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Location: London (Dean Street, Soho) Hybrid: 2 days in the office per week Level: Senior Why Join Us? At MONY Group, we help millions of people save money when it matters most. Through MoneySuperMarket, MoneySavingExpert, Quidco, and our B2B partnerships, we reach over 24 million unique monthly visitors, saving UK households billions of pounds every year. It's something we're proud of, and you could be part of it. We're creative, collaborative, and ambitious. It's hard work, but it's worth it: you'll leave each day knowing you've made a real difference to our customers and to your team. What Makes Us Different A workplace full of personality; open minded, diverse, and inclusive. Teams that go beyond comparison, working together to innovate and deliver world class experiences. A culture where everyone belongs and every voice matters. About the Role We're looking for an experienced Senior Android Developer to join our Mobile Collective, supporting and growing apps across MoneySavingExpert, Quidco, and MoneySuperMarket. You'll work in full stack, multi disciplinary squads, collaborating with product managers, designers, and engineers. Expect hands on involvement across the entire SDLC, from design and implementation to testing, deployment, and maintenance. We're an AI enabled engineering organisation, using tools like GitHub Copilot and ChatGPT to accelerate delivery and improve code quality. If you're excited about leveraging AI to build better products, you'll fit right in. What You'll Do Lead feature delivery and drive technical strategy within your team. Collaborate with product and design teams for pixel perfect implementation. Write clean, maintainable Kotlin code using Jetpack Compose. Champion best practices: TDD, pairing, mob programming, and continuous delivery. Ensure security is baked in from the start. Debug, optimise, and maintain a high performing codebase. Stay ahead of Android trends and bring fresh ideas to the table. Mentor and support team growth. What We're Looking For Proven experience building Android apps with Kotlin and Jetpack Compose. Strong understanding of mobile architecture and design patterns. Passion for agile development and shipping value fast. Experience with Espresso for testing and Git for version control. Comfortable using AI coding assistants to boost productivity. A collaborative mindset and a drive for continuous improvement. Why MONY Group? Hybrid working: 2 days in the office, the rest where you work best. Learning culture: Dedicated time for development, LinkedIn Learning license, and regular conference attendance. Community: Hack days, socials, and annual Product & Tech meetups. Career growth: Clear progression framework and opportunities to move across teams. Rewards & Benefits 27 days holiday (rising to 30) + bank holidays Bonus scheme Pension up to 6% employer contribution Enhanced shared parental leave (6 months paid for both parents) Work from anywhere scheme (2 weeks per year) Mental health platform access, financial coaching, and more Interview Process A call with one of our Talent Acquisition Team. An interview split into three sections with technical ability questions, a paired programming exercise, and behavioural questions. Our Commitment We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We're an inclusive, anti racist and equal opportunity employer that values diversity. This means we respect and embrace differences in gender identity, race, ethnic origin, sexual expression and orientation, religion and faith, age, marital status, disability, neurodiversity, social background, education and way of thinking. We're a place where you can be you. Our customers and users come from different backgrounds, as do our colleagues. We welcome applications from everyone, and particularly encourage women and Black, Asian and ethnic minority candidates to apply as we're actively building representation that's more closely reflective of the communities we serve. Our appointments are made on merit, following a robust and objective assessment process, and the candidate with the highest score is offered the role. If you're passionate about our purpose of helping households save money and excited about what you could accomplish here, we'd love to hear from you. Ready to Go Beyond Comparison? If you'd like to know anything before applying such as more on the location, salary, our parental leave policy etc, please just let us know and we'll be happy to help. You can contact the recruiter for this role, Tom at .

