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About Zego 🚀 At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive. We're not just updating insurance; We're leading the AI evolution in insurance 🤖 For us, AI isn't a line on a roadmap or a buzzword on a slide. It's our operating reality, and it's how we build products that back drivers instead of the old insurance playbook. We don't do things slowly, and we don't do bureaucracy. We back high-performance builders who want ownership, early responsibility and the chance to do the most career-defining work of their lives. You'll get the space to try things, the tools to move fast, and the room to see your ideas reach millions of drivers. Do not take our word for it. Read what Zegons say about us on Glassdoor . If you're ready to build the future of insurance, we're hiring. Purpose of the role As Head of Pricing - Insurance at Zego, you will lead the insurer's technical view of the models that drive our pricing. That covers the actuarial risk models behind our net rates, the demand and market models, and any other predictive model used for pricing and underwriting decisions. The models are built by the MGA pricing teams using a mix of traditional techniques (GLM, GAM, GBM) as well as new AI driven approaches. Your role is to make sure that we, as the insurer, can form an actuarial view on all of them, validate what sits underneath, and stand behind the rates it carries. On the actuarial risk models you will go further still, joining those projects from the start and owning the independent validation end to end. You will do this as the senior technical voice in a small actuarial team, which brings real breadth alongside the depth. Alongside the models you will review pricing and underwriting proposals across both personal and commercial motor in close collaboration with our underwriting team, and you will bring the modelling view into portfolio management. You will work directly with the MGA pricing teams, with underwriting and with our co-insurance partners, with access to senior leadership and to decision making from the first week. What you will be working on Lead the insurer's technical view across the full model landscape: the actuarial risk models, the demand models, the market and optimisation models. For each one the questions are the same: is the approach sound, can the output be trusted, and are we using it the way we intend to. Bring an actuarial view to all modelling approaches including AI driven models. Methods move quickly, you need to keep up. Go deeper on the actuarial risk models that set our net rates: join each project, independently validate the modelling decisions, the rating factor choices and the assumptions applied, and evidence the basis for each. Review, validate and challenge pricing and underwriting proposals across personal and commercial lines, working closely with our underwriting team: tactical pricing changes, full model updates, optimisation algorithms, new underwriting rules and renewal capping. Contribute to portfolio management and portfolio insight: what the KPIs are telling us, what is driving the movements, and what the modelling view says about where performance is heading. Support the insurer's position with our co-insurance partners on the net rates, the quality of the models behind them and the validation we have carried out. Mentor and coach junior actuarial colleagues. Help build the processes, the governance and the tooling, including AI, that allow a small and senior team to work faster and more robustly. What you will need to be successful in the role A qualified actuary, or an equivalent track record inside an actuarial pricing team, with at least ten years of hands-on modelling experience. Deep experience of classic actuarial risk modelling: GLMs built in Emblem, Akur8 or equivalent, with Python used in practice rather than in principle. Real exposure to the newer modelling approaches alongside the classic ones, such as GBMs and other machine learning methods, and the confidence to form an actuarial view on a method you have not built yourself. Experience with UK motor pricing. Experience with other lines of business is an advantage. Experience with newly launched portfolios, or portfolios with limited history. Experience with telematics products and their pricing. The judgement to say whether a model can be trusted, backed by having seen models work and seen them fail. Comfort in a small team with high influence and direct access to decision making, and a genuine interest in developing a less experienced colleague. The Zego ways of working 🏡 Teams work better with time to collaborate and space to get things done. We call it Zego Hybrid: some of us are in our office (central London or Halifax) weekly, others monthly or quarterly. It's about finding the balance between face time and focus that produces great work and a healthy life around it. We also make a point of getting everyone in the same room. Teams come together every quarter, and once a year the whole company does, properly. It's a serious investment and consistently one of the best parts of the year. Here is what the last one looked like . Benefits 🎁 💰 Market-competitive salary, benchmarked against your function and reviewed every year. 🏆 Annual performance bonus, linked to company performance and your contribution. 📈 Share options, a real stake in the company and a share in the future you build 🩺 Private medical insurance. 🏖️ Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new. 💻 Cutting-edge systems and tools, so you always have what you need to drive your impact. Ready to do the most impactful work of your career? We want to hear from you. Zego, leading the AI evolution in insurance. Equal opportunities 🌈 We're an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Position Title: Principal Product Applications Engineer Location: Canada Contract Type: Full-Time, Permanent Compensation: CAD $165,000?