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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 In 18 months, you own backend services that customers use every day, and you are ready for the next level rather than waiting for it. This is a hands-on backend role in one of our product teams for someone early in their career who is already shipping code professionally and wants to get senior fast. It is not a role for someone who wants to sit at this level for years. What you will be doing Building, testing and shipping backend services that power products our customers use every day Writing clear, well-tested code that you and your teammates will be happy to maintain Reviewing other engineers' code and learning from theirs Pairing with senior engineers on the harder problems and levelling up along the way Taking ownership of what you do not yet know, asking good questions and seeking feedback Using AI tools as part of your daily workflow (and helping the team get better at using them!) What you will need to be successful Professional coding experience - You have been actively developing software in a professional setting. We do not mind which language: our stack is mostly Python and you will pick it up quickly Solid fundamentals - Data structures, basic algorithms, object-oriented programming, testing and version control Growth mindset - You treat gaps in your knowledge as opportunities, not weaknesses and go and find what you do not know, rather than waiting to be told Hunger to progress - You want to be a Senior Engineer, you want to get there as fast as you reasonably can and you are up for putting in the work Good communication - You can explain what you are working on, ask for help when you are stuck, and give useful feedback in code reviews You work AI-first - You will use AI daily here, and we mean daily. You do not need to arrive an expert, but you do need to arrive curious, experiment fast, and take ownership of getting good quickly. People who wait to be trained will find this uncomfortable 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

About Parloa Parloa's mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com , HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. About the role: Join us in reimagining customer experience with Agentic AI. As a Staff , you will play a critical role in shaping Parloa's engineering strategy and architecture while staying close to the code. This role is about building resilient, enterprise-grade systems that can scale globally and helping us set the benchmark for engineering excellence in Europe and beyond. Areas of ownership: Deliver business value by writing code every day. Define and drive technical strategy across multiple teams and org-wide initiatives. Lead team architecture and ensure solutions scale globally for enterprise adoption. Balance short-term velocity with long-term resilience , making smart trade-offs on complexity, cost, and scalability. Remain hands-on - whether writing foundational code, leading design reviews, or refactoring key systems. Serve as a trusted advisor to leadership, ensuring engineering capacity matches market and customer demands. Set cultural standards for fearless iteration , bias for action , and pragmatic perfectionism —design for tomorrow, build for today. OUR TECH STACK: TypeScript, Node.js, React, Python, FastAPI, Kubernetes, MongoDB, Azure, Kafka, NATS Who you are: A seasoned technical leader (typically 10–12+ years) with a track record of org-level or industry-level impact . Deeply experienced in enterprise-scale systems and multi-team architecture leadership . Equally comfortable flying high (strategic vision) and diving deep (technical details). Thrives in ambiguous, high-stakes environments with a strong sense of urgency. Embodies Parloa's ambition : to build Europe's leading engineering culture and a world-class AI platform . Motivated by making the impossible possible and building something iconic. Our engineering values: At Parloa, we hire, promote, and evaluate based on cultural and technical excellence. You'll thrive here if you: Earn Trust – act with transparency and reliability. Obsess Over Customers – always start with the customer problem. Think Big – set bold goals and pursue them fearlessly. Have Integrity – do the right thing, especially when it's hard. Disagree & Commit – debate with candor, align fast, and deliver. Own It – take full responsibility for outcomes, not just tasks. Dive Deep – master the details without losing sight of the big picture. Bias for Action – move fast, decide quickly, iterate fearlessly. Deliver Value – measure success by customer and business impact. Insist on the Highest Standards – raise the bar continuously. Go the Extra Mile – make the impossible possible. Hire & Elevate the Best – raise the bar with every hire. Our recruiting process: Recruiter Call → Technical Peer Interview → 360° Tech Interview Loop → Bar Raiser Why Parloa? We're at the beginning of a new era in customer experience, one where AI doesn't just respond, but understands, reasons, and takes action. We're building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren't just support tickets; they're defining experiences. We're here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it. At Parloa, ownership isn't a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that's evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them. We've grown beyond the earliest startup phase, but we've kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we're scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more . * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics. Find Jobs in Germany on Arbeitnow

