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Graduate / Junior Developer, Python, JavaScript, PHP - London.

Software Engineer (AI-Forward) As a Software Engineer with Texas Sports Academy, you play a key role in building the software that runs our school — student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is a senior, AI-forward seat. You work directly with the founders, ship code every week with AI in your loop, and own the LLM-powered features that make our school feel nothing like a traditional school. What you will be doing • Designing, building, and shipping product features across the full stack every week, with AI coding tools running alongside you., • Building real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, evals for every one of them., • Working directly with the founders on scope, architecture, and trade-offs — no PM layer in between., • Owning the reliability, security, and cost of both classical systems and LLM pipelines., • Running your own AI coding workflow — prompts, subagents, custom tools, MCP servers — and raising the bar on how the whole team uses AI., • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code. What you will NOT be doing • Pretending AI is optional — if you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop every day, this role is not for you., • Writing tickets for junior engineers to implement., • Sitting in status meetings all day — few meetings, more shipping., • Working on a narrow slice of a giant codebase. Key responsibilities • Ship production code and AI features real students, parents, and staff rely on every day., • Own at least one major system end-to-end., • Move fast — features go from idea to production in days, not quarters — without breaking things., • Raise the AI-engineering bar as the team grows., • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics., • 6+ years of full-time production engineering experience shipping software to real users at real scale., • At least one prior senior, staff, or tech-lead role., • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software., • At least one shipped LLM-powered feature in production, with an eval story., • Strong skills in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP)., • Excellent written English, • Legal authorization to work from India or Pakistan as a remote contractor with a US company. Nice to have • Master's or PhD from a tier-1 institution., • Former founder, first-five engineer at a funded startup, or shipped products that reached real users at scale., • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG at scale, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use reliability, voice agents., • Public GitHub or a personal AI project we can actually try., • A personal project you built because you wanted to.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time. The Opportunity: As a Mimir Engineer you’ll join one of two sub-squads, Ingest or Query, that together maintain the open source _ and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes. Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms. What You’ll Be Doing: • Take an active role in influencing our roadmap and your own career objectives, • Work with your team to deliver new features, then use the results to iterate and improve., • Drive projects from initial idea all the way to operations once it is in the hands of customers, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability, • Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running, • Support other team members, participate in design discussions and collaborate with the team, • Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system What Makes You a Great Fit: • Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively, • Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must., • Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well, • Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way, • Some experience with developing software that runs in the Cloud or some experience with systems engineering, • Some experience with being on-call and following the DevOps model, • Experience writing clean, robust, and performant software that is easily maintained by others, • Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Bonus Points For: • Experience working with Kubernetes, • Experience working with queue systems, e.g. the Kafka protocol, • Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects), • Exposure to microservices architecture and distributed systems, or a desire to learn, • Familiarity with the concept of infrastructure as code In United Kingdom, the compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Senior Python Developer – Nottinghamshire / Hybrid £50,000 - £70,000 + excellent benefits This profitable and growing technology company require a proven Senior Python Developer, to come in and take ownership and accountability for technical delivery within the business. You will be involved in bespoke development projects of varied scope and complexity, joining an established dev team that follow agile principles. As a Senior Software Engineer, your role will be all-encompassing, involving hands-on development, team leadership, documentation as well as testing and validation of code. You will contribute to project planning and ideally have experience of CI/CD as well as Infrastructure-as-Code. Their head office is based in Nottinghamshire, with a preference for hybrid working. Candidates further afield may be considered if they meet the technical requirements. Package: • £50,000 - £70,000 (DOE), • Flexible working arrangements, • Professional development opportunities, • 5% employer pension, life assurance, enhanced leave, private medical and more Key Requirements: • At least 5 years’ experience in a similar role, • Python, • BASH, • Linux, • Agile, • Software architecture, Microservice and cloud experience, • Desirable tech – Docker, Ansible, Helm, Terraform, • Relevant professional certifications and education would be desirable The company have an excellent reputation within their sector and have invested heavily into their technical solutions to give them a competitive edge. They promote a healthy work-life balance and will give you the opportunity to develop your technical knowledge. Click APPLY to be considered for the role as my client is aiming to interview as soon as possible. All interviews are to be conducted virtually, with the process requiring two stages. If you have not heard back from us within 5 working days, please assume that your application has been unsuccessful on this occasion. Your profile may be considered for other suitable vacancies that arise within the next 12 weeks. Contact – Scott Murray Erin Associates welcomes applications from people of all ethnicities, genders, sexual orientations, and disabilities. Please inform us if you require any reasonable adjustments at any stage of the application process. Python Developer, Senior Software Engineer, Senior Python Developer – Nottingham, Derby, Burton-upon-Trent, Loughborough, Mansfield, Leicester, Sheffield, Stoke, Peterborough, Coventry, Chesterfield, Birmingham, Lincoln

AI Engineer - £60,000 - Remote My client, a Microsoft partner, is looking for a AI/ ML Engineer to join their rapidly growing Data and AI team. This is a remote position as the client values work life balance and flexibility. In this role you will utilise the latest AI technologies including Machine Learning, Gen AI and Open AI whilst working on various different projects. You will collaborate with clients to understand their business needs and provide them with AI based solutions. Requirements: -Experience in Data Science, Machine Learning and AI tech -Azure cloud technology experience -Strong Python Benefits: -Competitive salary -Remote working -25 days annual leave and bank holidays -10% bonus -And more Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Contact me:

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants in the UK. The Opportunity: We are the team behind , , and _, used by teams globally to ensure resilient, high-performing systems. This opportunity is with the synthetics squad, who build and operate our monitoring product: a multi-tenant distributed system implemented in Go and running on Kubernetes across all major Cloud service providers (GCP, Azure, AWS), running billions of synthetic tests each month. Senior Software Engineers at Grafana have a large amount of experience across multiple areas. They are able to estimate, plan, coordinate and deliver large tasks spanning multiple systems. They actively coach and mentor other team members in their team and are able to identify and resolve issues with technology and product processes. What You’ll Be Doing: We define senior roles via the scope of their business impact more than via their expertise or their specific activities. The most important thing we are looking for in an engineer is the ability to take ownership. You will need to drive technical implementations working across engineering teams and departments, contribute to business conversations, and help shape the long-term strategy. You’ll bring your passion for observability and software engineering expertise to help us take synthetic monitoring capabilities within Grafana Cloud to the next level. This will include working across products including Synthetics, Frontend Observability, Grafana k6, and Grafana Cloud k6. • Design and implement high-quality, scalable services to be consumed by multiple Grafana Cloud products., • Work with product teams, in addition to design and docs, to develop features that align with wider product strategy and customer needs, • Support the technical direction and vision of the team, contributing to strategic discussions and future development of observability solutions, • When necessary, represent Grafana Labs in open source forums, working groups, and events, • Work with other departments including Sales, Product, and Support teams to deliver a holistic product experience, • Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude, good communication skills, and transparency are a must. What Makes You a Great Fit: • Strong 8+ years of experience with at least one programming language. We use Go, but do not require candidates with Go experience. Long term experience in any major language (Python, .NET, Java, Rust, etc) with a willingness to learn Go is acceptable., • Demonstrated experience working with and monitoring Kubernetes in a production environment, • Experience with cloud-based software development and production systems, • Experience writing clean, maintainable, robust, and performant software, • Familiarity with observability tooling (e.g. Grafana, Prometheus, Loki, OpenTelemetry), • Experience with delivering projects from start to finish in a self-driven manner, • Experience in a hands-on technical leadership role, setting technical direction and leading project teams, • Experience with distributed systems, • Excellent problem-solving and debugging skills, • Strong mentoring and leadership skills, • Experience participating in an on-call rotation and incident management Bonus Points For: • Experience designing and building observability backends for various systems and applications, • Experience contributing to or maintaining open source projects, with evidence of successful pull requests and community collaboration, • In-depth knowledge cloud platform internals, • Strong understanding of metrics collection, visualization, and alerting concepts Compensation & Rewards: In the UK, the Base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Astra is building mission-critical infrastructure for moving money at scale. Our platform processes billions in annual transaction volume with 99.9%+ uptime, powering real-time transfers, bank debits, card disbursements, and complex financial compliance systems. We provide APIs and automation tools that enable businesses to move money programmatically while maintaining strict regulatory requirements. At Astra, a Technical Account Manager is the first line of technical troubleshooting for our customers. This person will respond to inbound inquiries, investigate and resolve integration issues, aid in technical client configurations, and provide clear guidance and support to customers and internal teams. They will work hands-on in technical environments to trace errors, diagnose problems, and escalate when necessary. The role requires strong problem-solving skills, comfort with technical systems, and the ability to translate complex issues into clear solutions for customers. This role requires working hours of 12:00 AM – 9:00 AM Eastern Time (ET), providing overnight coverage for Astra’s platform and customers. This schedule aligns naturally with UK and EU business hours, making candidates in those time zones a strong fit. North American and other candidates are also welcome if they are committed to this shift. Serve as a front-line technical contact by answering customer support inquiries, troubleshooting integration issues, and payment ops. Partner closely with the Integrations team to support onboarding of new customers, helping them configure and validate integrations. Contribute to Astra’s knowledge base by writing and improving technical documentation, FAQs, and guides to streamline customer self-service. Collaborate with the Integrations and Engineering teams on new product solutions, providing feedback from customer interactions and assisting with testing and validation. Investigate issues and other technical environments, identifying root causes and escalating complex problems when necessary. Act as a bridge between customers and the integration and engineering teams, translating technical details into clear, actionable communication. 1–3 years of experience in a technical support, integration, or solutions engineering role (startup or fintech experience a plus). Familiarity with cloud platforms (preferably Google Cloud Platform) and comfort navigating logs, APIs, and technical tools. Strong troubleshooting skills and the ability to investigate and resolve integration or data flow issues. Excellent written and verbal communication skills — able to translate complex technical concepts into clear, customer-friendly explanations. Experience with support systems like Zendesk (or similar ticketing platforms). A collaborative mindset with the ability to work cross-functionally with Engineering, Product, and Customer Success teams. A proactive, detail-oriented approach and willingness to document solutions and processes for future use. Proactive mindset - you seek out ways to improve systems and enable others Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field — or equivalent practical experience. Monitoring: Experience with observability and alerting systems Proficiency with cloud platforms, ideally Google Cloud Platform (GCP) Understanding of APIs, data integrations, and common troubleshooting workflows Experience with ticketing systems (Zendesk, Jira, or similar) Comfort working with logs, SQL queries, and basic debugging tools Strong documentation skills for both internal and customer-facing materials Cloud Infrastructure: GCP (App Engine, Firestore, Cloud Functions, IAM, Pub/Sub, BigQuery) Infrastructure as Code: Terraform, CloudFormation, or similar CI/CD: GitHub Actions, CircleCI, or similar platforms Programming: Python, Go, Bash for automation and tooling Customer Trust: Be on the front line, ensuring Astra’s integrations run seamlessly and customers feel supported. Product Reliability: Investigate and resolve technical issues that directly impact uptime and performance. Onboarding Success: Play a critical role in providing integration support to ensure new customer launches are smooth, fast, and reliable. Knowledge Sharing: Create documentation and insights that empower customers and reduce friction. Feedback Loop: Bridge customer needs and engineering innovation to shape Astra’s future solutions. Competitive compensation with equity in a growing fintech company (note that international employees may have different tax treatment) Remote-first culture with flexible working arrangements Small team, big impact - your work directly shapes our entire platform infrastructure Professional growth - lead infrastructure decisions for a scaling fintech platform Modern tech stack - work with cutting-edge cloud technologies Mission-driven - build infrastructure that powers financial innovation Astra is a remote-first company hiring only within the U.S. We value thoughtful collaboration, clarity, and initiative. We’re proud to be an equal opportunity employer and are committed to building a diverse and inclusive team. We're looking for technically savvy individuals who are excited by complex systems problems and have the educational background and experience to handle sophisticated challenges. If you're passionate about building mission-critical financial infrastructure and want to have a direct impact on our technical direction, we'd love to hear from you.

