Find Your Dream Career

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, Mirakl's operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus). With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy's, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success 1. The Team You'll Join You'll be part of our Mirakl Labs Financial Services squad, based in Paris. The team is structured as a cross-functional Squad composed of a Senior Engineering Manager, a Product Manager, Software Engineers and a QA engineer. You'll be mentored by Wael Osmani, Software Engineer . You'll join a team that builds and ships the core product features powering some of the world's most ambitious marketplace platforms, with a particular focus on financial services capabilities. 2. Your Impact Contribute to the development and evolution of a production application, primarily on the frontend — from UI implementation to user experience improvements Support backend work by participating in API design and development, collaborating closely with the engineering team Work hand-in-hand with UX/UI designers to deliver features that are both technically solid and user-centric Take part in agile rituals — stand-ups, sprint reviews, and retrospectives — and contribute actively to the team's roadmap Monitor and take ownership of your contributions in production, following a you build it, you run it mindset 3. What You'll Bring to the Role Experience: Currently pursuing a Master's degree (M1 or M2) in software engineering, computer science, or a related field, and looking for a 6-month internship First hands-on development experience through an internship, academic project, apprenticeship, or personal project Solid understanding of frontend development and object-oriented programming principles Skills: Proficiency or strong interest in frontend frameworks such as React or Angular , and in JavaScript/TypeScript Familiarity with Java for backend and API development Curiosity for clean code, software quality, and working on production-grade applications A collaborative mindset, intellectual curiosity, and a genuine drive to learn 4. Tech Stack Back-end: Java 21, Spring Boot Front-end: ReactJS Data & Messaging: Kafka, ElasticSearch, PostgreSQL Tooling & Practices: CI/CD, Git, Docker, Monitoring 5. Languages French: Fluent English: Professional proficiency (written and spoken) Compensation, Perks & Benefits Pay Range: €1,200 – €1,400 per month Our Hiring Process We warmly encourage you to apply to any of our roles, even if you think you're not an exact match. Please click the "Apply" button to submit your application — this helps us make the best possible assessment and get back to you as quickly as possible. Manual screening of your CV by a recruiter , then an AI-powered screening conversation (10 min) with Emma , Mirakl's AI Talent Ambassador, to explore your background and motivation for the role. You will need to complete this step within 3 days, otherwise we won't be able to move forward with your application. Recruiter interview (30 min) — conversation about your background, motivations, and an introduction to Mirakl Hiring Manager interview (45 min) — technical discussion covering Java and web development fundamentals, including practical exercises STAR interview (1h) — exchange with one or two team members exploring Mirakl's values and culture We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations. As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews . Find more English Speaking Jobs in France on Arbeitnow

Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. The team Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load. Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards. This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter. The opportunity Design and build the infrastructure layer powering AI agent systems in production Develop high-performance Rust services that handle model inference, orchestration, and execution Architect scalable systems capable of supporting millions of users and high request throughput Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring Define guardrails, observability, and failure handling for agent-driven workflows Optimize latency, throughput, and cost across inference and orchestration layers Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems Contribute to foundational infrastructure decisions in a high-scale, high-impact environment What You Bring 5+ years of experience building and operating high-scale production systems Strong proficiency in Rust and systems-level programming Deep understanding of distributed systems, reliability engineering, and performance optimization Experience operating services serving millions of users or high-throughput workloads Familiarity with ML infrastructure, model serving, or MLOps in production environments Experience designing observability, monitoring, and failure recovery systems Strong collaboration skills working across infrastructure and applied engineering teams High ownership mindset in high-stakes production environment Nice to haves Experience building infrastructure for agent-based or LLM-powered systems Background in high-performance networking, async systems, or low-latency architectures Experience with container orchestration and cloud-native infrastructure Familiarity with evaluation frameworks and model performance monitoring at scale Experience working in fast-moving 0→1 or platform-building teams Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Our commitment Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice Find Jobs in United Kingdom on Arbeitnow

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Prior professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to <a ---------- Find more English Speaking Jobs in United Kingdom on Arbeitnow

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Extensive professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to <a ---------- Find more English Speaking Jobs in United Kingdom on Arbeitnow

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Extensive professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to <a ---------- Find more English Speaking Jobs in United Kingdom on Arbeitnow

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Extensive professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to <a ---------- Find Jobs in United Kingdom on Arbeitnow

