Find Your Dream Career

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor Experiences Engineering is the team that builds and supports the world's leading marketplace for travel experiences . We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore—everything from simple tours to extreme adventures (and everything in between) —making memories that will last a lifetime has never been easier. About the Role We're looking for a product-focused Software Engineer II to join our fast-growing Experiences Engineering team. This is a full-stack role, leveraging Java, SQL, React, AWS and AI tools . It's ideal for mid-level engineers who enjoy solving complex problems, shipping frequently, and working in a modern cloud environment. You'll play a key role in building high-impact features that power millions of traveler experiences globally. We embrace flexibility in where and how work gets done and also value meaningful in-person moments to connect and collaborate. You can expect a remote-first working model with periodic in-person gatherings at your closest office for team connection, planning, or other key moments. This position is open to candidates based within a commutable distance (generally up to 1.5 hours) of one of our office hubs in Oxford. What You'll Do Drive Impact: Connect your engineering work directly to traveler value by owning features from design to deployment. Shape the Product: Partner with product, design, and data teams to influence what we build, helping to define specifications and find the most efficient path to success. Collaborate & Mentor: Review code, provide thoughtful feedback, and coach less experienced engineers to maintain a high bar for quality. Innovate with AI: Use agentic AI as a daily partner to plan approaches, automate routine tasks, and focus your energy on solving more complex technical challenges. Champion Operational Health: Take hands-on ownership of system reliability by building monitoring dashboards, managing alerts and support cases, and fixing underlying bugs to continuously improve service resilience and eliminate operational toil. Build for Quality: Design and implement clean, maintainable solutions with a focus on performance, security, and automated testing. Skills & Experience We typically look for a minimum of 2-3 years' experience, following a Bachelor's degree or above in Comp Science or a related field. Full-Stack Mindset: Experience developing web apps, including proficiency in a modern backend language (e.g., Java, C#, Go, Python) and familiarity with relational databases. Problem Solving: A strong grasp of computer science fundamentals (data structures, algorithms) and the ability to apply them to real-world distributed systems. Data-Driven: A habit of using operational data and experiment results to validate that your changes had the intended effect. AI Coding: you are fluent coding with either Cursor or Codex/Claude/Open Code. Global Mindset: Ability to operate effectively within a global team, communicating clearly about progress and blockers. We don't expect you to know everything on day one. However, we're especially interested if you've had exposure to AWS, React, or NoSQL databases. More than any specific tool, we value curiosity and the ability to solve problems creatively. We value engineers from different technical backgrounds. You can complete our coding interview exercises in any language of your choice, but need to be open to working within the Java ecosystem when you join! What We Offer Competitive compensation packages , including base salary, annual bonus, and more. "Work your way" with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you'd like in select locations. Flexible schedule . Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching . Give back? Give more! We match qualifying charitable donations annually. Tuition assistance . Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit . An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks . We believe that travel is employee development, so we provide discounts and more. Employee assistance program . We're here for you with resources and programs to help you through life's challenges. Health benefits . We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog , for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at ----- If you have any additional questions about careers at Tripadvisor you can email us at ----- We have all the answers! #LI-Hybrid #LI-SM1 Find more English Speaking Jobs in United Kingdom on Arbeitnow

About CuspAI CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock. We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters. We're on the cusp of the on-demand materials era. Join us. The Role We are seeking a Data Engineer with strong software engineering fundamentals to own, design, develop, test, secure, and deploy data-rich tools, services, and web applications. In this role, you will build the foundational data systems and platforms that enable our materials scientists, machine learning engineers, and partners to collaborate on diverse datasets at scale. Your Impact As a key member of our engineering team, you will bridge the gap between complex materials science data and real-world application. You will empower researchers and machine learning models with clean, structured, and accessible data, directly accelerating our ability to discover and design breakthrough materials. What You Will Do Own the full software lifecycle of data-rich tools, services, and web applications from design through to deployment and security. Build scalable data ingestion, processing, and cleaning pipelines to handle both structured and complex unstructured data. Develop data-intensive Python APIs and intuitive web applications/UIs that allow team members and partners to query, export, analyse, and visualise data. Implement robust orchestration systems to automate pipeline execution and manage data flows. Maintain strict standards for data privacy, governance, and security across all data architectures. Deploy and manage containerised data services using basic infrastructure tooling. Must Have Skills and Qualifications Software engineering background with a strong focus on data management. Deep fluency in Python. Hands-on experience with at least two database paradigms (e.g., Relational, Document, Columnar, Key-Value). Proven track record writing data-rich Python APIs and surfacing data through web applications with a UI. Experience working with complex unstructured data, large-scale datasets, and implementing data privacy standards. Experience with at least one modern orchestration framework (e.g., Dagster, Flyte, Prefect, Ray). Fundamental infrastructure experience with basic Docker and Kubernetes. Bonus Points Experience working with geographically distributed data. Experience with modern data lakehouse / warehouse technologies (e.g., Apache Iceberg, Delta Lake, Apache Hudi). Prior experience collaborating with scientists, domain experts, or ML teams. What We Offer A competitive salary: We value and reward impact and growth Equity in CuspAI: You have a stake in the success of the company Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays 'Gold Standard' parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world. CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate. Find Jobs in United Kingdom on Arbeitnow

