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👫 About the team At Equativ, we're on a mission to develop advertising technologies that empower our customers to reach their digital business goals. This means that we rely on massively scalable, widely distributed, highly available, and efficient software systems; the platform deals with over 6 million requests per second (+500 billion/day) handled by 3,500+ instances with less than 250ms response time. Our innovation team based in Paris, Nantes, Limoges, Montreal, Krakow and Berlin is composed of 190+ straightforward and energetic engineers working in an agile environment and ready to tackle the most complex technical challenges. 👇 Your mission You will join our fast-growing R&D within the exchange backend development teams. Your specific team's mission is to improve our ad exchange platform seeking better performance, higher maintainability and faster scalability. As a member of the team, you'll get to work on production challenges, whether they are short-term focused (e.g. improving an algo to save CPU) or shaping the future of our platform (e.g. scaling it for the cloud). As an intern, you'll get to learn and grow within an international team composed of several areas of expertise. You will join the Auctioning feature team, made up of 5 developers, a Product Owner and a QA engineer, working at the heart of our real-time auction engine. You'll report directly to a Senior Engineer in this team. What you'll do ✏️ Work in an agile, international and multi-expertise team composed of software engineers, QA and DevOps. Ship your applications with GitLab and ArgoCD/Kubernetes. Improve our end-to-end test reliability and tooling. Participate in maintaining our stack to the newest .NET release. Participate in our daily features development. Monitor your features in production with Grafana and Datadog. Work on data flows with Kafka, Aerospike, SQL Server and BigQuery. Develop with Claude Code and help improve our AI efficiency. Learn a lot by working on one of the biggest productions of French tech! About you 💪 Must have: Master's or engineering-school student looking for an internship. Professional efficiency in verbal and written English. Serious doubts about the saying "Testing is Doubting". Passion for writing, reviewing and judging high-quality and maintainable code following agile principles. Appetite for learning and technical challenge. Coding skills with object-oriented programming (C#, Java, C++…). SQL basics. Nice to have: Experience with modern .NET (C#, ASP.NET Core). Curiosity about performance and low-level .NET (memory, GC). Interest in distributed systems and cloud development. Personal projects with code sharing, we're curious about your art! Find more English Speaking Jobs in France on Arbeitnow

At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you. At NICE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what's the role all about? Here at NICE Public Safety, we provide state of the art solutions for the Public Safety & Justice market, providing software as a service for multi-media evidence management and Emergency Contact Centres to a worldwide customer base. We are currently expanding our development team to allow us to continue to develop an exciting product that enables law enforcement agencies worldwide to keep up with the increasing demands of managing growing amounts of digital evidence. We are looking for a talented Software Developer to join our team. You must: ● Be able to communicate effectively, including via email, instant message, phone and video conferencing tools. ● Be fierce in your pursuit of product quality. ● Be an excellent problem solver with an active interest in the latest design and development tools and technologies. ● Be knowledgeable and enthusiastic about process. How will you make an impact? ● Design, implementation and developer-level test of UI, server and interface components, using C# in multi-threaded, multi-server environments. ● Ensuring your code takes into account the concerns of security, scalability, compatibility and maintainability. ● Performing testing of your work, fixing defects and helping to resolve customer support cases. Have you got what it takes? ● Solid experience developing ASP.NET web applications in C# using Visual Studio/Visual Studio Code ● Experience working in collaborative multidisciplinary teams ● Experience creating maintainable code and using source control solutions such as Azure DevOps, GIT or similar ● Experience of unit and automated testing using tools such as NUnit, Jasmine and Selenium ● Solid understanding of the principles of network security, authentication and authorization ● Experience of working with databases using Entity Framework ● Good knowledge of SOLID principles ● Experience creating RESTful APIs and ensuring API extensibility ● Experience of SOA (service oriented architectures) You will have an advantage if you also have: ● Cloud experience (Azure) ● Containers (docker, K8s) ● Security best practice (OWASP top ten) ● OpenIDConnect/Identity server ● Micro service architecture ● MS SQL Server ● Azure DevOps, TeamCity ● Infrastructure as Code (Bicep, ARM templates, Terraform) Education ● BSc in Computer Science/Software Engineering or equivalent Requisition ID: 11240 Reporting into: Manager, Engineering. Role Type: Individual Contributor. #LI-Hybrid About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Find Jobs in United Kingdom on Arbeitnow