This is a vacancy for a hybrid, remote or on-site role at one of our HQs. We encourage applications from all qualified candidates, regardless of gender identity. As we continue to expand and evolve our Data Platform and Data Network products, we're looking for a Senior Machine Learning / Artificial Intelligence Engineer (m/f/x) to join our Product & Engineering team. In this role, you'll collaborate with our Principal Data Scientist to facilitate the establishment of practical AI solutions and scale our product capabilities, enhancing data integration offerings across our products. At Lobster, our Data Platform, Data Network, and connected Data Products share one mission: to connect people, data, and intelligence (human & artificial) to transform processes in supply chain, manufacturing, and retail. We empower our customers with the right tools to tackle complex challenges with scalable solutions. Ready to make your mark in an AI-driven environment? • Designing and building robust, scalable systems that support high-volume supply chain transactions across our platform., • Defining and implementing AI strategies and scalable microservices that drive data mapping, transformation, and intelligent integration., • Developing and maintaining RESTful and GraphQL APIs to ensure seamless communication between services and systems., • Creating and optimizing event-driven data pipelines to enable real-time processing, automation, and decision-making across our products., • Evaluating, selecting, and implementing the best-fit tools and technologies to solve complex engineering and data challenges effectively., • Collaborating directly with key customers and internal stakeholders to validate solution performance and ensure product impact and usability., • 5+ years of engineering experience focused on Machine Learning, AI, and Data Science., • Hands-on production experience with LLMs, PyTorch, ML pipelines, and modern prompt engineering frameworks., • Strong skills in Python development, including building microservices and working with event-driven architectures., • Proficiency in designing and consuming RESTful and GraphQL APIs., • Experience with AWS or Azure ML services (e.g., SageMaker, Bedrock, Azure ML) and cloud-native development., • Experience with PostgreSQL and MongoDB or similar relational and NoSQL databases., • A solid grasp of system design, scalability, and performance optimization in ML-driven applications., • A pragmatic, test-driven approach and experience implementing CI/CD pipelines., • Ability to translate business requirements into practical technical solutions, especially in data integration for supply chain/logistics contexts., • Strong communication skills in English., • Opportunity to work flexibly from home, • Modern offices in Germany, the Netherlands, and the UK, • A personal Learning & Development budget, • Up to 20 days of remote work per year from any EU country, • Company Pension plan, • 30 vacation days a year, • Location-specific benefits packages (your recruiter will be happy to provide more details during your first chat), • Company-sponsored business travel For this role, we are open to working with specialists based in Germany, the Netherlands, or the UK. Whether you prefer working on-site at our offices in Tutzing, Rotterdam, Leeds or remotely from a location within one of these countries, we’re happy to accommodate your preferred working style. If you’re excited about this role but don’t meet every qualification, we encourage you to apply! Lobster is an equal opportunity employer. We are committed to fostering a diverse and inclusive environment where empathy and respect guide our interactions.

Version 1 has celebrated over 26 years in the IT industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1. We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023. As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally. We are seeking a skilled Python Developer with experience in the trading domain and FIX protocol to join our dynamic team. The ideal candidate will have a strong background in software development, a deep understanding of trading systems, and expertise in the Financial Information Exchange (FIX) protocol. Key Responsibilities: • Develop, maintain, and enhance trading applications using Python., • Implement and support FIX protocol-based solutions for trading systems., • Collaborate with traders, quants, and other stakeholders to gather requirements and deliver high-quality software solutions., • Optimize and troubleshoot trading algorithms and systems to ensure high performance and reliability., • Participate in code reviews, testing, and deployment processes to ensure code quality and stability., • Stay updated with the latest industry trends and technologies in the trading domain., • Bachelor’s degree in computer science, Engineering, or a related field., • Proven experience for more than 6+ years as a Python Developer in the trading domain., • Experience with trading systems, market data, and order management systems., • Proficiency in Python programming and related frameworks/libraries., • Familiarity with databases (SQL and NoSQL) and data structures., • Excellent problem-solving skills and attention to detail., • Strong communication and teamwork abilities. At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology. We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.

About Keyrock Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 180 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. Mission statement We're seeking a skilled Quantitative Rust Engineer ready to shape the trajectory of our Prop Trading desk. You'll be embedded within our trading team, taking the lead in designing and improving essential infrastructure for trade execution, signal generation, model development, and strategy validation through backtesting. This is a perfect role for a proactive individual who excels in a rapidly evolving landscape and is passionate about pioneering new solutions. Working close with traders to develop new market making algo will require 2 days a week in person face time with traders. Job description You'll drive the full software development process for trading strategies: defining engineering needs and implementing new strategies, and then actively managing their live performance against backtested results. Collaborate closely with the business, constantly exchanging ideas with traders to implement new features and improve our established strategies. You will be the dedicated specialist responsible for pioneering trading strategies. Background and experience A minimum of 5 years focussed on developing components within front-office trading systems Proven ability in designing robust systems and optimising for minimal latency Direct experience working with Crypto, Foreign Exchange (FX), or equity products Strong proficiency in Rust and Python A solid mathematical background The drive and capability to own initiatives from initial idea through to successful completion and iteration Prior involvement in pricing strategies and their practical application in trading Expertise in the realm of quantitative research and machine learning Demonstrable experience in developing and deploying low-latency solutions Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. Our offer A competitive salary package Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. _

Remote-first across Europe. Occasional travel to Prague and to customer sites. About the role Duvo helps big companies actually finish the operational work that nobody on their team has time to close. The stuff that lives across an ERP, a few portals, somebody's inbox, three spreadsheets, and the occasional phone call. We map it, improve it, and run it for them. Our customers include one of Europe's largest online grocery retailers, a global beauty e-commerce brand, a Middle East retail group, and a European pharmacy chain. The buyer is usually a Head of Operations, Supply Chain, Finance or IT at a large retailer or FMCG brand. New deals land at €100k-€250k ARR and grow from there. This role sits between sales and engineering. You own the technical story in a deal, you run the workshops with the customer's ops and IT people, and you design the pilot that gets us from "this looks interesting" to a signed contract. You'll work directly with the founders and the AE in your region. What you'll do Run discovery and process mapping with customer teams. Take what they actually do across half a dozen systems, including the handoffs and exceptions, and turn it into a pilot scope with a clear Definition of Done. Build and demo pilots inside the product. We don't show generic decks. Every demo runs against the customer's process, with their data shape and their approval rules and their write-back targets. Own the technical evaluation. Security review, integration sizing, the IT objections. Bring engineering in when you actually need them. Stay in the deal through pilot delivery. The customer's outcome has to be verifiable, not just demoable, and that part lands with you. Who you are 3+ years in pre-sales, solutions engineering, forward-deployed, or implementation consulting. You've sold into Operations, Supply Chain or Finance buyers at enterprise companies. Retail or FMCG is a bonus. You get your hands dirty with SQL, a bit of scripting, REST APIs, basic Python. You don't have to be a software engineer. You do have to be the person who can debug an integration live on a call. You read a buying committee well. You know who the champion is, who the blocker is, and when to escalate. You explain things in plain English. You push back on customer asks when they hurt the pilot. Your call summaries are good enough that the rep just forwards them. What we offer Competitive salary and equity. We share the range on the first call. Seed-stage company backed by Index Ventures ($15M seed). Our founder and CEO is Tom Cupr, who previously founded one of Europe's largest online grocery retailers. You're the first pre-sales hire in your region. The function is yours to build. Remote across Europe / the US, with travel to customer sites in your region and a team offsite once a quarter. How we hire Recruiter screen 45 minutes with Omar (Head of Commercial) on the company and quick intros 45 minutes with Omar going deep on your background Working session: you deliver a demo to us Founder interview We try to close the loop in under three weeks. If this is the kind of problem you want to spend your time on, get in touch.