About CuspAI CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock. We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters. We're on the cusp of the on-demand materials era. Join us. The Role As we grow, we are seeking a Platform Engineer with strong Python coding, DevOps and cloud platform expertise to build and maintain the infrastructure that powers our ML research teams. You will be the architect of the systems that enable our researchers to train and deploy models at scale. Your Impact In this role, you will build and maintain the ML infrastructure platform that empowers our AI researchers and materials scientists to conduct cutting-edge experiments. You will help to build and maintain the entire ML operations stack - from cloud architecture to deployment pipelines - ensuring our research teams can focus on science while you handle the systems. You will be part of a newly created team working with our VP ML Engineering, in which you will have the chance to help shape our entire ML infrastructure strategy and make a significant impact on our platform's architecture. What You Will Do Build the ML Infrastructure Platform: Design and implement a cloud-native platform on Kubernetes that enables researchers to easily train, evaluate, and deploy models without worrying about infrastructure complexity. Own the MLOps Stack: Implement and maintain CI/CD pipelines, model registries, experiment tracking systems, and deployment automation - the full lifecycle of ML operations. Scale Distributed ML Model Training: Build infrastructure to support distributed training across many GPUs, implementing solutions for data pipelines, checkpointing, and resource optimisation. Platform Reliability: Ensure 99.9% uptime for our ML platform through monitoring, alerting, and automated recovery systems. Be the guardian of infrastructure stability. Configuration Management: Use Kapitan to manage complex multi-environment Kubernetes configurations and ensure consistent deployments across dev, staging, and production. Cost Optimisation: Implement resource management strategies to optimise cloud spending and detect inefficient usage while maximising computational throughput for our research teams. Developer Experience: Create tools and abstractions that make it simple for researchers to go from experiment to production without deep infrastructure knowledge. Interdisciplinary Collaboration: Partner closely with ML Researchers, Chemists, Materials Scientists and Software Engineers to understand their needs, and to build the infrastructure for groundbreaking projects Must Have Skills and Qualifications You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain , with a personal interest in the potential applications of the technology that Cusp is building. You're a builder of tools and infrastructure who enjoys making life as easy as possible for the teams. As part of your interest in this area, you stay up to date with the latest relevant technologies, tools, and open source projects. You are a seasoned engineer with deep expertise in building and maintaining ML infrastructure (not model development), ideally in start-up environments. We need you to be able to hit the ground running and work autonomously as a subject matter expert, providing input and guidance around best practice where appropriate. You bring deep experience with ML workloads on Kubernetes and multi-cloud platforms (AWS, GCP, neoclouds) . You have strong Python and/or Go programming skills for infrastructure automation - not just scripting . Expert-level proficiency in Infrastructure as Code (IaC) using Terraform, Helm, Kapitan, and GitOps workflows . Experience operating distributed ML platforms for JAX and/or PyTorch (Tensorflow would be less relevant). You will also need to have GPU infrastructure experience, specifically managing GPU clusters and performance optimisation Previous experience as a Software Engineer before moving into DevOps / MLOps / ML Infrastructure, or at least writing code regularly (at work and/or in your spare time), as this should equip you with the kind of coding skills we're looking for. Bonus Points (But Not Critical) Experience using our tech stack (Flyte, Kapitan, Pants) or similar tools Experience with HPC environments and job schedulers (Slurm, PBS) Knowledge of ML serving infrastructure (Triton, TorchServe, KServe) Familiarity with scientific computing workflows and data management Experience with multi-tenant ML platforms Background in supporting research teams (understanding their unique needs vs. production ML) What We Offer A competitive salary: We value and reward impact and growth Equity in CuspAI: You have a stake in the success of the company Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays 'Gold Standard' parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world. CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. Mark43's mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools upon which our first responders rely. Our users are diverse, and we are therefore committed to embracing diversity of thought and experience within our team. Our platform is already trusted by major public safety agencies across North America—including Boston, D.C., Seattle, and the California Highway Patrol—and we've expanded into the UK. Now, we're entering an exciting new chapter: Mark43 is building a next-generation AI-augmented engineering team . This is a foundational opportunity to help rethink how