Power Platform Azure Developer in United Kingdom

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Engage with either AWS or GCP cloud ecosystems to ensure best practise development for new and existing solutions Build, deploy and manage Cloud Infrastructure through with IaC concepts Hands on experience with serverless services such as AWS’ S3, Glue or Lake Formation and GCP’s Cloud Functions, Big Query or Data Fusion Integrate native cloud services with 3 rd party solutions through the offered networking solutions Understanding of the Python ecosystem from local development to production environments Experience of DevOps approaches supported with Python Work within a delivery focused team using Agile methodologies Comfortable with Docker and some exposure to orchestration tools Review and implement security best practices within cloud environments We expect you to know how to architect, design, develop, deploy and operate a data platform and be a good leader for your team. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is not always possible, we thoughtfully assemble high-performing, blended

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Money Platform, International team builds the infrastructure that powers Ramp's expansion into global markets. We handle international payments, multi-currency operations, and compliance with regional requirements — the foundational platform that enables Ramp to serve customers beyond the US. International expansion is core to Ramp's growth strategy, and this team directly unlocks it. We work at the intersection of greenfield and scale: launching new markets from 0 to 1 while maturing the systems that already run. The platform we build handles cross-border payments, multi-currency accounting, and integrations with international banking rails — giving every other team a reliable foundation to build on. What You'll Do Build payment infrastructure that works across multiple countries, currencies, and regulatory regimes Design multi-currency accounting and reconciliation systems at scale Integrate with international banking systems and payment rails (SEPA, BACS, and SWIFT) Take on both 0-1 work (launching new markets) and 1-N work (sc

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Program Manager - Corporate Solutions Mastercard Corporate Solutions is shaping the future of commercial payments by building innovative products, platforms, and partnerships that help businesses move money smarter, faster, and more securely. The Product Governance & Launch Center of Excellence serves as the strategic execution engine for Corporate Solutions. The team drives alignment, governance, commercialization readiness, and measurable business impact across a portfolio of high-priority global initiatives. We are seeking a high-performing PMO Manager to support the governance and execution of strategic product programs across Corporate Solutions. This individual will partner closely with Product, Engineering, Commercialization, Regional Product, and Business Development teams to translate strategy into clear execution plans, drive accountability, and ensure programs deliver against defined business outcomes. The ideal candidate is a strategic operator who brings structure to ambiguity, drives disciplined execution, communicates with clarity, and influences outcomes across a complex global organization. This role requires strong business judgment, analytical rigor, executive presence, and the ability to operate independently. You will help drive high-impact initiatives that support produ

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Services Business Development Mastercard Services is a key differentiator for Mastercard, providing cutting-edge solutions that help our customers achieve their objectives. Centered on data-driven technologies and innovation, our services include payments-focused consulting, loyalty and marketing programs, data-driver platforms and cyber security solutions. Mastercard Services comprises of a diverse and dynamic team of experts who enjoy working in a goal-oriented and collaborative culture. As a member of our sales team, you will be on the frontlines - building excitement and generating demand for our unique services - while partnering with solutions experts to achieve the desired end. All about the role: Mission • Are you motivated by developing new insights into issues and developing recommendations that add real value to clients? • Can you develop strategies and programs for local, regional and global clients? • Do you want to play a key role in driving a world beyond cash? Key responsibilities include: • Identification of client’s pain points, root causes and potential solutions • Ownership of the sales process from prospecting to writing well-structured and persuasive proposals • End-to-end ownership of contract execution and coor

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager Channel Sales & Partnerships - Europe Mastercard Services, the professional services arm of Mastercard Worldwide, provides payments-focused consulting, marketing, platforms, information, loyalty and risk management services to financial institutions, retailers and government worldwide. The Data & Services team is a key differentiator for Mastercard, providing the cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centred on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Overview: The channel manager is a revenue-producing role that is responsible for developing and managing relationships with a defined portfolio of partners. The role is responsible for selective new partner recruitment, partner engagement in Mastercard’s channel program, joint partner business planning for specific partners, and enabling the partners’ sales resources and supporting their sales efforts. About the Role: • Meet assigned targets for revenues through new channel partners • Define the