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. What you'll do Build safety systems: Design, develop, and scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs' products. Respond to emerging threats: Partner closely with the Investigations team to identify emerging abuse patterns, understand evolving threats, and continuously improve existing safety systems, detection mechanisms, and guardrails to address new risks. Own production infrastructure: Build and maintain a growing ecosystem of internal safety services, taking ownership of their architecture, deployment, reliability, monitoring, and ongoing operation. Bring ML models into production: Partner closely with ML engineers to deploy and integrate fine-tuned and proprietary ML models into production safety systems, ensuring they operate reliably and efficiently at scale. Build end-to-end solutions: Develop backend services, APIs, internal tools, and user-facing interfaces that enable effective moderation, safety operations, and policy enforcement. Collaborate across teams: Work closely with Product, Legal, and Safety Policy teams to translate business, regulatory, and policy requirements into scalable engineering solutions. Product: Understand and navigate the tradeoffs between product growth, user experience, and platform safety. Legal: Translate legal and regulatory requirements into practical, scalable safety systems. Safety Policy: Collaborate on how safety policies are implemented technically, while helping inform policy decisions through an understanding of engineering capabilities and constraints. Shape our technical direction: Contribute to architectural decisions and help define how our safety infrastructure evolves as our products, users, and safety challenges grow. Requirements 5+ years of software engineering experience building and operating production systems. Strong backend engineering experience, including designing APIs, working with databases, and building scalable services. Proficiency in Python and experience with modern backend frameworks. Experience building and maintaining distributed systems and cloud-based applications. Comfortable owning systems end to end, from technical design and implementation through deployment, monitoring, and ongoing maintenance. Experience working across different parts of the stack, with the ability to build internal tools or frontend interfaces when needed. Strong problem-solving skills and an ability to navigate ambiguous requirements and make pragmatic engineering decisions. Ability to collaborate effectively with engineers and non-technical stakeholders across different functions. Bonus Experience building Trust & Safety, content moderation, fraud detection, or abuse prevention systems. Experience building guardrails or safety infrastructure for AI agents and LLM-based applications. Experience deploying and integrating ML models into production applications. Familiarity with Kubernetes, Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP). Experience with monitoring and observability tools such as Prometheus and Grafana. Experience with React or other modern frontend frameworks. Experience with real-time data processing, event-driven architectures, or technologies such as Kafka and Redis. Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Find Jobs in United Kingdom on Arbeitnow

🚀 Why Midnite? Midnite is a next-generation sports betting and gaming platform built for a new wave of players. We combine sharp product thinking, bold brand, and fast execution to create experiences that feel modern, intuitive, and built for how people actually play today. Over 400,000 players have already made the move, and we're only just getting started. We're a high-performance team operating at pace. High ownership. Constant iteration. No hiding behind processes. We move quickly, test relentlessly, and turn ambitious ideas into real impact. If you're driven, creative, and thrive in fast-moving environments where you can shape meaningful outcomes - keep reading. Not your grandad's bookie. 👀 The Role Title: Senior Backend Engineer Team: Engineering Location: UK, Remote Salary: £90,000 - £110,000 per annum We're looking for skilled Senior Backend Engineers to join our engineering team. We have multiple opportunities available across a range of different areas. In this role, you'll build and maintain the backend systems that power our product experience, develop APIs that support our mobile and web applications, and deliver robust, maintainable code, all within a fast-paced, daily deployment environment. Our backend is primarily built in Python and runs on AWS. We use technologies including Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform. Experience with this stack is a plus, but it's not essential, what matters most is strong backend fundamentals and a commitment to high engineering standards. You don't need prior gaming or casino experience. We're looking for someone with solid technical foundations and the curiosity to learn and grow within the domain. You will: Own the full backend lifecycle — Design, develop, test, monitor and maintain backend services for our systems. Build the APIs that power the experience — Create clean, efficient, and well-documented APIs for our web and mobile applications. Champion code quality — Write high-quality, maintainable code with a focus on reliability, scalability, and performance. Raise the engineering bar — Participate in code reviews and help uphold the quality and consistency of the codebase. Shape technical direction — Contribute to architectural decisions and broader technical strategy. Collaborate across teams and partners — Work closely with engineers, product teams, and external vendors to integrate third-party systems seamlessly. Ship with confidence and speed — Deliver features and improvements in a continuous deployment environment. Keep us ahead of the curve — Stay current with industry trends, best practices, and emerging technologies. The next Midniter: 5+ years of professional backend engineering experience building and operating production systems at scale. Strong proficiency in Python (or another backend language with willingness to learn Python) Strong experience designing, building, and operating event-driven architectures using messaging and streaming technologies such as Kafka. Proven track record of designing, delivering, and owning significant backend systems from conception through to production. Strong understanding of system design, distributed systems, scalability, reliability, performance, and observability. Experience working with PostgreSQL and caching technologies such as Redis. Comfortable building and operating cloud-native applications on AWS. Demonstrated ability to take ownership of problems end-to-end, driving solutions from discovery and design through implementation, deployment, and ongoing operation. Strong collaboration and communication skills, with experience working closely with product, design, and engineering stakeholders. A pragmatic approach to software engineering, balancing technical excellence with delivering value to customers. Find Jobs in United Kingdom on Arbeitnow

