Principal Engineer (IT Automation & AI-native Transformation)

SoSafe

SoSafe has the ambition to become the leading human risk management provider in Europe. Our award-winning awareness platform triggers behavioural change by providing effective and engaging training and simulations on cybersecurity and data protection. Cybercrime is costing the world >$10 trillion annually and growing by 15% p.a. - we invite you to be part of the solution!   Are you a visionary Staff or Principal Engineer, excited about pushing the boundaries of automation and artificial intelligence deployed across a whole company? We're seeking an exceptional candidate to join our IT Engineering team to build the foundation for our AI-native future, in one of the industry's fastest growing SaaS scale-ups. Things no-one seems to know yet: * How to make traditional automation & productivity tools consistently useful across a whole business in a post-AI world * How to balance traditional tools against foundation models and agentic working * How to enable (and protect) citizen builders to use spec-driven design and self-built AI-agents to actually change the organisation, reliably, safely and at scale We want you to solve these problems.   Here's how you'll make a difference: * Test-bed: Architect, build and iterate a toolchain fusing traditional automation and productivity tools (n8n, google workspace, etc) with spec-driven design and agentic working, test out on IT and Security * Iterate: Advocate, mentor and enable other early adopter teams to use our platforms, get value, provide feedback, iterate the platform * Standardise: Build self-sustaining cultural practices across the organisation, enable whole departments, scale the platform for everyone * Drive the evolution of IT operations towards an all-encompassing *-as-code infrastructure model through hands-on architecture and design * Contribute to the IT/Sec Operating System as we move wholesale to build-not-buy teams * Mentor and level up the existing IT engineering team, then whole departments, serving as a technical guide to accelerate skills transfer and foster a strong, collaborative engineering culture * Champion and advocate for our shared automation and AI platforms and methodologies, driving cross-departmental adoption to break down operational silos.   What makes you a great fit: * Demonstrated experience operating at a Staff or Principal Engineer level, ideally within an established, successful, cloud-native hypergrowth SaaS environment * Hands-on builder and systems thinker - A background that includes hands-on coding, ideally in a platform or SRE team. IT experience is secondary, we need builders who can help others build better * A track record of successful AI-native adoption, showcasing how you've successfully moved workflows beyond experimental prompts into robust, production-grade automated workflows or agents * Deep technical mastery of at least some of: infrastructure-as-code, modern CI/CD systems (e.g., GitHub Actions) and enterprise-grade workflow orchestration (e.g., n8n, Zapier) * A pragmatic engineering mindset: You understand that while agentic working is fast and flexible, it brings significant utilization costs; you know how to design hybrid architectures that balance speed with financial efficiency. When faced with a complex problem, you instinctively break it down * Great leadership, stakeholder management and communication skills: The biggest challenge is always people, not technology. You treat internal teams as your customers and excel at explaining complex technical concepts to non-technical "citizen coders" and executive stakeholders alike.   What you will get in return: * A mandate from the CEO to massively accelerate our AI-native transformation in every role, actually solving the AI-related questions that we’re all asking, at speed and scale * A company comfortable with rapid change and iterative development - We love experiments that fail, as long as we learn from them * Collaborative and highly supportive IT and Security team around you - We prize a safe and enjoyable working environment, good work-life balance and solid mental health above all other things * Close relationships with super-smart, highly engaged peers across G&A, GTM and Product Engineering       What we offer* * Work/Life balance: Flexible hours, 33 vacation days * Wellbeing and financial support: Access to Open Up, corporate discounts * Connection & community: Virtual events, collaborative team activities, and opportunities for local meet-ups * And the list goes on: Tech equipment, referral bonuses, dog-friendly HQ *Perks and benefits listed above are for full-time employees and may vary slightly by office location. These are just a sample — you'll learn more during the interview process. About Us At SoSafe, we’re on a mission to make the digital world safer by addressing the human factor in cybersecurity. As one of the fastest-growing security awareness scale-ups worldwide, we leverage behavioural science and data-driven learning to empower people against cyber threats. Our Human Risk Management approach helps organisations turn their employees into their strongest line of defence. Backed by leading VCs like Highland Europe and Global Founders Capital, we’re rapidly expanding across the globe. We’re looking for team players who want to drive meaningful change in cybersecurity, take ownership of their work, and grow with us. If you thrive in a vibrant, purpose-driven environment that values innovation, diversity, and collaboration, then this is the place for you!

