data engineer

data scientist

machine learning engineer

senior data scientist

senior data engineer

data science and iot manager

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Alexa for Shopping, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey.<br>
<br>
This innovative role focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences.<br>
<br>
Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data-driven insights to continuously improve our systems.<br>
<br>
Key job responsibilities<br>
Key job responsibilities As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products and systems.<br>
<br>
A day in the life<br>
Perform hands-on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep-dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large-scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non-technical audiences, including through presentations, written reports, and data visualizations.<br>
<br>
About the team<br>
The Alexa for Shopping Science team, based in London, works alongside ~150 engineers, designers and product managers, shaping the future of AI-driven shopping experiences at Amazon. The team works on every aspect of the AfS AI, from making it agentic, enabling customers to set price alerts or empower AfS to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state-of-art techniques in the fields of Natural Language Processing, gen AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree or above in Math, Statistics, Computer Science, or related science field</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance</li><li>Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)</li><li>Experience effectively communicating complex concepts through written and verbal communication</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2</li><li>Experience working on multi-team, cross-disciplinary projects</li></ul><br>
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.<br>
<br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Data Scientist II, Alexa for Shopping Science UK, Alexa for Shopping Science UK

Amazon

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you?
 <br/>
 <br/>
 We are looking for a Data Scientist who will be responsible to develop cutting-edge scientific solutions to optimize our fulfillment strategy across multiple regions of the world (EU, JP, IN and more), to maximize our Customer Experience and minimize our cost and carbon footprint.
 <br/>
 <br/>
 You will partner with the worldwide scientific community to help design the optimal fulfillment strategy for Amazon. You will also collaborate with technical teams to develop optimization tools for network flow planning and execution systems. Finally, you will also work with business and operational stakeholders to influence their strategy and gather inputs to solve problems.
 <br/>
 <br/>
 To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, and an ability to influence across business functions at different levels.
 <br/>
 <br/>
 You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with technical, business and technical teams.
 <br/>
 <br/>
 Key job responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Design and develop mathematical models to optimize inventory placement and product flows.
  </li>
  <li>
   Design and develop statistical and optimization models for planning Supply Chain under uncertainty.
  </li>
  <li>
   Manage several, high impact projects simultaneously.
  </li>
  <li>
   Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain.
  </li>
  <li>
   Communicate data-driven insights and recommendations to diverse senior stakeholders through technical and/or business papers.
  </li>
  <li>
   Leverage LLMs to improve explainability of our optimization solutions and drive engagement from supply chain planners across the world.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
  </li>
  <li>
   Experience working as a Data Scientist
  </li>
  <li>
   Experience with statistical models e.g. multinomial logistic regression
  </li>
  <li>
   Experience working with data engineers and business intelligence engineers collaboratively
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with data visualization using Tableau, Quicksight, or similar tools
  </li>
  <li>
   Experience managing data pipelines
  </li>
  <li>
   Experience as a leader and mentor on a data science team
   <br/>
   <br/>
  </li>
 </ul>
 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
 <br/>
 <br/>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 <br/>
 <br/>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 <br/>
 <br/>
 <br/>
 <strong>
  Company
 </strong>
 - Amazon EU SARL (UK Branch) - D67
 <br/>
 <br/>
 Job ID: A10436839
</div>


Data Scientist, network planning optimization world wide, Supply Chain Optimization Technology

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. 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 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