📍London or Remote (UK) | 💰 £55,000 to £77,000 + Options + | Our team: Our Borrowing business is growing rapidly across both existing products and the planned launch of new initiatives. Flex is an innovative credit card that gives our customers unprecedented visibility and control over their spending, offering features like flexible instalment plans and instant app management. If you are passionate about using data and agile technology to solve real-world financial problems and create a genuine feel-good factor around borrowing, this is your chance to contribute to a product that is defining the future of flexible finance. With your experience of developing unsecured retail credit risk strategies and building best in class credit capabilities, you will be responsible for developing our credit and pricing strategies for Flex. You will work with colleagues across teams to make sure we are building profitable lending portfolios and amazing products for our customers. Your day-to-day: • Working on initiatives to improve our credit underwriting, boost growth and/or manage portfolio risk, • Supporting the design and roll-out of new lending strategies by finding patterns in the data and translating these into insights, • Monitoring the performance of our existing strategies, and iterating to improve them, • Working alongside people from engineering, marketing, product, risk and control to design and deliver product changes, • Developing, maintaining and monitoring our credit models to assess net present value of new lending cohorts to drive strategic business decisions, • Building and maintaining the database tables and dashboards that provide insights and promote rapid, data-driven decisions, • Supporting the design and roll-out of new products and customer journeys, • Assessing how the lending portfolio of particular products will perform over time How we work: Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles. We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable. We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most. Work the way that works for you at Monzo! 💼 You should apply if: • You have experience in unsecured retail lending (e.g. personal loans, credit cards, overdrafts, buy now pay later etc.), • You have an understanding of how the unsecured retail lending market works including the impact of pricing dynamics on portfolio performance, • You have an understanding of lending economics and have experience developing and deploying underwriting strategies, • You have strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus., • You have a working understanding of the regulations that apply to lending in the UK., • You thrive in a fast-paced environment and are keen for the chance to improve our products and help ship changes to our customers, • You are a strong communicator, able to cut through complex problems and articulate decision points, • You have some experience in project management and coordination across teams, • You work well collaborating in a team with diverse skill-sets and personality types, • You are highly motivated and energised by the idea of bringing positive impact to our customers and Monzo We're on the look out for Credit Analysts (L30) at the moment, you can read more in our _ The interview process: Our interview process involves 4 main stages: • Recruiter call, • Initial call, • Take home task, • Final stage (x3 interviews) consisting of a case study, role specific interview and collaboration interview Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you: 💰£55,000 to £77,000 + stock options + _ ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits _ #LI-LG1 #LI-Remote

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍Cardiff, London or Remote (UK) | 💰 £76,500 to £103,500 + Options + | You’ll join the Core Borrowing team, a cross-functional group consisting of Credit Analysts, Product Manager, Engineers, Designers, Marketers, Customer Research. The team's ambition is to establish Monzo as the preferred borrowing option for its customers. This will be achieved by continuously enhancing the experience for existing borrowers and developing innovative new products. The credit teams are part of our wider Data Discipline which drives a strong-culture of data-driven decision making across the whole company using powerful, real-time analytics. As a Senior Credit Analyst, you’ll play a critical role in shaping Monzo’s credit strategy across core lending products. Your responsibilities will include: • Leading analytical initiatives to improve credit underwriting, manage portfolio risk, and support growth, • Supporting the design, implementation and iteration of lending strategies based on data insights, • Monitoring performance of existing strategies and identifying opportunities for improvement, • Developing and maintaining credit models (including cohort performance, risk segmentation, and NPV analysis) to inform strategic decision-making, • Building and enhancing dashboards, data pipelines, and reporting that enable rapid, data-driven decisions, • Collaborating with cross-functional partners in engineering, product, marketing, risk, and control to design and deliver product changes and features, • Assessing long-term portfolio performance and contributing to strategic discussions on portfolio health, • Helping define and document methodology, assumptions, and business impact for leadership and stakeholders Locations & flexible working: Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles. We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable. We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most. Work the way that works for you at Monzo! 💼 You’ll be a strong fit if you have: • Experience in unsecured retail lending (e.g., credit cards, personal loans, overdrafts, etc.), • A solid understanding of lending economics, including pricing, risk trade-offs, and portfolio performance metrics, • History of developing and deploying underwriting strategies or credit risk frameworks, • Excellent analytical and data skills - SQL is essential, Python and Looker are a plus, • Ability to translate complex analysis into actionable recommendations and communicate clearly with technical and non-technical stakeholders, • Knowledge of UK lending regulations and how they shape credit strategy, • Experience collaborating with cross-functional teams in fast-paced environments, • Strong project management and organisation skills We're on the look out for L40 Senior Credit Analysts at the moment, you can read more in our _ Our typical process is structured as: • Recruiter call, • Initial hiring manager call, • Take-home task, • Final interviews - (3x) including case study, role-specific, and behavioural interviews Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you: 💰£76,500 to £103,500 + stock options +_ ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits_ #LI-LG1 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2024 and 2024 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Who we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Our culture: We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote; based in UK or EU About the role We’re looking for an Integration Engineer to lead client onboarding for Sardine’s fraud and compliance products. You’ll manage end-to-end integrations, translate technical requirements into solutions, and ensure a smooth, successful deployment. This is a hands-on role working closely with clients and internal teams, perfect for someone who thrives in fast-paced environments and enjoys solving complex problems with practical, scalable solutions. What you’ll be doing Lead implementation and integration efforts for fraud and compliance products Work closely with clients and provide end-to-end support during their onboarding process, setting our clients up for success Own public-facing SDKs, APIs, integration guides, and support documents Analyze clients' requirements from the technical and functional perspectives and design solutions by having a deep understanding of our system and products' capabilities Manage implementation projects, including monitoring project quality, managing timelines, mitigating risk, and driving deliverables Build a deep understanding of customers' business problems, technical requirements, and success criteria so that you can provide solutions utilizing Sardine's technology Provide product feedback to internal stakeholders as the eyes and ears on the ground What you’ll need 3+ years of hands-on experience as an implementation manager, integrations engineer, technical account manager, solution architect, and systems analyst, working with multiple technical teams, both internal and external 1+ years of B2B SaaS experience, preferably working in the relevant domain (payment, fraud, risk, or compliance) Excellent written and verbal communication skills, including the ability to communicate complex technical and business concepts to technical and non-technical personas Excellent organizational skills and the ability to manage multiple projects simultaneously and drive deliverables to completion Experience with basic SQL querying and JSON payload analysis Experience with APIs specs like OpenAPI, web development, and writing scripts to build internal tools (e.g., bash scripting, Python, SQL, Ruby, Golang, Postman) Compensation: Base pay range of 35,000 - 45,000 GBP in UK; 40,000 - 50,000 Euro in EU + Series C equity with tremendous upside potential + Attractive benefits The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off, Year-end break, Self care days off Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Unlimited access to an expert financial advisory Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

Job Title: Ada CS Engineer Location: Remote, UK, with regular travel to Cambridge Salary: £39,000 to £45,000 p.a. Full-time equivalent, dependent on experience Basis: Permanent, Full-time, part-time or flexible Eligibility: You must be eligible to work in the UK The role The Raspberry Pi Foundation is working in collaboration with the University of Cambridge to deliver _, a free and accessible learning platform for computing teachers and students in the UK. We are looking for a motivated and proactive software engineer to join the Ada Computer Science development team and work on the development and maintenance of a key component of the UK’s computer science curriculum delivery. You will be working within a University of Cambridge development team and will represent the Raspberry Pi Foundation’s interest. You will be a key person in creating a shared understanding between the two organisations. This role is a chance for significantly more independence and autonomy than typical for this level of experience. The work you will do is open source and can be found on Github at _. You will be working to improve and develop resources and experiences for teachers and students and will have a unique chance to impact computer science education throughout the UK for both young people and educators. You will develop software in Java and React to enable learning experiences, as well as managing the software delivery and infrastructure that runs Ada Computer Science. You will be working with a supportive, collaborative, and agile team of software engineers from the University of Cambridge, product designers and managers from the Raspberry Pi Foundation and expert computer science educators. We work hard to make sure that the Foundation is a place where everyone is supported to do the best work of their careers. We have a flexible and collaborative approach to all aspects of our work. If you're the right person for the job, we’ll make it work for you, and you can be confident that you’ll be joining an exceptional team of people who care about our mission and each other. Responsibilities This role has the following responsibilities. • Design and implement Ada CS site features in collaboration with product teams and designers from the Raspberry Pi Foundation and the University of Cambridge., • Organise release testing and perform deployments, • Respond to support tickets, • Support product teams with requests for data and insights, • Manage on-premises servers maintained by the University of Cambridge, • Participate in our on-call rotation within business hours There are also opportunities to lead in specific domains, such as: • Testing strategy and approach, including Visual Regression Testing., • Building and deployment, managing the CI/CD pipeline and approach, • Developing analytics for key stakeholders, including managing the analytics infrastructure Experience and personal attributes We recognise that everyone has the potential for growth. We welcome applications from candidates who can demonstrate that they have some, but not necessarily all, of the experience and personal attributes listed here. • Great written and verbal communication skills, • Proactivity and strong self-management skills, • Professional development experience in React, Java and Python, • Experience with Docker, Docker compose and containerisation, • Experience with a relational database systems (e.g. MySQL, PostgreSQL, MongoDB), • Experience with software delivery and CI/CD, • Experience with software service metrics and monitoring tools such as Grafana, Plausible and Apache Superset., • Familiarity with Linux server administration and networking, • Experience directly interacting with end users, replying professionally to queries and questions, • Enthusiasm for growing the next generation of Computer Scientists and for educational outcomes in Computer Science About us The Raspberry Pi Foundation is an independent charity with a global mission to enable all young people to realise their full potential through the power of computing and digital technologies. We empower schools to teach computer science and AI literacy through free curricula, classroom resources, purpose built software tools, and professional development for teachers. We inspire young people to become tech creators through the world's largest networks of coding clubs. We undertake original research that informs our work and which we use to advance the field of computer science education more broadly. All of our resources and learning experiences are available for anyone to use at no cost. We are particularly focused on creating opportunities for young people who experience educational disadvantage and those who come from backgrounds traditionally underrepresented in technology industries. Over the past decade, we have supported hundreds of thousands of educators and tens of millions of students. We have teams in six countries (India, Ireland, Kenya, South Africa, the UK and US) and partnerships with mission-aligned non-profit organisations in over 60 countries. We are at the forefront of the global educational movement to expand access to computer science education and AI literacy. You can learn more about our work in our latest Annual Report. Benefits In addition to competitive salaries, we offer a wide range of benefits for all of our colleagues. • Paid time off. In addition to public holidays, full-time employees in the UK receive 25 days of paid annual leave initially, rising to 30 days after five years service, plus 3 additional days of paid leave for the company-wide closure at the end of each year., • Pension. We provide an 8% employer contribution on top of your minimum 4% employee contribution., • Private healthcare. We provide comprehensive private healthcare for all employees through Vitality Plus., • Flexible working. We have clear policies to provide flexibility over when and where you work, helping you balance work responsibilities with the rest of your life., • Support for parents and carers. We provide generous family leave and flexibility for parents and carers., • Life assurance and income protection. We provide life assurance and income protection schemes to provide peace of mind for you and your family., • Investing in learning and development. We invest in your growth and development, including through access to learning resources and training, with dedicated time for all employees., • Travel to work. Through our Cycle-to-Work and Season Ticket Loan schemes we support cost effective and sustainable travel to work. Timetable for applications Closing date: 20th April 2026, 9.00am GMT Phone screen: Week commencing 20th April 2026 First interview: Week commencing 27th April 2026 Second interview: Week commencing 5th May 2026 Our recruitment process All of our workplaces are inclusive spaces where we want people to feel respected, valued, and able to do their best work. We are committed to building teams that bring together people with a broad range of backgrounds, skills, and perspectives. That starts with our recruitment process. Here's what you can expect: • As part of your application, you will be asked to respond to a small number of questions that we will use to screen your eligibility for the role. You will also be asked to provide your cv and a short cover letter., • Eligible applications will be reviewed by our recruitment team and the hiring manager., • A small number of candidates will be invited to a phone call with the hiring manager., • The purpose of this call is to check our understanding of your application and to answer any questions you have., • We normally have two interviews, which may take place in-person. Interviews will be with the hiring manager and at least one other colleague., • You will usually be asked to undertake a work-based assessment in advance of your interviews. This will be an opportunity for you to show how you would perform some part of the role. You will be given advance notice and clear instructions., • If you have any questions about or feel that you need any adjustments to the recruitment process, including adjustments for neurodiversity, please contact our People and Culture team at recruitment@raspberrypi.org. We are committed to safeguarding and promoting the welfare of children and young people, and we expect all staff and volunteers to share this commitment. Everyone appointed to a role at the Foundation will be required to undergo a background check to confirm that you are a suitable person to work with children. Further background checks will be made at regular intervals thereafter.

