principal product manager

Faculty

<div><h2 class="jobSectionHeader"><b>Why Faculty?<br>
</b></h2><p><br>
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we&rsquo;ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.</p><p></p><p>
We don&rsquo;t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.</p><p></p><p>
Our business, and reputation, is growing fast and we&rsquo;re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.</p><p></p><p>
AI is an epoch-defining technology, join a company where you&rsquo;ll be empowered to envision its most powerful applications, and to make them happen.</p><h2 class="jobSectionHeader"><b>
About the role</b></h2><p></p><p>
As a Principal Machine Learning Engineer, you'll serve as the definitive technical authority on ML engineering across the organisation, setting the standard for how we design, build, and scale AI systems. You will own the architectural vision for our most complex and high-stakes programmes, influence engineering strategy at an organisational level, and act as a trusted partner to senior leadership and executive clients.</p><p>
This role goes beyond leading projects, you are a force multiplier who shapes the engineering culture, elevates the capability of those around you, and ensures our technical foundations are built to last.</p><p></p><h2 class="jobSectionHeader"><b>
What you'll be doing:</b></h2><p></p><ul><li><p>
Defining and owning the organisation-wide technical vision for ML engineering, establishing architectural standards and engineering practices that scale across teams and clients.</p></li><li><p>
Overseeing the end-to-end delivery of flagship, business-critical ML programmes, spanning multiple workstreams, engineering teams, and client organisations.</p></li><li><p>
Driving the strategic adoption of new technologies, platforms, and ways of working, influencing how the entire engineering craft evolves.</p></li><li><p>
Cultivating senior engineering talent, coaching leads and managers, building capability pipelines, and embedding a culture of technical rigour and excellence.</p></li><li><p>
Acting as the principal technical voice in C-suite and executive client engagements, shaping AI strategy and securing long-term strategic partnerships.</p></li><li><p>
Leading on the most significant sales and pre-sales opportunities, providing architectural authority that differentiates our proposition and wins high-value engagements.</p></li><li><p>
Partnering with Data Science, Commercial, and Infrastructure leadership to align ML engineering strategy with broader business goals and growth ambitions.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Who we're looking for:</b></h2><p></p><ul><li><p>
You are a recognised ML engineering authority, able to go exceptionally deep across multiple domains and provide definitive technical judgement on the hardest problems.</p></li><li><p>
You have mastery of Python and a proven track record of designing and operationalising production-grade ML systems at scale, across multiple frameworks and paradigms.</p></li><li><p>
You are an expert across multiple major Cloud Solution Providers and have set the architectural direction for complex, full-stack AI platforms spanning multiple organisations.</p></li><li><p>
You have deep expertise in containerisation, orchestration, and MLOps at scale, and have established the standards others follow.</p></li><li><p>
You have a proven track record of developing senior engineering talent, coaching leads and managers, building capability, and shaping high-performance engineering cultures.</p></li><li><p>
You have a visible external profile, through publications, conference contributions, open-source leadership, or industry influence, that reflects your standing in the field.</p></li><li><p>
You operate naturally at the executive level, translating complex ML engineering decisions into commercial outcomes and proactively shaping the strategic direction of client engagements.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Our Interview Process</b></h2><p></p><ul><li><p>
Talent Team Screen (30 minutes)</p></li><li><p>
Introduction to the role (45 minutes)</p></li><li><p>
Pair Programming Interview (90 minutes)</p></li><li><p>
System Design Interview (90 minutes)</p></li><li><p>
Commercial &amp; Leadership Interview (60 minutes)</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Our Recruitment Ethos</b></h2><p>
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We&rsquo;re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.</p><p></p><p><b>
Some of our standout benefits:</b></p><ul><li><p>
Unlimited Annual Leave Policy</p></li><li><p>
Private healthcare and dental</p></li><li><p>
Enhanced parental leave</p></li><li><p>
Family-Friendly Flexibility &amp; Flexible working</p></li><li><p>
Sanctus Coaching</p></li><li><p>
Hybrid Working</p></li></ul><p></p><p>
If you don&rsquo;t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.</p></div><p></p>

Principal Machine Learning Engineer

Novo Nordisk, Inc.