PhysicsX

ABOUT US PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. NOTE: WE ARE CURRENTLY RECRUITING FOR MULTIPLE POSITIONS, HOWEVER PLEASE ONLY APPLY FOR THE ROLE THAT BEST ALIGNS WITH YOUR SKILLSET AND CAREER GOALS. THE ROLE The Principal ML Infrastructure Engineer will extend and operate the infrastructure that powers our research model training, fine-tuning, and serving pipelines. You will be embedded within our Research function, partnering directly with ML engineers and research scientists to ensure they can train Large Physics Models efficiently and reliably at scale. TEAM CONTEXT In this role, you will be vertically embedded in Research, working daily with: * Research Scientists who determine the model architectures and methods * ML Engineers who implement and develop the models * Simulation Data Engineers who are accountable for upstream data pipelines You will have end-to-end responsibilities over the research infrastructure, with the autonomy to make architectural decisions and the responsibility to keep data flowing reliably. Horizontally, you will be part of an infrastructure engineering group responsible for infrastructure across the company. WHAT YOU WILL DO TRAINING INFRASTRUCTURE * Design and operate distributed training infrastructure for neural operator architectures (Transolver, Point Cloud Transformer, etc.) on our large NVIDIA DGX B200 platform. * Optimize training pipelines for throughput, fault tolerance, and cost efficiency, including checkpointing strategies, gradient accumulation, and multi-node synchronization. * Build and maintain experiment tracking and observability systems that give researchers clear visibility into training runs, hyperparameter sweeps, and model performance. DATA I/O AND PERFORMANCE * Solve data loading bottlenecks for large-scale mesh datasets. * Optimize data pipelines for efficient I/O from cloud storage, including prefetching, caching, and format optimization. * Work with heterogeneous data sources of varying formats and resolutions. MODEL SERVING AND DEPLOYMENT * Build serving infrastructure for pre-trained LPMs, supporting both zero-shot inference and uncertainty quantification (Monte Carlo Dropout). * Design and implement model packaging pipelines for customer deployment. Models must run reliably in customer environments with fine-tuning capabilities. * Ensure reproducibility: any model checkpoint should be deployable with consistent behaviour. PLATFORM AND TOOLING * Improve developer experience for the Research team with fast iteration cycles, reliable CI/CD, clear debugging tools. * Collaborate with the broader Infrastructure team on shared patterns and standards. WHAT YOU BRING TO THE TABLE * Ability to scope and effectively deliver projects, prioritising activity as needed. * Problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. * Excellent collaboration and communication skills, especially in a research setting. You can translate "the model isn't converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations. * 5+ years of experience building and operating ML infrastructure at scale: * Deep expertise in distributed training: you've debugged NCCL hangs, optimized collective communication, and know when to use FSDP vs. DDP vs. pipeline parallelism * Strong systems fundamentals: Linux, networking (including domain specific NVLink and InfiniBand), storage I/O, profiling and performance optimization * Production experience with Kubernetes and SLURM for job orchestration on GPU clusters * Proficiency in Python and ML frameworks (PyTorch strongly preferred) * Experience with cloud GPU infrastructure; ideally CoreWeave or similar GPU/HPC-focused clouds IDEALLY * Experience with geometric deep learning or neural operators, ****architectures that operate on meshes, point clouds, or graphs * Background in HPC for simulation engineering, familiarity with how CFD/FEA workflows generate and consume data * Experience building model serving infrastructure with latency and throughput requirements * Familiarity with experiment tracking tools (Weights & Biases, MLflow) and observability stacks (Prometheus, Grafana) * Experience packaging models for deployment into customer environments (containers, model registries, versioning)   What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn’t stop there … 🚀 Equity options - share meaningfully in the company you’re helping to build. 🏦 10% employer pension contribution - because investing in future matters. 🍽️ Free office lunches - to keep you energised and focused. 👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. 🍼 YellowNest nursery scheme - to help working parents manage childcare costs. ☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind. 💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. 👀 Eye tests - because good work depends on good health. 📈 Personal development - dedicated support for learning, development, and leveling up over time. 💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. 🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener. 🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. 🔎 Watch this space, we’re continuing to build this as we grow…   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