Location: UK Based, Remote-first (with monthly travel to London) At Unmind, we're here to create better mental health. We believe mental health should be a source of strength, not struggle – for people, teams, and entire organisations. We combine science, technology, and human care to help companies like Uber, Disney, Major League Baseball, and the NHS improve mental health and drive performance. Now we're looking for more brilliant people to help us do it. 🚀 Our Values We're building a company where ambition and empathy go hand in hand. Outpace the rest – Move fast. Deliver excellence. Stronger together – We go further, faster, together. Client first – We win, when our clients win. 🌈 Inclusion & Belonging We're building a place where everyone feels seen, heard, and supported – and where difference is celebrated. If you need adjustments during the process, tell us when you apply or email Learn more about how we hire and our commitment to equity in our Candidate FAQ → 🎯 The Role — Software Engineer (Full Stack) We're looking for a Software Engineer to join our team! You'll ship features that directly help the employees of our enterprise clients find the right support at the right time. We're using Claude Code throughout the SDLC, exploring how we evolve our development practices to leverage AI where it meaningfully helps. This is a great opportunity for someone who wants to deepen AI-assisted development skills in a team that's investing in them. What you'll do You'll ship features end-to-end. Break initiatives into deliverable slices, design solutions, write the code, and see them through testing, deployment and monitoring in production. You'll own the design for what you deliver. Choose pragmatic approaches that fit our existing architecture, write RFCs where appropriate, and make sensible trade-offs without needing extensive guidance. You'll keep things reliable. Respond to incidents and bugs in your team's domain, improve observability where it's lacking, and uphold the security and performance commitments we make to clients. You'll improve what you touch. Tackle tech debt, refactor and upgrade dependencies where it unblocks delivery or reduces risk. You'll embed AI into how you deliver. Use Claude Code throughout your workflow - scoping, designing, coding, reviewing, documenting - and contribute to our collective learning by sharing what's working back to the team. 🌟 About You In the spirit of equity and continuous growth, we invite you to remove education from your CV. Qualifications are not a factor in our decision-making. However, some experience in the following is important for this position: You're ready to get a lot done. You're a backend leaning Engineer, but comfortable moving across the full stack which includes TypeScript, React, GraphQL, Node.js, Python, Golang and SQL. You don't need hands-on experience with every tool; we're more interested in strong software engineering fundamentals and curiosity to learn. You enjoy problem solving from first principles, pick up new context fast, and ship impactful changes to customers regularly. You know what good looks like. You understand what it takes to build reliable products for clients. You build with performance, security and observability at the forefront rather than as follow-ups, and your code is simple, well-tested and easy for others to change. You're comfortable with ambiguity. You're happy tackling problems without a clear definition or obvious solution, and find the leanest viable path forward. You make deliberate trade-offs. You understand the impact of trade-off decisions made today. You choose lean over perfect when it's the right call, and you're explicit about what's being deferred and why. You're comfortable with AI-assisted development practices. You use Claude Code (or similar tools) as a core part of how you develop features - applying curiosity and judgement to know where it accelerates and where it doesn't. Tip for candidates: If you're unsure whether to apply – do. We know great people don't always tick every box. 💚 Life at Unmind We believe wellbeing and performance go hand-in-hand – and we build our environment to support both. A few highlights: ✅ Private medical for you & your family ✅ Equity in Unmind ✅ Generous gender-neutral parental leave ✅ 25 days holiday + birthday + celebration days ✅ Revive & Thrive Days – company-wide Friday off monthly ✅ Flexible working + early Friday summers ✅ Remote-first within the UK, with monthly in-person meet-ups and access to a London co-working space ✅ Annual learning budget + learning leave ✅ Free weekly therapy or coaching sessions ✅ Wellbeing support via WellHub & Bippit See all benefits on our Careers Page → Compensation: £70K – £87.5K • Offers Equity • £70K – £87.5K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

Build the technology behind the teams transforming construction 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, we're not only evolving the technology our customers use, we're also investing in the tools and applications that enable our own teams to operate effectively as we grow. We're looking for a Full Stack Engineer to take ownership of the internal applications, dashboards and AI-enabled tools that help power XYZ Reality behind the scenes. The Role This is a great opportunity for a Full Stack Engineer who enjoys building useful products, solving real business problems and owning what they create from idea through to production. As XYZ has grown, teams across the business have increasingly developed applications, dashboards, automations and AI-enabled tools to solve problems and improve how they work. We now need an engineer who can bring technical ownership to this space – taking promising ideas and prototypes and turning them into secure, scalable and maintainable applications. You'll work directly with teams across XYZ to understand what they need, translate those requirements into technical solutions and build applications that people across the business will genuinely use. Because these tools can interact with employee, user and potentially customer data, you'll also ensure they are built and deployed properly, with security, maintainability and appropriate engineering standards considered from the outset. This is a role with plenty of autonomy. You'll own applications end-to-end, from architecture and data model through to UI, deployment, monitoring and ongoing iteration. And when internal priorities allow, you'll have the opportunity to contribute your Full Stack skills to our wider product engineering team and the technology behind XYZ Reality's engineering-grade AR platform. The role is based in London on a hybrid basis, ideally 2–3 days per week in the office, enabling you to work directly with the teams you'll be building for while retaining flexibility. What You'll Be Doing Design, build and maintain internal business applications end-to-end, from data model and architecture through to user interface. Take ownership of existing prototypes, dashboards and tools and evolve them into secure, reliable and maintainable applications. Ship quickly using modern serverless and Backend-as-a-Service platforms such as Vercel, Supabase and Firebase. Build applications using