<div><div><div><div><div><p>Associate Director, AI Products Engineering, London
</p></div></div></div></div><div><div><div><div><b>Category: </b>Data &amp; AI
</div></div></div></div><div><div><div><div><b>Location:
</b>London, London, GB<br>
</div></div></div></div><div></div><div><div><div><div><div><div><div>Are you passionate about machine learning, AI, and data sciences? The Data &amp; AI Engineering function is a global organisation within R&amp;D Business Unit at Novo Nordisk, shaping the data foundations and intelligent infrastructure, and next-generation agentic solutions across the organization. Together we can create life-changing innovations for patients.</div></div><div><br>
<div>
</div></div><div><div><b>The Position</b></div>
</div>
<div><div>As Associate Director, you will provide strategic engineering leadership for the development of scalable and robust AI products, including agentic applications for content authoring, knowledge management, and compliance automation. You will lead a portfolio spanning early research, pre-clinical, and clinical development, ensuring agentic AI initiatives progress from proof-of-value to production. The role is accountable for establishing the data foundations and agentic AI infrastructure that support Novo Nordisk's R&amp;D AI ambitions, while driving business impact through the orchestration of complex cross-functional initiatives and stakeholder collaborations in a quality- and governance-focused environment.</div></div><div><br>
<div>
</div></div><div><div><b>Furthermore, you will be responsible for:</b></div>
</div>
<div><ul><li><div>Defining and driving the AI product infrastructure strategy for R&amp;D, enabling an integrated ecosystem of Agentic AI solutions</div>
</li>
</ul></div><div><ul><li><div>Ensure robust and scalable delivery of AI capabilities (data foundations, infrastructure, MLOps), with a strong focus on quality, traceability, risk management, and governance readiness. Transforming scientific and operational data into trusted, scalable AI solutions that accelerate innovation, improve efficiency, and support better business outcomes across R&amp;D.</div>
</li>
</ul></div><div><ul><li><div>Developing and executing short- and long-term strategies for AI engineering and AI data foundations, aligning R&amp;D and Enterprise AI priorities through internal partnerships and external collaborations.</div>
</li>
</ul></div><div><ul><li><div>Driving cross-functional initiatives and influence senior stakeholders to remove complexity, accelerate AI adoption, and enable sustainable AI-driven transformation across the organization.</div>
</li>
</ul></div><div><ul><li><div>Leading the delivery of technology innovation across a complex stakeholder landscape and scientific environment, balancing evolving business priorities while identifying the highest-impact opportunities for AI deployment.</div></li></ul><br>
</div>
<div></div><div><div><b>Qualifications</b></div>
</div>
<div><div><b>To thrive and succeed, we expect you to have:</b></div>
</div>
<div><ul><li><div>Degree in Computer Science, Bioinformatics, Information Technology, Engineering, or a related field.</div>
</li>
</ul></div><div><ul><li><div>Strong background in Artificial Intelligence, Machine Learning, Data Science, or Product Development with a strong focus on product engineering. Solid understanding of AI engineering, data foundations, cloud technologies, and scalable AI solution development.</div>
</li>
</ul></div><div><ul><li><div>Proven experience leading teams or working in a strategic consulting capacity, with a track record of delivering complex AI and Machine Learning initiatives across data engineering, AI/ML research, and IT platforms.</div>
</li>
</ul></div><div><ul><li><div>Experience engaging with senior business stakeholders and translating business needs into technology and AI strategies. Strong stakeholder management, communication, and influencing skills across complex organizational environments.</div>
</li>
</ul></div></div><div><div><ul><li><div>Ability to represent the organization in collaboration with external technology partners and AI providers within areas such as Agentic AI, AI engineering, and data platforms.</div>
</li>
</ul></div><div><ul><li><div>A curious, collaborative, and visible leadership style, with a passion for innovation and continuous learning.</div></li></ul><br>
</div>
<div></div><div><div><b>About the Department</b></div>
</div>
<div><div>You will join a recently established AI Product Engineering team focused on enabling the next generation of AI solutions across R&amp;D. Working closely with Data Science and AI stakeholders across multiple global locations, the team is developing advanced Agentic AI capabilities in areas such as Gen AI-driven content authoring, research assistance agents, knowledge management agents, and compliance automation through AI.</div>
</div>
<div><div>The team plays a key role in shaping scalable AI platforms, engineering standards, and technology foundations that support the sustainable development of AI solutions across a complex and evolving data landscape.</div></div><div><br>
<div>
</div></div><div><div><b>Working at Novo Nordisk</b></div>
</div>
<div><div>At Novo Nordisk, we don't wait for change. We drive it. We're a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating perfection. We never shy away from opportunities to develop, we seize them. From research and development, through manufacturing, marketing, and sales &ndash; we're all working to move the needle on patient care.</div></div><div><br>
<div>
</div></div><div><div><b>What we offer</b></div>
<div>
At Novo Nordisk, you&rsquo;ll join a global healthcare company with a unique culture and strong results. We offer continuous learning, career development, and benefits tailored to your life and career stage.</div>
<div><b>
Salary:</b><b> </b>For this role, the Annual Base Salary ranges from 87,680.00 to 137,660.00 GBP, corresponding to the level of the position.</div>
<div>
The placement within the salary range will be assessed during the recruitment process based on the candidate&rsquo;s skills, competencies, knowledge, and relevant experience.</div>
<div><b>
Incentives and Benefits: </b>The salary package may include short-term and/or long-term incentives as well as other employee benefits based on position level, location, functional area and relevant market benchmarks.</div>
<div>
Learn more about our Reward Philosophy here.</div></div><div><br>
<div>
</div></div></div><div><div><b>Deadline</b></div>
</div>
<div><div><b>17th July 2026</b></div>
</div><div>
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.</div><br>
<div></div>
<div>
At Novo Nordisk, we're not chasing quick fixes &ndash; we're creating lasting change for long-term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger &ndash; a legacy of impact that reaches far beyond today.</div></div></div></div></div></div>