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Designing and implementing robust python testing automation frameworks using BDD (Behave) ETL Testing: Proven experience in testing ETL pipelines, data validation, and ensuring data quality Scripting automated tests and working collaboratively with other engineers in a continuous build environment Familiarity with CI/CD tools such as AWS pipelines, Github actions Understanding of cloud architecture principles preferably AWS and/or GCP Data Testing experience - Ability to understand data requirements and perform comprehensive data testing Understanding of data engineering Excellent PyTest and SQL skills Nice to have: Behave BDD experience We expect you to have some knowledge about best practices in designing and building scalable and performant cloud-native data platforms and be comfortable with testing them. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is not always possible, we thoughtfully assemble high-performing, blended teams with the appropriate levels of exper

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Field Sales function is responsible for managing and growing a portfolio of Government and Public Sector clients, selling Dun & Bradstreet's data, analytics, and risk solutions to both existing and new customers. The role focuses on maintaining and expanding revenue through renewals, win-back activities, cross-sell and upsell opportunities, while building long-term relationships with stakeholders across Central Government, Local Authorities, NHS Trusts, and Universities. Essential Key Responsibilities Act as a trusted advisor to Public Sector organizations by developing strong relationships with key stakeholders and decision-makers. Conduct strategic conversations to understand organizational priorities, procurement requirements, and operational challenges while positioning Dun & Bradstreet's solutions to support their objectives. Maintain and grow an existing portfolio of Government and Public Sector accounts through successful renewal management, retention activities, and proactive customer engagement. Identify and develop new business opportunities within existing accounts and across the wider Public Sector market through cross-selling, upselling, and new account acquisition, working closely with Solutions Sales teams. Develop a strong understanding of Public Sector procurement frameworks, purchasing processes, funding models, and buying cycles to effectively navigate opportunities and maximize revenue growth. <

About the Team OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. About the Role As a member of the training team, you will push the frontier of LLM development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Relevant interests may include areas such as architecture design, long-context and efficient attention, optimization and the science of scaling. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, prototype and scale up new architectures to improve model intelligence Execute and analyze experiments autonomously and collaboratively Study, debug, and optimize both model performance and computational performance Contribute to training and inference infrastructure You might thrive in this role if you: Have experience landing contributions to major LLM training runs Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion Are motivated by safely deploying LLMs in the real world Are well-versed in the state of the a

About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are looking for a Principal Architect to define and drive the architectural vision of the software stack for the Graphcore ML accelerator. In this role, you will shape the architecture of our software ecosystem and maintain a deep understanding of the product’s hardware and software components, their interfaces, and how they interact. You are an excellent communicator, and you proactively convey the software architecture. You bring a pragmatic, trade-off-aware approach to decision-making, fully recognising the impact of architectural choices on product direction and engineering outcomes. The Team The software architecture team is responsible for defining, maintaining and communicating the overarching architecture of our software stack, from firmware to ML frameworks. The team works within the wider software organisation, partnering closely with engineering teams who deliver against this architectural vision. Responsibilities and Duties Define & document the software architecture of the software stack. Work across different software

NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Senior Software QA Test Development Engineer to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage 10s of 1000s of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks. SWQA test developer engineers at NVIDIA are responsible for creating test plans, execution, and reporting, as well as developing scripts for test automation, designing and developing tools for the QA team, and developing integration tests for validation. As a test developer, you must identify weak spots and constantly design better and more creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. The ideal candidate must have strong programming skills and hands-on experience using AI development tools to improve quality and productivity across the end-to-end QA workflow. This includes leveraging AI assistants for test automation, code generation, debugging, and enhancing testing efficiency. During the interview process, we will assess your ability to effectively use AI development tools and evaluate your programming capabilities to ensure you can deliver high-quality solutions. What you’ll be doing: Architect, implement, and evolve scalable agentic end to end SWQA workflow, automated test frameworks, infrastructure, and tooling for complex software products. Define test strategy and quality gates across functional, integration, regression, reliability, and release-validation workflows. Build and maintain high-value automated coverage for Linux-based, co