$210,000 + applicable bonuses, incentives & benefits Industry: Semiconductors / AI Infrastructure Experience: 8+ Years Role Overview Our client is seeking a Principal Product Applications Engineer to support next-generation AI infrastructure and high-speed switching technologies. This customer-facing role will serve as a technical expert for Scorpio Smart Fabric Switches , working with hyperscalers, AI system builders, ODMs, and technology partners from initial architecture and evaluation through production deployment. The role combines customer engineering, system integration, post-silicon validation, technical troubleshooting, and product development , with significant influence on future PCIe Gen 6/7 and UALink-based platforms. Key Responsibilities Customer Enablement Lead technical engagements with hyperscalers, ODMs, OEMs, and AI system partners. Support customer architecture discussions, system design-in, evaluation, bring-up, and deployment. Lead on-site and remote debugging, performance tuning, and system integration. Translate customer requirements into actionable feedback for product, silicon, firmware, and engineering teams. Post-Silicon Validation & Integration Influence post-silicon validation strategies for next-generation switching platforms. Execute system-level integration and troubleshoot complex hardware and software issues. Debug challenges involving PCIe Gen 6/7, UALink, UCIe, signal integrity, firmware, and software stacks . Partner with hardware, firmware, and SI/PI teams to identify root causes and deliver production-ready solutions. Technical Leadership Serve as the primary Scorpio applications expert across sales, marketing, product, and engineering functions. Mentor junior applications engineers and provide technical guidance across customer projects. Represent the organization at customer executive reviews, industry forums, and relevant standards bodies. Develop technical collateral, white papers, training materials, and customer-facing documentation. Contribute customer and technical insights that help shape product and technology roadmaps. Requirements Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field. 8+ years of experience in product applications, systems engineering, or post-silicon validation involving high-speed connectivity or networking silicon. Strong understanding of physical-layer technologies and high-speed serial interfaces such as PCIe, Ethernet, UALink, or UCIe . Hands-on experience with laboratory bring-up, system debugging, and integration using oscilloscopes, BERTs, protocol analyzers , or similar equipment. Proven experience working directly with hyperscalers, cloud providers, Tier-1 OEMs, or ODMs. Excellent communication and presentation skills with the ability to translate complex technical concepts into clear customer-facing solutions. Preferred Qualifications MS or PhD in Electrical Engineering, Computer Engineering, or a related discipline. Experience with PCIe Gen 6/7, UALink, or UCIe and related compliance testing. Knowledge of AI/ML rack-scale architectures, GPU fabrics, and accelerator interconnects. Python or shell scripting experience for validation, automation, and diagnostics. Experience con

About Nucs AI Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we're tackling one of medicine's most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity. We sit at the intersection of diagnostics and treatment planning—building AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer and expanding across oncology, we partner with world-leading medical institutions and pharmaceutical companies across the US, Europe, and Australia to bring precision oncology into everyday clinical practice. Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide. We're venture-backed, early-stage, and building a team that blends deep clinical expertise with engineering intensity—moving with the rigor the medical field demands and the speed the problem deserves. The Opportunity Nucs AI is looking for a Machine Learning Scientist to deepen our ML research capabilities in clinical oncology. This is a senior, research-oriented role for someone who wants to develop novel approaches to medical image analysis, treatment outcome prediction, and multi-modal clinical data integration - and see those methods reach real clinical settings. You'll work at the intersection of ML research and clinical application, collaborating closely with physicians, medical physicists, and experienced engineers with deep domain expertise. Together, you'll develop methods that are scientifically rigorous and clinically meaningful. Your work will directly shape our product capabilities and contribute to peer-reviewed science. What You'll Do Research & Method Development Develop novel ML/DL methods for medical image analysis, including segmentation, lesion detection, longitudinal tracking, treatment response prediction, and outcome modeling Design and conduct experiments to evaluate new approaches against clinical baselines and state-of-the-art methods Stay current with the literature and propose research directions that advance Nucs AI's product and scientific goals Publish findings in top-tier venues (MICCAI, RSNA, JNM, Medical Image Analysis) and represent Nucs AI at scientific conferences Clinical Translation Collaborate with clinicians and medical physicists to ensure methods are grounded in clinical reality Produce validated research outputs with documented performance benchmarks and clear handoff specifications for production engineering Contribute to clinical validation studies and evidence generation for regulatory submissions External Engagement Collaborate with external academic research partners on joint studies Support scientific diligence with pharma and clinical partners Contribute to Nucs AI's scientific credibility in the field What You Bring PhD in machine learning, computer vision, medical image analysis, biomedical engineering, or related field Strong publication record in relevant venues (medical imaging, clinical ML, computer vision) Experience structuring and executing research collaborations with academic and clinical institutions Deep expertise in deep learning architectures for image analysis (CNNs, transformers, U-Nets, etc.) Strong programming skills in Python and deep learning frameworks (PyTorch