Associate Director, AI Products Engineering, London

Compare The Market

<div><h1 class="jobSectionHeader"><b>Engineering Manager</b></h1><p>
Function: Tech<br>
Location: Hybrid &ndash; London</p><p></p><h2 class="jobSectionHeader"><b><br>
Curious about what's next?</b></h2><p>
So are we. Join Compare the Market and help to make financial decision making a breeze for millions.<br>
<br>
At Compare the Market, we're a purpose-driven business powered by tech and AI. We're building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.<br>
<br>
We've carved a meerkat-shaped niche and we're looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you'll fit right in.<br>
<br>
As an Engineering Manager, you'll play a pivotal role in building a world-class engineering function where technical excellence, ownership, and continuous improvement are at the heart of everything we do. You'll create an environment where engineers are empowered to solve meaningful problems at scale while balancing long-term technical strategy with delivery.</p><h2 class="jobSectionHeader"><b>
What you'll be doing:</b></h2><br>
<p></p><ul><li>
Lead, coach and develop a high-performing engineering team.</li><li>
Recruit, develop and retain engineering talent.</li><li>
Foster a culture of ownership, psychological safety and continuous improvement.</li><li>
Drive technical excellence and engineering best practices.</li><li>
Own the technical health, reliability and maintainability of critical customer facing systems.</li><li>
Partner with Staff and Principal Engineers on architecture and technical strategy.</li><li>
Collaborate with Product Managers to balance delivery, customer value and technical debt.</li><li>
Champion Agile ways of working and data-driven engineering improvements.</li><li>
Drive adoption of AI-augmented engineering practices and developer tooling.</li><li>
Ensure engineering practices align with governance, security and risk requirements.</li></ul><h2 class="jobSectionHeader"><b>
What we're looking for:</b></h2><p></p><p><br>
You'll bring proven experience leading high-performing software engineering teams within modern technology organisations. You'll have a strong software engineering background, excellent communication skills and experience guiding architecture, scalability, maintainability and reliability. You'll be passionate about developing people, improving developer experience, embracing AI-augmented engineering practices such as Spec Driven Development and delivering high-quality technology that creates value for customers and the business.</p><p></p><h2 class="jobSectionHeader"><b><br>
Why Compare the Market?</b></h2><p></p><p><br>
We're a business built for pace and performance. Here, you'll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.<br>
<br>
We believe diverse teams make better decisions, and we're committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.<br>
<br>
If you're ready to stretch yourself, raise the bar, and grow with a team that's serious about performance, innovation, and purpose, we'd love to hear from you.</p></div>