Royal BAM Group

<div><div><div><h2 class="jobSectionHeader"><b>Building a sustainable tomorrow</b></h2>
</div><div><div><p>
What if your next step led further than you thought?<br>
With a reputation built over 150 years, BAM has the depth, scale and momentum to offer you more than a next step. We offer you a path. One that can take you across sectors, into leadership, or even around the world. We invest in development because we want our people to stay and grow. Wherever you want to go, we&rsquo;ll help you get there.</p></div><div><p>
BAM UK&amp;I are recruiting a UK &amp; I Data Director to join our Finance team from any UK office on a hybrid basis.</p></div><div><p>
The UK&amp;I Data Director for BAM UK &amp; Ireland is a senior role, responsible for the division&rsquo;s data strategy, governance, management and utilisation, focusing on turning data into a valuable company asset.</p></div><div><p>
The UK&amp;I Data Director will have the authority to recommend changes to divisional processes and, where appropriate, technology to achieve the above role objectives subject to BAM governance procedures.</p></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Making Possible</b></h2>
</div><div><p>
Senior executive leading enterprise data strategy, governance, and analytics for a major infrastructure contractor. Ensures data supports project delivery, financial performance, and regulatory compliance. Integrates project, cost, safety, people and environmental data to drive performance insight</p><p>
Degree in Data Science, Civil Engineering, Construction Management, or Business (often MSc/MBA) with a strong academic background and continuous professional development.</p><p>
Proven leadership of successful process and data transformation projects. Experience in managing and leading data management, reporting &amp; analytics teams. Proven success in developing enterprise-wide data and digital strategies within construction or infrastructure sectors. Demonstrated outcomes in improving project delivery, data quality, cost forecasting, and operational efficiency through data-driven decision-making.</p><p>
Deep understanding of European and UK data and construction standards &mdash; GDPR, ISO19650 (BIM), EU Taxonomy, CSRD, and national infrastructure digital frameworks. Ensures compliance with safety, environmental, and financial reporting requirements.</p><p>
Oversees integration of project, finance, procurement, and asset data across the enterprise. Fundamental understanding of core business processes, data and their associated technical solutions. Establishes data standards for cost control, planning, and performance reporting. Embeds automation and analytics in project controls and asset lifecycle management.</p><p><b>
Skills</b></p><p>
Works closely with project managers, finance leads, engineers, and IT to align data priorities with delivery and financial objectives. Works effectively as part of an executive team and is flexible to step in and assist whenever and wherever required.</p><p>
Champions digital transformation, automation, and process improvement across all project and corporate data workflows.</p><p>
Awareness of BIM, data governance, IoT data integration, cloud analytics, and AI applications in construction (e.g. predictive maintenance, safety analytics).</p><p>
Leads cultural change towards data-driven project management and decision-making.</p><p>
Supports upskilling in digital tools and data literacy.</p><p>
Working closely with the executive leadership especially the UK&amp;I Chief Operating Officer, Executive Director of Finance and the IT Director on data driven insights and strategic recommendations in a constructive, empowering and collaborative manner, examples may include data strategy, ROI of digital initiatives, and evidence-based performance management.</p><p>
Influences client and partner data collaboration standards.</p><p>
Creates clarity through dashboards, storytelling, and visual analytics; communicates data strategy across a dispersed and multidisciplinary workforce.</p><p>
Works effectively across all levels of the organisation to achieve shared goals and builds partnerships with technology vendors, joint venture partners, and clients to ensure interoperability and shared data value across the construction ecosystem.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your team</b></h2>
</div><div><p>
This role can be based from any UK&amp;I office, with a hybrid working pattern of three days per week in the office.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What&rsquo;s in it for you?</b></h2>
</div><div><div>
In addition to an attractive salary we offer a significant benefits package which could include:<br>
<ul><li> Competitive salary</li><li> A wide range of family friendly policies</li><li> Private healthcare</li><li> Life assurance</li><li> 26 days holiday</li><li> 2 wellbeing days</li><li> 1 volunteering day</li><li> Personal and professional development</li><li> Flexible benefit pot</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
The application process</b></h2>
</div><div><p>
BAM is committed to ensuring a fully inclusive recruitment and onboarding process, so if at any time you feel we need to do something to make it more accessible to you, do not hesitate to speak with one of our team, and we will do our best to support you.</p><p>
For more information or an informal conversation about this exciting career opportunity please contact Paul Howes, Recruitment Manager paul.howes@bam.com</p><p>
Closing date 15th July</p><p>
IND1</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What do you bring to the role?</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>About BAM</b></h2>
</div><div><p><i>
Building a sustainable tomorrow. That&rsquo;s our mission and our promise at BAM. It&rsquo;s how we engineer vital infrastructure and construct high-quality buildings as one of the largest construction companies in Europe.</i></p><p><i>
We strive to create an environment where everybody feels welcome and valued. We&rsquo;re on an exciting journey to employ the best talent to join us regardless of social background, race, colour, religion, national or ethnic origin, sexual orientation, gender identity or expression, age, disability or other characteristics.</i></p></div></div></div>