preferred) Experience working with medical imaging data (PET/CT, MRI, or similar modalities) Strong statistical foundations - experimental design, hypothesis testing, survival analysis, and clinical biostatistics Bonus Points Experience with nuclear medicine imaging & dosimetry (PSMA-PET, FDG-PET, SPECT) Expertise in treatment outcome prediction, survival analysis, or longitudinal modeling Experience with multi-modal data integration (imaging + clinical + genomic) Familiarity with clinical trial design and regulatory evidence requirements Prior industry experience translating research into deployed products Experience with graph neural networks, molecular representations, or drug-response modeling Experience with Generative AI in medical domain Why Nucs AI Mission with real impact – Your work directly improves how cancer patients are diagnosed and treated. Ground-floor opportunity – Early-stage company, meaningful equity, and outsized influence on the direction we take. World-class collaborators – Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally. Massive market tailwinds – Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets. Autonomy and flexibility – Remote-first, flexible working. We hire great people and trust them to deliver. Equity upside – Competitive equity package. We're building something big and want you to share in it. How to Apply Submit your resume and a brief note on why this role and Nucs AI excite you. Equal Opportunity Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 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"If you are excited by the challenge of using ML to make sense of large, complex and disparate health datasets, this is the right opportunity for you. Be a part of a collaborative team of clinicians, scientists and engineers building a real world solution that aims to bring clarity and efficiency to clinical practice."- Abdul Wahab, Machine Learning Scientist, Advanced TechnologyAbout the RoleThis is a paid residency that will be undertaken over a 4.5-month period with the potential to be hired by our client, Theragraph, afterwards (note: at the discretion of the client). The Resident will report to an Amii Scientist and regularly consult with the client team to share insights and engage in knowledge transfer activities. Successful candidates will be members of a cross-functional project team with backgrounds in ML research, project management, software engineering, and new product development. This is a rare opportunity to be mentored by world-class scientists and to develop something truly impactful.About the ClientTheragraph is an early stage digital health startup based in Edmonton, Alberta. We simplify the complexity of health records to help specialist physicians make better decisions in less time. At the same time, we provide patients with never-before accessible visibility into their disease history and pharmaceutical companies with the data they need to innovate. Founded and led by practicing physicians, Theragraph is built to be overwhelmingly useful for healthcare providers and a bridge for harnessing health data towards better health outcomes. We are a small, scrappy team of intelligent, pro-active and curious people. We are currently fully remote but like to gather in person when we can.About the ProjectThis project involves the development of an intelligent data extraction pipeline from unstructured data source to structure complex medical records for Crohn's and Ulcerative Colitis patients. We utilize an open-source 20B parameter GPT model to process unstructured OCR text into high-fidelity clinical datasets, supported by a robust two-stage Human-in-the-Loop (HITL) framework. This system captures real-time expert corrections for both noisy machine-generated text and LLM structural errors, generating a rich repository of preference pairs and audit logs. The primary objective is to apply advanced Reinforcement Learning techniques (such as RLHF or GRPO) to fine-tune the LLM, enabling the model to learn directly from clinical subject matter expert evaluations. Built on a scalable AWS architecture, the project focuses on minimizing model hallucinations and managing the "alignment tax" to ensure precise medical reasoning and formatting. By closing the feedback loop between human validation and model training, we aim to achieve production-grade accuracy in the automated capture of specialized health data.Required Skills / ExpertiseAre you passionate about building great solutions? You'll be presented with opportunities to both personally and professionally develop as you build your career. We're looking for a talented and enthusiastic individual with a solid background in machine learning, specifically human-in-the-loop reinforcement learning techniques, ideally with some experience with unstructured data extraction methods (OCR-, LLM-based, etc.)Key Responsibilities: Design, implement, optimize, and evaluate models to accurately capture health data across a range of data types, formats, and domains. Apply advanced reinforcement learning methods (e.g., RLHF, GRPO) and subject matter expert evaluations to learn from mistakes and improve data collection processes. Conduct applied research on reinforcement learning, OCR and RAG techniques to overcome limitations in current approaches. Optimize ML pipelines to ensure efficiency, scalability, and real-time processing capabilities. Implement specific metrics to measure "alignment tax" and ensure that RLHF improvements in accuracy do not degrade the model's general reasoning