software is designed, developed, and delivered using intelligent agentic or related tools. What You'll Do We're looking for a Software Engineer to help lead our AI-enabled engineering initiative. You'll work at the frontier of AI and software development, experimenting with agentic workflows and shaping how AI tools are integrated into every layer of our engineering stack. This isn't just about using AI to autocomplete code—it's about designing and orchestrating systems of AI agents that can plan, write, review, test, and deploy software collaboratively. In essence, you'll play a role akin to a tech lead for a team of intelligent coding agents . You will: Design multi-agent systems with coding-focused agents (e.g., code writer, reviewer, tester, deployer) Write the prompts, logic, and scaffolding that guide each agent's behavior Handle tool use, like enabling agents to access the file system, test runners, version control, and internal APIs Evaluate and refine agents' output, performance, collaboration patterns, and feedback loops If you were on the team last week, you might have: Prototyped a new coding assistant workflow using open-source LLMs and internal knowledge bases Led an architecture discussion on agentic build pipelines or automated PR generation Collaborated with a cross-functional team to build a fast, AI-powered interface for internal tooling Helped define the evaluation framework for AI contributions—accuracy, speed, and impact Mentored a teammate on combining TypeScript and AI tools to accelerate UI prototyping Explored best practices for safely and securely integrating generative AI into a public sector codebase Participated in our on call rotation What You'll Need We're looking for an experienced software engineer who is eager to build smarter systems by pairing technical expertise with emerging AI tools. You don't need to be an AI researcher—but you do need hands-on experience applying generative AI tools to real-world development workflows. You should have: 5+ years of professional software engineering experience Proficiency with at least part of our stack: Java, TypeScript + React, and MySQL Extensive applied experience with AI-assisted development tooling—whether it's Cursor, Windsurf, LLM APIs, codegen platforms, vector databases, agentic frameworks like LangChain, or custom-built systems A strong product mindset and interest in building for real-world impact A bias toward experimentation, iteration, and continuous learning Comfort operating in ambiguity and helping define best practices in a rapidly evolving space We're flexible on which tools you've used—we care more about your ability to learn, adapt, and creatively apply AI in practical settings than checking a specific tech box. People Who Thrive on Our Team Also Tend to Be: Humble, open, and curious. You ask questions and seek to understand before making assumptions Collaborative by default. You believe the best outcomes come from shared knowledge and ownership Mission-driven. You care about building tech that serves the public good Comfortable with uncertainty. You're energized by open problems and emerging technologies Growth-oriented. You embrace feedback, learn from setbacks, and look for ways to get better every day Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team. As a part of Mark43's security measures all employees must: Engage in appropriate use of the company's electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts. Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email ----- requesting the accommodation. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Senior Engineer Location: Bristol, London or Edinburgh (hybrid, three days a week in the office) Level: Senior Engineer II (TL1) Team: Engineering Contract: Permanent Reporting To: Software Engineering Manager About Kaluza Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today's challenges while accelerating the shift to a clean, electrified future. Our platform orchestrates millions of real-time decisions across homes, devices, markets and grids. By combining predictive algorithms with human-centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life. With teams across Europe, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen. What you'll do You'll join a technology community of product-focused and data-led product and platform engineers working at scale. We have a diverse ecosystem, spanning TypeScript on AWS, Go on GCP and Scala, we index on product-minded problem solving over language purity. As a Senior Engineer you'll own a slice of the product end-to-end, from design through to production, and you'll build AI coding agents as your default. We're looking for someone whose judgement is worth more than their typing speed. From your first day you'll have paid access to Claude Code, with a budget we don't ration, and access to the systems you need through MCP. Our tools and conventions evolve quickly, and you'll directly impact how we build from here. Own a slice of the product end to end: shape the problem with product and design, build the interface and the services behind it, ship it, and run it in production. Work across the stack over time : depending on the team you'll work across the interface people use, the services behind it, and the APIs between them, in whatever stack your team runs. Build with AI coding agents as your default : Break work down so agents can execute, direct them, and review their output as carefully as you'd review a colleague's pull request. You'll also maintain the tests and safeguards that let agent written code merge safely. Stay close to the people who use what you build: directly or through our forward-deployed engineers: a supplier's operations team, a customer plugging in a car at night. Instrument what you ship so you can see how it's used, and turn what you learn into shipped changes. Make good work the default: shape the codebase, conventions and automated checks so that agents and new teammates produce the right thing without anyone catching it in review. Mentor the team around you: Coach and mentor your peers and help improve how we work and evolve as a team. What you'll bring These are the practices and behaviours we see most in our top engineers and value deeply, but we don't expect everyone to tick every single box. If you're excited by the role and can see yourself thriving here, we'd love to hear from you. Experience