Engineering Manager

C-Serv

<div><p>Most engineers get to use large language models. You will get to build the systems that run them in production, at scale, under real latency and reliability constraints, for one of the most recognised names in application security and traffic management.</p><p>
Our client is expanding its AI Core group and is looking for a Senior or Staff AI &amp; ML Engineer in the UK. This is hands-on, build-focused work at the centre of how the business turns generative AI from a prototype into a dependable product. You will design and ship multi-agent systems, retrieval-augmented generation pipelines, anomaly detection, fine-tuned models, and the real-time inference layer that serves them.</p><p>
If you want ownership over a serving stack rather than a single notebook, and you want your work measured by what holds up in production rather than what demos well, this is the seat.</p>
What you will own<ul><li>Building and shipping generative AI features end to end: from model selection and fine-tuning through to the inference path that serves them.</li><li>Designing multi-agent and RAG architectures, and anomaly detection, that are accurate, observable, and cost-aware at scale.</li><li>Owning the real-time inference layer on Triton and TensorRT, optimising for latency, throughput, and GPU efficiency.</li><li>Standing up the surrounding microservices in Python and FastAPI, containerised and orchestrated for reliability.</li><li>Setting the technical bar: making architecture decisions, raising code quality, and mentoring engineers around you.</li><li>Partnering with research and product teams to take ideas from experiment to a service customers depend on.</li></ul><b><br>
Requirements</b><ul><li><br>
5 to 10 years of relevant experience, including a proven track record as a technical lead who mentors others.</li><li>Strong, current Python engineering, with production services built and shipped (FastAPI or similar).</li><li>Genuine hands-on GenAI depth: LLMs, RAG, agentic or multi-agent workflows, anomaly detection, and fine-tuning (for example LoRA or PEFT).</li><li>Real-time inference experience with NVIDIA Triton and TensorRT, with real attention to latency, throughput, and cost.</li><li>A microservices mindset, with services built in Python and FastAPI, containerised and orchestrated for reliability.</li><li>Solid grounding in Docker and Kubernetes, and large-scale distributed systems on a major cloud.</li><li>Right to work in the UK. We welcome applications from all backgrounds and are committed to equal opportunity.</li></ul>
Nice to have<ul><li>Experience with vLLM or other serving frameworks alongside Triton and TensorRT.</li><li>Experience in security, networking, or other high-reliability domains.</li><li>Big-data tooling (Spark, Databricks, Snowflake) and modern MLOps practice.</li></ul>
What you will get<ul><li>A genuine build mandate inside an established AI Core team, not a proof-of-concept that never ships.</li><li>Fully remote working anywhere in the UK, built around delivery rather than presence.</li><li>Competitive salary, strong benefits, and clear scope to grow into staff and principal-level influence.</li><li>The backing of C-Serv throughout: a delivery partner that runs a real quality filter and looks after its people, end to end.</li></ul><b><br>
Benefits</b><ul><li><br>
Fully remote working anywhere in the UK, built around delivery rather than presence.</li><li>A clear path to grow into staff and principal-level technical influence.</li><li>Full support from C-Serv across the hiring process and beyond, with full-cycle accountability.</li><li>A values-led, woman-owned delivery partner built on empathy, integrity, collaboration, and growth.</li></ul></div>

