software engineer

machine learning engineer

senior software engineer

ai engineer

full stack engineer

embedded software engineer

Scrumconnect Consulting

<div><div><p>Job Information</p>
<ul><div><p>Date Opened</p>
<div>24/06/2026
</div></div><div><p>Job Type</p>
<div>Permanent
</div></div><div><p>Industry</p>
<div>Government &amp; Public Sector
</div></div><div><p>Work Experience</p>
<div>5+ years
</div></div><div><p>Salary</p>
<div>60K
</div></div><div><p>City</p>
<div>London
</div></div><div><p>Province</p>
<div>Greater London
</div></div><div><p>Country</p>
<div>United Kingdom
</div></div><div><p>Postal Code</p>
<div>EC1A
</div></div></ul></div><div><p>Job Description</p>
<div><p>About Scrumconnect Consulting<br>
Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens.</p><p>
We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter.</p><p><br>
Role Summary</p><p><br>
We are seeking an experienced Embedded DevOps Engineer to design, implement, and maintain robust CI/CD pipelines, automation frameworks, and deployment solutions for embedded and edge computing platforms. The role focuses on accelerating software delivery, improving system reliability, enabling secure device management, and supporting large-scale deployment of embedded applications across distributed environments.</p><p></p><p><br>
Key Responsibilities<br>
</p><p>
DevOps &amp; CI/CD<br>
</p><ul><li>
Design, implement, and maintain CI/CD pipelines for embedded software and edge applications.<br>
</li><li>
Automate build, test, packaging, and deployment processes.<br>
</li><li>
Establish and maintain software versioning, release management, and artifact repositories.<br>
</li><li>
Improve build efficiency, deployment reliability, and development productivity.<br>
</li></ul><p>
Embedded Platform &amp; Device Management<br>
</p><ul><li>
Support development and deployment of embedded Linux-based systems.<br>
</li><li>
Manage device provisioning, configuration, software updates, and lifecycle management.<br>
</li><li>
Implement secure remote deployment and rollback mechanisms.<br>
</li><li>
Support fleet-wide software rollout strategies and operational monitoring.<br>
</li></ul><p>
Test Automation &amp; Quality<br>
</p><ul><li>
Develop and integrate automated testing frameworks including unit, integration, system, and hardware-in-the-loop (HIL) testing.<br>
</li><li>
Integrate quality gates and automated validation into CI/CD workflows.<br>
</li><li>
Monitor and improve software quality, test coverage, and deployment success rates.<br>
</li></ul><p>
Infrastructure &amp; Reliability<br>
</p><ul><li>
Manage build infrastructure, development environments, and deployment platforms.<br>
</li><li>
Implement Infrastructure as Code (IaC) and configuration management solutions.<br>
</li><li>
Monitor system performance, availability, and operational health.<br>
</li><li>
Troubleshoot build, deployment, and runtime issues across environments.<br>
</li></ul><p>
Security &amp; Compliance<br>
</p><ul><li>
Implement secure software delivery practices and DevSecOps controls.<br>
</li><li>
Support vulnerability management, patching, and software supply chain security.<br>
</li><li>
Ensure compliance with organizational security and governance requirements.<br>
</li><li>
Maintain traceability of software artifacts throughout the release lifecycle.<br>
</li></ul><p>
Collaboration<br>
</p><ul><li>
Work closely with Embedded Software Engineers, Platform Engineers, QA teams, Security teams, and Product Owners.<br>
</li><li>
Drive adoption of DevOps best practices and continuous improvement initiatives.<br>
</li><li>
Contribute to technical standards, documentation, and engineering processes.<br>
</li></ul><p></p><p>
Required Skills &amp; Experience<br>
</p><p>
Technical Skills<br>
</p><ul><li>
Strong experience with Linux-based environments and system administration.<br>
</li><li>
Hands-on experience with CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps.<br>
</li><li>
Proficiency in scripting and automation using Python, Bash, or similar languages.<br>
</li><li>
Strong knowledge of Git and source control management.<br>
</li><li>
Experience with Docker and containerized development workflows.<br>
</li><li>
Experience with Infrastructure as Code tools such as Terraform or Ansible.<br>
</li></ul><p>
Embedded Systems<br>
</p><ul><li>
Experience working with embedded Linux platforms and cross-compilation environments.<br>
</li><li>
Understanding of embedded software development lifecycles.<br>
</li><li>
Familiarity with device provisioning, firmware/software updates, and deployment strategies.<br>
</li><li>
Knowledge of hardware-software integration and debugging processes.<br>
</li></ul><p>
Monitoring &amp; Observability<br>
</p><ul><li>
Experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or OpenTelemetry.<br>
</li><li>
Ability to analyze system metrics and troubleshoot production issues.<br>
</li></ul><p></p><p>
Preferred Qualifications<br>
</p><ul><li>
Experience with Yocto, Buildroot, or similar embedded Linux build systems.<br>
</li><li>
Knowledge of Kubernetes and container orchestration platforms.<br>
</li><li>
Experience with edge computing, IoT platforms, or distributed device management.<br>
</li><li>
Familiarity with secure development lifecycle (SDLC) and DevSecOps practices.<br>
</li><li>
Experience working in regulated or mission-critical environments.</li></ul><p><br>
Our interview process</p><p><br>
We keep things straightforward. Following an initial CV review, successful candidates will be invited to a short screening call with our recruitment team, followed by a two-stage process comprising a technical assessment and a values-based interview with the hiring team. We aim to move quickly and will keep you informed at every stage.</p><p><br>
Equal Opportunities</p><p><br>
Scrumconnect Consulting is an equal opportunities employer. We are committed to building a diverse and inclusive team and welcome applications from all backgrounds, regardless of age, disability, gender, ethnicity, religion, or sexual orientation.</p></div></div></div><p></p>