Neoflow is a platform that transforms how businesses globally handle payment processes. Our aim is to streamline your payment operations, ensuring they are smooth, efficient, and secure. We eliminate interruptions and minimise the time spent managing payment operations, so our clients can concentrate on expanding their business. We are currently seeking a Full Stack Engineer to join our dynamic team. In this role, you will have the opportunity to work with a team of talented professionals, driving the company's technological objectives forward. Neoflow prides itself on its commitment to innovation, and as our Full Stack Engineer, you will play a pivotal role in developing and implementing cutting-edge solutions. This role is not just a job—it's a career packed with opportunities to grow and make a significant impact in a fast-paced, tech-driven environment. We are a remote first company and we welcome applications • Develop and maintain web applications using front-end technologies such as HTML, CSS, and JavaScript, • Design and implement database schemas and query optimization for efficient data storage and retrieval, • Collaborate with cross-functional teams to develop and integrate APIs for seamless data exchange, • Perform code reviews and ensure adherence to coding standards and best practices, • Troubleshoot and debug issues, and provide timely resolutions to ensure smooth functioning of the application, • Bachelor's degree in Computer Science or a related field, • Minimum of 3 years of experience in full stack development, • Proficiency in programming languages such as JavaScript, Python, and Java, • Experience with front-end frameworks like React or Angular as well as backend Javascript frameworks such as NodeJS, ExpressJS, or NestJS., • Knowledge of database systems and SQL queries, • Previous fintech experience will be an advantage, but not a requirement Join Neoflow, a leading company in fintech. Apply now for the Full Stack Engineer position and be part of our innovative and dynamic team!

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a _ (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a _ company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in _, committed to making a positive impact on its customers, employees, and communities. The Role Turn your data science skills into tangible impact! Develop innovative services that make a difference. We're a rapidly growing company looking for teammates to solve complex problems and bring solutions to life in large-scale software products. The Veeva Link engineering team seeks Data Scientists and Machine Learning Engineers to participate in all aspects of building and operating AI language features that help our global clients bring products to market faster. \n What You’ll Do • Work within a cross-functional application team to build scalable language services in the range of NLP, NLU, and NLG for live SaaS products, • Help develop and groom an experiment backlog, • Build models that solve real-world problems, • Optimize models for production throughput and uptime requirements, • Automate deployments, testing, and monitoring (MLOps) Requirements • 5+ years of developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services, • Expert in Machine Learning, Modeling, and development with Python, • Expert in MLOps with at least one platform, e.g.: MLflow, Kubeflow, or end-to-end automation with SageMaker services, • Ability to mentor others and work independently, • Strong communication skills Nice to Have • Production experience with any of the following is a plus: GenAI, LLMs, Recommendation Engines, AWS offerings for AI and ML including SageMaker, Bedrock, Lex, • Knowledge of relevant regulations in AI/ML and incorporating compliance into MLOps processes, • Bachelor’s degree or higher in computer science, engineering, or information systems \n #LI-Remote Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at _.

At The Multiplayer Group (MPG), we create world-class multiplayer experiences through Co-Dev and Full-Dev partnerships. Our people-first culture supports a diverse, global team in a welcoming and flexible work environment. With teams spread worldwide, we prioritise connection—both online and in person. Giving back is central to who we are, with a focus on local communities, education, and sustainability. We are looking for a highly experienced, fully remote Principal Backend Engineer. You’ll be UK or EU based and you’ll be working in a team of backend engineers across MPG to drive the delivery and deployment of backend services for industry-leading game projects. You will act as a key engineering contact for external co-dev clients, collaborating with the Technical Director and Lead to architect solutions that balance technical idealism with production pragmatism. You will define the technical architecture for major game titles, ensure implementation quality, and mentor the engineering team. • Experience in game development and having shipped multiple live games (or similar products) with a high concurrent user count, • Proven experience architecting distributed applications with a high concurrent user base (hundreds of thousands), ideally proven with a released title or robust load tests, • Production experience with at least one of Java, Golang, C#, C++, Kotlin; experience with Python, Node.js and React is desirable, • Solid database experience, with the ability to work effectively with both SQL and NoSQL databases, • Proven experience with cloud platforms: Amazon Web Services, Google Cloud and Microsoft Azure; having an AWS Certification (Professional level) would be advantageous, • Proven experience building backend infrastructure using infrastructure as code tools, e.g. Terraform, • Proven experience using Kubernetes and Docker to build products at scale, • Ability to autonomously architect and design online services based on a specification, • Ability to navigate changes calmly and manage multiple pieces of potentially confidential information, • Excellent time management and ability to work autonomously, • Clear and effective communicator with the ability to discuss technical strategy with non-technical stakeholders and adapt to client needs, • Experience building CI/CD pipelines from scratch or improving existing client solutions, • Awareness of security/cheating implications of technology choices, • Experience using Gen AI for code generation Beneficial • Deep expertise in at least one relevant area of backend technology, e.g. DevOps, Microservices, Cloud Architecture, • Understanding of how a backend service integrates with the game - experience with Unreal or Unity would be useful but not required, • An understanding of how to use LLMs to process and query structured and unstructured data Responsibilities • Individual contribution: architect systems, write code, deployments, etc., • Act as the engineering contact point between MPG and the client, working alongside the Project Manager and Engineering Leadership, • Translate client requirements into tasks for yourself and team members, • Make the right trade-offs to design systems based on performance, time, and budget, • Mentor and delegate pieces of work to other team members to help develop them as engineers, • Create estimated cost spreadsheets for online services based on projected concurrent users, • Cultivate engineering best practices across teams: modular design, code quality, testing, • Work with the Lead and Production to communicate risks, benefits, and future roadmaps, • Active mentorship of the engineering team towards professional accreditation (e.g., AWS Certification) and technical leadership. Our Benefits Flexible working: Remote-friendly long before it was the norm, with core hours that support both great work and real life. Support & wellbeing: Mental health first-aiders, therapy and coaching via Myndup, plus private medical insurance to help you stay healthy and supported. Pension & life cover: A strong pension plan and life insurance to support your future and protect your family. Time for you: Minimum 25 days’ holiday, a paid winter break, and 3 volunteering days each year to give back to causes you care about. Parental leave: Family-first policies that support parents and caregivers with flexibility and balance. Levelling up: Annual L&D budget, expert talks, game jams, and mentoring opportunities to help you grow your skills and career. Role Information: EN Studio: The Multiplayer Group Location: Europe, United Kingdom Area of Work: Game Development Service: Create Service Type: Code Employment Type: Permanent Fully Remote Working Pattern: Full Time Keywords Studios is dedicated to following a well-established Equal Opportunities Policy. We endeavor to create a workplace which provides for equal opportunities for all employees and potential employees. PERSONAL DATA PROTECTION POLICY Keywords Studios is strongly committed to protecting your personal information. By sending your CV/Resume, you are agreeing to our terms and conditions and consent to your data being managed and retained in accordance with our data privacy and retention policy _.

If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.

As a Data Software Engineer (Python Spark AWS) you will earn a competitive package:. Data Software Engineer (Python Spark AWS) opportunity. Data Software Engineer (Python PySpark) Remote UK to £95k.

Shape the Industry and Your Career At Cytora, now an Applied Systems company, we’re transforming how insurers and brokers connect, operate, and grow. Our AI-powered platform is driving smarter decisions, greater efficiency, and seamless collaboration across the global insurance ecosystem. As we accelerate digital transformation, we’re looking for curious, collaborative minds ready to help shape what’s next. If you’re energized by innovation and inspired by impact, your future starts here. Position Overview As a Senior Backend Engineer at Cytora, you will be joining a backend functional team. As such, the teams are small (maximum 4/5 people) and work independently of each other. Each team has a technical lead and a product owner steering the team to make sure we deliver the right features. Regardless of team you join, you will be prototyping, implementing, shipping and supporting features that are changing the insurance industry. The core of our product is to digitize risks and to accomplish that we rely heavily on Generative AI. Our engineering and product teams are distributed across Europe. Below you can find the required and preferred qualifications. We made this list quite extensive so that you also get a taste of our tech stack! This role requires experience with: Git (we use GitHub) Python (buzzwords: msgspec, httpx, pydantic, fastapi, structlog, sqlalchemy, alembic, jinja2, pytest, ruff, mypy) Mypy (we use mypy, a lot. We also welcome candidates with experience with other static type checkers!) Rest APIs (we use openapi spec to document our apis) Relational Databases (we use Postgres) Docker (we use Docker to package our code, and docker-compose to run it locally) AWS Lambda (The vast majority of our backend code is deployed as AWS Lambda functions) AWS S3 AWS RDS AWS API Gateway AWS SQS AWS SNS AWS SES This role benefits from experience with: Redis GCP VertexAi (we use gemini a lot) GCP BigQuery (we use it to power our analytics) OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering Kubernetes CircleCI DataDog Auth0 Role Based Access Control JsonSchema Pusher (we use it to push notifications to our Frontend Web App) LocalStack (we use it to mock AWS services locally) Terraform Why Cytora We’re building the future of insurance and we’re doing it together. At Cytora, now an Applied Systems company, we’re driven by a shared mission to transform the industry through AI-powered solutions that deliver smarter decisions, stronger connections, and better outcomes. We foster a culture that values who you are and recognizes that you’re more than your role: you’re a teammate, and you matter. We thrive on the strength of our diverse experiences and celebrate the uniqueness each person brings to work every day. We believe flexibility fuels performance. Whether remote, hybrid, or in-office, we empower our teams to work in ways that work best for them. Here’s what you can expect when you join us: Competitive salary Flexible working and remote options Professional development budget & conference access Annual company retreats A mission-driven culture that puts people first Location Cytora are a remote-first company. For this role you can be based anywhere in the UK or Ireland provided you have fluent spoken and written English, and have the permanent right to work without requiring visa sponsorship. AI Utilization We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, candidate screening, interviews, and final decisions are conducted by real humans. EEO Statement Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.