United States Digital Space LLC is seeking a Full Stack Developer for its Duxford, UK location. This hands-on role involves designing and delivering enterprise applications across the full software lifecycle, including deployment and production support. The ideal candidate will have strong experience in C#/.NET, React, and containerization technologies. Additional skills in AI implementation and cloud solutions are essential. Join a leading company in advanced composites technology.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with full stack development, across back-end such as Java, Python, Kotlin, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. Experience with relational databases and writing SQL queries. Experience with software architecture, API design, and distributed systems. Preferred qualifications: Experience with Machine Learning, Generative AI, large language models (LLMs). Experience working with server platform, Apps Framework, and Spanner. Interest or experience in Trust and Safety, fraud prevention, or identity verification. Familiarity with frontend development using server platform Web or similar TypeScript-based frameworks. Demonstrated ability to perform data analysis to drive engineering and product decisions. About the job the company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to the company's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Software Engineer on the Actor Safety team, you will contribute to the full-lifecycle development of the team's moderation and verification platform. People shop on the company more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for the company Commerce is to be an essential part of the shopping journey for consumers - from inspiration to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today's digital world. Responsibilities Design and build robust backend services and evolve our verification platform into a centralized orchestration engine, managing complex state transitions and integrating with various identity and verification providers. Design, build, deploy, and iterate on machine learning models (including LLMs) to detect spam and abuse in Shopping. Collaborate closely with product managers, data analysts, operations teams, and other engineering teams to understand requirements, translate them into technical solutions, and deliver impactful results. Analyze data to identify patterns of abuse, measure the effectiveness of our systems, and guide future improvements. Contribute to the team's engineering excellence by maintaining and improving the reliability of the production system, participate in teams oncall and contribute to code reviews, documentation, and overall system health. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: Also open to candidates willing to relocate, provided they have strong expertise in AI and automation. The role We typically work hand in hand with our clients to develop new Quality Engineering strategies or improve their existing processes. To do this, we need experienced, capable Quality Engineers who can both deploy their own mastery to get things done hands on and successfully lead others in doing so. The nature of our work varies from client to client so there will be lots of opportunities to experience new domains and new stacks. Our team is dedicated to applying great engineering to get great outcomes. Our engineers stand out by keeping one eye on value at all times, and by proposing thoughtful solutions that get the job done efficiently and with low complexity. You'd be a key advocate for this approach within a team. Beyond client work, our engineers are essential contributors to our internal and regional Quality Engineering communities. There are many opportunities to get involved and help shape conversations around topics you're interested in, share your knowledge and experience, and learn from colleagues working in very diverse problem spaces. We are looking for experience in the following skills: You have a passion for improving quality, productivity and software delivery You've spent several years defining and implementing modern Quality Engineering concepts including automated testing You're comfortable working in at least one object oriented programming language (JavaScript/TypeScript, Python, Java, C#, etc) You have hands on experience with GenAI (e.g. Playwright with MCP). Experience with AI assisted coding tools (e.g., GitHub Copilot, Claude) is required, knowledge of LangChain or LangGraph, and cloud environments is a plus. You love working with people to build things and solve problems together in an egoless way, regardless of their level of experience or your role in the team You're comfortable with change and always happy to learn something new; as consultants we flex our individual roles and tech stacks as required to get the best outcomes for our clients What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

the company is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join the company and power our mission to equip the workforce to win in the AI era. Opportunity It's an incredible time to join the Engineering team at the company, the UK's first edtech unicorn, as we equip the workforce to win in an AI era. You have a real opportunity to impact the lives of thousands of people - not by picking up tickets, but by building the engine that gets more people into transformative learning, faster. Mission the company is reshaping the future of workforce development. Growth at the company is a product problem, not a marketing problem - and increasingly the answers to those problems run through AI. You will join a domain team, gain deep knowledge of our products, and play a central role in delivering scalable, user-focused learner experiences across the platform. Product Our platform now serves tens of thousands of learners, and demand for AI skills is accelerating. You won't be handed a spec - you'll be in discovery, shaping what we build and why. Every feature you ship connects directly to a learner outcome, and you'll be expected to own that connection from design through to deployment. Team