Embedded DevOps Engineer

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

Innatera Nanosystems

<div><p><b>About Us:</b></p><p><b>
Innatera</b> is a rapidly growing Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. These microprocessors mimic the brain&rsquo;s mechanisms for processing fast data streams from sensors, enabling complex turn-key sensor analytics functionalities, with 10,000x higher performance per watt than competing solutions. Innatera's technology serves as a critical enabler for next-generation use cases in the IoT, wearable, embedded, and automotive domains.</p><p>
To support our rapid development roadmap, we&rsquo;re looking for a <b>Senior NPU SDK</b> <b>Engineer</b> to help drive the development of our simulation environment by enabling early application development and system validation before hardware is available. As a key member of our SDK team, you&rsquo;ll be responsible for designing and building accurate and high-performance C++ hardware simulators that reflect our neuromorphic architecture. This role is critical to how our software and hardware teams collaborate to test, validate, and iterate on next-gen chip designs.</p><p><b>
We will trust you with:</b></p><ul><li><p>
To take care of the full life-cycle of our SDK features in one of the components, including the simulator and compiler, or the API and the infrastructure of our SDK;</p></li><li><p>
Set and uphold high standards for code quality, maintainability, testing, and release readiness;</p></li><li><p>
Conduct code reviews and improve engineering practices and ensure robust documentation within the expertise domain;</p></li><li><p>
Work closely with other team (Digital Design, Firmware, Applications), translate complex algorithm or hardware specifications into efficient, user friendly, and testable software behaviour, and provide technical feedback;</p></li><li><p>
Provide support to internal teams and customers to enable them to develop applications quickly using our SDK or help solve any issues;</p></li><li><p>
Contribute to improving power consumption performance, latency, and any performance bottlenecks for our efficient edge-AI solution;</p></li><li><p>
Keep innovating, bring latest trend of the technology and best practice to keep our product competitive in the market.</p></li></ul><p><b>
What will you need to succeed:</b></p><ul><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Electrical Engineering, or a related field;</p></li><li><p>
Strong Python development skills;</p></li><li><p>
Extensive experience with PyTorch and its customization, including knowledge of internal mechanics;</p></li><li><p>
Modern C++ development skills (including C++17/20) would be a big plus, or a willingness to expand the knowledge;</p></li><li><p>
Proven track record of designing modular, maintainable and testable software architecture;</p></li><li><p>
Experience in low-power resource-constrained embedded programming;</p></li><li><p>
Familiarity with hardware/software co-design concepts;</p></li><li><p>
Great communication skills.</p></li></ul><p><b><i>
Nice to have:</i></b></p><ul><li><p>
Exposure to bare-metal firmware development;</p></li><li><p>
Solid understanding of computer architecture, particularly ARM or RISC-V-based systems, and basic digital design knowledge is a big plus;</p></li><li><p>
Familiarity with ML compilers like MLIR, IREE or PyTorch compiler (Dynamo);</p></li><li><p>
Familiarity with the runtime of TinyML or EdgeAI runtimes (TensorFlow Lite Micro, execuTorch);</p></li><li><p>
Knowledge of SNN (Spiking Neural Networks).</p></li></ul><p>
Whether you&rsquo;re passionate about microarchitecture, excited by verification or physical design, driven by supporting operations, building strong teams, or mastering the details of accounting, we&rsquo;d love to hear from you!</p><p></p><p>
If you're ready to shape the future of technology with us, click <b>Apply</b> and share your story.</p><p></p><p><i>
Innatera is proud to be an equal opportunity employer. We welcome applicants of all backgrounds and experiences and are committed to building a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, disability, age, or other protected characteristics. If you require accommodations during the recruitment process, please let us know &ndash; we&rsquo;re happy to support you.</i></p></div>