Orbital Industries is an AI Industrial company, with frontier AI embedded at every step in the production of critical physical products - from creating advanced materials to engineering and manufacturing. Every Orbital Industries product is developed using CurieOS, our AI operating system, uniting AI-automated hardware engineering with AI-designed material science to achieve breakthrough real-world performance. We also offer CurieOS to our customers and partners, extending the same platform and workflows that power Orbital Industries to their own teams and products. We have an ambitious mission and need excellent people in all our teams - AI research, operations, advanced materials, mechanical engineering, chemical engineering and manufacturing. Working at Orbital Industries means working in vertically integrated teams across the full stack, from molecules to manufacturing. We're looking for people who have a love of physical technology, curiosity in AI and a desire to learn. Role Overview Orbital's AI software platform, CurieOS, is used by scientists and engineers to design and build products serving critical industries. Powering this software are our world leading AI models in advanced materials, hardware engineering and simulation. As a Forward Deployed Engineer at Orbital you will deliver CurieOS into customer environments hands-on, writing production code, designing architectures, building integrations and solving problems across the full breadth of industrial R&D. You will embed with customer teams, translate ambiguous high-value problems into working systems, and build solutions that become part of how their scientists and engineers work day-to-day. First and foremost, we want to work with someone with a love of craftsmanship, continual learning and building systems that scale. Key Responsibilities Deliver deployments hands-on, across the breadth of industrial R&D Deliver complex customer deployments hands-on, writing production code, designing architectures, building integrations and debugging issues across CurieOS and customer systems Design and build systems that connect heterogeneous software, data and physical infrastructure, from simulation campaigns and digital twins to lab instruments, test rigs and CAD/PLM systems Build solutions that become embedded in how customer scientists and engineers work day-to-day Build and deploy Embed with customer teams to understand ambiguous, high-value R&D problems, challenge assumptions and identify where CurieOS can deliver meaningful impact Translate those problems into a technical approach, milestones and acceptance criteria, making pragmatic architecture and scope trade-offs as you learn Build evaluation loops with customer scientists and engineers, defining workflow-specific benchmarks and acceptance criteria that prove the system works in their world Own your engagement from initial technical discovery through implementation, production deployment and adoption, including technical quality Track KPIs per engagement (screening throughput, design-cycle reduction, experiments avoided) and communicate progress and outcomes to customer stakeholders Learn and adapt Rapidly upskill across unfamiliar scientific and engineering domains by collaborating with domain experts, no prior chemistry, materials, or engineering experience required Codify successful approaches into reusable integration patterns, tooling and playbooks so every engagement makes the next one faster Feed field signal to the platform engineering team to shape the CurieOS roadmap What We're Looking For Strong software engineering fundamentals and a track record of independently building, shipping and operating production software A track record of succeeding in ambiguous, fast-moving environments where requirements evolve through direct iteration with users The ability to move fluidly between conversations with customer scientists and engineers and deep technical implementation work Experience deploying software into complex production environments A genuine interest in building software that enables breakthrough scientific and industrial applications Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Find Jobs in United Kingdom on Arbeitnow