You will be joining a high-growth, high-impact cross-functional tribe spanning product, engineering, design, and AI innovation. We foster a culture of engineering craft, structured experimentation, and rapid innovation. We value engineers who are comfortable swimming in the deep end, who care deeply about the intersection of AI and user experience, and who are excited to solve complex scaling challenges. This is a high-trust, hands on building environment, supported by "10% time" for experimentation and weekly knowledge-sharing. We embrace a "re teaming" culture - giving you the high agency opportunity to dynamically form teams around business priorities, tackle new disciplines, and accelerate your career. Challenge You will tackle bold problems to drive our scaling efforts: Activate Learners: Build AI driven onboarding flows that adapt in real time to what a learner already knows, how they prefer to engage, and where they need support. Drive Engagement: Partner with AI Engineers to develop personalised learning experiences that adapt to individual pace, context, and need. Scale Systems: Operationalise AI generated content at scale across our end to end messaging systems - defining the guardrails that ensure output feels relevant and human. Ship Code: Deliver high quality architecture and write production code across our core stack: AWS, React, and TypeScript. AI Fluency This role sits at the intersection of AI and product. We don't treat AI as an add on or an experiment - it is our engine. We expect you to be a practitioner: You use AI assisted development tools (e.g. Claude Code, Cursor, Gemini) as a natural part of your daily workflow - to accelerate velocity, raise code quality, and explore solution space faster. You evaluate AI output critically. You know when to trust it, when to push back, and how to iterate toward something production worthy. You've worked with LLM APIs or agentic frameworks in a real product context and understand their failure modes - hallucination, latency, cost, and user trust. You bring a product builder's instinct to AI features: you're asking "does this actually help the user?" not just "does this technically work?" Your Impact As a Senior Software Engineer, your mastery drives direct business outcomes. We expect you to: Execute as an Owner: Independently lead initiatives from design to deployment. Avoid over or under building - arrive at implementations that solve the problem, deliver customer value, and scale. Elevate Technical Excellence: Zero tolerance for user issues. Launch bug free systems with proactive monitoring and instrumentation built in from day one. Scale Simplicity: Identify and manage technical debt, leaving the codebase cleaner than you found it. Understand a problem with multiple solutions, consider trade offs, and settle on the most suitable design before building. Multiply Your Team: Help less experienced engineers grow through mentoring, pairing, and code reviews. Proactively unblock peers. Embrace High Agency: Thrive in our re teaming environment - collaborate across functions, adapt to shifting priorities, and bring an owner's mindset to ambiguous challenges. Communicate Clearly: Inspire confidence when presenting complex technical concepts to both technical and non technical stakeholders. Take Initiative: Pull up a chair in discovery. Work alongside product and design to shape the problem before the solution is fixed. Name bottlenecks early and act on them. Stay Metric Obsessed: Track and understand product and engineering metrics alike - and always connect them to the business result they ladder up to. Grow Continuously: Treat setbacks as a signal, not a failure. Make calls without perfect data, change direction when new information arrives, and see the current state as a starting point. Operating Principles in Action We evaluate and drive performance through our BAM framework (Behaviours, Achievement, Mastery): Solve for Customer Value: Every decision starts with: "How does this create value for our paying customers?" Prioritise work that directly benefits the learner over internal convenience or habit. Drivers, Not Passengers: Own outcomes. Don't wait for permission to fix a problem - lead the solution, take others with you. Be Decisive, Even in Ambiguity: Launch imperfect solutions, test, learn, and course correct quickly. Don't let fear of the wrong call stall progress. AI to Deliver Outcomes: AI is your co author, not a shortcut. Use it to go faster and build better - but direct it deliberately, challenge its output, and hold the quality bar. Interview Process Initial Screen: A brief conversation about your background, achievements, and impact. AI Assisted Technical: A coding and system design exercise where you use AI tools to build. We assess how you direct, evaluate, and iterate on AI output - not just whether you can use it. We then deep dive into your technical mastery and architectural thinking. Architecture & Behaviours: How you live our Operating Principles - ownership, decisiveness, and how you bring others along. Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year Health & Wellness - private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work from anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect - Beyond the desk, we make time for weekly catch ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding the company is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other the company company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected . click apply for full job details

United States Digital Space LLC is seeking a Software Engineer to develop next-generation technologies that revolutionize user interactions. This position requires expertise in software development across various languages, particularly in full-stack environments. You will collaborate with teams to enhance verification platforms and contribute to machine learning projects. The ideal candidate will have a Bachelor's degree and extensive experience in programming. Join us in ensuring a robust and innovative system while enjoying a diverse and inclusive workplace.

