Technical Director of AI Safety

CoMind

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. THE ROLE: This is a defining leadership role at an exciting stage of CoMind’s growth. You will inherit a talented multidisciplinary engineering team and have the mandate to shape how the hardware function operates — from technical standards and development practices to team structure and long-term capability. You will: * Establish best-in-class hardware development processes and quality standards across mechanical, electronics, and opto-mechanical disciplines. * Build and develop a high-performing team, identifying capability gaps and creating a bench of talent for future product programmes. * Work closely with the Systems Architect, Technical SMEs, and Programme Management to drive delivery across CoMind’s product pipeline. * Take translational research outputs through the full development lifecycle into commercial, regulated medical device products. This role leads the hardware engineering function at CoMind, with responsibility for building and sustaining a high-performing team of mechanical, electronics, and opto-mechanical engineers. As a functional leader, you will own the engineering capability, standards, processes, and tools that underpin CoMind’s medical device development programmes. Working in close partnership with the Systems Architect, Technical Subject Matter Experts, and Programme Management, you will ensure the hardware engineering function is resourced, structured, and equipped to deliver across CoMind’s product pipeline. You will set and maintain the technical standards and development processes that govern how the team works, ensuring alignment with medical device regulatory requirements throughout the product lifecycle. The ideal candidate brings a strong track record in medical device product design and development, with hands-on experience across the full development lifecycle. You will combine deep technical credibility with the people and organisational skills needed to influence decisions at both programme and organisational level.   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. RESPONSIBILITIES: * Team Leadership & Talent Development * Lead, mentor, and develop the hardware engineering team — mechanical, electronics, and opto-mechanical engineers — setting high standards of delivery and continuous professional improvement. * Identify and address skills gaps across the function; build a bench of talent for future programme needs. * Provide direct line management, coaching, and performance development for all direct reports. Functional Ownership & Standards * Own hardware engineering capability — ensuring the function has the right people, skills, tools, and processes for project delivery. * Set and maintain operational, technical, and quality standards. Define and enforce best practices and methodologies; ensure work meets functional quality benchmarks. * Lead the appropriate adoption of AI tools and technologies during product development, where they can demonstrably improve quality or velocity. * Drive continuous process improvement and stay current with industry trends, emerging technologies, and methods within the healthcare industry. Regulatory Compliance * Ensure the engineering team maintains alignment with CoMind’s Quality Management System and medical device regulatory requirements (FDA, ISO 13485, IEC 60601) throughout development. Cross-Functional Delivery * Work with the Systems Architect, SMEs, and Programme Management to enable effective programme delivery. Structure cross-functional collaboration, resolve technical or resource bottlenecks, and ensure the hardware team delivers against project needs. * Take outputs from the translational optical research team and data science team through the development process and into commercial products. * Represent the engineering team at product steering meetings and with senior management, customers, and commercial partners as required. Strategic Planning * Provide strategic and tactical planning input to ensure adequate engineering resources are available to deliver business goals and objectives. * Support development from concept through to product realisation, including industrialisation and scale-up. SKILLS & EXPERIENCE: * Essential * Substantial experience of new product development within a regulated environment, including the medical device industry — with clear progression through the full product lifecycle from concept to commercialisation. * At least 5 years in a leadership role within a complex, multidisciplinary product development environment, ideally including medical devices. * A track record of delivering complex medical devices incorporating optoelectronic systems, real-time embedded systems, SoCs, and safety-critical components. * A rigorous understanding of the application of regulatory standards (FDA, ISO 13485, and IEC 60601) to product lifecycle processes. * Strong problem-solving skills and attention to detail. * Bachelor’s or Master’s degree in Electronics Engineering, Electrical Engineering, or a related field. Technical Experience * High-speed mixed-signal analogue and digital electronics * Ultra-low noise electronic design * Embedded RTOS microcontrollers and microprocessors; safety-critical embedded systems * CAD modelling, FEA, tolerance analysis, and material selection * IEC and UL safety and compliance standards including EMC * PCBA manufacture, test, and qualification within a regulated environment * FMEA techniques and reliability / thermal engineering * High-speed FPGA design * Optical laser interferometry * Optical biophysical measurements and signal processing * Schematic design and component layout for low-noise electronics BENEFITS: * Company equity plan so all employees share in the success of the company * Salary-sacrifice pension scheme * Private medical, dental and vision insurance (medical history disregarded) * Group life assurance at 4x annual income * Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals * Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter * Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later * Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks * YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores DISCLAIMER - We use Granola, an AI notetaker, throughout our interview process to help capture notes. It's used only for note-taking during the conversation. Transcripts aren't saved to shared drives or stored externally. Let us know if you'd prefer we don't.