About us Re-architecting Engineering for the Age of Intelligence PhysicsX is the physics AI company for industrials. The company's mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. Who We're Looking For As a Machine Learning Enginee r in Delivery , you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, and you excel at working directly with customers (and often side-by-side with them on-site) to build, deploy and maintain production-grade ML tools that are useful, and used. You design, build, and test reliable, scalable machine learning pipelines, and you know when to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling. You create analytics environments and resources in the cloud/on-prem that span data science, selecting the right libraries, frameworks and tools while making pragmatic product decisions that set delivery up for success. You thrive at the intersection of data sicence and software engineering, translating project outputs into tooling and products. With at least 1 year industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to hit the ground running. You're truly excited about growing your technical expertise and are naturally inclined to take ownership of MLE pipelines, continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving customer needs. This Role In this role, you'll work closely with our customers, as well as our team of Simulation Engineers, Data Scientists, and Software Engineers, to understand and define the engineering and physics challenges we are solving. You'll build the foundations for successful, impactful solutions by: Designing, building and testing data/ML pipelines, that are reliable, scalable and easily deployable in production environment. Productionising ML models and surrogates with clear validation, error analysis Exploring and manipulating 3D point-cloud and mesh data, applying graph/geometry-aware techniques where appropriate Working closely with simulation engineers to ensure seamless integration of data science models with simulations. Engaging in open communication and presentation with both technical teams and customers, helping onboard users and co-develop with customers. There is a requirement to travel to customer sites in North America, Europe, Asia, Oceania, an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As the role evolves, there are exciting opportunities for growth as a technical lead, perfect for someone who is driven by taking ownership of more complex projects and leading the direction of future solutions. Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you'll contribute to this exciting journey! We operate on a hybrid model, with around three days per week based in our Shoreditch office. What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there … 🚀 Equity options - share meaningfully in the company you're helping to build. 🏦 10% employer pension contribution - because investing in future matters. 🍽️ Free office lunches - to keep you energised and focused. 👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. 🍼 YellowNest nursery scheme - to help working parents manage childcare costs. ☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind. 💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. 👀 Eye tests - because good work depends on good health. 📈 Personal development - dedicated support for learning, development, and leveling up over time. 💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. 🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener. 🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. 🔎 Watch this space, we're continuing to build this as we grow… We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Cambridge, UK | Full-time or Part-time | Permanent (or Temporary) | Hybrid Salary: £80,000 - £100,000 DOE The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements. About us Riverlane's mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science, to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry's defining technical challenge, such breakthroughs can never be achieved. Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent and passion. Having raised more than $125M in funding to date to accelerate our cutting-edge R&D in quantum error correction (QEC), Riverlane partners with many of the world's leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We're making remarkable progress and growing fast. About the role The Senior Embedded Systems Software Engineer bridges the gap between Riverlane and its customers. They act as the primary technical interface for customer's engineers and guide them through product integration and help with trouble shooting complex quantum systems. As an Embedded Software Engineer on the Systems Team, you will configure our Deltaflow Hardware to connect to the Quantum Computer allowing it to provide a low-latency, high throughput system that performs complex operations in a predictable and guaranteed way. You will develop our software stack to work with customers quantum computers. You will ensure our customers can run quantum experiments, implement Riverlane's quantum errors correction algorithm and debug any issues that arise. This is a fantastic opportunity to join a team that is developing the world's most advanced quantum error correcting algorithms and QEC Hardware. The Riverlane team is a mix of mathematicians, physicists and engineers, working together on a range of exciting and cutting-edge QEC projects. What you will do: Technical Pre / Post-Sales: -Host Technical Workshops on Riverlane's QEC Stack and DeltaKit. -Evaluate Customers Software and data communication systems. Integration On-Site: End-to-End System Deployment. -Integrate our Software Stack into Customer's Quantum Computer Systems. -Work with Riverlane's Quantum Application Team to design experiments to test the compiled software. -Benchmark and discover system limitations. Troubleshooting and Debugging: Managing Customer Issues -Report issues and help replicate the setup with the QA team in Riverlane. -Writing scripts to help debug the complete system -Update test environment and document the experiments that were conducted. Customer Advocacy: Voice of the Customer to River Lane Product Team -Highlight the success, issues and trends on customer's Quantum Systems -Feedback key features that will be needed to win current and next generation products -Create Dashboard that would