UK&I Data Director

Medtronic

<div><p>At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You&rsquo;ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.
</p><p></p><h1 class="jobSectionHeader"><b>A Day in the Life
</b></h1><p></p><p>The Digital Technologies Business Unit (DTBU) at Medtronic is implementing cutting-edge AI technology, computer vision, and augmented reality in the operating room (OR) to augment surgical coaching, and eventually, performance. Our goal is to deliver safer surgery around the world. Our Touch SurgeryTM Video solution is an innovative video management and data analytics platform for hospitals that includes the DS1 Computer, our first OR device, allowing surgeons, OR team members, and trainees to securely access videos of their procedures shortly after surgery.
</p><p></p><p>As a Software Development Engineer in Test you&rsquo;ll play a pivotal role in shaping our software development lifecycle by designing and building automated test solutions that ensure the reliability, safety, and performance of our embedded and connected hardware platforms used in the operating room. This role focuses on testing device software, firmware integrations, and hardware-software interaction, rather than web or mobile applications.
</p><p>You&rsquo;ll collaborate closely with engineering teams to embed quality at every stage, leverage modern automation frameworks, and help drive continuous improvement in our testing practices. If you are passionate about developing robust automation and elevating product quality through software, we want to hear from you.
</p><p></p><p><b>Responsibilities may include the following and other duties may be assigned:
</b></p><ul><li><p>Design, develop, and maintain robust automated test frameworks and tools for device software, focusing on scalable, reusable solutions.
</p></li><li><p>Collaborate with software engineers to define test scenarios, testable architectures, and drive quality through code.
</p></li><li><p>Develop, implement and execute advanced test automation strategies for embedded, edge, and device-integrated systems (Android AOSP, Linux-based edge devices, IoT gateways), including validation of device drivers, connectivity modules, and firmware updates.
</p></li><li><p>Analyse requirements and develop comprehensive test plans and protocols for a range of technologies, including service APIs (REST, IPC), WebUI, and over-the-air updates.
</p></li><li><p>Contribute to continuous integration and deployment (CI/CD) pipelines with automated quality gates.
</p></li><li><p>Generate and maintain technical documentation, standards, and best practices for test, automation and quality engineering.
</p></li><li><p>Collaborate with hardware, firmware, and systems engineers to validate device performance, connectivity, and stability under real-world operating conditions.
</p></li><li><p>Must be able to commute frequently to London-based office; 3~5 days per week onsite.
</p></li></ul><p></p><p><b>Required Knowledge and Experience:
</b></p><ul><li><p>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (or equivalent international degree).
</p></li><li><p>Minimum 3 years of relevant experience in software automation and test development, or advanced degree with 2+ years relevant experience.
</p></li><li><p>Strong proficiency in software development for test automation (Python, Java, or equivalent).
</p></li><li><p>Hands-on experience with manual test management tools and test automation frameworks (Selenium, Appium, Espresso, etc.).
</p></li><li><p>Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps).
</p></li><li><p>Device operating systems (Android, Linux).
</p></li><li><p>Service-oriented architecture (SoA), APIs (REST, IPC).
</p></li><li><p>Hands-on experience testing embedded or connected hardware devices, preferably involving edge computing or IoT systems.
</p></li><li><p>Strong understanding of hardware-software interaction, debugging logs, and analysing system-level behaviour.
</p></li><li><p>Familiarity with firmware validation, board bring-up testing, or similar.
</p></li><li><p>Web-based interfaces, Internet-connected devices, OTA updates.
</p></li><li><p>Highly technical, hands-on, and passionate about product quality.
</p></li><li><p>Demonstrated ability to design and implement automated solutions, not just execute manual tests.
</p></li><li><p>Self-starter, autonomous, and able to lead initiatives independently.
</p></li></ul><p></p><p>Experience with embedded device software development, hardware-in-the-loop testing, device connectivity (USB, Wi-Fi, Bluetooth), and video streaming or imaging devices. Familiarity with medical device standards (IEC 62304) and safety-critical testing is a strong plus.<br>
</p><p></p><p><b>Physical Job Requirements
</b><br>
<br>
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.<br>
</p><p></p><h1 class="jobSectionHeader"><b>Benefits &amp; Compensation
</b></h1><p><b>Medtronic offers a competitive Salary and flexible Benefits Package
</b><br>
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.<br>
<br>
</p><p></p>Pay range / Rango salarial / Intervalo salarial /Fascia retributiva / Tranche de salaire / Gehaltsband / Salaribereik: United Kingdom: 58,000.00 GBP - 87,000.00 GBP |<br>
<p></p>This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).
<p></p><h1 class="jobSectionHeader"><b>About Medtronic
</b></h1><p>We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
<br>
Our Mission &mdash; to alleviate pain, restore health, and extend life &mdash; unites a global team of 95,000+ passionate people.
<br>
We are engineers at heart&mdash; putting ambitious ideas to work to generate real solutions for real people. From the R&amp;D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
</p><p></p><p>Learn more about our business, mission, and our commitment to diversity here</p></div>