About Us the company is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges. We take as much pride in our people, culture and work-life balance as we do in making better software. We're not just making better software. We're making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for the company, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains. Role Full-stack developers with a strong front-end focus, responsible for building the Superhighway control plane and the golden-path tooling engineers use to ship. This is an AI-enabled role: you'll work agentic-first, using an agentic harness (Claude or similar) to drive implementation, not as an occasional assist. You're as comfortable orchestrating agents to generate, validate, and test code as you are writing it yourself. The role pairs modern front-end development (React) with working knowledge of Python services and APIs. Key Responsibilities Develop and maintain front-end components using React for the control plane and audit/compliance/cost views Build responsive, scalable, high-quality UI features for self-service data exploration and platform interaction Drive implementation through an agentic harness: prompt, steer, and validate agent-generated code rather than hand-cranking it Contribute to backend development (Python/FastAPI) where required Build templated archetypes and golden-path kits that accelerate onboarding and development for other teams Collaborate with UX/UI to ensure accurate implementation of designs Ensure performance, security, and maintainability, with a testing-first mindset Required Experience Strong experience with React and modern JavaScript/TypeScript 6+ months hands-on with agentic editors (Claude, etc.) and a clear understanding of agent risks and mitigation Experience building web applications with API integrations Working knowledge of Python (FastAPI a plus) for backend/API development Familiarity with REST APIs and microservices architecture Strong focus on acceptance testing and architecture testing (unit tests enforcing standards: line limits, design patterns, imports) Experience with version control and CI/CD practices Proactive communicator who unblocks themselves and collaborates across a matrix organisation (no quiet handle-crankers) Desirable Experience Experience integrating AI/ML services (LLM APIs, embeddings, agent frameworks) AWS native development and deployment experience Policy-as-code expertise Snowflake or data-product experience (producing and consuming) Data visualisation libraries (charts, dashboards) Authentication and RBAC implementation Experience building developer platforms, golden paths, or internal tooling At the company, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis. We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at

With our strong investment in research and development and our culture of continuous improvement, the company is the industry leader in the manufacturing of advance composite materials, including carbon fiber, woven reinforcements, resins, prepregs, honeycombs and additive manufactured parts. We invite you to join the the company team at various manufacturing sites, sales offices and R&D centers around the globe. Become a part of the "strength within." the company is currently seeking a Developer (Full Stack, Cloud, AI & Platform Delivery) for our Duxford, UK location. Role Purpose We are seeking a highly hands-on Developer to design, build, and deliver modern enterprise applications across the full software lifecycle. This is an end-to-end ownership role, responsible not only for development but also for build, deployment, release, and production support. You will work across the full stack while embedding AI-driven capabilities, including prompt-engineered and data-grounded (RAG-based) solutions, into business applications. Over time, you will contribute to platform design, architectural direction, and engineering standards, with a clear path toward technical leadership. The selected individual will be responsible for but not limited to the following obligations: End-to-End Engineering & Delivery (Core Focus) Release Management & Production Support Cloud, DevOps & Infrastructure Containerization & Modern Platform Engineering AI & Intelligent Solutions Architecture & Technical Growth Collaboration & Delivery Qualifications Strong hands-on experience with: C# / .NET React Bicep (Infrastructure as Code) CI/CD pipelines (Azure DevOps / GitHub Actions) GitHub workflows Containerisation (Docker) Prompt engineering for LLM-based solutions (structured prompting, chaining, and output validation) Experience building or integrating Retrieval-Augmented Generation (RAG) pipelines (e.g. embeddings, vector search, data grounding) Proven experience delivering end-to-end solutions into production Experience building APIs and microservices Strong experience with Microsoft Azure DevOps, Cloud & Platform Engineering AI & Modern Development Excellent problem-solving and analytical thinking Proactive, self-driven learner Candidates must be eligible to work in the country where the position is based. the company (NYSE: HXL) is a global leader in advanced composites technology, a leading producer of carbon fiber, and the world leader in honeycomb manufacturing for the commercial aerospace industry.