Your mission Who we are NeuroNation is the personalised training app that empowers more than 20 million people all over the world in staying brain healthy and happy in their lives. We collaborate closely with scientists and universities to achieve the best results possible. Our engaging apps have received awards from major health insurance companies, such as the AOK, funded by the German Federal Ministry of Health. Also, we've been awarded by Apple and Google as one of the best apps available. To improve the training experience our app provides and make the product more effective and engaging to users and patients, we are looking for a passionate person with a background in science and deep interest in digital health and games. Since the role touches many different fields, you don't have to bring all know-how already with you - we are welcoming passionate learners who want to develop themselves in this role. So, if you want to help us shape a better tomorrow, join us on our journey! Your roles and responsibilities Improve the training experience and the exercises of our mobile and web app by making NeuroNation as effective and engaging as possible Continuously incorporate the latest findings from neuroscience by reading scientific papers and learning from concepts that have been proven to have impact on clinical outcomes Apply User Research and Usability Testing to learn how we can best help users and patients, and define useful features and visual concepts Collaborate with our scientific partners from various universities and clinics to run successful clinical trials with NeuroNation Analyse massive amounts of data continuously collected from millions of users to drive optimal decisions in product development Run A/B tests to experiment with new ideas Be your own user, assure the quality of the product, and become one of the experts for cognitive training Live with a Growth mindset - constantly look for learning opportunities for yourself and the team Work closely with colleagues from Marketing, Business Intelligence, Customer Care, and CRM Join the Growth and Product teams to collaboratively help millions of users and patients to stay fit Your profile Who you are and what you have done You have a deep personal interest in BRAIN TRAINING and SELF-IMPROVEMENT You have at least 2 years of working experience in Neuroscience, Cognitive Science, Psychology, or related fields You are a passionate learner You have personal experience as a user of digital health, education, or productivity apps You have personal experience as a user of digital games Excellent written and oral communication skills in both German and English. You have strong problem-solving skills You have a deep interest in analysing engagement, retention, and other behavioural data You are well-organised and have good project management skills. You can multi-task and manage multiple tasks concurrently. You are a team-player and love to help out your colleagues. Bonus: You have experience with Games or Gamification Bonus: You have experience or talent with UX or Visual Design Bonus: You have knowledge of SQL, R, or Python Bonus: You hold a PhD in Neuroscience, Cognitive Science, or Psychology Why us? Flexible working hours with core hours, so you can balance sport, hobbies, and career A hybrid role in Berlin — 3 days in the office, 2 remote An office at Gendarmenmarkt with events, a roof terrace, snacks, and drinks A bespoke onboarding programme to get you up to speed on the role, products, and teams fast A clear working structure where initiative and creativity are valued Flat hierarchies and an open feedback culture Varied tasks in a dynamic, innovative environment An energetic, motivated, well-organised team Team events and workshops Sponsored gym and sports-class memberships Deutschland-Ticket A €1,000 personal development budget Find more English Speaking Jobs in Germany on Arbeitnow

About Us STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop, and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective — providing operators with a decisive edge in contested environments. We are focused on delivering deployable, high-performance systems — not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe, today. About the team You will join our Open Source Aero Simulation team, dedicated to building and scaling next-generation autonomous flight systems. We focus on developing, validating, and implementing end-to-end aerodynamic and flight dynamics workflows built primarily on open-source tools and simulation frameworks. By integrating cutting-edge AI agents with open-source platforms, we accelerate rapid prototyping, multidisciplinary design optimization, and mission-critical aircraft analysis. We operate in an agile, hands-on environment where open engineering and cross-disciplinary innovation drive everything we build. Your mission As a Senior AI & Flight Dynamics Integration Engineer, you will own and develop an AI-driven autonomous aircraft design and optimization workflow at STARK. You will integrate LLMs and AI agents with aerodynamics, CFD, flight dynamics, and multidisciplinary simulation tools to accelerate rapid prototyping and aircraft development. Your mission is to automate complex engineering decision-making loops and deliver highly performant, software-defined flight platforms. Responsibilities Develop LLM and AI Agent-based engineering workflows to interpret aircraft requirements and support iterative design decisions. Automate parametric aircraft geometry using OpenVSP, Python, and STEP-based CAD workflows. Integrate Flow5 (VLM / Panel Methods) and OpenFOAM CFD to build aerodynamic databases including C_L, C_D, C_m, C_p, and stability derivatives. Develop 6-DoF flight dynamics and flight mechanics models, including trim, stability, control authority, propulsion, and aircraft performance calculations. Integrate aircraft KPIs such as take-off/landing speed and distance, range, endurance, rate of climb, and efficiency into an automated optimization loop. Drive multidisciplinary design optimization (MDO) frameworks to rapidly evaluate aircraft trade-offs. Collaborate with systems and software teams to validate dynamic models against simulation and flight test data. Qualifications Minimum 5+ years of relevant professional experience in engineering automation, aerodynamics, or flight systems. Strong background in Flight Dynamics, Aerodynamics, and Stability & Control. Demonstrated experience with Python and engineering workflow automation. Hands-on experience with OpenFOAM, VLM/Panel methods, or OpenMDAO. Degree in Aerospace, Aeronautical, Systems, Computer Engineering, or a related field. Nice to have Direct knowledge and experience with OpenVSP and Flow5. Hands-on experience integrating LLM APIs, AI Agents, and modern MDO tools. Experience in unmanned aerial systems (UAS) or rapid-prototyping defence environments. If you're interested in building the future of European Defence with us, and you see yourself reflected on the description above, please send us your CV in English . We´re looking forward to meeting you! The proliferation of low-cost UAS has fundamentally changed the threat landscape, and STARK is building the system that counters it. As Product Manager for our C-UAS C2 software suite, you will own the vision and execution of the central intelligence layer connecting sensor networks to effector tasking. Your mandate is clear: compress the DTIM loop, reduce operator cognitive load, and ship a product that works when lives depend on it. Find more English Speaking Jobs in Germany on Arbeitnow