Motorway

ABOUT MOTORWAY Motorway is the UK’s fastest-growing used car marketplace - our online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our award-winning, technology-led approach has redefined the experience of selling a car. Motorway is backed by some of the world’s leading technology investors, having raised £143 million in Series C funding. This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better. ABOUT THE TEAM GenAI Engineering sits within Motorway's Data and AI function, alongside Machine Learning and the Machine Learning Data Platform. The team owns the GenAI features that shape how buyers and sellers experience the marketplace, spanning agentic workflows in the customer experience and LLM-powered tooling for our dealer network. Over the next two years the function scales from shipping AI features into running a serious GenAI platform. This hire is the technical authority who'll help shape that platform, working closely with engineering leadership across Data and AI and the wider Engineering org. ABOUT THE ROLE This is the most senior individual contributor role on Motorway's GenAI engineering ladder (IC5 / Principal). You'll report to the Director of Data and AI, advising the CPO and the wider exec on AI technical strategy. The remit is the trajectory of GenAI engineering at Motorway over a two-to-three-year horizon: the architecture, the standards and the strategic bets that no single team can absorb on its own. You'll set architectural direction across the GenAI surface area, hold sign-off on materially complex AI systems, and have the credibility to veto implementations that don't meet our agreed technical, safety or quality bar. You'll shape the high-stakes calls on vendor strategy, model selection, build-vs-buy on platform infrastructure, and our responsible-AI posture, providing the technical rationale that lets the Director of Data and AI and the wider exec land those calls with confidence. This is still a hands-on engineering role: you'll design and build the hardest single pieces of work directly, write production code on the systems that matter most, and pair with senior engineers on the architectural decisions that will outlast specific features. You won't own all AI usage at Motorway, you won't own overall AI strategy, and you won't hold budget for AI infrastructure, but you'll contribute meaningfully to all three, and you'll define how GenAI is built and evaluated here. This is a newly-created role and a greenfield opportunity. The technical bets you make will sit behind Motorway's most strategic AI initiatives, including ones not yet started. AI engineering choices at this level shape unit economics for years. IN THIS ROLE, YOU WILL: * Set the overarching architecture for GenAI at Motorway, including reusable patterns for prompt design, RAG (hybrid retrieval, chunking, semantic caching), agent orchestration, evaluation frameworks (LLM-as-judge, golden datasets, adversarial prompts), guardrails and observability that other teams build on * Design and build the hardest single pieces of work directly, taking on the problems nobody else is well-placed to solve and leading our highest-risk, highest-reward technical bets across the GenAI surface area * Hold sign-off on architectural decisions for materially complex GenAI systems, with the credibility to veto implementations that don't meet our agreed technical, safety or quality bar * Advise the Director of Data and AI on build-vs-buy calls for AI infrastructure (vector stores, eval platforms, AI gateways, model routers, agent frameworks), and own the technical rationale behind them * Drive cost, latency and throughput optimisation across our production GenAI systems, with the trade-offs documented and explicit * Define our principles for emerging paradigms, including multi-agent protocols, multimodal systems and agent-to-agent communication * Define our responsible AI principles and keep us aligned with the EU AI Act, NIST AI RMF and ICO guidance ahead of regulatory deadlines * Own opinionated relationships with our model and infrastructure providers, with the credibility to influence vendor roadmaps where it matters to us * Coach engineers across the function, shape how we hire and review, and set the cultural bar for safety, evaluation and production quality * Identify what Motorway should stop pursuing with the same clarity as what we should start, and represent Motorway externally through publications, conference talks and meaningful open-source contributions, used as a multiplier for hiring and partnerships ABOUT YOU * Typically 8+ years building production AI/ML systems, with at least 2 years at the cutting edge of GenAI, and a track record of company-scale technical bets that have materially shifted a business's trajectory * Strong engineering fundamentals and comfort working directly in code: Python and modern API-driven architectures on cloud infrastructure (AWS or equivalent), with the production engineering instincts (CI/CD, observability, SLOs, cost attribution) to take prototypes through to hardened production * Current, hands-on expertise