TypeScript/JavaScript, React/Next.js and Node.js. Integrate AI capabilities, including LLM APIs, automation and agents, to improve and streamline business workflows. Work directly with stakeholders across XYZ to understand problems, gather requirements and translate business needs into practical technical solutions. Own the full application lifecycle, including architecture, development, deployment, monitoring, maintenance and iteration. Ensure appropriate security and data protection standards are built into applications handling employee, user or customer information. Implement authentication, SSO and identity management where required. Champion good engineering practices across code quality, testing, security and CI/CD. Build integrations between internal systems, data sources and third-party platforms. Use feedback and usage data to continually improve the applications you build. Evaluate emerging technologies and AI capabilities and identify where they can genuinely improve how XYZ operates. Contribute to our wider product engineering environment when capacity allows. What We're Looking For Demonstrable in-depth professional software engineering experience, ideally within a Full Stack role. Strong proficiency in TypeScript/JavaScript and modern web development. Hands-on experience with React/Next.js and Node.js. Experience building and deploying applications using platforms such as Vercel, Supabase, Firebase or equivalent modern technologies. Experience owning applications beyond the initial build – including deployment, maintenance, monitoring and ongoing improvement. Comfortable integrating AI/LLM services into applications and using modern AI tooling as part of your development workflow. Experience implementing authentication and identity management, such as OAuth/OIDC, SAML or SSO. A good understanding of application security and how to appropriately handle sensitive business and user data. Strong software engineering fundamentals, with an appreciation for maintainable code, testing and good development practices. Comfortable working directly with non-technical stakeholders and turning their requirements into effective technical solutions. Able to work autonomously, prioritise effectively and take ownership of the applications you build. Experience within a startup, scale-up or modern technology environment would be particularly valuable, as would experience with Postgres/SQL, row-level security, data visualisation, reporting or workflow automation. We're looking for a strong Full Stack Engineer with solid fundamentals who is comfortable learning new tools and making pragmatic technology choices based on the problem being solved. Above all, we're looking for someone who enjoys building things that make a difference, an engineer who can take an idea or prototype, understand the problem behind it and turn it into technology the business can rely on. What You Could Be Working On From the outset, you could be working across projects including: Internal business applications and operational tools AI-enabled workflows and automation Business dashboards and reporting Employee and talent applications Data-driven internal tools Integrations between business platforms Secure applications handling employee, user and customer data Prototypes that need to evolve into scalable, production-ready applications As our internal technology needs continue to evolve, so will the problems you have the opportunity to solve. Why Join Us 🚀 Join a Series B business at an exciting stage of international growth 🏠 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 a Full Stack Engineer who enjoys taking ownership, shipping useful technology and using modern tools to solve real-world problems, we'd love to hear from you. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Cambridge, UK | Full-time | Fixed-term, 10–12 weeks | Hybrid Salary: £30,000–£35,000 per annum, depending on experience, paid pro rata for the internship duration. About us Riverlane's mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science, to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry's defining technical challenge, such breakthroughs can never be achieved. Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent and passion. Having raised more than $125M in funding to date to accelerate our cutting-edge R&D in quantum error correction (QEC), Riverlane partners with many of the world's leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We're making remarkable progress and growing fast. About the role Our full-time summer internships give current students in technical fields the opportunity to apply their skills and expertise in an industrial setting. You will join us at our head office in Cambridge, UK, for 10 to 12 weeks, working alongside talented software and hardware engineers, mathematicians, quantum information theorists and physicists who are experts in their fields. You will have a dedicated supervisor and work on a project designed to make the best use of your existing skills while developing your knowledge of quantum computing and quantum error correction. We will support you in producing a meaningful piece of work that you can be proud of by the end of your internship. Previous interns have committed code to industry-standard open-source compilers, co-authored research papers and led the design of new software tools. What you will do Design, develop and test software that contributes to Riverlane's quantum error correction technology. Work closely with colleagues across software engineering, research and other technical disciplines Explore ideas, evaluate different approaches and contribute to technical problem-solving Communicate your work clearly through discussions, presentations and written reports Develop your understanding of quantum computers, quantum error correction and their potential applications What we need You must be a current student at the time of application, studying towards a Bachelor's degree (second year or later), Master's degree or PhD. You must be studying Computer Science, Software Engineering, Physics, Chemistry, Mathematics, Electronic Engineering or another related technical subject. Experience using at least one general-purpose programming language, demonstrated through coursework, personal projects or research. An understanding of core programming concepts, including data structures and algorithms. Strong analytical and problem-solving skills. Clear written and