounts
</p></li><li><p>Recruitment introduction reward
</p></li><li><p>Employee Assistance Program (global)
</p></li></ul><p></p><p><b>About the business-
</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></p>
<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>

Quality Test Engineer III

RELX Group

Explore 293+ Scientific software engineer in London this July. Find roles across top companies and apply now to boost your career.

293 scientific software engineer jobs In London

Physical AI Data Scientist - QuantumBlack Labs

Machine Learning Engineer

AI/ML Computational Science Assoc Manager

AI/ML Computational Science Manager

AI/ML Computational Science Senior Manager

Quality Test Engineer III

Quality Test Engineer III