shipping production software: You have a depth of experience in either a front-end or back-end of a modern stack, and potentially an openness to stretch across both as you navigate our diverse ecosystem. AI coding tools: You build with tools like Cursor or Claude Code, can walk us through work you've shipped this way and review AI output as rigorously as a colleague's pull request. Able to navigate a complex, high-stakes domain: You keep complex energy logic legible across microservices, knowing exactly when to use sync vs async to prevent cascading failures. Cloud and operational ownership: You're comfortable deploying on major cloud platforms using shared tooling. You fully own your software in production, which includes participating in an out-of-hours on-call rota. Strong product sense. You ask the "why" before building, and you can describe a time when user feedback or metrics changed what you shipped. Clear written communication. You write specs, pull request descriptions and post-mortems with enough clarity and context that either a human teammate or an AI agent can immediately act on them. A multiplier for your team: You mentor peers and proactively shape how the team works; introducing conventions, checks or shared context that makes everyone else's output consistently better. It would be great if you have Experience building tooling around coding agents, such as MCP servers, skills or CI checks Experience in energy, or another real-time or regulated field Our Values Five values guide how we work at Kaluza: Play to win: Collective pride in decarbonising energy at scale. Solve the real problem: Cutting through complexity to focus on real-world outcomes. Build trust every day: Consistency, transparency and doing what we say. Own the outcome: Full accountability, wins and setbacks, without ego. Go further together: Collaboration, respect and different perspectives. Our Perks Time off and family: 26 days' holiday, plus 26 weeks' full pay for new parents with no qualifying service period Health and security: Private medical insurance with virtual GP, life assurance, pension scheme, free mortgage advice and eye tests Pay and flexibility: Discretionary bonus, a Flex Fund of 5% of salary to spend on the benefits you want most, retail discounts through Perks at Work Growth and setup: Personal learning budget, home office budget Climate: Access to Furthr, our climate action app Come as you are We want to meet people from all walks of life. The more inclusive we are, the better our work will be, and we recognise talent on merit and potential. If you're excited about the role but don't tick every box, we'd still love to hear from you. This role requires an existing right to work in the UK. We can't offer visa sponsorship, but we review sponsorship role by role, so keep an eye on our careers site for future opportunities. Find out more on our careers page and LinkedIn . Our Applicant Data Protection Policy is here . Find Jobs in United Kingdom on Arbeitnow

About the job Build the framework support that helps AI developers unlock Graphcore hardware. You will help Graphcore accelerators work seamlessly with state-of-the-art ML frameworks, including Triton and PyTorch. Reporting to a Team Lead in Frameworks, you will design, implement, optimise and support critical software. Your work will shape how researchers and engineers use Graphcore hardware for demanding machine learning workloads. You will improve performance, quality and usability across a complex software stack. You will join our Triton team, delivering new features, reviewing code, writing technical documentation and working with upstream communities. You will also help coordinate open-ended technical work across teams. This role offers deep technical ownership and visible impact as the ML software landscape evolves. You will keep learning and may contribute across other framework teams. The team and culture The Frameworks team connects Graphcore hardware with the tools ML engineers and researchers rely on. We work across PyTorch, Triton, JAX and TensorFlow, focusing on usability and performance. Work happens through agile practices, close technical discussion and clear ownership. Engineers are trusted to speak up, solve hard problems and move work forward with pace. Decisions are shaped by evidence, code quality and business outcomes. You will work across Graphcore and with open-source communities to deliver software developers can trust. What we're looking for · Strong software engineering skills, with the judgement to manage quality, complexity and technical debt. · Experience developing in Python and C++. · Experience in compiler development. · Ability to manage complex technical tasks with cross-team dependencies. · Clear communication skills, with a proactive approach to collaboration and technical leadership. · Interest in AI, ML frameworks, performance optimisation or computationally intensive engineering. Benefits · Flexible working: Balance your work and personal life with greater flexibility · Generous leave: Take time to rest, recharge and enjoy life outside of work · Retirement planning support: Up to 5% matched pension · Phantom equity: Share in Graphcore's success · Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day · Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones · Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover · Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Join the Team at Graphcore Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to shape the frameworks developers use to push AI compute forward, we'd love to hear from you. Apply now to be part of the journey. Find Jobs in United Kingdom on Arbeitnow