allow better understanding of the complete quantum computing system. What we need: A Bachelor's degree (or equivalent) in Computer Science, Electronic Engineering, Physics, Math or a related discipline. Great communication skills (written and verbal) and an ability to work with a diverse range of people are essential. Strong experience of at least one Embedded Software programming language (C, C++, Python, etc.) Proven experience in SoC design, Embedded Systems Design, or Computer Architecture Proficiency with a scripting language, such as Python (preferred) Working knowledge of Verilog, VHDL or System Verilog preferred Curiosity to learn about new technologies, including quantum computing and error correction A deep understanding of how hardware implements with software Experience with standard development practices, such as source control, continuous integration, unit testing, and standard debug methodologies Ability to work well within a team and independently Experience mentoring junior embedded Software Engineers (this is not a people manager role) Even better if you have: Experience working on scientific instrumentation Good knowledge of Quantum Mechanics Technical pre / post sales, professional services or field application engineering experience What can you expect from us A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme Equity, so that our team can share in the long-term success of Riverlane 28 days annual leave, plus bank holidays and enhanced family leave A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities A learning environment that encourages individual, team and company growth and development, including a regular programme of learning events and training and conference budgets How to apply Please upload a CV and covering letter by clicking 'Apply'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match. We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. If you have any queries, please contact com . Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every single qualification. We'd love to hear from you. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help. GDPR notice: Riverlane collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. About the Team AISI's Chem Bio (CB) team conducts technical research to assess evolving AI capabilities related to science R&D and CB misuse, and the effectiveness of technical safeguards that might mitigate risks arising from those capabilities. The goal of our research is to inform critical decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers. We're a close-knit, unusually interdisciplinary team—made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long-standing CB policy specialists and talented generalists—who work closely with other technical and policy teams across government. Role Responsibilities We are building a dedicated engineering function within the CB team — a small team that owns the shared platform, tooling, and infrastructure that our research projects depend on. This role is a senior individual contributor within that function. The successful candidate will: Design and build reliable systems — architect and deliver core platform components that enable researchers to run experiments and ship results quickly, including LLM-based agent systems, evaluation frameworks, and supporting infrastructure. Work closely with researchers — translate varied research needs across general agents, science agents, chemical and biological models and other CB workstreams into well-engineered, maintainable systems. Own and deliver significant engineering work — take responsibility for substantial technical projects and shared components, driving them from design through implementation, iteration, and maintenance. Write high-quality production code — build scalable, robust, and maintainable software, primarily in Python, with strong engineering discipline around testing, documentation, and observability. Contribute to engineering standards and practices — help improve code quality, development workflows, and shared engineering approaches within a growing engineering team embedded in a research-heavy environment. Collaborate across AISI — work with our Core Technology and engineering teams to share tooling, align on infrastructure, and avoid duplication. Support technical direction — contribute to architectural decisions, identify opportunities to strengthen shared infrastructure, and help make pragmatic technical trade-offs. Mentor others through technical leadership — support other engineers through collaboration, code review, and knowledge sharing, without formal line-management responsibility. Role Requirements We are looking for the following skills, experience and attitudes, but a successful candidate will not necessarily need to meet all these criteria. We can be flexible in shaping the role and salary to your background, expertise, and level of experience. Significant experience writing production-level Python code that is scalable, robust, and easy to maintain, with a track record of delivering substantial technical work. Strong infrastructure and platform skills — experience with cloud environments (AWS), container orchestration (Kubernetes), and job scheduling (Slurm or similar). Experience owning technical projects or major systems as a senior individual contributor. You do not need formal management experience for this role. Familiarity with the AI/ML ecosystem: OpenAI-compatible APIs, PyTorch, and the tooling around LLM-based systems. Ability to work across multiple teams, understanding varied research needs and delivering reliable engineering solutions. A sense of mission, urgency, and responsibility for success: Demonstrated ability to solve challenging problems, implement solutions efficiently and acquire any missing knowledge necessary to get the job done. Motivated to build software with direct policy impact. Strong communication skills, with the ability to work effectively in a dynamic, multidisciplinary team environment. Strong candidates may also have: Experience working in a research environment — you don't need to be a researcher, but you should be comfortable working alongside them and translating ambiguous research requirements into engineering plans. Familiarity with computational biology tools, workflows, or datasets. Experience building or maintaining internal developer platforms, shared libraries, or CI/CD systems for technical teams. Please note that this is a reserved post. We can only consider applications from UK nationals (including dual nationals who hold British citizenship). Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required—we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. You may also be required to undergo Developed Vetting (DV). DV typically requires a longer period of UK residency (around 10 years). Employment is conditional on obtaining and maintaining the required clearance(s). More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK. Other core requirements: You should be able to spend at least 9 days per fortnight working with us. You should be willing to work from our office in London (Whitehall) at least 3 days/week. You should be UK-based. What We Offer Impact you couldn't have anywhere else Incredibly talented, mission-driven and supportive colleagues. Direct influence on how frontier AI is governed and deployed globally. Work with the Prime Minister's AI Advisor and leading AI companies. Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access Pre-release access to multiple frontier models and ample compute. Extensive operational support so you can focus on research and ship quickly. Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy If you're talented and driven, you'll own important problems early. 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. Freedom to pursue research bets without product pressure. Opportunities to publish and collaborate externally. Life & family* Modern central London office, or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. At least 25 days' annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). On top of your salary, we contribute 28.97% of your base salary to your pension. Discounts and benefits for cycling to work, donations and retail/gyms. *These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: Level 3: £65,000–£75,000 (Base £40,850 + Technical Allowance £24,150–£34,150) Level 4: £85,000–£95,000 (Base £48,540 + Technical Allowance £36,460–£46,460) Level 5: £105,000–£115,000 (Base £63,165 + Technical Allowance £41,835–£51,835) Level 6: £125,000–£135,000 (Base £76,475 + Technical Allowance £48,525–£58,525) Level 7: £145,000 (Base £76,475 + Technical Allowance £68,525) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Use of AI tools in recruitment We may use AI tools to help our hiring teams review applications, for example by summarising application materials and helping us prioritise applications against the published criteria. People make every decision. AI tools do not decide the outcome of any application. Every decision is made by a member of our hiring team, and we do not make solely automated decisions about candidates. We only use the information you provide in your application. We do not use AI tools to collect information about you from other sources, including the internet. These tools are approved for use within AISI and operate in our secure environment. We process this information in line with our wider recruitment retention policy. You can ask how AI was used in relation to your application, request a human review, or object to AI being used, by contacting the hiring manager. This will not affect how your application is assessed. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance . Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background . As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK . Find Jobs in United Kingdom on Arbeitnow

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. At Anduril Australia we are developing unmanned systems for subsurface and other domains that will leverage unsupervised autonomy for the delivery of long endurance, multi-mission capability to our customers. These projects, including but not limited to the Extra Large Autonomous Undersea Vehicle (XL-AUV) Program, require Senior Site Reliability Engineers with deep experience in modern software development, delivery and sustainment toolchains. The Senior Site Reliability Engineer strives to leverage their experience to rapidly architect, design, delivery, support and evolve toolchains required to delivery next-generation autonomous systems. WHAT YOU'LL DO Lead the design, development, implementation and support of next-generation software delivery toolchains that enable the continuous and secure delivery of capabilities orders of magnitude faster than the competition, including in times of national crisis and across multiple national security classification domains Manage modern ICT systems at the infrastructure layer, including providers and/or technologies such as AWS, Azure, and VMWare ESXi Manage modern ICT systems at the operating system layer, including operating systems such as NixOS, Ubuntu, Red Hat, and Microsoft Windows Manage modern ICT systems at the orchestration layer, including technologies such as OpenShift, Kubernetes, Docker and Terraform Manage modern ICT systems at the application layer, including Github Enterprise, CircleCI and a variety of proprietary applications Contribute to our Nix managed build and deployment systems Contribute to the management of ICT hardware systems in a limited capacity Advocate for and implement best-practice security measures within Anduril's software toolchain Work as a member of a multi-disciplinary software team, including as a mentor for Software Engineers from differing backgrounds REQUIRED QUALIFICATIONS Bachelor's degree in Computer