Senior NPU SDK Engineer

Apple

<p>The Private Cloud Compute (PCC) team builds Apple's privacy-preserving cloud inference platform - the system that lets generative-AI features on iPhone, iPad, Mac, and Vision Pro reach into the cloud without compromising user privacy. We are looking for a Software Engineer to join the team that builds the on-device client side of that pipeline: the system frameworks and sandboxed services that every Apple Intelligence and Foundation Models request flows through before it ever leaves the device.<br>
<br>
This is system-level Apple platform work. You will design and ship the Swift frameworks that turn high-level inference requests into a compact wire protocol, manage long-lived connections, stream multimodal output back to client apps - all under strict process isolation and privacy guarantees. Your code will run on every device that uses Apple Intelligence - and the bar for correctness, performance, and privacy is set accordingly.<br>
<br>
<b>Description</b><br>
You will be a key contributor to the Swift frameworks and XPC services that connect on-device apps and system daemons to PCC. Day-to-day responsibilities include:<br>
<br>
Designing and evolving the on-device client SDKs and the XPC services they sit behind, balancing API ergonomics for client teams with the strict process-isolation and attestation guarantees required by PCC.<br>
Implementing high-throughput, low-latency request paths: protobuf serialization of inference payloads, payload compression, multi-turn session state and lifecycle, retry/cancellation semantics, and streaming of incremental model output back to clients.<br>
Owning concurrency and resource management across async/await, AsyncStream, and GCD - including correct cancellation, back-pressure, and lifetime management of long-lived XPC connections.<br>
Building the telemetry, signposts, and privacy-audited logging that let on-call engineers diagnose request failures across device, cloud, and inference layers without exposing user data.<br>
Collaborating closely with the PCC server-side, Foundation Models, attestation, and platform-frameworks teams; writing design documents, leading reviews, and mentoring engineers on Apple platform fundamentals.<br>
Profiling on real hardware with Instruments and driving down memory, latency, and energy costs in the request path - these libraries run on every device, on every inference, so every microsecond matters.<br>
<br>
<b>Preferred Qualifications</b><br>
Experience designing or evolving wire protocols (e.g., Protocol Buffers), data-streaming pipelines, or connection management.<br>
Hands-on experience with Apple's Inter-Process Communication (XPC) to bridge sandboxed applications and system services.<br>
Familiarity with secure communication protocols, cryptography, or privacy-preserving architectures.<br>
Working knowledge of ML concepts and frameworks and proficiency in performance profiling with Instruments, and experience implementing robust client-side telemetry and logging using native Apple APIs.<br>
Familiarity with end-to-end systems that span device, network, and server tiers, and comfort reasoning about failure modes across that boundary.<br>
<br>
<b>Minimum Qualifications</b><br>
Experience developing complex, system-level frameworks, daemons, or background services for iOS and macOS (beyond standard UI-focused app development).<br>
Strong programming proficiency in Swift, alongside experience with Objective-C or C/C++ for lower-level system integration.<br>
Deep understanding of concurrency (Swift Concurrency, GCD), memory management, and asynchronous network programming.</p>