About the team Restaurants run on a stack of tools that rarely talk to each other: one for delivery, another for online orders, another for reservations, another for loyalty, and a till that knows nothing about any of them. The same guest can look like three different customers across three different systems. DashOS is DoorDash's platform for fixing that. It connects marketplace ordering, direct ordering, reservations, loyalty, guest management, marketing and point of sale around one shared view of the guest, so every product gets smarter as the others are used. DoorDash launched DashOS publicly at Dash Forward in September 2026, and from 2027 more than 80,000 restaurants on leading POS and middleware partners. DashOS Engineering brings together engineers from across DoorDash, Deliveroo and Wolt into one global organisation, led from London. Our teams cover reservations and guest CRM, digital ordering and omnichannel loyalty, POS and self-order kiosks, AI-powered marketing and Voice AI, and the shared data and integration platforms that connect them. Each team owns its own roadmap. The shared mission is making them work as one system. About the role We're looking for a backend-focused Software Engineer to build the high-performance, highly available services that restaurants depend on every day, from booking a table on a Friday night to recognising a regular the moment they order. You'll work closely with other engineers, product managers and designers, and because DashOS is newly launched, you'll help shape how its products connect rather than inheriting decisions someone else already made. You're excited about this opportunity because you will... Design, build, test, deploy and improve backend services for customer-facing features used by restaurants and their guests in markets around the world. Own features end to end, from technical design through to launch and ongoing support, including taking part in an on-call rotation to keep systems reliable. Work on hard problems in data, latency and scale: unifying guest identity across channels, real-time availability search across thousands of venues, and integrations with the systems restaurants already run. Build on DoorDash's global platform, so the features you ship can reach restaurants across DoorDash, Deliveroo and Wolt markets rather than being rebuilt for each one. Work in a modern engineering environment with frequent daily releases, feature flags and AI coding agents used across code review, deployment and debugging. Partner with engineers, product managers and designers across London and other DashOS locations to decide what to build and how. We're excited about you because... You have 3+ years of professional software engineering experience, and a degree in Computer Science or a related field, or equivalent practical experience. You've built and operated backend services or web applications in production, with strong fundamentals in data structures, algorithms and system design. You're fluent in at least one modern backend language (we mostly use Python), and you're happy to pick up new languages and tools as the platform evolves. You care about the people using what you build, and you take ownership of technical solutions from first design to production. You use AI coding tools as part of how you work, or you're keen to, and you're comfortable reviewing and taking responsibility for what they produce. You enjoy collaborating with cross-functional teams to solve problems that don't have an obvious answer yet. Tech you'll work with Our services are built mainly in Python, with performance-critical systems in Rust, running on Google Cloud and DoorDash's global platform. AI coding agents are part of how we design, review and ship code, so we care more about how you solve problems than about which languages you've used before. You won't need to know every part of the stack on day one. Where and how we work This role is based in our London office at The River Building, on a hybrid pattern of 3 days a week in the office. About SevenRooms In 2011, Joel Montaniel, Allison Page, and Kinesh Patel founded SevenRooms after noticing that hospitality operators were missing a critical ingredient in the systems they were using to run their business: guest data. What began as a mission to help restaurants better understand and serve their guests evolved into a powerful platform used by merchants around the world. With best-in-class tools for marketing, operations, and guest experience — all deeply integrated with its industry-leading CRM — SevenRooms empowers operators to drive revenue, streamline operations, and deliver experiences that keep guests coming back. In 2025, DoorDash acquired SevenRooms to strengthen its in-store strategy and expand its merchant-first offerings. The combination brings together DoorDash's scale, reach, and digital innovation with SevenRooms' in-store capabilities to support hospitality businesses across every channel — from discovery and delivery to on-premise dining. As DoorDash builds out its in-store capabilities, SevenRooms plays a central role in enabling merchants to grow their businesses and connect more meaningfully with guests, whether they're ordering online or dining in. This move reflects DoorDash's broader commitment to empowering local businesses, fostering stronger connections between consumers and the places they love, and building technology that meets merchants — and their customers — wherever they are. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash . Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Us Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we're dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere. Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated. The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work. At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all. About The Position: As the Sr. Director & Head of Architecture at G-P, you will be the visionary leader responsible for defining and executing the long-term technical strategy for our global products and AI platforms and influence technical decisions across the company. This is a high-impact, executive-level role that bridges the gap between complex engineering execution and high-level business objectives. You will oversee the evolution of our cloud-native ecosystem, ensuring our architecture is scalable, secure, and infused with cutting-edge AI/ML capabilities. Reporting directly to the Head of Engineering, you will lead a high-performing team of Architects. You will work in close lockstep with Product Management, Engineering to harmonize technology decisions across the organization, ensuring our investment in technology translates directly into market-leading customer experiences What You Will Do: Strategic Technical Leadership: Define and strongly influence the execution of a target-state, AI-native architecture that supports both core software services and advanced AI Agentic behaviors. Architectural Governance: Establish global standards for architecture consistency, ensuring all platform components maximize reuse and align with the long-term technology