AI/ML Engineer

Deltatre

<div><p><b>We are the tech company behind the media and sporting moments that matter.</b></p><p>
Over four decades, Deltatre has grown to employ more than 1,000 experts worldwide.</p><p>
We're trusted by the biggest broadcasters, telcos, media companies, sport governing bodies, leagues, and federations.</p><p>
Our products, innovation, dependability, and people continue to redefine how the value of live and on-demand sport, film, TV, and news content is maximized across streaming, digital, data, graphics, officiating, and through marketplace strategy and growth services.</p><br>
<br>
<h2 class="jobSectionHeader"><b>Stellenbeschreibung:
</b></h2><ul><li>Immediate start</li><li>
Central location</li><li>
International company</li></ul><p><b>
Who We Are</b></p><p></p><p><br>
The QA team at Massive comprises of the most talented Testers professionals in the industry. Daily, we pioneer new ways for consumers to interact with technology and take pride in delivering world-class experiences on emerging technologies.</p><p>
Our premium UI software products and UXD consultancy are the principal choice of leading telecom, cable, broadcast, media and aviation companies.</p><p>
We thoroughly enjoy collaborating with each other, and have a passionate and fun culture!</p><p></p><p><b><br>
You</b></p><p></p><p><br>
You are a smart, experienced, creative and naturally inquisitive Tester, who has a strong passion for testing and technology. You believe in the importance of embodying our clients&rsquo; brand into the overall experience and you have a strong understanding or interest of TV apps.</p><p></p><p><b><br>
Role Responsibilities</b>:</p><ul><li>
To work within the Analyst team to assist with the preparation of test plans and the testing of software to company guidelines and standards.</li><li>
To assist in the preparation of test plans and test scripts.</li><li>
To ensure high quality and accuracy is maintained through to software release.</li><li>
To prepare and maintain test plans for use on automated testing tools.</li><li>
To prepare a test plan and test scripts to test each software component and demonstrate the business condition under test and the expected results.</li><li>
To provide feedback to the development team and ensure the work is carried out in accordance with the schedule and the quality requirements.</li><li>
To provide estimates and feedback to the Software Development team for project scheduling purposes.</li></ul><p><b>
Other responsibilities</b>:</p><ul><li>
Liaising with Project Managers</li><li>
Working to the specified timeframe or budget</li><li>
Communication of job status to project leader</li><li>
Daily submission of detailed timesheets</li><li>
Contributing to the positive growth of work environment and Analyst team</li><li>
Demonstrate and maintain a positive attitude to all assignments</li><li>
Other duties as required</li></ul><p><b>
Some of our company perks</b></p><ul><li>
25 days of annual leave per year</li><li>
5 Sickdays</li><li>
English/Czech lessons</li><li>
Coffee/tea and daily office snacks and fruit</li><li>
Friday drinks and end of month celebrations</li><li>
Small, creative, close-knit QA team who love to collaborate</li><li>
Casual dress code</li></ul><p>
Regular attendance on-site at Massive Prague, Czech Republic office</p><p></p><p><br>
For information about how we use your data for recruitment purposes please see our detailed policy here: https://massive.co/recruitment-data-policy/</p><h2 class="jobSectionHeader"><b><br>
Anforderungsprofil:
</b></h2><p>You operate at the level where architecture becomes a question of judgement, not just technique. You make Android platform decisions that hold up over years, document them clearly, and bring other engineers along with you. You are credible across multiple Android teams because you do the work and you say what you actually think &mdash; not because of your title.</p><p></p><p><b><br>
Required</b></p><ul><li>
8+ years' software engineering experience with at least 3 years at Principal, Lead, or Architect level</li><li>
Substantial production experience with Kotlin and modern Android development, with working command of Java</li><li>
Deep architectural understanding of the Android platform &mdash; lifecycle, memory, threading, performance, accessibility</li><li>
Demonstrated experience leading architecture on cloud-connected, high-availability consumer applications</li><li>
Substantial experience with cloud platforms (AWS, Azure, or GCP) and how mobile apps interact with them</li><li>
Demonstrated technical leadership without people management &mdash; code quality governance, mentorship, architectural decision authority</li><li>
Comfortable communicating complex Android technical topics to non-technical stakeholders</li><li>
Familiarity with Agile methodologies and DevOps practices</li></ul><p><b>
Valued</b></p><ul><li>
Experience across multiple Android surfaces &mdash; phone, tablet, connected TV (Android TV / Fire TV)</li><li>
Background in OTT, video streaming, or B2C consumer apps at scale</li><li>
Experience with React Native or other cross-platform mobile frameworks</li><li>
Familiarity with sports / media tech sector</li><li>
Experience with media-specific concerns &mdash; video playback, DRM, encoding</li><li>
Experience mentoring senior engineers (not only juniors)</li><li>
Experience working in a global, distributed team environment</li></ul><p></p><p><b><br>
Who Thrives Here</b></p><p>
Principal Android engineering at Deltatre is technical authority without distance from the code. You are still the engineer who can sit down with a stuck team and work through the problem with them. You are also the person who can sit in a room with product leadership and explain, in their language, why the architectural choice that looks expensive this quarter is the cheap one for next year.</p><p>
People who thrive in this role tend to be honest about technical trade-offs (they don't oversell solutions or under-warn about risks), generous with their reasoning (they explain why, not only what), and patient with the long-arc work where the value of a decision becomes visible only over multiple Android releases. The role asks for deep Android expertise plus the patience and credibility to influence other engineers without managing them.</p><p></p><p><b><br>
Process and what to expect</b></p><ul><li>
Introductory conversation: a step for us to get to know each other better, and for us to answer all questions you might have around Deltatre.</li><li>
1-hour Technical round of Interview: we will deep dive on your experience and collect examples of the responsibilities you've been dealing with in your past experience. A chance to deep dive on the role and for you to ask questions.</li><li>
1-hour Competency Based Interview: we will ask you situational questions around how you deal with real-life scenarios at work. Easier doing it, more than explaining it.</li></ul><p><i>
If any of these formats would be difficult for you, tell us &mdash; we adjust regularly and can usually accommodate.</i></p><p><i>
Accessibility and accommodation questions are welcome at any stage. Tell us what would work for you.</i></p></div>