across the GenAI stack: LLM APIs, prompt engineering, RAG (hybrid retrieval, chunking strategy, semantic caching, re-ranking), agentic architectures (multi-step, multi-agent, tool use, memory), evaluation frameworks, LLMOps and fine-tuning * Deep understanding of LLM capabilities and limitations, including how models fail in your domain, what hallucination and prompt injection look like in practice, and how to design evals that catch them * Experience setting architectural standards adopted across multiple engineering teams over multiple years * High-stakes build-vs-buy judgment, with a clear story of where you've been right and where you've been wrong * Strategic grasp of responsible AI and AI governance, with practical experience aligning engineering decisions to NIST AI RMF, the EU AI Act or comparable frameworks * Calm, direct communication with executive and board-level audiences, with the ability to compress technical complexity into the decisions leadership needs to make * Coaching credibility with senior engineers, who have grown materially under your influence * Self-awareness as a leadership trait; you know the limits of your knowledge and pull in outside expertise before that becomes a problem YOU COULD BE A GREAT FIT IF * You have an external technical presence (publications, well-known open-source contributions or conference talks) and use it as a multiplier for hiring and partnerships * You've led an organisation through a major AI paradigm shift in a previous role * You have working knowledge of the ML Engineering and platform layer (serving infrastructure, AI gateways, cost attribution, multi-model routing) that GenAI features run on top of * You've advised commercial leadership on vendor and partnership strategy, including contract and data-rights negotiation * You've worked in a regulated, safety-critical or trust-heavy domain where AI behaviour has material business or legal consequence WE OFFER A FANTASTIC RANGE OF BENEFITS TO HELP YOU THRIVE: * Great work-life balance * Office location with regular social events, office drinks and free snacks to keep you going * Flexibility to work from home up to 1 day per week to help nail that work-life balance * Stock options so you can share in Motorway's growth and future success * Pension scheme to plan for your future with our provider NEST * Strong commitment to your personal development including budget for books, courses, conferences, etc * Opt-in comprehensive health insurance through BUPA and fitness discounts * Cycle to work scheme - save big ££ on a new bike and accessories * One paid volunteering day a year for you to use as you wish * Generous parental benefits including 6 months full paid maternity leave, 4 weeks paternity leave and workplace nursery scheme... and much more!

Multiverse

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. WHY THIS ROLE EXISTS Every foundation model lab is solving the same problem: build more capability. Almost nobody is solving the harder one — what happens when that capability meets a real organisation and real people who have to relearn how they work. That's the adoption layer, still wide open, and Multiverse sits in the unique position to solve this problem with ten years of proprietary learner and employer data driven from 1,500+ companies that no one else has. Diagnose & Prescribe (D&P) is the engine room of that problem. It works out what a learner or employer actually needs, then decides what they get funded for and which apprenticeship or learning path they're pointed to next. D&P is how we assess a learner's or employer's skill gaps, decide what they need, and point them to the right apprenticeship or learning path — so the blast radius here is human and financial, not just a dashboard metric. The line between leading this team and building the product has already blurred, which is why this role exists as it does. We need a leader who stays close enough to the work to have credible judgment in it, and who builds a high-trust team where diverse perspectives actually make the problem-solving better. This is a broad, domain-coherent, event-driven and increasingly AI-native estate. The dominant challenge isn't deep algorithmic difficulty in any single repo — it's holding the whole D&P picture, sequencing work across varied services, and keeping load-bearing decisions safe as the system evolves underneath you. WHAT YOU'RE SIGNING UP FOR * A genuinely unsolved problem — the constraint here is people and adoption, not model capability. * High agency. We set outcomes, not playbooks. You and your team define how this evolves. * Real commercial breadth. This team sits at the intersection of Product, go-to-market, and eligibility — closer to the customer than most engineering roles. * Craft that's respected, not traded off. Strict typing, layered testing, ADRs, observability — and AI-native ways of working as the baseline, not an experiment. * A company mid-transformation, told straight. Multiverse is rebuilding itself into a product-powered, AI-native company in real time. You're not inheriting a finished system — you're one