verbal communication skills. The ability to take initiative and work effectively as part of a team. An interest in applying your software skills to quantum computing; prior quantum computing knowledge or experience is not required. Availability to work full-time for 10–12 weeks. Even better if… You have experience with C++ or Python, the main languages you will use during the internship. You have experience writing tests, debugging code or using version control tools such as Git. You have developed software as part of a collaborative project. Important notes You must already have the right to work in the UK for the full duration of the internship. If you hold a UK student visa, please check that its conditions allow you to undertake this full-time internship. PhD students may need to temporarily step away from their PhD to complete the internship. This may affect their right-to-work status, and applicants should check their individual circumstances You must be available to work full-time for 10 to 12 weeks during the summer vacation period You will be required to sign an agreement assigning ownership of any intellectual property produced during your internship to Riverlane Internships are based at our head office in Cambridge, UK How to apply Please upload a CV and covering letter through our careers page. Your CV should include the grades you have received so far in your degree(s). Your covering letter should explain why you are applying for the software engineering internship and what skills and experience you would bring. Deadline Please submit your application by Friday 6 November 2026 . Interviews will be held in Cambridge, or virtually if required. What can you expect from us Alongside a competitive salary, we offer private medical insurance, a health cash plan and life assurance, as well many other benefits. You can also expect a diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 25 different nationalities. If you have any queries, please contact com . Please do not send your applications to this email address, all applications should be submitted via our careers page. Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every single qualification. We'd love to hear from you. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help. GDPR notice: Riverlane collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details. Find more English Speaking Jobs in United Kingdom 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 Our Data & Analytics team will provide critical cross-functional support across all STARK defence programs. We build robust infrastructure, tools, and data pipelines that ingest and process massive streams of telemetry, sensor, and video data from our autonomous systems. Working in a collaborative and fast-paced engineering environment, our mission is to empower software, hardware, and operational teams with clean, reliable, and real-time data. Your mission As a Data / Software Engineer, you will own the end-to-end data pipelines and tooling supporting STARK's autonomous defence systems. You will design, build, and optimize scalable data architectures to capture, process, and analyze complex telemetry, sensor, and video data across multiple product lines. By automating data flows and creating high-performance internal tools, you will enable rapid decision-making, testing, and continuous deployment across all engineering teams. Responsibilities Design, build, and maintain scalable, reliable data pipelines for real-time ingestion and processing of telemetry, sensor, and video data. Develop robust automation frameworks and internal tooling to stream data workflows across cross-functional STARK programs. Architect cloud infrastructure and data storage solutions leveraging AWS, Azure, or GCP to ensure high availability and low latency. Collaborate with hardware, embedded, and software engineering teams to define data models, interface specs, and telemetry schemas. Optimize data processing pipelines for high throughput, memory efficiency, and sub-second execution in mission-critical environments. Implement comprehensive data quality, monitoring, and alerting systems to proactively detect anomalies and operational issues. Maintain rigorous software engineering standards, including unit testing, CI/CD practices, and clear technical documentation. Qualifications Minimum 3 + years of experience in similar relevant roles Strong proficiency in modern programming languages such as Python, Rust, or Go. Demonstrated hands-on experience building scalable data pipelines and data processing systems. Knowledge of relational and non-relational database systems, as well as object storage. Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and cloud-native architectures. Proven track record of working with high-volume telemetry, sensor data streams, or video data processing. Experience creating developer tooling, CLI utilities, and automated CI/CD workflows. Strong problem-solving mindset and solid foundation in software engineering and distributed systems. Nice to have Knowledge of machine learning and data science related concepts and applications. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Familiarity with defense, aerospace, or robotics domain applications. 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! Find more English Speaking Jobs in Germany on Arbeitnow

Your Mission: Join the Pinnacle of Satellite Technology Advancement in Germany! Reflex Aerospace is at the forefront of propelling high-performance satellite technology to new heights within the German aerospace landscape. As part of Reflex Aerospace, you will play a pivotal role in shaping the trajectory of the space industry's future. This is an opportunity to contribute your expertise and enthusiasm to a team that stands for innovation and excellence. As Software Engineer - Systems Modeling you will join the Architecture and Processes (A&P) team to develop the system infrastructure that enables the rapid development of satellite missions. You will work closely with all engineering teams to develop tools, digital models, and processes to enable our mission teams. Your Background: You hold a university degree in Computer Science, Aerospace Engineering or a related field, or bring equivalent work experience. You have experience with MBSE, SysMLv2, and code-based systems modeling. You have strong Python skills and are experienced in architecture, testing, automation, databases, and API