Science, Software Engineering, a relevant field, or equivalent experience Experience in a senior role for the delivery of a software and/or hardware system with a mature software delivery, security and operations capability Experience with the design, implementation and operation of horizontally scaled cloud technologies Experience troubleshooting and analyzing remotely deployed software systems Capacity to work holistically on software enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment Capacity to act as the technical owner for a software service, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity Ability to obtain and maintain an Australian Government Security Clearance PREFERRED QUALIFICATIONS Experience writing cloud-native services using C++, Rust, Python and/or Go Experience with the NixOS operating system and the Nix programming language Systems and/or application programming skills including algorithms, data structures, concurrency and optimization Experience managing infrastructure with Terraform A strong understanding of networking, particularly in cloud and hybrid environments A strong knowledge of and experience with deploying applications with Kubernetes and maintaining Kubernetes clusters Desire to learn and grow in to other roles that require experience as a Senior Software Engineer, such as Principal Software Engineer and/or Engineering Manager Desire to grow in to a Tech-Lead-Manager role, with responsibility for line management of engineers, in addition to delivery The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an ----- address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is ----- before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security. Find Jobs in United Kingdom on Arbeitnow

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: Develop controllable & realistic adversarial agents for more efficient simulation based evaluation and deploy them in the Waymo Simulator Iterate on the post-training recipes for the state-of-the-art Foundation Models and Waymo World Models You have: Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics, or a related technical field Proficient in Python Coding and Tensor Manipulation (using Pytorch / NumPy / JAX / TensorFlow / etc.) Experience with Machine Learning and Deep Learning We prefer: Hands-on experience with post-training and reinforcement learning Hands-on experience with attention mechanisms, diffusion and / or autoregressive architectures Experience with autonomous driving or robotics Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in The expected annual pay for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. PhD Pay £80,000 — £80,000 GBP Find Jobs in United Kingdom on Arbeitnow

About Us At Axle Energy, we're building the infrastructure that will underpin the decarbonised energy system. Our software moves energy usage to times when electricity is cheap and green, by controlling vehicle charging, heating systems, and home batteries. We control hundreds of thousands of energy assets. We're building in a legacy industry and moving gigawatt-hours of electrons in the real world, but we operate at lightning speed, and we're growing the team to meet customer demand. We're proud to be supported by world-leading investors, including Energize Capital and Accel. Read more about what we're building here . About the role Software Engineers at Axle build the core infrastructure for connecting to distributed energy devices, orchestrating them, and allowing them to participate in electricity markets. This is a generalist Software Engineering role, encompassing product-engineering, devops, and data engineering. We encourage engineers to own as much of the problem-space as they can: you'll spend time talking to clients, getting feedback from users, and working closely with market operators. At Axle, we work in a deliberately flat structure. That means fewer layers, faster decisions, and more ownership for everyone. Software engineering at Axle looks like Forming a deep understanding of the domain & the business, so you have enough context to execute independently at speed Focusing on outcomes, not process, and taking ownership for the end product you ship into the world Managing your own time and those of others to adapt to changing scope and deadlines, delivering 80% of the value in 20% of the time Tech stack 🐍 We build in Python + React for the frontend 🐋 Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility. 🤖 Unlimited Claude Code tokens - we are aggressive users and explorers of AI, and encourage everybody to reconsider their workflows regularly ☁️ We deploy on GCP What's in it for you A meaningful slice of equity in Axle, alongside a competitive salary, with total compensation ranging from £75k–£200k (base salary + equity). We operate with a deliberately flat structure and aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation. Enhanced parental leave to support you through life's meaningful moments. Bi-annual retreats to strengthen team connection & shared purpose. Hybrid working - We have a dog-friendly office around Farringdon. To maximize collaboration, we ask that you spend 2-3 days a week in the office. The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world. We are extremely keen to build a diverse company, and we're particularly eager to hear from candidates who don't fit the traditional role stereotypes. If you're motivated by our mission, please do reach out, even if you feel you might not 'check all the boxes'. Interview process Initial interview Remote pair programming Final interview (in-person) Offer, references, and welcome to the team! Compensation: £75K – £200K • Total Compensation (salary + equity) £75K – £200K Find Jobs in United Kingdom on Arbeitnow