We are looking for a Systems Engineer to support the definition, integration, and verification of Assembly, Integration, and Test (AIT) activities and Ground Support Equipment (GSE) for our orbital rocket programme. You will translate vehicle and subsystem needs into clear requirements for test setups, tooling, interfaces, facilities, and operational procedures. Working closely with the Lead Systems Engineer and teams across avionics, software, structures, propulsion, GNC, manufacturing, and test, you will help ensure that flight hardware and the systems used to assemble and test it work together effectively. This is a hands-on systems role for someone who enjoys working across disciplines and close to real hardware. Your work will contribute directly to efficient vehicle integration, robust test campaigns, and successful launch operations. About us We're a Germany-based rocketry startup currently in stealth mode, scaling up rapidly to meet the demand for high-performance, reliable, and scalable solid propulsion technologies for space and defense applications. We are already launching suborbital and ballistic rockets on a regular basis, generating significant revenue and applying our knowledge toward the development of an orbital rocket. We are working hard to build something truly spectacular. To thrive here you will need to be comfortable working at pace, with the autonomy to make decisions and execute on them quickly. If you're excited by hard technical challenges and want a role where you will make a real difference each day to the future of the company, we may be the place for you. At our company, job titles and career progression are earned, not determined by years of experience alone. They reflect the responsibility you take on and the dedication you bring to each project. If you're ready to rise to the challenge, we'd love to hear from you. Key responsibilities Capture, define, and manage AIT and GSE requirements derived from vehicle, subsystem, manufacturing, and test needs. Define and maintain key interfaces between flight hardware, GSE, tooling, test facilities, avionics, software, propulsion, and operations. Develop system architectures, interface definitions, requirements specifications, verification matrices, and other supporting systems documentation. Identify requirements for tooling, fixtures, handling equipment, electrical and data connections, instrumentation, facilities, and test infrastructure. Support vehicle integration, test planning, readiness reviews, procedure development, and the verification of AIT and GSE systems. Track system-level issues, interface actions, assumptions, and dependencies through to resolution in collaboration with the relevant technical teams. What we're looking for A degree in systems engineering, aerospace engineering, mechanical engineering, electrical engineering, or a related discipline; equivalent practical experience may also be relevant. Experience in systems engineering, AIT, integration, test engineering, GSE, or another complex hardware-development environment. Experience defining requirements, managing interfaces, and producing clear technical documentation. An understanding of how flight hardware, ground equipment, tooling, facilities, software, and test operations interact. A structured and practical approach to problem-solving, with the ability to work from incomplete information and drive actions forward. Strong communication skills and the ability to work effectively across multidisciplinary engineering and operations teams. Desirable experience Launch vehicles, spacecraft, propulsion systems, defence systems, missiles, or other complex aerospace hardware. Designing or specifying GSE, test stands, fixtures, handling equipment, instrumentation, or data-acquisition systems. Electrical, mechanical, fluid, thermal, structural, or data-interface definition for integrated hardware systems. AIT campaigns, vehicle integration, launch operations, static-fire testing, or formal test-readiness processes. Model-based systems engineering, SysML, requirements-management tools, or interface-control documentation. CAD, PLM, Python, MATLAB, test automation, or other tools used to define, analyse, or verify integrated systems. Benefits and important information We offer top-decile compensation packages, bonuses, and meaningful equity. Every employee is awarded stock options in the company, so you will directly benefit from your own hard work and success. Comprehensive relocation support including flights, shipping, and visas. Lunch, dinner, and drinks provided every day. Free access to shared company housing. Please note, we are a fast-paced, hyper-scaling startup. You will need to be comfortable working extended hours with high levels of autonomy, ownership, and flexibility, with contracts structured around a 48-hour working week. We are committed to building an equitable and inclusive workplace where everyone feels valued, has equal access to opportunity, and can thrive. We welcome different perspectives, backgrounds, and experiences—and believe our differences make us stronger. Please submit applications in English. Benefits and important information: We offer top-decile compensation packages, bonuses and meaningful equity, to attract exceptional aerospace talent. Every employee is awarded stock options in the company, you will directly benefit from your own hard work and success. Comprehensive relocation support including flights, shipping and visas. Lunch, dinner and drinks provided everyday Free access to shared company housing Please note, we are a fast paced, hyper-scaling startup. You will need to be comfortable working extended hours with high levels of autonomy, ownership, and flexibility, with contracts structured around a 48-hour working week. We are committed to building an equitable and inclusive workplace where everyone feels valued, has equal access to opportunity, and can thrive. We welcome different perspectives, backgrounds, and experiences—and believe our differences make us stronger. Please submit applications in English Find Jobs in Germany on Arbeitnow