interfacing. You are proficient with Git, GitLab, and CI pipelines - you should be comfortable managing branches, handling merge requests, and troubleshooting CI issues independently. You are structured and process-oriented with a keen sense of simplicity and automation. You are a collaborative team player and communicate effortlessly with different stakeholders. Ideally, you already bring an understanding of satellite missions, system architectures, satellite subsystems and the satellite development lifecycle. Ideally, you have experience with UI design for data visualization, databases (PostgreSQL, InfluxDB), and Grafana. What We Offer: Collaborate with a diverse multinational team crafting the next wave of cutting-edge satellites. Embark on this exciting journey with us from the outset, leaving your indelible mark on a dynamic company and playing a direct role in shaping the future of the space industry. Keep your energy levels high with company-sponsored memberships for Urban Sports Club as well a discount in the public transport. Access to Corporate Benefits - a website with many discounts for various brands. An annual training budget of 1.500€. We exclusively offer permanent employment contracts, reflecting our commitment to building long-term relationships and supporting sustainable career growth within our organization. A 20% contribution to your private pension plan. We provide a hybrid work model along with flexible working hours, empowering you as the owner of your time management. Enjoy 30 days of paid vacation and a special company holiday on April 12th, celebrating the International Day of Human Space Flight and the spirit of exploration. Join Reflex Aerospace and be a driving force in shaping the next era of space exploration! We look forward to your application. Find Jobs in Germany on Arbeitnow

About us Distribusion is the world's leading ground transportation marketplace and gives travellers seamless access to ground transportation online, from search to ticket purchase. We have built a cutting-edge B2B technology platform that connects bus, rail, and ferry operators in 70+ countries with the biggest online retailers, including Google Maps and Booking.com . We are shaping the future of travel and building the largest global network of transport providers and retailers. Having grown 10x in the past year, we are one of the fastest-growing startups in travel. Backed by four leading VCs (TQ Ventures, Creandum, Northzone, and Lightrock), and now, following our recent $80 m Series C, we are ready to push beyond. The opportunity We're looking for an experienced Senior Product Engineer to own and evolve our core systems end-to-end. You'll join our engineering team and work closely with product, operations, and data stakeholders across the business. Your work will power high-scale systems used by both internal operators and external users, directly impacting large volumes of real-world activity. What you will do: Build a customer-facing transit schedule system that handles hundreds of thousands of bus departures daily. The system serves hundreds of thousands of travellers and is used by hundreds of operators, including operations teams, revenue managers, and planners. Build a ticket booking backend that allocates bus seats to travellers. Design smart allocation strategies to maximise seat usage across stops, and handle complex reallocation scenarios such as vehicle swaps, bus merges, and reinforcements. Build a revenue management system that dynamically prices seats based on time to departure, demand, and remaining capacity. Support carrier-controlled pricing, A/B testing, and automated pricing algorithms. Own and evolve the data transformation layer that powers schedules, bookings, and revenue. Design robust models, incremental pipelines, and clear semantic definitions grounded in real operational data. Raise data quality through strong testing, contracts, freshness checks, and monitoring so issues are detected automatically, not by stakeholders. Improve development workflows: CI, PR reviews, local testing, and release processes that keep iteration fast and friction low. Partner with stakeholders across operations, planning, and revenue. Turn ambiguous problems into clear requirements, challenge assumptions, and align solutions with real-world constraints. Drive improvements in tooling and practices, including AI-assisted development, better testing approaches, and scalable self-service capabilities. Workplace: Berlin & Hybrid: HQ office in Berlin, where the team often meets. Remote: We are a remote-first company with teams located around the Globe. Who you are: Several years of experience building and operating backend services in Python, with ownership across the full lifecycle: design, implementation, deployment, monitoring, and maintenance. Demonstrated an ownership mindset with the ability to independently drive projects, manage competing priorities, and contribute effectively across multiple systems and initiatives. Strong understanding of distributed systems and data-intensive applications. Experience designing systems that handle large volumes of data and traffic, with practical knowledge of consistency models, state machines, asynchronous workflows, and event-driven architectures. Deep database expertise: transaction management, ACID guarantees, indexing strategies, query optimisation, locking, partitioning, and sharding. You understand how database design impacts system performance and reliability at scale. Experience building reliable distributed systems using patterns such as outbox, idempotency, retries, and eventual consistency. Comfortable reasoning about failure modes and system behaviour under load. Strong software engineering fundamentals: API design, testing strategies, observability, debugging, performance optimisation, and maintaining production systems. Able to translate ambiguous business requirements into pragmatic technical solutions, while clearly communicating architectural trade-offs, constraints, and implementation options to both technical and non-technical stakeholders. Comfortable with challenging requirements, proposing alternative approaches, and identifying opportunities to reduce complexity while maximising business impact. Product-minded engineer who contributes beyond implementation. You actively shape technical direction, influence product decisions, and help define the future evolution of the platform. Fluent in English, both