About Us At Axle Energy, we're building the infrastructure that will underpin the decarbonised energy system. Our software moves energy usage to times when electricity is cheap and green, by controlling vehicle charging, heating systems, and home batteries. We control hundreds of thousands of energy assets. We're building in a legacy industry and moving gigawatt-hours of electrons in the real world, but we operate at lightning speed, and we're growing the team to meet customer demand. We're proud to be supported by world-leading investors, including Energize Capital and Accel. Read more about what we're building here . About the role Solutions Engineers at Axle build the integrations and technical infrastructure that enable our customers to connect distributed energy devices, orchestrate them, and participate in electricity markets. This is a generalist engineering role, encompassing core software engineering, customer implementation, and solution design. You will work closely with our customers to understand their technical requirements, build integrations, solve complex technical challenges, and help shape our product based on real world feedback. We encourage engineers to own as much of the problem space as they can. You will spend time talking to customers, getting feedback from users, and working closely with market operators, while collaborating with Product to deliver scalable engineering solutions. At Axle, we work in a deliberately flat structure. That means fewer layers, faster decisions, and more ownership for everyone. Solutions Engineering at Axle looks like Forming a deep understanding of our domain, our platform, and our customers' technical challenges, so you have enough context to execute at speed. Building and maintaining integrations with customer systems, distributed energy devices, and third-party platforms. Working closely with customers to troubleshoot technical issues, support implementations, and design scalable solutions. Steering customers towards a more direct launch plan and a better user experience. Collaborating closely with our Product team to turn customer feedback into product improvements. Focus on outcomes rather than process, taking ownership of the quality and impact of the final product you deliver. Manage your own time and support others to adapt to changing scope and deadlines, to deliver 80% of the value in 20% of the time Tech stack 🐍 We build in Python + React for the frontend 🐋 Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility. 🤖 Unlimited Claude Code tokens - we are aggressive users and explorers of AI, and encourage everybody to reconsider their workflows regularly ☁️ We deploy on GCP What's in it for you A meaningful slice of equity in Axle, alongside a competitive salary, with total compensation ranging from £75k–£200k (base salary + equity). We operate with a deliberately flat structure and aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation. Enhanced parental leave to support you through life's meaningful moments. Bi-annual retreats to strengthen team connection & shared purpose. Hybrid working - We have a dog-friendly office around Farringdon. To maximize collaboration, we ask that you spend 2-3 days a week in the office. The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world. We are extremely keen to build a diverse company, and we're particularly eager to hear from candidates who don't fit the traditional role stereotypes. If you're motivated by our mission, please do reach out, even if you feel you might not 'check all the boxes'. Interview process Initial interview Remote pair programming Final interview (in-person) Offer, references, and welcome to the team! Find Jobs in United Kingdom on Arbeitnow

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here's what this particular role covers. 🛠️ About our AI Platform Teams Our AI Platform teams build the infrastructure that powers Wayve's embodied AI. We store and serve hundreds of petabytes of driving data, growing towards exabyte scale, to support model training, simulation and data pipelines across regions and clouds. As our first dedicated Staff Software Engineer for Storage Platform, you'll set the technical direction for how we manage, protect and serve this data. Working closely with Infrastructure, Security, Privacy, Data Engineering and ML teams, you'll help make training more efficient while reducing one of Wayve's largest infrastructure costs. 🧠 Your day-to-day Lead a hands-on, multi-quarter storage programme, from defining the problems and architecture to delivering platforms that teams adopt. Build production services, controllers and infrastructure using Python, Go or a similar language, alongside Kubernetes and Terraform. Partner with ML and data teams to understand access patterns, remove storage bottlenecks and reduce the time GPUs spend waiting for data. Work with Security and Privacy to strengthen access controls, auditing and safe deletion of vehicle-collected data. Write design documents and RFCs, align teams around shared standards, and mentor engineers as the platform and team grow. 🧩 What you'll be working on Data ownership and governance: Give datasets clear owners, purposes and retention classes, with tagging and team-level cost attribution. Safe lifecycle management: Build retention, deletion and re-tiering capabilities for Azure Blob, backed by dry runs, audit trails and recovery paths. Read performance and caching: Improve throughput and latency by tackling small-object reads, throttling, unnecessary data access and cross-region hops. Secure data movement: Design Kubernetes-native NVMe caching and secure replication across regions and clouds. Measurable platform outcomes: Establish standards, dashboards and SLOs for availability, performance, cache effectiveness, storage tiers and cost. 