REFERENCE #: 2610-AC Calkins & Burke Ltd. is a leader in providing food products to major retail and food service distributors throughout the world. We pride ourselves on our strong work ethic and our positive work environment. Calkins & Burke Ltd. is looking to fill a full-time Assistant Controller position. Industry: Import/Export, Food Products Duties Include: Maintaining accounting department internal controls Preparing monthly non-consolidated financial statements using ASPE GL account reconciliation and analysis Margin analysis Maintaining fixed asset and prepaid schedules GST, QST and PST filing Statistics Canada reporting Cheque and electronic payment approval Assistance with year-end audit file and liaise with external auditors Qualifications: Designated Accountant with 3-5 years experience Strong analytical skills and proficiency in Excel Attention to detail with solid organizational abilities Problem solver who has excellent communication skills, written and oral Good interpersonal skills and enjoys working in open environment Experience with Business Central Dynamics would be an asset Compensation / Hours: Annual salary: $85,000 ? 115,000 depending on experience Probation period: 3 months Reports to: Financial Controller and CFO Hours: 8 hours per day, entitled to two 15min breaks (paid), and 1 hour lunch (unpaid) Holidays: 3 weeks per annum as base with 1 day added each subsequent calendar year to a maximum of 4 weeks Benefits: Extended health and dental immediately If you feel you would be a great candidate for this position, please send your resume and cover letter explaining why you chose accounting as your career to jobs.candb@gmail.com quoting REFERENCE #: 2610-AC in the subject line. Submission deadline: 3:00pm, Monday, October 19, 2026. Potential applicants will be contacted via e-mail to set up interviews. For all others, we thank you in advance for applying. Pay: $85,000.00-$115,000.00 per year Benefits: Dental care Extended health care Ability to commute/relocate: Vancouver, BC: reliably commute or plan to relocate before starting work (required) Work Location: In person

Build the security foundations behind cutting-edge construction technology At XYZ Reality, we've created the world's first engineering-grade Augmented Reality solution for construction. Our product, The Atom, is used on major projects worldwide to bring designs to life on-site and help teams build more accurately, efficiently and with fewer mistakes. As a Series B business scaling across the UK, US and Europe, our technology – and the security environment supporting it – is becoming increasingly sophisticated. Our stack spans Kubernetes on Azure, mobile and embedded AR, REST APIs, real-time collaboration and AI-powered data pipelines. We already hold SOC 2 Type II and ISO 27001, but as our product, customers and use of AI continue to evolve, we now need dedicated security expertise within the business. We're looking for an experienced Senior Security & Compliance Engineer to take ownership of security across XYZ Reality and help build a security capability that can scale with us. The Role This is a critical hire and an opportunity to become our first dedicated security specialist, with genuine ownership and influence across the business. While we already have established compliance activity and SOC 2 Type II and ISO 27001 certifications, security responsibilities currently sit across different teams. We're now looking for someone who can bring that together, identify where we need to strengthen our approach and provide dedicated technical security leadership as we scale. This is first and foremost a technical security role. You'll sit within Engineering and work directly alongside the teams building our technology, participating in architecture discussions, development workflows and technical decision-making rather than operating as a separate security function reviewing work after the fact. You'll take ownership of security architecture across our technology stack, embed shift-left security practices into how we build, strengthen our cloud and application security, and ensure we remain ahead of both established and emerging threats. As our use of AI continues to develop, you'll also help us understand and respond to new AI-related security risks and attack vectors, ensuring our security approach evolves alongside our technology. Compliance remains an important part of the role. You'll help strengthen our SOC 2 Type II and ISO 27001 posture and support areas including GDPR, data residency and enterprise customer requirements. However, we're looking for someone who brings strong hands-on security expertise first, alongside the governance and compliance knowledge needed to operate effectively across both areas. You won't simply inherit a security playbook, you'll have the opportunity to help build one. The role is based in London on a hybrid basis, with a minimum of 3 days per week in the office, enabling you to work closely with our Engineering, Product and wider business teams. What You'll Be Doing Take ownership of security architecture and technical security across XYZ Reality's technology environment. Assess our current security posture, identify vulnerabilities and control gaps, and develop pragmatic remediation plans. Architect and strengthen security