verbal and written. Comfortable collaborating in a distributed team across multiple time zones, with a preference for clear written communication and asynchronous workflows. Experience with cloud infrastructure, messaging systems, distributed databases, and high-availability architectures is highly desirable. What you can expect: Make a global impact. Help shape how millions of people discover and book ground transportation worldwide. Own your work. Take responsibility from day one and see the direct impact of your contributions. Build with the best tools. We move fast, continuously evolve our tech stack, and invest in modern, efficient solutions. Work with industry leaders. Our partners include Booking.com , Google Maps, Amtrak, Deutsche Bahn, Renfe, and SNCF. Grow with exceptional people. Join an international team that will challenge, support, and inspire you every day. Work your way. Enjoy flexible and remote-friendly working options, relocation opportunities, and plenty of room to grow. Our hiring team for this role: You can contact your Talent Partner and point of contact, Aulia , at ( Do you want to work on a product that is used by millions of people daily with a high load, availability, scalability and the most advanced technology? Come join us! Find Jobs in Germany on Arbeitnow

About us Distribusion is the world's leading ground transportation marketplace and gives travelers seamless access to ground transportation online, from search to ticket purchase. We have built a cutting-edge B2B technology platform that connects bus, rail, and ferry operators in 70+ countries with the biggest online retailers, including Google Maps and Booking.com . We are shaping the future of travel and building the largest global network of transport providers and retailers. Having grown 10x in the past year, we are one of the fastest-growing startups in travel. Backed by four leading VCs (TQ Ventures, Creandum, Northzone, and Lightrock), and now, following our recent $80 m Series C, we are ready to push beyond. The opportunity We are looking for a Senior QA Engineer that will take an active role in shaping our QA strategy. You will also be responsible for the improvement of delivered features to production, reducing the number of user complaints and ensuring that the product delivered has top-notch quality. One of the main goals of the team is preventing bugs that have the potential to impact the production environment and affect sales / crucial functionality times. What you will do: Improvement of delivered features to production, reducing the number of user complaints and ensuring that the product delivered has top-notch quality Development of an automated test framework from scratch Integration tests, end-to-end tests, functional tests, regression tests Preventing bugs that have the potential to impact the production environment, affect sales and crucial functionality Microservices and API use cases (Postman, SOAP, REST) Creation of test case scenarios for manual and automated tests Development and execution of manual test case scenarios Independent investigation and proposal of new methods for improving quality assurance processes Reporting and documentation of all discovered errors/bugs Close collaboration with cross-functional teams to deliver tasks on time and to the expected quality. Workplace: Berlin & Hybrid We are aiming to hire a professional based in Germany or Europe. We are a remote-first company with colleagues based around the Globe. Who you are: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. At least 5 years of experience in software quality assurance and test automation, including developing automated test scripts using JavaScript/TypeScript, Python, or Ruby. Experience with test automation frameworks such as Cypress, Selenium, or similar tools (experience with JEST is a plus). Strong understanding of software development lifecycles, QA methodologies, testing processes, and test design principles. Experience designing test strategies and test plans across multiple teams or products, with the ability to establish scalable QA processes. Proven experience integrating automated testing into CI/CD pipelines. Strong experience testing APIs and integrations using tools such as Postman, REST APIs, SOAP, and Swagger/OpenAPI. Experience testing functional, integration, and end-to-end scenarios across web applications. Experience with mobile testing (e.g. Appium) is a plus. Understanding of data representation technologies such as JSON and XML. Good knowledge of test design and testing theory. Experience working with relational databases, preferably PostgreSQL, and confidence in validating data at the database level. Ability to analyse application logs and service metrics and troubleshoot issues across distributed systems. Familiarity with cloud platforms, preferably Google Cloud Platform (GCP), is an advantage. Experience working in Agile environments and with tools such as Jira. Strong communication and collaboration skills, with the ability to work effectively across engineering teams and stakeholders while managing priorities independently. Excellent verbal and written communication skills in English. What you can expect: Make a global impact. Help shape how millions of people discover and book ground transportation worldwide. Own your work. Take responsibility from day one and see the direct impact of your contributions. Build with the best AI assistance models available. Work with industry leaders. Our partners include Booking.com , Google Maps, Amtrak, Deutsche Bahn, Renfe, and SNCF. Grow with exceptional people. Join an international team that will challenge, support, and inspire you every day. Our hiring team for this role: Your Talent Partner and point of contact is Lorena Rebenciuc , and the Hiring Manager (HM) is Artem Torlak. For any queries, please reach out to your Talent Partner at ( ). Do you want to work on a product that is used by millions of people daily with a high load, availability, scalability and the most advanced technology? Come join us! Find Jobs in Germany on Arbeitnow