roadmap. AI First thinking: Oversee the architectural design of complex AI systems, AI enablement strategies, data engineering, and governance controls. Ensure that these are integrated into a cohesive strategy and implementation. Customer Centricity: Everything we do is to serve our customers. Understanding the customers and the business is the only way to build strategies for it's success. Team Management & Mentorship: Lead, scale, and mentor a multidisciplinary team of architects, fostering a culture of engineering excellence and continuous learning. Security & Compliance: Define and create standards and governance mechanisms for software platform and infrastructure security to mitigate data breaches and ensure regulatory compliance. Technical Trade-offs: Act as a coach and decision maker with technical teams and business stakeholders, translating complex technical trade-offs when creating business impact. Innovation & Research: Serve as the ultimate "sounding board" for introducing new technologies, 3rd-party integrations, and open-source solutions to keep the platform at the forefront of the industry. Reliability & Performance: Ensure system and infrastructure architecture results in high reliability, low latency, and minimal outages as a primary measure of organizational success. Culture Builder: Help create a strong culture of innovation and technical excellence across the organization. What We Are Looking For: Minimum Requirements: 15+ years of experience in software engineering and architecture, building products and platforms with at least 5 years in a senior leadership or directorial capacity managing Architecture teams. Extensive Cloud Expertise: Proven track record of designing and deploying distributed, cloud-native architectures, especially AWS. AI First Product & Tech Strategies : Experience with building AI Native products and technologies. Strategic Communication: Demonstrated ability to gain buy-in for large-scale technical shifts from both executive leadership and hands-on engineering teams. Change Management: Experience leading architectural digital transformations within a rapidly growing or "unstructured" corporate environment. Financial Acumen: Ability to analyze technology trade-offs through the lens of Total Cost of Ownership (TCO) and ROI. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Our ranges are established using objective market benchmarking data for this level of work. Final placement within the range is determined by gender-neutral criteria, including the candidate's relevant skills, experience, and specific qualifications for the role. Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows: Sales Roles: This position is eligible for a commission structure in addition to base salary. Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary. Benefits G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time off, spending accounts, medical insurance, dental insurance, vision insurance, sabbatical after 5 years and more. Individuals residing, or applying to work, in the United States: California or Philadelphia , Pennsylvania, please review the following additional information: G-P will consider qualified applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Los Angeles applicants can review additional information regarding the Los Angeles City Fair Chance Act here: Fair Chance Initiative for Hiring Ordinance , and Philadelphia applicants can review information pertaining to Philadelphia's Fair Criminal Record Screening Standards Ordinance here: Fair Chance Poster . Any consideration of a candidate's background check with arrest or conviction records will include an individualized assessment based on the factors required by applicable law, including the candidate's specific record and the duties and requirements of the specific job. G-P. Global Made Possible. G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status. G-P also is committed to providing reasonable accommodations to individuals with disabilities. Individuals with disabilities are encouraged to apply for these positions. If you need an accommodation due to a disability during the interview process, please contact us at Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Threecolts Threecolts is a software suite built for consumer brands, helping them recover revenue, operate more efficiently and grow across major retailers and marketplaces. Our largest business, Margin Pro, helps brands recover money owed to them by retailers and marketplaces such as Amazon, Walmart and Target by managing disputes on their behalf. Alongside this, we're building and scaling newer products, including AI Operator and Retail 365, while continuing to grow our portfolio of subscription products across our customer base. Who We Are We're a global team of 340 people across 33 teams, having grown through 24 acquisitions. We operate with a flat structure, giving people real ownership and the ability to move quickly. AI is embedded in how we work across the business, helping us increase speed, improve quality and operate at scale. 🔥 Key Responsibilities You'll take ownership of features across Inventory Lab's C# and .NET-based systems, delivering them from initial design through to production. You'll design, develop, and maintain clean, scalable backend services, APIs, and application components using C# and the .NET ecosystem. You'll work with modern .NET technologies, including ASP.NET and ASP.NET Core, to build and maintain reliable, high-performance web applications and services. You'll focus on writing maintainable, well-tested code that supports the product's evolving requirements. You'll develop and maintain front-end features using Vue.js and TypeScript, building responsive, intuitive, and maintainable user interfaces that integrate seamlessly with backend APIs. You'll take ownership of full-stack features end to end, from designing backend services and data models to implementing front-end components, managing application state, and ensuring a consistent user experience. You'll collaborate with Product, QA, and DevOps to deliver reliable, performant features across the entire application stack. You'll operate independently within a defined scope, making sound technical decisions and balancing delivery speed with long-term quality. You'll actively improve existing systems, debug production issues, identify root causes, and implement durable fixes. You'll contribute to technical discussions, help evolve architecture within your domain, and raise engineering standards through thoughtful code reviews. Collaboration is key: you'll work closely with Product, QA, and DevOps to deliver features and improvements that provide meaningful value to Inventory Lab customers. 