of the people defining it. WHAT YOU'LL DO You will own delivery, technical direction, and team health in the D&P service estate — the full learner and customer journey from diagnosis through prescription to onboarding and growth tracking. Concretely, that means leading the team(s) across surfaces like: * Diagnosis & needs assessment — AI-heavy services (retrieval-augmented generation (RAG), LLM-scored assessment) that turn raw signal into a picture of where a learner or employer actually is. * Prescription & eligibility — build the product which helps learners and customers understand the best learning course for their skills and career development, that leverages a customer's levy funds. Much of this is load-bearing logic with a genuine financial and regulatory blast radius. * Recommendation & onboarding — turning a diagnosis into the right prescribed path and getting learners into it, where those decisions become visible to customers and learners. * The platform arc — continuing to carve D&P logic out of the shared legacy monolith into dedicated services, while backing the newer AI-native product from beta toward scale. * Coach and build the team. Hire well, give every report a real growth plan, and move the team into a high-performing, AI-native operating rhythm — promotions and performance issues are never a surprise. * Stay hands-on. Whiteboard distributed designs, review and negotiate the RabbitMQ event schemas and API contracts that ripple across services, and write production code yourself when it's the fastest way to de-risk or unblock. * Deliver predictably. Use cycle time, change failure rate, and MTTR to balance shipping speed, debt, and change-safety on logic with genuine financial and regulatory blast radius. * Raise the AI-native bar. Prove better discovery-to-build-to-review loops on your own team and share what works across engineering. * Partner on strategy. Work directly with Product and Design — and closely with go-to-market — to turn learner and customer behaviour into technical direction on the surfaces where eligibility and recommendation decisions become visible to real customers. WHAT WE NEED A few terms you'll see below: D&P (Diagnose & Prescribe, this team's name), BAM (our hiring framework — Behaviour, Achievement, Mastery), ADRs (architecture decision records), IfATE (the UK body governing apprenticeship standards). * Engineering management of full-stack teams shipping production software, with real technical depth to review architecture and challenge design. * A team you led has shipped AI features to real users and operated them — not a side experiment. * Strong Python/TypeScript (if you don’t have Typescript, you will need to learn): React/Next.js (App Router, RSC, server actions), tRPC/GraphQL, Node/Express. * PostgreSQL at scale via an ORM, with migration discipline on large, live schemas. * Event-driven systems on a message bus (we use RabbitMQ) — versioned events, idempotency, backward-compatible migration. * A high engineering maturity bar as second nature: typing, testing, feature flags, ADRs, CI/CD, observability. * AI-native delivery in practice — you build daily with Claude Code, Cursor, or the current best tool, and understand context management, model selection, tool design, and the token economics that separate a prototype from an affordable production system. WHAT SETS YOU APART * GTM/acquisition-funnel experience — you've owned surfaces where onboarding and eligibility meet real customers. * Strangler-pattern pragmatism — legacy monolith and greenfield edge-native product, at the same time. * Accessibility and UX as defaults on learner-facing surfaces, not afterthoughts. NOT FOR YOU IF This role won't fit if you'd rather run ceremonies than stay in the system, the design, and the code yourself. It also won't fit if you see AI tooling as a productivity tweak rather than a step change in how a team works. And it needs someone who renegotiates the scope out loud when it's wrong, not someone who absorbs it and hopes it works out. STACK & HOW WE LEAD TypeScript core (React/Next.js, Node) with PostgreSQL and RabbitMQ as the event backbone, plus Python and Elixir services — from RAG pipelines to a Claude-powered edge-native product. GitHub, CircleCI, Datadog. AI-assisted development is first-class, not bolted on. You'll lead full-stack engineers (with Python/Elixir specialists), report to the Senior Director of Engineering for Diagnose & Prescribe, and calibrate regularly with a peer group of EMs — you're not doing this alone. We reject micro-management: we set the objective, you and your team own the how. Kindness, candour, and curiosity over hierarchy — bad news travels as fast as good. Benefits * Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year * Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support * Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month * Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year * Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked! Our Commitment to Diversity, Equity and Inclusion We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.