Senior DevOps Engineer (Perm, UK, Remote) This is a permanent full time remote opportunity for those based in the UK. About Nearform Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact. Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart. As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products. Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems. About the Senior DevOps Engineer Role: As a Senior DevOps Engineer at Nearform, you will be responsible for designing, implementing, and maintaining cloud infrastructure to support scalable and reliable applications. Your key responsibilities will include: • Developing and managing cloud-based infrastructure on AWS, Azure, or GCP., • Creating and maintaining deployment architectures and continuous delivery pipelines., • Designing high-availability and fault-tolerant solutions for applications., • Implementing monitoring frameworks, including dashboards, alerts, and escalation processes., • Automating infrastructure provisioning and management using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation., • Managing containerized applications and orchestrating deployments using Kubernetes., • Ensuring security best practices are applied across CI/CD pipelines, cloud infrastructure, and microservices., • Optimizing system performance and scalability through observability and proactive monitoring., • Collaborating with development teams to streamline deployment workflows and improve DevOps processes., • Advising clients on best practices for cloud infrastructure, deployment automation, and system security., • Engaging in technical discussions with stakeholders and supporting project execution to ensure timely delivery., • Assisting with the analysis of client requirements., • Working with and supporting Technical Leaders in project execution and timely delivery., • Collaborating with client teams. What we are looking for in this person • Significant experience delivering at a Senior Engineer level. Our Seniors typically have at least 6 years’ commercial experience., • Practical experience and knowledge of developing real-world solutions., • Practical experience of delivering in an agile environment., • Strong experience managing and automating cloud-based infrastructure on AWS, Azure, or GCP., • Proficiency in infrastructure as code (IaC) using Terraform or CloudFormation., • Hands-on experience with containerization and orchestration tools, ideally Kubernetes (K8s)., • Experience developing and maintaining CI/CD pipelines, ideally with GitHub Actions or Jenkins., • Scripting and automation expertise, preferably with Python., • Experience with observability tools and monitoring frameworks for system performance optimization., • Solid understanding of security best practices across cloud infrastructure, CI/CD pipelines, and microservices., • Excellent communication and collaboration skills., • Professional proficiency in English. Benefits & Perks • Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance., • Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem!, • Paid Time Off Package - We offer an annual leave of 25 days plus public holidays. We also offer sick leave, marriage leave and many more., • Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 (equivalent in GBP) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join., • Training and Development Allowance - We understand the importance of continuously learning so we offer an allowance of up to €1000 (equivalent in GBP) you can use to upskill yourself., • Healthcare - It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team., • Pension & Insurances - We offer a pension match of up to 5% and Income Protection and Death in Service for peace of mind. Our Interview Process Talent Call (30 mins via Zoom) An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment. Technical Assessment (1 hour via Zoom) A live coding challenge with one of our trained interviewers. You'll be asked to build a working solution to a problem via screen sharing, demonstrating your DevOps engineering expertise, problem-solving ability, and coding best practices in a real-time environment. Hiring Manager Interview (45 mins via Zoom) A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join. There may also be an additional interview with the client depending on the project If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you. Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning. Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence. If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.

Role: Cloud Developer (GCP) Duration: 6 months Location: Remote (UK) MUST BE BASED IN THE UK WITH VALID VISA Rate: £450-500pd Status: Outside IR35 Xpertise Recruitment is looking for a Cloud Engineer for a fintech organsation. We're looking for proven experience deploying and managing GCP infrastructure using Terraform or similar infrastructure as code services. You will be working on a transformation project, setting up their Google Cloud environment. What we're looking for: • Expertise in automating GCP infrastructure deployments with Terraform or equivalent IaC tools., • Proficient in implementing robust security practices for GCP, including secure secrets management., • Hands-on experience in deploying and orchestrating workloads on public cloud platforms, encompassing both virtual machine management and containerized applications within Kubernetes., • Familiar with CI/CD pipelines, particularly leveraging GitHub Actions for continuous integration and delivery., • Skilled in utilizing YAML, Python, and Shell scripting for automation and configuration., • Competent in establishing comprehensive monitoring solutions for performance and cost optimization., • Practical knowledge of cloud financial management and FinOps principles. Apply now and we will be in touch soon.

Verify solutions using Python with standard data science libraries and statistical methods. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmo

You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Verify solutions using Python with standard data science librari

Pega CDH Consultants Inside IR35 Remote in UK Initial 6 month engagement emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We power progress, solve challenges, and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication to delivering the optimal service for our clients. Our commitment is not just towards our clients — we aim to foster a positive and equitable working environment with our consultants and colleagues, which stems from our core values: Confident, Dedicated, Responsible, Genuine. We are building a best-in-class Next Best Action (NBA) decisioning capability and are hiring experienced professionals to design, scale, and optimise decisioning frameworks across multiple markets. This is an opportunity to work at the intersection of data, AI, and customer engagement, delivering personalised, real-time experiences in a regulated environment. We are hiring for: Lead Decisioning Expert Own and govern the NBA decisioning framework across markets. Key Skills: Pega LDA (mandatory) Deep Pega CDH expertise (NBA Designer, decision strategies) Decision frameworks (eligibility, arbitration, prioritisation) Omni-channel decisioning (real-time & outbound) Decision governance, explainability, regulatory awareness Strong stakeholder management & Agile delivery Lead NBA Data Scientist Design and optimise ML models driving NBA decisioning. Key Skills: Pega CDH adaptive models Strong MLB / RTIM / arbitration logic knowledge Advanced Python & ML development A/B testing, uplift measurement, model governance Feature engineering & real-time vs batch decisioning Git, Agile, cross-functional collaboration NBA Decisioning Specialist Deliver decisioning use cases and personalisation strategies. Key Skills: Pega PCDC (mandatory) Pega CDH / NBA Designer experience Decision logic configuration (eligibility, prioritisation, suppression) Testing, simulation & performance optimisation Strong business-facing communication Nice to have: Adobe AEP, Financial Services, multi-market experience Data Integration & System Engineers Build scalable data pipelines supporting decisioning systems. Key Skills: GCP (BigQuery) & Hadoop/Cloudera (mandatory) Spark, Scala, Python, SQL Data pipelines (batch & near real-time) Data modelling, governance & CI/CD Pega CDH integration experience QA / Test Specialists Ensure quality and performance across data and decision platforms. Key Skills: Hadoop & GCP (mandatory) Test automation (Pytest, Robot Framework) Python, SQL, Bash CI/CD, Docker, Jenkins ISTQB certified Our People The ideal consultants will share our values and be aligned with our ways of working. As your career progresses, you can expect to work across all areas of the project lifecycle, from strategy to implementation. This will provide you with a broad base of experience from which to build an outstanding career. The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle. We pride ourselves on; Providing our people with a supportive culture, rooted in our values and driven by our purpose. Promoting a culture of inclusion, collaboration, well-being, and learning and development. Providing increased agility and flexibility within our hybrid working model Investing in employees’ growth through ongoing training and development Autonomy to take ownership of projects, making decisions and demonstrating individual expertise Providing an transparent performance and career management experience. Our consultants are integral to delivering successful consulting engagements, addressing our clients’ most pressing business challenges, and build lasting value in disciplines such as: Solve sophisticated, ambiguous business, change and technology problems, bringing structure and meticulous analysis and planning, acting, and taking decisions with little strategic direction Build, develop and sustain trusted senior client relationships in the C-suite by remaining highly attuned to client needs Drive, enable and support the business, partnering with our leaders, clients, and consultants across our practices to take the best of emagine to our clients through opportunity identification/qualification, solution development/presentation Interested? At emagine, we are committed to building an international and diverse team by embracing our different backgrounds. If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential. “emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin

Role – Confluent Consulting Engineer Technology – Apache Kafka, Confluent Platform, Stream Processing Location –(Remote) UK Job Description Your role: As a Confluent Consulting Engineer, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions. Required: · 5+ years of hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) · Strong proficiency in Java, Python, or Scala · Solid understanding of event-driven architecture and data streaming patterns · Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure · Familiarity with Docker, Kubernetes, and CI/CD pipelines · Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference: · Experience with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center · Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink · Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC · Confluent certifications (Developer, Administrator, or Flink Developer) · Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes · Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns · Exposure to monitoring tools (Prometheus, Grafana, Splunk) · Experience with data lakes, data warehouses, or big data ecosystems Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: · High analytical skills · A high degree of initiative and flexibility · High customer orientation · High quality awareness · Excellent verbal and written communication skills

Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy: We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role We’re building a more intelligent, scalable product catalogue across multiple markets. Core capabilities like auto-categorisation and brand detection already exist, but they are not yet connected into a system that consistently drives quality, discovery, and growth. This role owns that system. The Senior Applied ML Engineer - Catalogue Intelligence is responsible for building the machine learning systems that power OnBuy’s catalogue decisioning engine. Working in partnership with the Head of Seller Solutions, who defines catalogue rules and commercial logic, you will design and deploy production-grade systems that automatically improve: • Product categorisation, • Product data quality and completeness, • Pricing competitiveness insights, • Catalogue coverage and selection, • Product discoverability This is a hands-on, production-focused role where outputs directly modify the live catalogue and materially impact GMV, conversion performance, search, and discovery. Core mission Turn catalogue rules and commercial logic into automated, data-driven systems that continuously improve discovery, data quality, pricing competitiveness, and revenue outcomes. What you’ll be responsible for You’ll take ownership of how product data is structured, validated, and used across the platform. This includes: • Improving how we classify and understand products at scale, • Raising the overall quality of catalogue data and defining what “good” looks like, • Ensuring product data supports effective search, filtering, and discovery, • Identifying gaps in our catalogue and surfacing opportunities for growth, • Improving how our catalogue performs across external channels, • You’ll build and evolve the systems and decision logic that enable this, and iterate based on real-world performance and data. You’ll work across: • Structured data (catalogue attributes, GTINs, taxonomy), • Unstructured data (text and images), • Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where appropriate. The focus is on shipping practical systems quickly, validating them with real data, and improving them over time. You’ll work closely with engineering, product, and analytics, but you’ll be expected to own and deliver the core logic yourself. This role is not focused on research or offline modelling. You’ll be expected to build systems that operate in production and directly influence how products appear and perform on the platform. Experience & Skills • Experience building and shipping production data or ML systems with measurable business impact, • Strong Python and SQL skills, with the ability to work across data pipelines end-to-end, • You should be comfortable applying modern approaches such as LLMs, multimodal models, and information extraction techniques, and taking them from experimentation into production with proper evaluation, monitoring, and cost control., • Experience working with messy, unstructured or semi-structured data (e.g. text, images, product data), • Ability to design systems that make decisions, not just predictions, • Strong judgement in balancing accuracy, risk, and business impact, • Experience with ecommerce or marketplace catalogues is a plus, but not required. How you’ll operate • Take ownership of problems end-to-end, from idea through to production impact, • Build systems that are scalable, testable, observable, and auditable, • Design automation with confidence thresholds, monitoring, and feedback loops in mind, • Maintain clear documentation, evaluation frameworks, and versioning for models and logic, • Work pragmatically, favouring simple solutions that deliver impact quickly, • Communicate trade-offs clearly to technical and non-technical stakeholders, • You should be comfortable working in environments where data is incomplete, inconsistent, and constantly evolving., • You’ll be working across cloud-based data systems (GCP), building and deploying data pipelines and production ML workflows. Experience with orchestration tools (e.g. Airflow or similar), CI/CD, and model deployment practices is beneficial. The salary on offer for this role is £65000- £75000 depending on experience. We also offer the following benefits: • Company Equity- In return for helping us to grow, we’ll offer you company equity, meaning you own a piece of this business we are all working so hard to build., • 25 days annual leave + Bank Holidays, • 1 extra day off for your Birthday, • Employee Assistance Programme, • Perks at Work benefit platform, • Opportunities for career development and progression This role is UK remote or Hybrid if you live near our Manchester or Bournemouth's offices. Please only apply if you have the full right to work in the UK Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. Just a heads up — we never use WhatsApp. or any messaging apps to contact candidates If someone reaches out this way, it isn’t us and let the recruitment team know.

We are open to hiring at multiple levels for this role, depending on experience, impact, and demonstrated ownership. While this role is level-agnostic, it is best suited for engineers with experience owning production systems and working in highly ambiguous problem spaces. Software Engineer About the company: The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi. We are hiring Software Engineers to accelerate our mission. About The Role: At KoBold, software engineers have the unique opportunity to embed directly with their users and learn the ins and outs of mineral exploration and geology while developing state of the art technology solutions. Unlike traditional software engineering roles, we don’t simply ship code and passively wait for feedback about its utility: our userbase includes our colleagues… and ourselves! While there are real technical challenges in making mineral exploration data broadly searchable and accessible to both humans and machines, we believe that solving these technical challenges cannot be done without “getting our hands dirty” – sometimes literally! – by embedding directly with the exploration teams and even occasionally (~once a year) joining our colleagues in the field, be it in Zambia, Canada, or Arizona, to experience the impact of our software in real time. As a Software Engineer on the Data Systems Engineering team at KoBold, your main role will be to enable systematic exploration and materially improve exploration success rates by making mineral exploration data broadly accessible to humans and machines. Past projects have included SIP (the Structured Ingest Pipeline), DataKit generation (producing curated sets of data on demand), and RAG (Retrieval Augmentation Generation, utilizing natural language processing on unstructured data). Our tech stack is primarily python and includes Django, React, AWS, and additional technologies like Retool and Prefect. Your work will empower KoBold to unlock invaluable insights and streamline intricate scientific processes. Collaborating with our exceptional team of data scientists, geologists, and other software engineers, you will have the opportunity to tackle complex problems head-on and collectively pave the way for the discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world. This role be responsible for: • Deep engagement with exploration geologists and data scientists, continual learning about mineral exploration, and tailoring technology development to the needs of exploration project scientists, • Building data pipelines and tooling for deriving advanced human and machine insights from exploration data, often leading a small group of software engineers to successful delivery, • Developing expertise in KoBold’s Data Systems and deeply understanding how they impact exploration, • End-to-end ownership of projects from design to implementation and testing to continued engagement with colleagues on exploration teams using your solutions, • Responding well to design and code feedback, also providing feedback to teammates, • Operationally managing the team’s services and assisting scientific colleagues with our tooling Qualifications • 4+ years of software engineering experience, ideally building production cloud data systems, • Proficiency with Python, • Ability to write production-quality code that is correct, readable, well-tested, scalable and extensible, • Skilled in large-scale system design, • A track record of taking ownership from definition of the problem and delivering projects with demonstrated impact in an iterative manner, • Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field., • Ability to explain technical problems to and collaborate on solutions with domain experts who are not software developers. A strong communicator who enjoys working with colleagues across the company., • Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities., • Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. Nice to Haves • Experience with modern frontend frameworks such as React, • Experience with geospatial data and building map-based experiences, • Familiarity with containerization and container orchestration platforms, such as Docker, AWS ECS, Kubernetes, etc., • Formal education or job exposure to natural sciences The UK base salary range for this full-time exempt position is $120,000 - $210,000 USD. Location: Remote, Candidates can be located anywhere in the United Kingdom. _

Company Overview IMS is a leader in connected car and telematics services. We provide services and analytics to insurers, governments, and enterprises. We are proud to be the developer of the industry-acclaimed, cloud-based connected car platform. From insurers and governments to dealerships and everyday drivers, we’re proud to produce technology that makes driving - Safer. Smarter. Greener. Job Description The Senior Platform Engineer is a technical leader responsible for designing, operating, and continuously improving the AWS serverless data platform. This role sits at the intersection of infrastructure, software engineering, and developer experience — owning the reliability and scalability of the platform while actively enabling product and data engineering teams to build and ship confidently. Key Responsibilities Platform Tooling & Self Service • Design and maintain self-service tooling, templates, and scaffolding that allow engineers to provision and deploy serverless resources independently., • Own and evolve internal developer platform (IDP) capabilities — including CI/CD pipeline templates, Infrastructure as Code (IaC) modules, and reusable Lambda/Step Functions patterns., • Reduce cognitive overhead for engineers by abstracting platform complexity behind well-documented, opinionated interfaces., • Partner with engineering teams to gather feedback and continuously improve the developer experience. Engineering Standards & Technical Documentation • Produce and maintain high-quality technical documentation, runbooks, and architectural decision records (ADRs) for the platform., • Define and evangelise engineering standards for serverless development, including naming conventions, logging patterns, error handling, and observability., • Lead or contribute to internal tech talks, workshops, and onboarding programmes to upskill engineers on platform capabilities. Collaboration & Stakeholder Engagement • Act as a trusted technical partner to product and data engineering squads, embedding platform expertise into delivery teams as needed., • Define clear SLAs and SLOs for platform services and communicate them to consuming teams., • Triage and resolve platform-related blockers rapidly, prioritising unblocking engineers over reactive maintenance work. Security & Compliance • Ensure platform infrastructure adheres to security best practices including least-privilege IAM, encryption at rest and in transit, and secrets management., • Collaborate with security and compliance stakeholders to maintain audit readiness and address vulnerabilities promptly., • Embed security considerations into platform tooling so that secure defaults are the path of least resistance for engineers. Infrastructure as Code & Delivery • Own and evolve IaC for all platform infrastructure using tools such as Terraform, AWS CDK, or CloudFormation., • Enforce GitOps and CI/CD best practices across platform delivery, ensuring changes are peer-reviewed, tested, and deployed safely., • Champion progressive delivery practices — including feature flags, canary deployments, and rollback mechanisms — across the platform. Continuous Improvement • Drive a culture of continuous improvement through regular platform reviews, blameless post-mortems, and iterative delivery., • Measure and report on engineering metrics to demonstrate and drive improvement., • Contribute to the broader engineering community through internal knowledge sharing, cross-team collaboration, and participation in guild or chapter activities. Key Requirements • WS Serverless & Cloud Architecture Deep, hands-on experience with the core serverless stack — Candidate should be able to design pipelines with cost, latency, and failure modes in mind, not just get things working. Knowledge of AWS IAM, VPC, and security patterns is equally important., • Python (Primary) & Java (Secondary) Strong Python skills are essential — not just scripting, but writing production-quality, testable, maintainable code. Candidate needs to be credible enough to review Python code written by the teams they support. Java familiarity matters for legacy pipeline work and cross-language debugging, but doesn't need to be at the same depth., • Infrastructure as Code Proficiency in Terraform is a must. Candidate should be building reusable, well-structured IaC modules — not one-off configurations — and comfortable working in a GitOps model with peer-reviewed, pipeline-deployed infrastructure., • CI/CD & Developer Platform Thinking Experience building and maintaining CI/CD pipelines The key mindset here is thinking about other engineers as your customers, and building tooling that reduces friction and cognitive load., • Observability & Operational Maturity Comfortable with CloudWatch, and ideally a third-party observability tool. They should understand SLOs and error budgets beyond the theory — and know how to design alerting that's actually actionable rather than noisy., • Communication & Developer Empathy Given the developer enablement focus, this is crucial. Candidate needs to write clear documentation, give useful feedback in code reviews, and explain complex infrastructure decisions to non-platform engineers. Strong written communication matters as much as verbal., • Security Mindset Practical knowledge of least-privilege IAM, secrets management and how to bake secure defaults into platform tooling so teams don't have to think about it. Why should you join us? • Flexible remote working options., • Flexible holiday scheme (unlimited vacation) to really make the most of your time and wellbeing., • 'Work From Anywhere' Policy - work almost anywhere in the world for 30 days per year!, • Employee Assistance Program and an enhanced maternity/paternity package, • We want to see you grow and do great things! We’re committed to your personal and professional development., • Funded training opportunities., • Auto-Enrolment Pension & Private Medical Insurance., • Cycle to Work and Car Maintenance Salary Sacrifice discounts!, • Kudos Hub - a peer-to-peer recognition system, where you can recognise others using points. These points can be collected and redeemed against a huge catalogue of rewards., • We’re an innovative technology leader with plans for growth in the global telematics industry. These are some exciting times! *Please note that while we accommodate a remote working environment, this hire will need to be based in the United Kingdom.