😊 About You 6–8+ years of professional software engineering experience. Strong proficiency in C# and experience building production-grade applications. Strong understanding of the .NET platform , including its runtime, libraries, and application development ecosystem. Experience developing web applications and backend services using ASP.NET and ASP.NET Core . Experience developing modern web applications using Vue.js or React, including component-based architecture and reusable components. Experience building responsive, accessible user interfaces and integrating front-end applications with REST APIs, and maintaining backend services. Solid understanding of system design, application architecture, and scalable software development patterns. Experience working with SQL databases, relational data models, and query optimization. Familiarity with cloud infrastructure: AWS or Azure. Experience debugging production systems, investigating root causes, and resolving issues independently. Comfortable working with Git, code reviews, automated testing, and collaborative development workflows. Ability to work effectively within an existing codebase and improve code quality without over-engineering. 💼 What we're looking for You have a strong ownership mindset and consistently deliver high-quality work. You make pragmatic technical decisions, understanding when to prioritize speed and when to invest in scalability, reliability, and maintainability. You understand the practical application of C# and the .NET ecosystem, choosing appropriate frameworks and patterns to build reliable software. You're comfortable working with existing systems, identifying opportunities for improvement, and delivering solutions that balance immediate business needs with long-term technical quality. You thrive in a product-led environment and care about the customer impact of what you build. You communicate clearly, collaborate effectively across teams, and look for ways to improve both the product and engineering processes. In this role, you'll support Inventory Lab, a product used by e-commerce sellers to manage inventory, listings, accounting, and operational workflows. The work will suit someone who enjoys solving practical product problems, improving system reliability, and building software that supports real customer use cases. ⛳️ Compensation, Perks & Benefits Salary: £ 110,000 per year 25 days PTO Healthcare & Pension benefits Opportunity to join company-wide offsites Regular rate reviews and bonus opportunities Fully remote/hybrid working Find Jobs in United Kingdom on Arbeitnow

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. We're excited to welcome a new cohort of graduates with a computer science or related major who are ready to leverage their skills to drive real-world impact and shape the future of finance! In our hybrid early career program, you'll be paired with a tenured Affirmer and have an opportunity to collaborate in-person 3 days a week out of our London office. You'll experience the best of both worlds: the in-office experience and remote work. After the one-year, you can remain hybrid, go remote, or stay in an office. Opportunities are available across different tech stacks and teams so that you can find a perfect fit to launch your career with Affirm! What You'll Do With the support of your team, you will work on tasks that contribute to the team's projects and goals. You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work. You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime. You will contribute to a sense of community on your team by engaging in growth and development activities. What We Look For You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor's degree in a related field. GBR base pay range per year: £ 80,000 - 118,000 Location (Hybrid): London Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described. Find Jobs in United Kingdom on Arbeitnow

Engineering has changed, and we're changing with it. We're looking for a Senior Engineering Manager to lead multiple teams into AI-native, agentic software delivery — building products used by thousands of eCommerce merchants worldwide. We're not hiring for where engineering was. We're hiring for where it's going. your impact You'll lead several engineering teams and their managers, and shape how we build software as AI reshapes the craft. From spec to delivery, you'll move us toward agentic and multi-agent workflows — with the quality, security and cost controls to back them up. We build on and around Shopify, which moves just as fast, so staying current isn't a nice-to-have here. It's the job. You'll work from our Leicester city centre office three days a week, with two days remote. what you'll do: Lead and grow multiple engineering teams and their managers, building a culture of continuous learning and technical excellence. Set long-term technical strategy with the architecture team and senior leadership, so engineering moves in step with company goals. Own roadmaps for complex, distributed, high-traffic systems — with resilience, observability and performance built in at scale. Raise AI maturity across your teams against our maturity model, moving from prompt, context and harness practices to agentic loops and multi-agent workflows. Keep building with new tools yourself so you stay sharp. Drive adoption of our AI development standards, including quality controls for AI-generated code. Manage AI tooling spend against the value it delivers, and escalate tooling gaps that block progress. Manage cross-team dependencies and handoffs, especially as agentic workflows change how work moves between teams. Lead hiring, performance and leadership development — growing your managers' AI fluency and recognising progress in performance and promotion decisions. Keep us secure and compliant, including governing what data AI tools and models can access. what you'll bring 8+ years in software engineering, including 4+ years in leadership, ideally managing managers. A degree in Computer Science or Engineering, or equivalent experience. A track record of scaling