Software Development Engineer in Test

comind

<div><p>At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world.</p><p></p><h3 class="jobSectionHeader"><b>
The Role:</b></h3><p>
The Software team at CoMind spans the full stack of a regulated medical device company &mdash; from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that has to perform reliably in clinical environments.</p><p>
As a Staff Software Engineer, you will be a technical authority within the Software team, owning complex technical problems in embedded and real-time C++ development. You will work across hardware abstraction, real-time data acquisition, and system integration, bringing the depth of experience needed to architect and deliver software that performs reliably in a regulated, safety-critical context.</p><p><b>
At CoMind, all team members work at least 4 days per week from our new Kings Cross office, plus a flexible work-from-home day.</b></p><p></p><h3 class="jobSectionHeader"><b>
Responsibilities:</b><b>
</b></h3><ul><li><p>Design, implement, and maintain high-performance embedded and real-time software components in C++, including hardware abstraction layers, device drivers, and data acquisition pipelines.</p></li><li><p>
Define and drive technical strategy, proactively identifying and mitigating cross-team dependencies and technical debt while setting the long-term vision for embedded architecture.</p></li><li><p>
Act as a technical bridge, synthesising and communicating complex architectural decisions to non-technical stakeholders (including Product, Clinical, and Regulatory teams) to ensure alignment on project goals.</p></li><li><p>
Mentor and grow engineers, fostering a culture of technical excellence, code quality, and professional development within the broader software team.</p></li><li><p>
Ensure software quality through code review, unit and integration testing, and strict adherence to CoMind&rsquo;s software development lifecycle under IEC 62304.</p></li><li><p>
Collaborate with electronics and FPGA teams on hardware-software interfaces, supporting hardware bring-up, system integration, and complex debug.</p></li><li><p>
Contribute to risk management and design documentation activities, including software hazard analysis and traceability in line with ISO 14971 and CoMind&rsquo;s QMS.</p></li><li><p>
Participate in design reviews, sprint planning, and cross-functional technical forums, contributing to a high-performance engineering culture.</p></li><li><p>
AI is fundamental to our culture &mdash; it's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively.</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Skills &amp; Experience:</b></h3><ul><li><p>
10+ years of experience in software engineering, with a strong focus on systems-level software architecture</p></li><li><p>
Deep expertise in modern C++ (C++17 or later), including memory management, concurrency, real-time constraints, and performance optimisation</p></li><li><p>
Hands-on experience developing software for embedded Linux environments, including device driver development and hardware abstraction</p></li><li><p>
Experience in a regulated industry (medical devices, aerospace, automotive, or similar) including familiarity with IEC 62304 or equivalent software development standards</p></li><li><p>
Strong understanding of hardware-software integration, including FPGA or microcontroller interfaces, communication buses (SPI, I2C, UART, PCIe), and real-time operating systems</p></li><li><p>
Demonstrated ability to write clean, well-tested, and maintainable code in a safety-critical context</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li><p>
Experience with high-speed data acquisition systems or real-time signal processing pipelines</p></li><li><p>
Familiarity with optical or biomedical hardware integration</p></li><li><p>
Background in or exposure to data science or ML pipelines and the software interfaces that feed them</p></li><li><p>
Experience with CI/CD tooling, automated testing frameworks, and static analysis tools in an embedded context</p></li><li><p>
Knowledge of IEC 60601-1-4 or other medical device software standards</p></li><li><p>
Familiarity with architecture and engineering of cloud-based IoT systems</p></li><li><p>
Experience with health-tech data residency</p></li></ul><h3 class="jobSectionHeader"><b>
Benefits:</b></h3><ul><li><p>
Company equity plan so all employees share in the success of the company</p></li><li><p>
Salary-sacrifice pension scheme</p></li><li><p>
Private medical, dental and vision insurance (medical history disregarded)</p></li><li><p>
Group life assurance at 4x annual income</p></li><li><p>
Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals</p></li><li><p>
Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter</p></li><li><p>
Lunch voucher (&pound;10) every day for JustEat and free dinner on those days where you need to work later</p></li><li><p>
Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks</p></li><li><p>
YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores</p></li></ul><p>
Compensation Range: &pound;106K - &pound;159K</p></div>

Staff Software Engineer

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