Orbital Industries is an AI Industrial company, with frontier AI embedded at every step in the production of critical physical products - from creating advanced materials to engineering and manufacturing. Every Orbital Industries product is developed using CurieOS, our AI operating system, uniting AI-automated hardware engineering with AI-designed material science to achieve breakthrough real-world performance. We also offer CurieOS to our customers and partners, extending the same platform and workflows that power Orbital Industries to their own teams and products. We have an ambitious mission and need excellent people in all our teams - AI research, operations, advanced materials, mechanical engineering, chemical engineering and manufacturing. Working at Orbital Industries means working in vertically integrated teams across the full stack, from molecules to manufacturing. We're looking for people who have a love of physical technology, curiosity in AI and a desire to learn. Role Overview Orbital's AI software platform, CurieOS, is used by scientists and engineers to design and build products serving critical industries. Powering this software are our world leading AI models in advanced materials, hardware engineering and simulation. As Forward Deployed Engineering Lead at Orbital you will build and lead the Forward Deployed Engineering function, owning its technical standards, delivery model and team. You are an engineering leader who builds alongside customers, not a delivery leader who manages engineers. You will deliver complex deployments hands-on while hiring and developing the team that scales this capability across Orbital's growing customer base. First and foremost, we want to work with someone with a love of craftsmanship, continual learning and building systems that scale. Key Responsibilities Deliver deployments hands-on, across the breadth of industrial R&D Drive customer adoption so CurieOS becomes how their scientists and engineers work day-to-day Deliver complex customer deployments hands-on, writing production code, designing architectures, building integrations and debugging issues across CurieOS and customer systems Own the technical quality of deployments from prototype through production, including reliability, maintainability and operational performance Design and build systems that connect heterogeneous software, data and physical infrastructure, from simulation campaigns and digital twins to lab instruments, test rigs and CAD/PLM systems Develop reusable integration patterns that allow CurieOS to operate reliably across complex customer environments Own delivery end-to-end Embed with customer teams to understand ambiguous, high-value R&D problems, challenge assumptions and identify where CurieOS can deliver meaningful impact Translate those problems into a technical approach, milestones and acceptance criteria, making pragmatic architecture and scope trade-offs as you learn Own the engagement from initial technical discovery through implementation, production deployment and adoption Set KPIs per engagement (screening throughput, design-cycle reduction, experiments avoided), measure pre/post and report outcomes to executive sponsors Build and lead the team Build and lead the Forward Deployed Engineering function, owning its technical standards, engineering practices and delivery model Hire, develop and manage exceptional Forward Deployed Engineers across diverse scientific and engineering domains Set the technical bar through code and architecture review, and act as the escalation point for the most difficult technical decisions and production issues Staff engagements based on technical complexity and individual strengths, while developing engineers into increasingly independent technical leaders Codify successful approaches into reusable architectures, tooling and playbooks so the team becomes more effective as it scales What We're Looking For Significant experience in enterprise software technical delivery or forward deployed engineering roles, you have led complex deployments and written production code alongside customers Experience building a forward deployed engineering or solutions function, hiring the team, setting the standards and defining the delivery model The ability to move fluidly between strategy conversations with R&D leadership and debugging sessions with engineers A track record of succeeding in ambiguous, fast-moving environments where requirements evolve through direct iteration with users Strong software engineering fundamentals, you still build, and your technical judgement is respected by the engineers you lead A genuine interest in building software that enables breakthrough scientific and industrial applications Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Find Jobs in United Kingdom on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Why Deliveroo? We're building the definitive online food company, transforming the way the world eats by making hyper-local food more convenient and accessible. We're at the forefront of an industry, powered by our market-leading technology and unrivalled network to bring incredible convenience and selection to our customers. Working at Deliveroo is the perfect environment to build a definitive career, motivated by impact on your own development, on Deliveroo as we scale, and on the marketplace and communities we serve. Consumer Ordering Experience owns the core purchase journey: the store page, item page, basket, and checkout flow, across both app and web. It's a global team — the surfaces we build support all of our brands: Deliveroo, Wolt, and Doordash. You'd be the team's first dedicated web/full-stack engineer, helping us build out our web experience from the ground up. What You'll Do Own and evolve the store, item, basket, and checkout experiences on web, working primarily in React and TypeScript Contribute to backend services written in Golang — deep Go experience isn't a hard requirement, but you should be comfortable picking up a new statically typed backend language Improve code structure, shape architecture, and review code across the team Partner closely with your Product Manager and fellow engineers to scope and ship changes to the