Senior Test Analyst - Brno

Humanoid

<div><p>Here at Humanoid, we believe in a future where robots amplify human potential. That&rsquo;s why we&rsquo;ve set out on a mission to build the world&rsquo;s most capable, commercially-scalable, and safe humanoid robots. We&rsquo;re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we&rsquo;re growing the team to take it even further.</p><p></p><h1 class="jobSectionHeader"><b>
About the Role</b></h1><p>
We are seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family &mdash; the Alpha Wheeled industrial robot and the Alpha Bipedal home robot &mdash; both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics.</p><p></p><h1 class="jobSectionHeader"><b>
What You'll Do</b></h1><ul><li><p><b>
Team Leadership &amp; Product Security Delivery</b></p><ul><li><p>
Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle.</p></li><li><p>
Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems.</p></li><li><p>
Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats &mdash; including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture.</p></li><li><p>
Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms.</p></li></ul><p><b>
Security Assurance &amp; Certification</b></p><ul><li><p>
Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation.</p></li><li><p>
Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act.</p></li><li><p>
Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects &mdash; with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users.</p></li><li><p>
Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification.</p></li></ul><p><b>
Incident Response &amp; Lifecycle Security</b></p><ul><li><p>
Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis.</p></li><li><p>
Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations.</p></li></ul><p><b>
Commercial &amp; Bid Support</b></p><ul><li><p>
Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope.</p></li><li><p>
Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions.</p></li></ul></li></ul><p></p><h1 class="jobSectionHeader"><b>
What We're Looking For</b></h1><ul><li><p>
Proven, hands-on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes.</p></li><li><p>
Experience owning a security risk management system for highly regulated, safety-critical products &mdash; with background drawn from automotive, commercial vehicle, or industrial automation environments.</p></li><li><p>
Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context.</p></li><li><p>
Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co-development.</p></li><li><p>
Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk-prioritised manner.</p></li><li><p>
Clear, structured communication skills &mdash; able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence.</p></li></ul><p></p><p><b>
Preferred:</b></p><ul><li><p>
Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems.</p></li><li><p>
Understanding of secure-by-design principles for AI/ML-enabled systems, including securing inference pipelines, model integrity, and cloud-to-edge communication paths.</p></li><li><p>
Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems.</p></li><li><p>
Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme.</p></li><li><p>
Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments.</p></li><li><p>
Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS).</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What We Offer</b></h1><ul><li><p>
Competitive equity: stock options with meaningful upside as we scale.</p></li><li><p>
30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas&ndash;New Year shutdown).</p></li><li><p>
Private healthcare, including virtual and in-person care.</p></li><li><p>
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.</p></li><li><p>
Free daily breakfast, catered lunch, and snacks in-office.</p></li><li><p>
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.</p></li><li><p>
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.</p></li></ul></div>

Principal Product Cybersecurity Assurance

Marks & Spencer

Principal Software Engineer SC&L

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