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Role: Vertical Technology Lead, Policy & National Security Altana’s mission is to power a new era of globalization organized around trusted networks. Nowhere is that mission more consequential — or more demanding — than in the policy and national security community, where the questions our customers bring us are matters of sovereignty, security, and how a nation understands the networks it depends on. These are the hardest programs we run. The technical bar is high and it keeps rising: the biggest opportunities are won, kept, and expanded on the strength of the technical work itself — sometimes on technical capability alone. As these engagements grow, so does the machinery large government partners expect from a serious partner: program management, delivery cadence, contractual rigor, accreditation. Left unmanaged, that machinery swamps the very people whose job is to architect and build. We’re changing how we deliver so it doesn’t. Large and strategic accounts are staffed with dedicated Implementation Delivery Managers (IDMs) who carry the program, project, and delivery-management load — and, as an account grows more complex, we trade up the team to meet it. That frees the technical leadership of the vertical to do what only it can do: hold the architecture bar, win the technical argument, and drive the last mile of product where the mission needs something that doesn’t exist yet. As Vertical Technology Lead for Policy & National Security, you own the technical outcomes for the vertical end-to-end. You are the senior technical counterpart to the vertical’s commercial leadership — setting the technical approach that wins business, owning the solution architecture and delivery that turns wins into mission outcomes, and leading the team that does the work. This is a UK-b

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Employee Relations Director Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview: Mastercard is looking for an experienced Employee Relations professional to join its Global Employee Relations team. Working closely with the People Business Partners, employment law, compliance and business stakeholders, the desired candidate will develop and leverage ER best practices and processes to support our culture of decency and fairness consistent with Mastercard values and local laws. The role will be based in London, Angel Lane on a hybrid work schedule (3 days per week in office). All About the Role • Provide expert advice to People Business Partners, managers and employees about comp

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary European Acquiring, Solution Sales Lead Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Mastercard has a vision to build a leadership position as the only truly multi-rail payments technology company and Europe is at the forefront in defining and executing our multi-rail strategy. Commercial payments are a large opportunity for Mastercard in the European region. This role will lead the growth of B2B payment acceptance solutions across Europe by partnering with major acquirers, processors, and payment service providers to develop and execute strategies that increase commercial card, virtual card, and embedded payment acceptance among business merchants. The role i

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. In this role, you will: Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability. Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements. Hel

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT THE ROLE The Snowflake Cortex team is on a mission to bring the transformative power of generative AI and machine learning to enterprise customers, seamlessly and securely within the Snowflake Data Cloud. We are seeking an entrepreneurial and customer-obsessed Product Manager to lead the product vision and execution for our AI Solutions and Services. In this role, you will own the end-to-end product lifecycle for some of our most exciting AI services. You will be responsible for understanding customer needs, defining the product roadmap, and working with a world-class engineering team to deliver innovative solutions that make it easy for any user to leverage AI. You will sit at the critical intersection of customers, our forward-deployed engineering team, core engineering, and GTM strategy, driving the future of AI within the Data Cloud. If you are obsessed with building products that are both powerful and simple, and thrive on turning ambiguity into impact, this is the role for you. AS A STAFF APPLIED AI PRODUCT MANAGER AT SNOWFLAKE, YOU WILL: Own the Product Vision & Roadmap: Define and articulate a clear, compelling strategy for large-scale AI solutions. You will architect and own the end-to-end product lifecycle, from deep discovery and detailed requirements t