GWI

Location: London Office requirement : 2 days in the office - Significant travel required Employment type: Permanent   Seniority level: Principal   At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for an Forward Deployed Engineer to play a key role in our Solutions Consultants Team in London. If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.   SOUNDS GREAT, WHAT WILL I BE DOING? 🤔 As our Lead / Principal Forward Deployed Engineer you'll be embedded directly with our most strategic accounts, owning the end-to-end technical deployment of our agentic AI platform. This isn't a support role, and it isn't a solutions consultant with a fancy title — you'll write production code, own technical outcomes, and be the reason our biggest customers succeed and expand. You'll operate with the autonomy of a founding engineer and the commercial instinct of a GTM leader. A few things you'll be responsible for: 👉 Embed with our Tier 1 enterprise accounts and own end-to-end deployments of our agentic AI platform — from discovery through to production, including bespoke integrations, data pipelines, and workflow automations. 👉 Lead AI agents into production in complex environments (legacy systems, security, compliance), turning cutting-edge capability into measurable business outcomes. 👉 Partner with Enterprise AEs in late-stage sales cycles — leading proof-of-concept builds and assessing technical readiness to de-risk and accelerate the close. 👉 Surface patterns from the field and feed them back to product and engineering, acting as the bridge between customer reality and roadmap. 👉 Build out the FDE practice as it scales: repeatable deployment playbooks, success metrics, and mentoring mid-level FDEs. It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.   WHAT DO I NEED TO BRING WITH ME? 🧳 You’ll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you’re willing to learn. Here’s what the team will be looking for in you: 👉 Significant experience in software engineering, solutions engineering, or a customer-facing technical role — with meaningful time spent shipping production code in complex enterprise environments. 👉 Demonstrable experience deploying AI or data-heavy products into large organisations — real production deployments, not just POCs. 👉 Strong full-stack or backend engineering fundamentals: Python essential, plus comfort across APIs, SQL, cloud infrastructure (AWS/GCP/Azure), and data pipelines. 👉 The ability to work through ambiguity and turn it into a concrete technical plan. 👉 Clear communication across technical and business audiences — you can tailor the same idea for an engineering lead and a commercial stakeholder. 👉 Willingness to travel to client sites across the UK and Europe (approximately 30–50% of the time).   Nice to have: 👉 Hands-on experience with LLM deployment, AI agents, or agentic workflow automation. 👉 A background in a high-growth B2B SaaS or AI-native company. 👉 Experience in one or more of GWI's core verticals: financial services, media & agencies, consumer goods, or technology. 👉 Prior experience in an FDE, solutions architect, or technical account management function at a company with a named-account enterprise motion.   Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and they’re a big part of what we’re looking for in you. WHAT’S IN IT FOR ME? 🎁 At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes: 🌴 Time to recharge – 25 days’ annual leave, plus office closures over the holidays. 🧘 Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support. 💸 Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success. 🏡 Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget. 💪 Career growth – Accredited learning, leadership development, and global career mobility. 🌎 Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving.   Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.   DIVERSITY, EQUITY & INCLUSION Diversity is fundamental to who we are—both as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to ensure our workforce is as diverse and inclusive as the insights we provide to our clients. As a Disability Confident employer, we welcome applications from disabled candidates and are committed to providing all necessary adjustments during the hiring process. We also actively encourage applications from underrepresented and marginalized communities. At GWI, you will find a place where you can contribute meaningfully, grow professionally, and belong fully.   #li-hybrid #LI-NIKOSSS1