Geospatial Data Engineer Job Description Job Purpose: To enhance MapAction’s data processing and automation capabilities Location: Remote but based in the United Kingdom. Salary: £36,000- £40,000 per annum, subject to experience Contract: Full time, substantive position for 12 months. Start ASAP. Reports to: Head of Data & GIS The Opportunity Are you a Data Engineer eager to use your skills to help people in humanitarian crises? At MapAction, you can do exactly that. We are offering an exciting opportunity for a Geospatial Data Engineer ready for their next challenge in a fast-paced, dynamic humanitarian response organisation. You’ll join our Technical Team to support the delivery of geospatial data processing and automation projects, working alongside an incredible community of expert volunteers and colleagues. In this role, you’ll contribute to four core areas of MapAction’s mission: emergency response, preparedness, anticipatory action, and training. These are at the heart of everything we do—and we’d love for you to be part of it. Why MapAction? MapAction is a leading humanitarian mapping charity delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector and are a technical partner of the United Nations and the Red Cross/Red Crescent Movement, as well as Non-Government Organisations such as World Central Kitchen. MapAction increasingly focused on helping Civil Society Organisations, regional entities and national ministries. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. We have an exciting and ambitious new strategy which will see us help reduce vulnerability in emergencies for those at greatest risk through supporting local technical and emergency leadership and promoting the exchange of well analysed data. A particular area of focus will be on the use of Anticipatory Action prior to an emergency. What will you do? You will be expected to conduct and automate data processing (extraction, transformation, loading) from various online sources. Requirements will be defined in collaboration with MapAction staff, volunteers or partners. Working with external partners such as UN agencies, NGOs and Disaster Management Agencies is a key part of this position. Main Responsibilities • Conduct and automate data collection and processing scripts, • Create and maintain optimal, performant data pipeline architectures, both internally and externally, • Propose improvements to infrastructure, schemas, platforms, toolchains and configurations, • Ensure find-ability. availability, scalability, reproducibility, accessibility, interoperability and reusability of all data-products, • Assist in the automation, provision and management of development environments, source-code, build-tools, pipelines and deployments, • Support ad-hoc Data Processing during MapAction’s Emergency Responses in collaboration with MapAction’s GIS Coordinator and Volunteer team, • Support data-related project scoping in collaboration with MapAction’s Head of Data & GIS, • Support internal systems maintenance and administration in collaboration with MapAction’s IT Support Engineer, • Engage with MapAction’s Volunteer team on data-related projects, • Support development of Data Engineer and Data Science training materials in collaboration with MapAction’s Head of Capacity Building and Volunteer team What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Ability to improvise solutions for emergency response teams Essential: • Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Technology or a related field, • At least one year of professional experience working in the area of data engineering, • Experience and proficiency working with Python and Jupyter Notebooks, • Experience working with geospatial data (raster and vector), • Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs), • Data pipeline design skills, • Knowledge of cloud platforms like GCP, AWS or Azure, • Experience and understanding of CI/CD pipelines, • Collaborative code management using Git & GitHub Desirable: • Experience with QGIS or ArcGIS, • Experience with Systems Engineering, • Understanding of the Software Development Life cycle (preferably Agile), • Thorough grounding in containerisation e.g. Docker, Kubernetes, • Shell scripting, • Experience with BI, • An interest in software-engineering or data-science e.g. ML / DL / AI / Statistics, • Project management experience, • Humanitarian knowledge/experience Additional Information • This is a remote position and you will be expected to attend some weekend training events throughout the year (camping at various venues around the UK). Travel expenses are paid and reasonable time off in lieu provided., • This is a full time position for 12 months with a possible extension to be confirmed end of 2026, • Required to work remotely and to attend team days near the MapAction office in Oxfordshire at least 6 times a year, at own expense, • 30 days holiday (pro rata) with a workplace pension and also paid training opportunities to help further your career, • Must have the right to live and work in the UK - MapAction is unable to consider candidates who do not already hold appropriate permissions and can not help facilitate a relocation, • Part time of 4 days a week will be considered, please state when applying if you would like 4 or 5 days a week., • Contract may be extended if additional funding is secured This is an important role in a small, highly specialised charity and an appreciation of, and affinity with the humanitarian purpose of the charity is essential, as well as a willingness to take up additional tasks outside of the normal role when needed. Equal opportunities policy MapAction is an Equal Opportunities employer. All employees have a personal responsibility to promote and support measures designed to create a working environment which is free from harassment or discrimination on the grounds of gender, marital status, age, race, religion, disability, sexual orientation, membership of the Traveller community of HIV & AIDS status. MapAction also positively encourages women and those from the BAME community to apply. How to apply: Please provide a CV and cover letter that sets out how you meet the required competencies for the role, this is a mandatory requirement for this position. All applications should be made via our website and GoHire. Deadline for applications is 5th January 2026 however we are running a rolling recruitment and will interview any suitable candidates as soon as they apply.

3 billion people across the world work in frontline jobs. Yet, despite rising costs and staff shortages, frontline organisations are still left to choose between paper, Excel, and WhatsApp, or decade-old workforce management solutions to take care of the most important part of their businesses - their people. Enter Sona: the next generation of AI-native, frontline workforce management. We've built an end-to-end platform covering Scheduling, HR, Payroll, and Communications that gives the largest frontline organisations everything they need to staff more intelligently and empower their teams. In under 5 years, we've already made a deep impact on the lives of over 100k frontline workers and the operation of their organisations, grown the team to 140+, and secured over $100M in funding from notable VC's, including our Series B led by N47 alongside Felicis, Northzone, and Gradient Ventures (Google). It's a hugely exciting time to be joining the team as we're still small enough that you'll have a significant impact on the company's growth trajectory and culture, yet large enough to have a great structure, experienced leaders and world-class benefits in place. More on working at Sona here. About the Role You'll join a two-person ML team that has built a production forecasting system running daily half-hourly predictions across multiple restaurant chains. Our forecasting models enter into a complex environment with key machine and human decisions being made on their predictions, facing feedback loops and a highly variable environment. The system works - the challenge now is scaling it from a handful of clients to 100s. You'll own client launches end-to-end: validating data, selecting models, running UAT, going live, and monitoring performance afterwards. You'll join client calls, build relationships, and understand what actually matters on the ground - not just whether the model is accurate, but whether the kitchen prepped the right amount of food. You'll love this role if: You enjoy taking ownership of the product and outcome end-to-end. Machine learning at Sona is a success if we have happy clients running successful businesses as well as the models which are best in industry You have a focus on solving the problem and when given the choice between "complicated and shiny" vs "get something simple in front of a user", you choose the latter You're excited by working with our industry experts to really understand what's happening in our client's businesses and the realities of working there You see beyond the data to the world that resulted in this data generating process, the issues that come with it and the opportunity that it gives us You're experienced in and excited by taking a machine learning project from business idea to deployed production system You default to AI tools for development. You use Claude Code, Cursor, or equivalent daily - not as a novelty, but as your standard working mode Our role won't be for you if: You're hoping to do research and publish research papers as a key element of the work that you do You're looking to move into a less technical, more managerial role You're keen to get your hands on fancy new technology X and apply it to something You prefer to work on one thing and make it perfect before moving on - the role requires pragmatism, parallelism, and iterative improvement Requirements You'll need these skills/experience to be successful: Production ML experience, with a track record of deploying ML systems that handle messy data, fail gracefully, and need monitoring Strong ML fundamentals - you can reason about trade-offs in practice, explain why certain features matter more than model selection, and make good judgement calls when something unexpected happens Client-facing deployment experience - you've personally owned an ML deployment end-to-end and are comfortable on calls with non-technical stakeholders Strong programming skills in Python, including the ML/scientific Python stack (e.g. numpy, scikit-learn) Daily use of AI development tools (Claude Code, Cursor, Copilot or equivalent) as your default working mode It would be great if you have experience in some of these areas too: Forecasting, time-series, or demand-planning - someone who understands lag features, calendar effects, and evaluation integrity intuitively will ramp significantly faster Our stack: Python, scikit-learn, MLflow, Docker, GCP A small team where ownership is wide and context-switching is normal Benefits Salary: £95,000-£110,000 Fully remote (European timezones) Share options 35 days annual leave (25 days standard plus 10 flexible public holiday days) Extra day of leave for every year of service Pension contributions matched up to 5% Comprehensive health insurance Enhanced parental leave & pay Co-working space stipend for those based outside London Bi-annual all expenses paid team retreats The latest Macbook and equipment budget for your home office Professional development budget Unlimited free books Note: this represents a typical benefits package for a UK-based, full-time employee. Exact details may vary based on location and employment type but we try to be as fair as possible to all of our team members. Please ask your contact in the Talent team to clarify the available benefits for you.