🙌 You should apply if You've operated at Staff Engineer scope, leading complex infrastructure programmes across multiple teams from problem definition through adoption. You've owned petabyte-scale object storage end to end—including data layout, lifecycle management, performance and cost—with measurable outcomes against a cost target. You've built scalable systems for data ownership, tagging, cataloguing, retention or deletion. You bring strong security and access-management experience, including IAM/RBAC, encryption, secure replication and auditing. You're a hands-on software engineer with strong Python, Go or comparable skills, plus production Kubernetes, Terraform and CI experience. You build durable platforms and services, not just one-off scripts. You can influence technical decisions without formal authority, mentor others and are excited to start in a founding, hands-on role with the opportunity to grow a team. You can work on a hybrid basis from our London office. Experience with AWS or GCP is welcome—you don't need to have worked exclusively with Azure. 🌱 Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve's mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: Initial call / recruiter screen (30 mins) - A conversation with our Talent Partner about your experience, interest in the role and practical details. Competency Interviews (60 mins) - A programming interview to assess your hands-on software engineering skills. Deep-dive technical interviews - A system design interview and a domain-specific interview with the Hiring Manager, exploring your storage experience, technical leadership and approach to the role. Final interview (30 mins) - Mission & values alignment We'll always explain the format and work around your availability. What's in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you'll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we'd really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. Find more English Speaking 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. Your job is to make sure every payout and transaction lands with the right person. We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform. This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch. We are now looking for a Backend Engineer (Golang) to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one. This role will be based in London , UK as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin. What you'll do: Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers. Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout. Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times. Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer. Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter. Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team. Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event. Our expectations: 3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production. 1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly. A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one. Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar). Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability. Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality. Nice to have Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud. Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path. Background in Kotlin, Java, Python, or Node.js alongside Go. Familiarity with cloud infrastructure (AWS, GCP). Experience working across multiple brands, regions, or regulatory regimes. What we value A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output. Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them. A track record of owning a project or feature end to end, especially in fast-paced environments. Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together. An adversarial instinct. The best fraud engineers enjoy thinking like the attacker. 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 . 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. Senior Software Engineer Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo's growth at scale. The Team: MX Intelligence builds the tools DoorDash, Deliveroo and Wolt use to find, sign and onboard restaurants and merchants. That covers identifying and matching prospective merchants through to the CRM, quoting and contracting tools sales teams use to bring them onto the platform. We're replacing a Salesforce-based stack with one first-party platform shared across all three brands. We're looking for a Senior Software Engineer to join our London (Hybrid - 3 days from the office) team. In this role, you'll help us improve code structure and architecture while leading team project planning to maximise efficiency and reliability across our production systems. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You'll Be Doing Here's what your day-to-day might look like: Drive Technical Excellence: Improve code structure and architecture across your team's remit, performing high-impact code reviews to ensure quality and scalability. Lead Project Planning: Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features. Optimise Operations: Simplify the maintenance and operation of production systems, promoting visibility, health, and operational readiness. Collaborate & Influence: Build relationships across engineering teams to identify collaboration opportunities and influence the wider technical roadmap. Mentor & Hire: Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team. What You'll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Strong Engineering Principles: Deep pride in writing readable, well-designed, and well-tested software. Backend Expertise: Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust). Data Proficiency: Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch. Systems at Scale: Proven ability to manage web architecture at scale (handling 20krpm and above). Technical Leadership: Experience breaking down large pieces of work and guiding implementation choices for a team of engineers. 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. 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 . Find more English Speaking Jobs in United Kingdom on Arbeitnow