ordering funnel Take part in the hiring process and support the growth of your teammates as the team scales What We're Looking For Must haves: Strong full-stack experience — comfortable working across web frontend (React/TypeScript) and backend (Go, or similar) to unblock delivery end-to-end Experience designing, implementing and rolling out A/B experiments (or strong aptitude to quickly learn our experimentation platform) — including guardrail metrics, staged rollouts and reading results Comfortable operating in a fast-moving, ambiguous environment with shifting priorities and short XP cycles (weeks, not quarters) Strong ownership mindset — able to take a brief PRD through design, implementation, rollout and production monitoring with minimal hand-holding Track record of shipping incrementally and iterating on data rather than big-bang launches Willing to participate in an on-call rotation and respond to incidents Nice to haves: Experience coordinating engineers across multiple platforms (iOS/Android/Web/BE) on a single initiative Active use of AI-assisted coding workflows, and interest in building reusable tooling/skills for the team We're looking for someone London-based who can work from our office 2–3 days a week alongside the rest of the team. Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . 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Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It's an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. AI is a key investment area for Kraken Technologies. A crucial part of this is building the shared foundations that let every team use AI well and move faster on our mission. You'll work in AI Foundations . We build the platform that lets teams across Kraken build and run AI agents. Our work covers four areas: Access: connecting people and systems to approved AI models and tools Context: grounding AI in trusted Kraken knowledge, data and systems Enablement: reusable building blocks for AI-powered workflows and products Governance: permissions, safety, quality, cost and visibility across the lifecycle 🏡 Where you'll fit in We're hiring Senior Software Engineers to join one of our three squads: Context: Build the Kraken-specific knowledge layer to make LLMs useful. This covers our internal AI assistant, a structured "client brain" that captures client context and decisions, and pipelines that collect knowledge from tools like Notion, Slack and GitHub. Tooling: deliver LLMs into people's hands. We run the AI Hub (usage insights, MCP gateway, self-serve and specialist agents), the LiteLLM gateway behind Claude Code, Codex and Claude Desktop, and secure cloud dev boxes for AI-assisted engineering. Evals & Observability: covers skill evals, internal benchmarking, agent safety and guardrails, and observability for live AI runs. Squads are flexible: when priorities shift, people move. This is a hands-on senior individual-contributor role. With your squad lead and the wider team, you'll own large parts of our platform, turn ideas into production systems, shape architecture decisions and help raise the engineering bar. 👾 What you'll own Build shared AI platform services: Design, build and run Python services that other teams rely on, such as gateways, agent runtimes, knowledge pipelines and eval harnesses. Build and run agents: Work out how agents are triggered, authenticated, monitored and governed across systems like Slack, GitHub, Notion and Asana. Ship both self-serve agents and specialist agents. Ground AI in Kraken context: Collect, structure and serve company knowledge so agents give answers that are correct, current and safe to use. Measure and prove quality: Define meaningful test cases, build evals whose results can be reproduced, and add tracing so we know how AI behaves in real use. Build in safety and governance: Turn permissions, guardrails, budgets and data-access rules into software you can maintain, working with Security and TechOps. Operate in AWS: Deploy and support services on AWS and Kubernetes, and make sound reliability, performance and cost trade-offs. Drive adoption: Work directly with engineers and non-technical teams, run workshops, write clear docs and turn feedback into product. Raise the engineering bar: Review designs and code, mentor others, and create patterns that can be reused across AI Foundations. 🧠 What you bring to the party Strong senior-level software engineering: You have owned complex services end to end, from design through testing, deployment and operation. Deep engineering fundamentals: Good judgement on system design, concurrency, security, testing and architecture trade-offs. Strong production Python. Hands-on LLM and agent experience: You have built real things with LLMs, you know where they fail, and you use AI coding tools every day. Cloud experience: You're comfortable running services in AWS and owning their reliability and scalability. Product sense: You care whether people actually use what you build. Clear communication: You can explain trade-offs to technical and non-technical people and challenge ideas constructively. Learning agility: You pick up new tools and domains quickly in a field that changes every month. 🚀 What success looks like Adoption: You ship platform features that teams across Kraken adopt and rely on. Solid systems: The services you own are observable, secure, scalable and cost-aware. Trust at scale: Teams can build and trust agents without rebuilding the basics. Team impact: You make your squad, and the teams around it, better. ⭐️ Bonus points: AI engineering: Pydantic AI, LiteLLM, LangChain, MCP servers Knowledge and retrieval: RAG, search, embeddings, knowledge graphs Evals and safety: Inspect AI, Ragas, OpenAI Evals, NeMo Guardrails, red teaming Platform: Kubernetes, sandboxed or cloud dev environments, AWS Bedrock Backend: Django Observability: Datadog, OpenTelemetry Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at ----- We'll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we're looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. *Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice , (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application.* Find Jobs in United Kingdom on Arbeitnow