Our Mission Aleph Alpha is one of the few companies in Europe doing serious foundation model pre-training. Our customers — in finance, manufacturing, and public administration — need models that understand German, meet European regulatory requirements, and work reliably in high-stakes settings. We're building that in Heidelberg. We are hiring a Senior AI Researcher to join our Pre-training team and to advance the architecture and training of our next generation of foundation models. If you are excited about designing inference-efficient architectures, optimising training recipes that scale reliably, and training models on a large scale cluster (thousands of NVIDIA Blackwell GPUs), we would love to hear from you. Team Culture We foster a culture built on ownership, autonomy, and empowerment. Teams and individual contributors are trusted to take responsibility for their work and drive meaningful impact. We maintain a flat organisational structure with efficient, supportive management that enables quick decision-making, open communication, and a strong sense of shared purpose. We collaborate closely on complex technical problems, working in pairs or using mob programming to resolve challenging issues. About the Role As a Senior AI Researcher in Pre-training (f/m/d) , you will own the critical technical levers that determine the success of our next-generation models: architecture, optimization, stability, and scaling. Working at the high-leverage intersection of research and engineering, you will translate mathematical reasoning and empirical observations into principled training decisions - from small-scale proxy experiments to multi-thousand-GPU runs. We are looking for an expert who can combine rigorous experimental design with high-quality production code, directly influencing model quality, run reliability, and the efficiency of the models we ship. Your Responsibilities Recipe & Architecture Optimization: Own core elements of the training recipe (optimizers, schedules, initialization) and design PyTorch-based architectural improvements to maximize convergence, stability, and training efficiency. Scaling Strategy & Predictability: Develop hyperparameter scaling laws and scale-up methodologies, using small-scale proxy experiments to reliably predict multi-thousand-GPU behavior and de-risk major training decisions. Stability, Diagnostics & Debugging: Investigate complex convergence issues (loss spikes, divergence) and resolve hard-to-reproduce distributed system failures like communication bottlenecks, race conditions, and synchronization errors. System-Model Co-Design: Partner with Compute Performance, Data, Evaluation, and Post-Training teams to align the model lifecycle with hardware constraints, memory bandwidth, and communication topologies. Core Qualifications You are proficient in Python and deeply familiar with PyTorch-based training workflows. You have a strong track record in machine learning research and software engineering, demonstrated through shipped models, impactful open-source contributions, or published research. You have a strong mathematical foundation and are comfortable reasoning formally about optimisation, scaling behaviour, and training dynamics. You deeply understand transformer training dynamics, optimisation, and the behaviour of large distributed training jobs. You can design rigorous experiments, reason clearly from noisy results, and translate empirical observations into robust training decisions. Hands-on experience pre-training large models (e.g., 7B+ parameters) on substantial infrastructure (e.g., 100+ GPU clusters). You apply strong software engineering practices, including writing maintainable, well-tested code and supporting reproducible experimentation workflows. You are able to implement complex model architectures efficiently and reliably and to debug complex issues across model code, training dynamics, and distributed systems. You collaborate effectively within a research and engineering team and communicate clearly about your work across Pre-training and the broader AAR/AA organization. You are able to work in Germany and collaborate regularly on site in Heidelberg as part of the Pre-training team. Preferred Qualifications Large-Scale Training: Hands-on experience training LLMs or multimodal models on large GPU clusters using distributed frameworks (e.g., Megatron-LM, DeepSpeed, torchtitan). Predictive Scaling: Familiarity with scaling laws, hyperparameter transfer, or methods for predicting large-scale training behavior from smaller proxy runs. Stability & Performance: Experience profiling distributed jobs and diagnosing training anomalies like loss spikes, numerical instability, or optimizer pathologies. Advanced Architectures: Exposure to sparse training approaches (e.g., Mixture-of-Experts) and an understanding of their routing and systems trade-offs. Track Record of Impact: Demonstrated research excellence through top-tier publications (NeurIPS, ICML, ICLR), impactful open-source contributions, or significant shipped technical work. Systems Curiosity: Low-level kernel optimization is not required, but we highly value a strong curiosity about the hardware and systems constraints that shape scale. What we offer Become part of an AI revolution! 30 days of paid vacation Access to a variety of fitness & wellness offerings via Wellhub Mental health support through nilo.health Substantially subsidized company pension plan for your future security Subsidized Germany-wide transportation ticket Budget for additional technical equipment Flexible working hours for better work-life balance and hybrid working model JobRad® Bike Lease Find more English Speaking Jobs in Germany on Arbeitnow

Our Mission Aleph Alpha is one of the few companies in Europe doing serious foundation model pre- and post-training. We're building models that have general-purpose capabilities, and specifically excel at addressing the needs of our customers. We're looking for exceptional Software Engineers to join our model training team. Most of the team is based in Heidelberg . Team Culture At Aleph Alpha, we foster a culture built on ownership, autonomy, and empowerment. Teams and individual contributors are trusted to take responsibility for their work and drive meaningful impact. We maintain a flat organizational structure with efficient, supportive management that enables quick decision-making, open communication, and a strong sense of shared purpose. We believe a strong engineering culture is the key to model training success. We like Extreme Programming and favor trunk-based development. We often mob-program, which keeps us aligned and means we always learn from each other. About the Role As a Senior AI R&D Engineer in Model Training (f/m/d), you will join our model training team in Heidelberg or Berlin. Most of the team is based in