engineering organisations and landing new practices across multiple teams. Deep knowledge of large-scale system design, microservices and cloud-native architecture. Recent hands-on experience building working apps or tools with AI development tooling, and a clear view of its cost, security and quality tradeoffs. Experience balancing tech debt, reliability and feature delivery. Experience managing budgets, headcount and resourcing, including AI tooling and token spend. The influence to shape executive decisions and product strategy, and the coaching skills to grow strong leaders. Nice to have : Experience leading agentic workflows eCommerce experience, especially with Shopify Don't tick every box? Apply anyway. We hire for potential and mindset as much as experience - if this role excites you, we want to hear from you. life at clearer.io eCommerce is crowded, noisy and increasingly complex. At clearer.io, we're built for a different outcome: clarity you can act on. We connect to the stack a merchant already uses. Our AI agents enrich their catalogue, learn from their reviews and customers, and put that intelligence to work inside the tools they already own — so their products get found, trusted and chosen by shoppers and AI, without replatforming. We do this across our products: Clearer, Boost Commerce, REVIEWS.io and Influence, used by thousands of merchants worldwide. We're a global team with offices in Australia, the UK, Germany, Vietnam and the US, backed for the long term by PSG Equity and Silversmith Capital Partners. We care about doing the work properly: listening first, building second and shipping quickly where it matters. Results matter more than rhetoric. What guides us day to day: Customers at the heart: we obsess over their needs so we can grow together Purposeful progress: we don't settle - we take initiative and embrace bold thinking Endless innovation: we refine, improve, and take meaningful action Always open: we build trust through transparency and global collaboration clear benefits Private Medical Insurance with Vitality from day one - including private GP access, a 24/7 medical helpline and advanced cancer cover Dental, optical and hearing cover Mental health support - unlimited CBT (first 8 sessions without GP referral) and a confidential Employee Assistance Programme 20 days PTO and 6 bank holidays - plus the full week off between Christmas Eve and New Year's Day Hybrid working Your birthday off - a full paid day, just for you, every year Give Back Day - a paid day each year to volunteer for a cause you care about Bonusly peer recognition - real-time shout-outs tied to our values, with points that convert to real rewards Clearer Together - each quarter, one employee who exemplifies our values wins a fully-funded 5-night trip to one of our global offices (Sydney, Berlin, Leicester, Irvine or Ho Chi Minh City) Stopover - travelling near one of our offices? Once a year we'll fund a day with the local team a fair shot for everyone We're committed to a fair and inclusive hiring experience. Hiring decisions at clearer.io are based on skills, experience and role requirements - nothing else. If you need any adjustments during the interview process, just tell us; it won't affect your application. If you want to lead engineering through its biggest shift yet, and help make eCommerce growth simpler, smarter and clearer - we'd love to hear from you. Apply now. Find Jobs in United Kingdom on Arbeitnow

At IMC, technology is not a department; it's at the heart of everything we do. Developed in house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition. IMC's Amsterdam-based Java teams work on a wide variety of applications, tools and functionalities, including trading algorithm implementations, option pricing, calculating volatility, simulation frameworks, market risk applications, trade reconciliation applications and data analysis & visualisation tools for traders. We frequently need to develop not just the business applications themselves, but also the tools that keep our development process at the cutting edge. Your Core Responsibilities: As a software engineer, you'll work in multidisciplinary teams alongside other engineers as well as risk teams and traders to deliver challenging projects, while taking ownership for end-to-end product development – from requirements gathering to production. You'll write reliable, high-performance software while balancing time to production with quality and testability. Advanced automated testing and daily deployments will allow you to achieve agile and incremental benefits. Within a complex landscape of varying systems and technologies, you'll be constantly challenged to consider trade-offs between latency, throughput, simplicity, scalability and maintainability. Your core tasks will include: Coding, developing, testing, deploying and maintaining applications and automations for Trading Teams and/or Risk Management, Mid-Office and Strategy Development Teams. Working through internal client requests. Gathering details, requirements and feedback from a range of internal stakeholders in order to implement creative automation solutions using innovative coding practices. Your Skills and Experience: At least 5+ years of experience as a Software Engineer Strong programming skills in Java 17+. Experience in the latest versions of Java is highly desirable Familiarity with Docker and Kubernetes Comfortable in Linux environments Experience gathering business requirements, communicating with key stakeholders and delivering solutions quickly The ability able to work on greenfield projects under minimal supervision and to take full ownership of the applications you build A high degree of flexibility and adaptability: willing and able to deal with uncertainty and ambiguity in a rapidly evolving environment Strong troubleshooting and diagnostic skills; ability to solve problems creatively and proactively MUST have passport valid for US (ESTA) and Australia (ETA/eVisitor or visa) business trips. Our tech stack includes an ever-evolving range of systems and technologies, and our engineers have the freedom to choose the best solution for the problem at hand. If a new technology has the potential to add value, we'll actively invest in exploring, adopting and developing it. About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage. Find more English Speaking Jobs in Netherlands on Arbeitnow