At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The MLQA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution (numerical accuracy, performance analysis and benchmarking). Work closely with all software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Experience in production quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem solving skills and a proactive, self directed approach to work. Bachelor / Master / PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow. Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines. Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA based systems. Experience with people management or mentoring. In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications. UK Demographic Data We take pride in our commitment to creating an inclusive and diverse workplace. As part of our recruitment process, we ask for confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only and is not attached to your application. Your responses to the following three questions will remain confidential and will not impact or be used in any way in regards to your application. We are only using this data to improve our hiring process to be inclusive of all diversity backgrounds.

About the job Help prove the ML software stack that future AI systems will depend on. the company is expanding the software systems behind AI compute at datacenter scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware.You will build the test infrastructure, automation and tooling that engineers trust every day. Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. You will shape test architecture across large codebases, CI pipelines and representative ML workloads. You will use strong software engineering judgement to turn complex technical goals into scalable validation systems. This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams building at the edge of AI compute. The team and culture The ML QA team sits where the company's software components come together. Engineers work across unit tests, integration tests, full model runs, subgraph validation and benchmarking. Work is organised through focused squads with clear ownership. People are expected to step up, speak openly and improve how the team builds, tests and learns. Decisions are grounded in evidence from code, data and system behaviour. The team works closely with software teams to identify gaps, improve tooling and move priorities forward quickly. What we're looking for Strong software design skills, with experience building maintainable systems across large codebases. Production Python experience, including testable, reliable code used by other engineers. Experience with CI/CD, automated testing and Linux based development workflows. Familiarity with C or C++, with confidence reading and debugging low level code. Understanding of ML frameworks, workloads or model execution beyond simple API usage. Ability to mentor engineers, improve practices and take ownership of complex technical problems. Benefits Unlimited annual leave Up to 5% matched pension Phantom equity - share in the company's success True flexibility in how and where you work Office spaces designed for collaboration Free food and an on-site barista Health cash plan Income protection Life assurance Along with other benefits you can choose from (private medical insurance, dental plan etc) 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.

United States Digital Space LLC is looking for full-stack developers with a focus on front-end development using React. The role involves building the Superhighway control plane and utilizing AI harnesses to drive implementation. The successful candidate will have strong experience with modern JavaScript/TypeScript, collaborate closely with design teams, and contribute to backend development as needed. This position promotes a flexible and inclusive working environment.

Enterprise Solutions Architect - Fixed-Term Contract (12 Months) Department: Internal Technology Employment Type: Fixed Term - Full Time Location: Oxford, UK Description Based in Oxford, you will be the Enterprise Solutions Architect working in an architectural capacity on projects and ongoing maintenance of our enterprise systems landscape (including Microsoft Dynamics F&O, Salesforce, SharePoint, Microsoft 365, SAP Success Factors). You will be part of the architecture function and liaise with internal teams and third parties to ensure systems integrate effectively, and input to processes and practices to ensure they are scalable, secure and robust. We are undertaking several strategic business programmes currently to refine/change our tier 1 systems, in your role you will be aligned to at least 1 of these strategic programmes with overall architectural responsibility, escalating where required, to the Head of Architecture and Engineering, or the Head of Internal Technology. The successful applicant will have a passion for solving business problems with technology and combine exceptional technical capabilities with great communication skills and understanding of how the business operates. The successful candidate will work in a creative, intellectually stimulating environment. You will enjoy autonomy, and the opportunity to have a significant impact on Aurora's digital strategy, ensuring that our enterprise systems are highly effective and meet the needs of this very fast growing, data heavy business. Key Responsibilities Lead as the Enterprise Solutions Architect for at least 1 of the strategic business programmes focused on our tier 1 systems (Microsoft Dynamics