Software Engineer - Private Cloud Compute, On-Device Client Frameworks

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Your role</b></h2>
</div><div><p>Capgemini Engineering is looking for a software engineers to join our High Integrity Software team. You will join a diverse team of excellent and experienced engineers who are committed to ensuring our projects meet our customers&rsquo; high expectations. Our team develops software for safety related and critical applications in the Aerospace, Defence, Rail, Automotive and Energy sectors, often related to critical national infrastructure.</p><br>
<p></p><p>In this role you will play a key role in:</p>
<ul><li>Shaping technical strategy on bids and projects basing your approach on our standard life-cycle model, extensive quality management system and development toolset and techniques.</li>
<li>Taking a lead in the generation of software requirements, architecture and design</li>
<li>Taking a lead in the development of software and systems</li>
<li>Taking a lead in the testing of software and systems</li>
<li>Working with the safety team to provide evidence against the relevant standards</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Your profile</b></h2>
</div><div><p><b>Essential</b></p>
<ul><li>Strong knowledge of the whole safety critical software development life cycle.</li>
<li>Expertise in either requirements, development or test.</li>
<li>Experience in at least one of the following markets: aerospace, transport, defence, rail, automotive.</li>
<li>Experience with Spark/Software Language ADA.</li>
<li>Experience of applying relevant standards such as 61508, 50128, 26262, 00-55, ED-109, DO-178 etc.</li>
<li>Organised, good time management and prioritisation</li>
<li>Methodical approach to work, with good attention to details and strong logic and reasoning skill</li><br>
</ul><p></p><p><b>Desirable</b></p>
<ul><li>Degree qualified in software engineering or related/relevant subject.</li>
<li>Experience in at least one of the following markets: aerospace, transport, defence, rail, automotive.</li>
<li>Knowledge and experience in static analysis techniques</li><br>
</ul><p></p><p>If you're excited about this role but don&rsquo;t meet every requirement, we still encourage you to apply, your unique experience could be just what we need.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Make it real - what does it mean for you?</b></h2>
</div><div><ul><li>Open access to digital learning platforms
</li>Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini<br>
<li>
</li></ul><p></p><p>Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
</p><ul><li>Declare they have a disability, and
</li><li>Meet the minimum essential criteria for the role.
</li>Please opt in during the application process.<br>
<li>
</li></ul><p></p><p>Capgemini. Make it real.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Need to know</b></h2>
</div><div><ul><li>All roles will require a level of security clearance; BPSS OR Security ClearanceOR Developed Vetting.
</li><li>You can bring your whole self to work. At Capgemini building an inclusivefuture is part of everyday life and will be part of your working reality. We havebuilt a representative and welcoming environment, for everyone.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>About Capgemini</b></h2>
</div><div><div><p>Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of &euro;22.5 billion.
</p></div><div><p>Make it real | www.capgemini.com</p></div></div></div></div></div></div></div></div>