across our Azure cloud environment, including Kubernetes clusters, databases and data pipelines. Own and improve areas including IAM, zero-trust networking, secrets management, RBAC, pod security and encryption. Embed shift-left security into engineering workflows, integrating SAST, DAST, dependency scanning and SCA into our CI/CD pipelines. Partner directly with Engineering and Product teams on architectural decisions, technical trade-offs and secure-by-design development. Run threat-modelling exercises and support developers with secure coding practices across Node.js, React Native and C++ environments. Own vulnerability management, including triage, risk prioritisation, remediation tracking and incident response where required. Develop and improve the logging, monitoring and alerting capabilities needed to identify and respond to security threats. Assess emerging threats, including those associated with AI-enabled products, tooling and new attack methodologies, and ensure our security approach continues to evolve. Strengthen our SOC 2 Type II and ISO 27001 controls, identifying gaps and improving implementation where needed. Support compliance cycles including controls testing, evidence gathering and auditor coordination. Support GDPR and data residency requirements across our infrastructure and data pipelines. Engage with enterprise customers and prospects on XYZ Reality's security posture when required. Automate security controls and processes wherever possible rather than relying on manual intervention. Help establish the standards, tooling and operating model for a security capability that can scale with the business. What We're Looking For Demonstrable in-depth hands-on technical security experience, ideally spanning application, cloud and/or infrastructure security. Strong technical security capability and the confidence to own security decisions end-to-end rather than operating purely in an advisory or governance capacity. Strong cloud security experience, ideally Azure, although significant AWS or GCP expertise with the ability to transition quickly to Azure would also be considered. Hands-on experience securing Kubernetes/containerised environments, including IAM, RBAC, network segmentation, secrets management, image scanning and pod security. Experience integrating security tooling into CI/CD environments, including SAST, DAST, SCA and dependency scanning. Experience with infrastructure-as-code security and technologies such as Terraform, Helm or GitOps. Understanding of application and API security, including OAuth 2.0, JWT, mTLS and secure development practices. Experience identifying vulnerabilities, assessing technical risk and driving remediation. Comfortable writing automation using Python, Go, Bash or similar to operationalise security controls. Practical experience working with SOC 2 Type II and/or ISO 27001, including identifying gaps and strengthening controls. Current knowledge of the evolving cybersecurity landscape and an interest in emerging threats, particularly those associated with AI. Strong communication skills and the ability to translate security requirements for both technical and non-technical stakeholders. A pragmatic, collaborative approach, you understand that great security enables engineering teams rather than creating unnecessary barriers. Experience building or scaling security capability within a high-growth or Series A/B technology business would be particularly valuable. You'll understand the balance between addressing today's risks and building security foundations capable of supporting where the business is heading next. Above all, we're looking for someone who is technically strong, curious and proactive, someone engineers want to work with, who can bring credibility to security conversations while remaining pragmatic about how we build and ship great technology. What You Could Be Working On From the outset, you'll have the opportunity to make an impact across areas including: Azure and Kubernetes security architecture Application and API security Secure software development and shift-left security Vulnerability management and incident response AI-related security and emerging threat management SOC 2 Type II and ISO 27001 maturity Security automation and CI/CD integration Enterprise customer security requirements Building XYZ Reality's longer-term security capability and roadmap Why Join Us 🔐 Become our first dedicated security hire and have genuine ownership over how security develops at XYZ Reality 🏠 Hybrid working from our London office 🏝️ 25 days annual leave + public holidays 🩺 Private healthcare with Vitality 🎄 Additional Christmas shutdown days 🪙 Biannual salary reviews 🥳 Summer & Christmas company events 🍣 Free Thursday lunch and after-work gatherings 💰 Employee referral scheme 🚲 Cycle to Work scheme If you're an experienced security engineer who wants more than maintaining an established security programme, and you're excited by the opportunity to build, influence and own security within a growing technology business, we'd love to hear from you. 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Education: Secondary (high) school graduation certificate. or equivalent experience. Work setting: Rural area. Tasks: Assist health care professionals. Develop information materials for patients. Follow through on treatment programs with patients. Help medical examiner in charge. Clean and maintain equipment. Maintain inventory of equipment. Process files and paperwork. Schedule and confirm appointments. Order supplies and equipment. Organize and maintain inventory. Computer and technology knowledge: MS Excel. MS Office. MS Outlook. MS Word. Personal suitability: Client focus. Dependability. Flexibility. Team player. Screening questions: Are you currently a student?. Do you have experience working in this field?. Experience: 1 to less than 7 months. Other benefits: Free parking available. Support for newcomers and refugees: Offers mentorship programs that pair newcomers and/or refugees with experienced employees . Support for youths: Offers mentorship, coaching and/or networking opportunities for youth.