F&O, Salesforce, SharePoint, Microsoft 365, SAP Success Factors) Champion enterprise architecture principles and governance whilst being hands on in delivery where required Be a confident technical liaison for 3rd party partners and internal stakeholders Ensure solutions are embedded through the engineering functions into operational readiness Make key decisions on how systems integrate, where and how data is mastered and how data flows between the systems, ensuring both the velocity and stability required Assure configuration, workflows and automation aligns with technology best practice and architectural standards within Aurora Ensure effective governance and integrity of system boundaries; be aware of and mitigate the risk of boundary creep Contribute to policies and practices to ensure our enterprise systems remain scalable, secure, and robust and that third party software across the business is appropriately managed Be a key resource for our Systems Managers (business partners with Aurora departments), providing architectural input to stakeholder requirements, guiding senior stakeholders as required, identifying and delivering scalable solutions Skills, Knowledge and Expertise Required attributes: Proven experience operating as an Enterprise Architect across multiple domains and delivery streams, with demonstrable impact through roadmaps, standards and governance Deep experience working with and governing 3rd Party integration partners, holding them to account and ensuring delivery and architectural alignment Strong understanding of EA disciplines (business/data/application/technology) and ability to connect them to portfolio and operating model decisions Track record defining and executing target-state architectures and transition roadmaps (incremental, time to value-led, dependency aware) Hands on experience implementing architecture governance: principles, standards, architecture reviews, exception management and decision records Microsoft ecosystem architecture depth relevant to the organisation's stack, including: Dynamics 365 F&O integration approaches and guidance Salesforce integration approaches and guidance SAP SuccessFactors integration and guidance Power Platform/Dataverse governance and ALM best practice; environment strategy and DLP controls Data Foundation expertise leveraging Microsoft data technologies with particular focus on Microsoft Fabric (or equivalent modern Lakehouse patterns), including governance/lineage and enabling self service analytics safely Enterprise SaaS integration across domains with Salesforce CRM, Dynamics 365 F&O & SAP Success Factors Strong integration design capability: Domain Driven Design, event based integration, API design principles, resilience patterns, operational considerations (SLAs, observability, incident readiness) Excellent stakeholder management and communication: can influence at exec level, simplify complex trade offs, and align diverse teams behind common patterns and outcomes Desirable attributes: TOGAF certification or equivalent applied EA practice Experience establishing EA repositories/tooling, platform guardrails, and measurable architecture outcomes (reuse, risk reduction, simplification) What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle to work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.

Locations: Glasgow/Edinburgh (must be willing to travel to client sites throughout the UK on an ad hoc basis) Please note: Any offer of employment is subject to satisfactory BPSS and SC security clearance, which requires 5 years' continuous UK address history at the point of application. In our team you will: We typically work hand in hand with our clients to build great digital products for them and for their customers. To do this, we need experienced, capable engineers who can both deploy their own mastery to get things done hands on and successfully lead others in doing so. The nature of our work varies from client to client so there will be lots of opportunities to experience new domains and new stacks. Our team is dedicated to applying great engineering to get great outcomes. Our engineers stand out by keeping one eye on value at all times, and by proposing thoughtful solutions that get the job done efficiently and with low complexity. You'd be a key advocate for this approach within a team. Beyond client work, our engineers are essential contributors to our internal and regional engineering communities. There's loads of scope to get involved and help shape conversations around tech you're interested in, share your knowledge and experience, and learn from colleagues working in very diverse problem spaces. AI You'll be expected to responsibly adopt AI assisted engineering practices-such as GitHub Copilot, GitLab Duo, and similar tools-for code generation, testing, documentation, and analysis, while understanding model limitations, protecting client data, and improving delivery quality and speed through pragmatic automation. SRE & Observability You'll bring a reliability mindset to delivery, designing services that are operable by default and measured through meaningful SLIs/SLOs. You'll help teams implement pragmatic observability-logging, metrics, and distributed tracing-with actionable alerting, and you'll contribute to (or lead) incident response and post incident reviews that drive learning and measurable improvements. We are looking for experience in the following skills: Strong experience with the AWS cloud platform and core services. Hands on experience with Kubernetes (build, deployment, and operational support in production). Proven use of Infrastructure as Code, ideally with AWS CDK. Working knowledge of Terraform for infrastructure provisioning and management. Experience with Atlassian suite (Jira, Confluence, Bitbucket) within Agile/DevOps teams. Strong understanding of CI/CD pipelines, automation, and DevOps best practices. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Locations: Glasgow/Edinburgh (must be willing to travel to client sites throughout the UK on an ad hoc basis) Please Note: Any offer of employment is subject to satisfactory SC security clearance which requires 5 years continuous UK address history, typically including no periods of 30 consecutive days or more spent outside of the UK. Note: The above information relates to a specific client requirement. In our team you will: We typically work hand-in-hand with our clients to build great digital products for them and for their customers. To do this, we need experienced, capable engineers who can both deploy their own mastery to get things done hands on and successfully lead others in doing so. The nature of our work varies from client to client so there will be lots of opportunities to experience new domains and new stacks. This role often involves leading client accounts holistically-people, delivery, quality, and commercials. As well as ensuring we're delivering great engineering, you'll also keep the big picture in mind and help our clients best use the capability and flexibility of a consultancy partner to reach their goals sooner. Our team is dedicated to applying great engineering to get great outcomes. Our engineers stand out by keeping one eye on value at all times, and by proposing thoughtful solutions that get the job done efficiently and with low complexity. You'd be a key advocate for this approach within a team. Beyond client work, our engineers are essential contributors to our internal and regional engineering communities. There's loads of scope to get involved and help shape conversations around tech you're interested in, share your knowledge and experience, and learn from colleagues working in very diverse problem spaces. We are looking for experience in the following skills: You are proficient in Java, with several years of hands on experience. Cloud experience, designing and delivering solutions on AWS and/or Azure. You enjoy collaborating in an open, egoless way and are adaptable, comfortable with change, and motivated to keep learning to deliver the best outcomes for clients. Set yourself apart: Proven ability to apply analytical and creative thought and translate into technical solutions. Proven ability to debug and resolve complex technical issues. Experience with building datastore solutions on at least one No SQL (Elasticsearch). What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

YOUR ROLE Build and scale cutting edge GenAI full stack applications, design infrastructure, and mentor team members. Collaborate to develop GenAI proof of concepts (POCs) using Retrieval Augmented Generation (RAG) and intelligent agents. Scale POCs to production ready solutions for customers. Design and develop full stack applications for GenAI and non GenAI projects. Support infrastructure development to enable robust end to end solutions. Explore and experiment with emerging technologies, including GenAI. Coach and mentor team members, fostering skill development. ADDITIONAL OPPORTUNITIES Business Development Lead or contribute to proposals, RFPs, bids, and client pitches. Develop innovative propositions and participate in client hosting events. Internal Initiatives Engage in campaign development, internal think tanks, and white papers. Contribute to practice operations, recruitment, and team building activities. Help shape the organisation's offerings and capabilities. Learning and Development Access training and certifications to enhance your career. Up skill in high demand areas such as GenAI. YOUR PROFILE Eligibility Hold an active SC (Security Check) Clearance or be eligible for such clearance. Technical Expertise Backend Development: Build microservices using Python/ FastAPI or TypeScript/ Express or equivalent. Frontend Development: Build React applications with TypeScript, leveraging Next.js or Vite. GenAI Frameworks: Familiar with LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript). LLM experience: Practical experience with OpenAI, Anthropic, Mistral, Llama, or Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands on with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to Terraform. Monitoring Tools: Familiar with Langsmith, Langfuse, or similar. CI/CD: Experience with GitLab, GitHub, or Jenkins. Database Management Vector Databases: Experience with ChromaDB, Pinecone, PGVector, MongoDB, Qdrant, etc. NoSQL: Familiarity with NoSQL databases such as MongoDB. SQL: Experience with PostgreSQL. Version Control Proficient in Git and platforms like GitHub, GitLab. Work Methodology Experience working in an agile team environment. Communication Skills Effectively communicate with internal and external stakeholders. Leadership Experience leading projects and people management. LOCATION AND REMUNERATION London, Manchester or Glasgow are office base locations, but the role may involve travel or assignment periods away from home. The remuneration package includes flexible benefits options and a variable element based on performance. EMPLOYMENT OBLIGATIONS To commence the role, you must provide documentary proof of entitlement to live and work in the UK. WORK LIFE BALANCE All UK employees are eligible to request flexible working arrangements and can embed hybrid working into their day to day routine.