Senior Software Engineer - SPARK/ADA

<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 Engineering team at CoMind spans the full stack of a regulated medical device company from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that has to perform reliably in clinical environments.</p><p>
As a Senior/Staff Software Test Engineer, you will define the quality and verification strategy across CoMind&rsquo;s entire software stack from embedded real-time systems to cloud-side data pipelines. You will move beyond task-level execution to architect the infrastructure and 'compliance-as-code' processes that provide the engineering team with high-velocity, high-confidence validation. You will serve as a key technical authority, ensuring our software not only meets stringent IEC 62304 and ISO 14971 standards but does so through sustainable, automated design.</p><p>
You will function as the technical authority for software quality. Your goal is to move CoMind beyond traditional V&amp;V, architecting a self-validating system that integrates safety, regulatory compliance, and high-velocity development. You will be the bridge between Systems Engineering, Regulatory Affairs, and Software Engineering, ensuring that quality is an inherent attribute of our technology rather than a post-development checklist.</p><p><b>
At CoMind, all team members work at least 4 days per week in the office, plus a flexible work-from-home day. This role is based in our London (Kings Cross) office.</b></p><p></p><h3 class="jobSectionHeader"><b>
Responsibilities:</b><b>
</b></h3><ul><li><p>Architect a scalable, high-fidelity testing infrastructure that enables continuous validation. Champion 'design for testability' across the entire engineering stack, influencing system architecture to ensure critical safety and performance requirements are verifiable by design.</p></li><li><p>
Define the end-to-end V&amp;V strategy for the product lifecycle. Quantitatively map software verification evidence directly to system-level safety risks (ISO 14971) to create a 'compliance-as-code' environment that drastically reduces time-to-submission for FDA and other regulatory bodies.</p></li><li><p>
Drive a 'quality-first' engineering culture by mentorship. Lead training and initiatives on Test-Driven Development (TDD), CI/CD best practices, and automated quality gates, ensuring that the engineering team&rsquo;s velocity is sustained by high-confidence automated processes.</p></li><li><p>
Lead the development of AI-augmented test strategies. Architect predictive anomaly detection systems and AI-driven test generation engines that evolve alongside our software, turning the test suite into an intelligent system that learns from past regressions.</p></li><li><p>
Collaborate with engineering leadership to drive continuous improvement in software development and test processes, ensuring that quality practices scale with the organisation.</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><b>
Strategic Execution:</b> 7+ years in software test engineering, with a proven track record of architecting testing strategies for complex, regulated systems (embedded, real-time, or SaMD).</p></li><li><p><b>
Regulatory &amp; Risk Authority:</b> Deep working knowledge of IEC 62304 and ISO 14971. Proven ability to design 'compliance-as-code' workflows that integrate risk controls directly into the CI/CD pipeline and automate regulatory evidence generation.</p></li><li><p><b>
Technical Proficiency:</b> Advanced Python and C/C++; extensive experience building scalable test infrastructure for both embedded hardware and cloud-side data pipelines.</p></li><li><p><b>
Cultural Leadership:</b> Demonstrated success in mentoring software engineers and driving a 'quality-first' culture through TDD, static analysis, and automated quality gates.</p></li><li><p><b>
Cybersecurity &amp; Documentation:</b> Strong experience in cybersecurity requirements (e.g., IEC 81001-5-1, FDA cybersecurity guidance) and rigorous documentation management for regulatory submission.</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Nice to Have</b></h3><ul><li><p>
Experience testing real-time Linux or RTOS-based products.</p></li><li><p>
Background in MLOps, including validation of model drift, dataset governance, and automated performance evaluation.</p></li><li><p>
Expertise in managing complex build environments (e.g., CMake, Bazel) or cloud-native infrastructure-as-code (Terraform, AWS/GCP).</p></li><li><p>
Direct experience navigating FDA Q-Sub or MHRA pre-submission processes.</p></li><li><p>
Experience with hardware-in-the-loop or software-in-the-loop test environments.</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;93,681 - &pound;157,778</p></div>

Staff Software Test Engineer

Robert Walters

<div>
 <p>
  Join this Silicon Valley HealthTech scale up to make real impact on patient's lives. This role is fully remote within the UK, but this company don't provide visa sponsorship.
 </p>
 <p>
  <br/>
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 </p>
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  About the Role
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   We are seeking a Machine Learning Engineer to develop real-time ML solutions using wearable and physiological sensor data. You will work on scalable algorithms for continuous biosignal analysis in regulated healthcare environments, contributing to production-grade digital health technologies and clinically oriented ML systems.
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  Key Responsibilities
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    Design, build, and optimize machine learning models for real-time analysis of wearable biosignal data, including ECG, PPG, accelerometer, and related sensor streams.
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    Develop and validate algorithms capable of achieving clinical-grade performance in regulated environments.
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    Process and manage large-scale continuous time-series datasets generated by wearable devices and connected sensors.
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    Collaborate cross-functionally with engineering, product, clinical, and compliance stakeholders to align solutions with healthcare software and regulatory requirements.
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    Optimize ML pipelines and inference workflows for deployment on edge, mobile, or embedded platforms with constrained compute resources.
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    Conduct validation and benchmarking experiments using metrics such as sensitivity, specificity, ROC-AUC, precision, recall, and related statistical measures.
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  Required Qualifications
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    MS or PhD in Machine Learning, Biomedical Engineering, Computer Science, Electrical Engineering, or a related technical discipline.
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    3-5+ years of experience applying machine learning techniques to time-series, biosignal, or physiological datasets.
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    Strong understanding of signal processing, time-series analytics, anomaly detection, deep learning, and classical machine learning approaches.
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    Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow.
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    Familiarity with healthcare software development standards and regulated software environments, including concepts related to SaMD, GMLP, IEC 62304, ISO 13485, or equivalent frameworks.
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    Experience with MLOps practices, model lifecycle management, CI/CD workflows, and version-controlled ML deployment pipelines.
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  <strong>
   Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
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Remote ML Engineer- Signal Processing- Series C HealthTech

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