Heidelberg. The model training team is training models, but more importantly in order to do so building and improving our model training pipeline. You will work across our full stack. Some weeks you might be optimizing how training loads are scheduled on our cluster and making the pipeline more robust and performant so we can iterate faster. Other weeks, you will be enabling large-scale code execution for reinforcement learning. And at other times, you might dig deep into our evaluation codebase to lift inference throughput on evals. No two days are the same. Things move fast, and your ability to focus and prioritize is what lets you unblock the team day-to-day while designing the high-quality tooling and infrastructure that speeds us up long-term. We're still building out our training pipeline and infrastructure. Some pieces exist, some do not, and you will have real influence on what gets built and how. Your work directly shapes how quickly we can experiment and improve our models. Identifying issues and taking initiative is what drives our day-to-day work. Working mode, design decisions, priorities are all done in your team together with your team mates. The strongest teams often use highly collaborative techniques, like mob or pair programming. Due to the highly collaborative nature of our work you are expected to be on-site at least two days a week. If you are in Berlin, you should expect to travel around every second month for a few days to Heidelberg. We are specifically looking to strengthen the Software Engineering in the teams which are research heavy. Major points include improving the maintainability of our code through tests and design & architecture changes. Requirements At its core, you need to be able to dive into a codebase, change the behavior as necessary, and after the change the code should be better tested and easier to understand than before. As such we look for candidates for an understanding of how to design for low coupling and high cohesion paired with the ability to incrementally refactor. Experience with the following technologies is likely to be helpful: Test Driven Development (TDD) Trunk based development Continuous integration Domain Driven Design Nice-to-haves Most of our code is in Python, there is also the occasional Rust codebase. Large parts of our training pipeline are built on top of Kubernetes. We do not hire for skills in a particular technology or language, but rather ability to learn and mindset, yet experience with these technologies is a plus. What we offer Become part of an AI revolution! 30 days of paid vacation Access to a variety of fitness & wellness offerings via Wellhub Mental health support through nilo.health Substantially subsidized company pension plan for your future security Subsidized Germany-wide transportation ticket Budget for additional technical equipment Flexible working hours for better work-life balance and hybrid working model JobRad® Bike Lease Find more English Speaking Jobs in Germany on Arbeitnow

Who We Are Hi, we're DuckDuckGo, the online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on on Mac , Windows , iOS , and Android , our search engine , and the DuckDuckGo subscription . We also offer private, useful, and optional AI, including Duck.ai , which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our culture of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! Your Team and Role Working on the Data Science Functional Team, you'll drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation across our search engine, instant answers, AI, and revenue optimization, and work on related projects. Recent projects include: Defining core growth metrics for our products and building the infrastructure to monitor trends and anomalies Measuring the impact of major marketing campaigns for Duck.ai , translating full-funnel data into actionable decisions Building monitoring pipelines to detect unexpected shifts in search traffic patterns faster and more reliably Expanding evaluation datasets for page context understanding across complex scenarios like multi-tab browsing and content reattachment Improving the trigger systems that determine when AI-assisted answers surface in DuckDuckGo Search, balancing quality and our privacy-first approach Our data meets rigorous privacy standards and is necessarily sparse, so you'll need to think creatively to surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception. About You You have 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction. You can do 2 or more of the following: Deploy and iterate on ML in production environments Develop and deploy NLP solutions Apply knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development Conduct marketing campaign analysis using Bayesian methods You write production-grade code in Python or a comparable high-level language. You have advanced SQL and query optimization skills, familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid; experience with a BI tool like Tableau or PowerBI is a plus. You can design, implement, and analyze experiments across product surfaces, and are comfortable deriving insights from sparse or privacy-constrained data. You collaborate effectively with product teams and contribute to overall team throughput. Compensation $178,500 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation. Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK. Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. Hiring Process Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire . Diversity, Equity, and Inclusion DuckDuckGo provides equal work opportunities to all team members and applicants , and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to Please note that: You'll be required to attend meetings on camera via video conferencing Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. A successful candidate must pass a background check as a condition of joining the team. By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants' experience, interviews, and project performance, and help streamline our selection process. Key Principles: Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy . We ensure that your personal information is protected and used solely for recruitment purposes. Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at #LI-DNI Compensation: $178.5K • Offers Equity Annual Compensation • Annual Compensation $178.5K • Offers Equity Find Jobs in Switzerland on Arbeitnow