About HappyRobot HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate through voice and email - they make decisions, take action, and run operations autonomously across entire enterprise systems. Born in Y Combinator (S23) and backed by a16z, Base10, Prysm Capital and Eurazeo with over $200M raised, we power critical operations for global enterprises worldwide. Our platform is battle-tested in the most demanding environments, where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto. About the Role As a Customer Support Engineer , you'll be on the front lines of our customer experience. You'll work directly with customers to quickly triage issues, debug problems, and ensure they're getting the most out of HappyRobot's AI platform. This role is a hybrid between technical support and customer engineering: you'll diagnose issues, design and test quick solutions, and collaborate closely with both engineering and product teams to make our platform even stronger. You'll also apply prompt engineering skills to help customers fine-tune their AI workers, ensuring accuracy, reliability, and speed across real-world logistics workflows. This role is ideal for someone with strong technical fundamentals who wants to grow into a more senior customer engineering or product-facing position over time. Tech Profile Comfortable Full-Stack: Python, React, TypeScript, Node.js. Experience managing APIs and integrations with third-party systems. Some exposure to infrastructure and cloud deployments. Familiarity with LLM prompting and tuning of voices/transcribers; eager to experiment and iterate. Strong debugging and problem-solving skills — quick at identifying the root cause of issues. Must Have Excellent written and verbal communication skills in English — able to explain technical concepts clearly to non-technical stakeholders. Strong ability to triage, prioritize, and resolve issues independently under tight deadlines. Curiosity and adaptability: you can learn customer workflows quickly and propose solutions. Self-starter mindset — comfortable working independently, with a bias toward action. Passion for delivering outstanding customer experiences. Why join us? Join a world-class team of engineers and builders. Backed by top investors including a16z, Y Combinator, Base10, Prysm Capital and Eurazeo. Have ownership and autonomy of projects and are encouraged to ship. Comprehensive Benefits including healthcare, dental, vision coverage. Competitive salary + equity in a high-growth startup. Our Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it's not "your job." If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don't wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for "just fine." We sweat the details because details compound. Whether it's a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody's watching. We are "majos" Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. "Majo" is our way of saying: be a good human. Be approachable, helpful, and warm. We're building something ambitious, and it's easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We're running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; 'exceptional performance is the passing grade.' Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that's how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don't copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It's how we build what others think is impossible. The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller. By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer. In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data. If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through ----- subject to the GDPR. For more information, visit https://www.happyrobot.ai/privacy-policy By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described. Find more English Speaking Jobs in France on Arbeitnow

About HappyRobot HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate through voice and email - they make decisions, take action, and run operations autonomously across entire enterprise systems. Born in Y Combinator (S23) and backed by a16z, Base10, Prysm Capital and Eurazeo with over $200M raised, we power critical operations for global enterprises worldwide. Our platform is battle-tested in the most demanding environments, where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto. About the Role As a Customer Support Engineer , you'll be on the front lines of our customer experience. You'll work directly with customers to quickly triage issues, debug problems, and ensure they're getting the most out of HappyRobot's AI platform. This role is a hybrid between technical support and customer engineering: you'll diagnose issues, design and test quick solutions, and collaborate closely with both engineering and product teams to make our platform even stronger. You'll also apply prompt engineering skills to help customers fine-tune their AI workers, ensuring accuracy, reliability, and speed across real-world logistics workflows. This role is ideal for someone with strong technical fundamentals who wants to grow into a more senior customer engineering or product-facing position over time. Tech Profile Comfortable Full-Stack: Python, React, TypeScript, Node.js. Experience managing APIs and integrations with third-party systems. Some exposure to infrastructure and cloud deployments. Familiarity with LLM prompting and tuning of voices/transcribers; eager to experiment and iterate. Strong debugging and problem-solving skills — quick at identifying the root cause of issues. Must Have Excellent written and verbal communication skills in English — able to explain technical concepts clearly to non-technical stakeholders. Strong ability to triage, prioritize, and resolve issues independently under tight deadlines. Curiosity and adaptability: you can learn customer workflows quickly and propose solutions. Self-starter mindset — comfortable working independently, with a bias toward action. Passion for delivering outstanding customer experiences. Why join us? Join a world-class team of engineers and builders. Backed by top investors including a16z, Y Combinator, Base10, Prysm Capital and Eurazeo. Have ownership and autonomy of projects and are encouraged to ship. Comprehensive Benefits including healthcare, dental, vision coverage. Competitive salary + equity in a high-growth startup. Our Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it's not "your job." If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don't wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for "just fine." We sweat the details because details compound. Whether it's a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody's watching. We are "majos" Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. "Majo" is our way of saying: be a good human. Be approachable, helpful, and warm. We're building something ambitious, and it's easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We're running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; 'exceptional performance is the passing grade.' Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that's how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don't copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It's how we build what others think is impossible. The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller. By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer. In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data. If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through ----- subject to the GDPR. For more information, visit https://www.happyrobot.ai/privacy-policy By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described. Find Jobs in United Kingdom on Arbeitnow