Are you a Frontend Software Developer wanting to use your skills to help people in a humanitarian crisis and ultimately help save lives? MapAction can enable you to volunteer to do just that. Volunteers have been the heart of the MapAction for over 20 years but the range of skills needed continually evolves. Now we are looking for enthusiastic fFrontend Software Developer professionals who have a desire to commit to a great team and to help MapAction make a difference that has a lasting effect on vulnerable communities. MapAction works with a range of humanitarian partners, from local organisations who are closest to the ground to a range of global UN partners. Come and be part of something that is exciting and impactful! MapAction is a leading humanitarian mapping charity, delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector, and are a technical partner of the United Nations, Non-Government Organisations and Civil Society Organisations, the Red Cross, Red Crescent Movement, regional entities and national authorities. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. Responsibilities As a volunteer, we will be able to work with technical staff and volunteers on different opportunities. Once your onboarding is complete, you will be able to choose the tasks and projects that best fit your skillset and interests. Here below some activities that our data engineer volunteers can support with: • MapAction external projects that require a FrontEnd Software skillset (e.g.: hazard exposure platforms, conflict incident visualisation, custom data visualisation tools, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • Working with Data Science and Data Engineering volunteers to enhance software used in data processing, • Support internal systems maintenance in collaboration with MapAction’s IT Support Engineer, • Attend and / or represent MapAction on technical conferences, • Train other volunteers or external organizations on Data Engineer tools and processes What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Time to commit to MapAction, for more details on the time commitment, please refer to the “What does it mean to be part of the MapAction team?” Essential: • Three or more years of professional experience working in a software development team, as a developer, tester or other similar role, • For web development: experience in HTML, CSS, JavaScript, React and ideally at least one server side language (PHP, Python etc)., • Experience and proficiency working with Python, • Experience of or demonstrated willingness to learn testing regimes including unit and regression testing and continuous integration., • Project management experience. Experience in understanding partner needs and requirements, in particular working with non-technical clients., • Collaborative code management using Git & GitHub Desirable: • Experience of participating in a volunteer organisation or open source projects., • Experience of developing with ESRI’s GIS product suite and/or other geospatial technology., • Experience with Systems Engineering, • An interest in data-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience. Being part of MapAction means entering a close-knit community of highly skilled and committed and experienced professionals in different sectors. It means using your unique skills to help prepare for, anticipate, or respond to humanitarian emergencies, enabling our partners to provide life-saving support. At MapAction, training and team building are at the heart of our organisational culture. We have frequent meet-ups online and in person where paid staff and volunteers get together for training opportunities and skill-sharing, to strengthen our service offer. As a volunteer, you can participate in all levels and areas of the organisation, working alongside our colleagues at various UN agencies and/or other humanitarian partners. Volunteers also steer the organisation's strategic direction and are involved with designing and implementing our operational capacity. You will have the opportunity to travel, whether that’s at training events, project work abroad, missions or representing MapAction at a conference. Availability for projects, including in-person deployments • MapAction expects a high level of commitment by volunteers to make themselves available to deliver projects, whether these projects are planned or emergency missions, remote or in-person, one-off tasks or longer term commitments., • Deployable volunteers are expected to seek a commitment from their employer (if applicable) to permit time off (paid or not) for deployments when necessary., • For emergency deployable volunteers, there must be arrangements in place for a quick decision to be taken on availability, including agreement from employers/family if required, in the event of all alerts. This should normally be within 12 hours of the issue of the alert, depending on time-zone., • For non-emergency deployments and projects logged on the tasking grid, volunteers must respond to a request for assistance (whether yes or no) by the deadline specified on the grid., • Volunteers are expected to put themselves forward for at least three substantive (i.e. at least two days work) tasks every year, and are normally expected to contribute at least 10 days of voluntary effort (excluding training) to MapAction every year., • It is the duty of all volunteers to do their best to make themselves available for any opportunity relevant to their volunteer role, and avoid perceptions of volunteers selecting only more ‘attractive’ tasks or missions. It is essential that MapAction is able to deliver on all tasks it commits to, and it relies on volunteers to be prepared to step up for a wide range of activities. As a member of the team, you will be expected to participate in at least 6 internal weekend training events. This must include our annual simulation exercise, which all volunteers are required to attend. Other weekend training events include 6 annual training weekends where we get together in person at various locations around the UK, and 4 online development days. Volunteers should live either within the UK or within reasonably easy and affordable reach of the UK in order to be able to attend face to face training events. Equal Opportunities Statement We are committed to creating an inclusive environment and welcome applications from people of all backgrounds, communities, and experiences. We value diversity and are dedicated to providing equal opportunities regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Selection for volunteer roles is based solely on an individual's skills, experience, suitability for the role, and commitment to our values. Notable Dates for volunteer process: Closing date - 19th July 2026 If successful after evaluation - test - week of the 27th July 2026 Attendance for Interviews online - week of the 12th August 2026 Attendance for final round in person - 12th September 2026 Unfortunately we are unable to accommodate anyone who can not meet these dates.

Python Risk Developer (Contract) - FICC / Emerging MarketsDublin, Ireland | Remote WorkingContract Role Overview Our client, a prestigious financial institution in Dublin, is seeking an experienced Python Risk Developer for an exciting contract opportunity. The successful candidate will be working on cutting-edge risk management solutions for Emerging Markets within Fixed Income, Currencies, and Commodities (FICC). Key Responsibilities • Develop algorithms and strategic frameworks for next-generation risk management platforms, • Participate in all stages of the software development lifecycle, • Collaborate daily with traders, quantitative analysts, and senior stakeholders, • Design and implement robust risk calculation and reporting solutions, • Contribute to system architecture and technical design decisions Required Skills & Experience, • Strong Python programming skills, including proficiency with NumPy, SciPy, and other scientific libraries, • Demonstrated experience in financial risk management systems development, • Understanding of FICC products, particularly in Emerging Markets, • Knowledge of software engineering design patterns and best practices, • Experience with market data feeds and consumption technology (e.g., Reuters, Bloomberg), • Familiarity with yield curves and their construction methodologies Preferred Qualifications, • Experience working in tier-one financial institutions, • Background in Market Risk or Trader Risk development, • Strong knowledge of rates and fixed income products, • Experience working in fast-paced delivery environments, • Ability to communicate complex technical concepts to non-technical stakeholders What Our Client Offers, • Competitive contract rates, • Hybrid/ remote working arrangement, • Opportunity to work on high-profile projects with exposure to senior business sponsors, • Collaborative environment with cutting-edge technology, • Professional development in advanced risk management technologies If you're an experienced Python developer with a strong interest in financial risk systems and are looking for your next challenging contract role, please get in touch with us today! McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Job Title: AWS Data Engineer Contract: 6 Months Location: Remote, UK Skills: • Advanced knowledge of data management tools including SQL/DBMS, MongoDB, Hadoop and/or other big data technologies., • Advanced programming skills in Java, Python, R, C++, C#, etc. Knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.)., • Experience with data visualization tool is plusExposure to online, mobile, and social data is a plus. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions., • Ability to independently own and drive model development, balancing demands and deadlinesStrong people skills, team-orientation, and a professional attitude., • Our Advanced Analytics teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data., • Must Have: Enterprise Knowledge Data Management, Data pipeline, Python, SQL, AWS, • Centralising data stored in RDBMS, Data Ingestion, and Uploading data into the database. Education: Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍Cardiff, London or Remote (UK) | 💰 £76,500 to £95,000 + Incentive Awards tied to your performance + | Our team Our Borrowing business is growing rapidly across both existing products and the planned launch of new initiatives. Flex is an innovative credit card that gives our customers unprecedented visibility and control over their spending, offering features like flexible instalment plans and instant app management. If you are passionate about using data and agile technology to solve real-world financial problems and create a genuine feel-good factor around borrowing, this is your chance to contribute to a product that is defining the future of flexible finance. This is a high-impact, cross-functional environment where you’ll partner closely with Product, Engineering, Data Science, Finance, and Risk & Control to deliver sustainable, profitable, and responsible growth across our credit card offerings. You’ll operate at the intersection of credit risk, commercial performance, and customer experience, ensuring Monzo’s credit card products remain sustainable, competitive, and customer-focused as they scale. Your day-to-day As a Senior Credit Analyst, you’ll play a critical role in shaping Monzo’s credit strategy across credit card products. Your responsibilities will include: • Design and refine credit underwriting and limit strategies to optimise risk and growth, • Analyse portfolio performance (arrears, utilisation, revenue, losses, vintage curves) and identify actionable insights, • Build and interpret NPV and profitability models to inform strategic decisions, • Develop segmentation frameworks to identify revenue and risk pressure points, • Lead analytical deep-dives into portfolio trends and emerging risks, • Partner with Product and Engineering teams to design and test new features and strategy changes, • Evaluate the commercial and customer impact of pricing, eligibility, and limit decisions, • Present clear, structured recommendations to senior stakeholders, • Support regulatory and governance requirements, ensuring strategies align with policy and risk appetite Locations & flexible working: Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles. We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable. We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most. Work the way that works for you at Monzo! 💼 You should apply if You have: • Experience in unsecured lending, ideally within credit cards, • A strong understanding of credit card economics (APR, utilisation, interchange, revolving behaviour, cost of funds, losses). Experience of modelling rewards cards is a plus., • Experience building or influencing credit strategies (e.g. underwriting, limit management, pricing), • Strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus, • Experience working with NPV models, profitability analysis, and portfolio forecasting, • Confidence communicating complex analysis clearly to non-technical stakeholders, • Experience collaborating cross-functionally in a fast-paced environment, • An interest in balancing risk, growth, and customer outcomes We're on the look out for L40 Senior Credit Analysts at the moment, you can read more in our _ Interview process Our typical process is structured as: • Recruiter call, • Initial hiring manager call, • Take-home task, • Final interviews - (3x) including case study, role-specific, and behavioural interviews Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you 💰£76,500 to £95,000 + Incentive Awards tied to your performance + _ ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits_ #LI-LG1 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2024 and 2024 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

ML Infrastructure Lead About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Chief Scientific Officer Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (20%) + Share Options + iProov Benefits We are looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This is a hybrid leadership role sitting across machine learning infrastructure, platform engineering and MLOps. You will be responsible for designing and evolving the systems, tooling, processes and standards that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software engineering, data, cloud infrastructure and platform reliability, helping bridge the gap between research and production. This role is ideal for someone who can think strategically about long-term platform capability, while still being technically hands-on enough to solve complex engineering and operational challenges. • Lead the design and evolution of our ML platform, infrastructure and MLOps capability, • Build and maintain scalable, reliable and secure systems for model training, testing, deployment, monitoring and lifecycle management, • Develop the infrastructure and tooling that enable ML Engineers, Data Scientists and Researchers to work efficiently and ship models with confidence, • Design robust workflows for CI/CD, model versioning, reproducibility, experimentation, feature management and release management, • Own and improve the production environment for machine learning systems, ensuring strong standards for availability, performance, observability and resilience, • Define and implement monitoring across model and platform layers, including system health, data quality, drift, latency, throughput and cost efficiency, • Build or optimise internal self-service tooling and platform capabilities to reduce friction for teams working on ML use cases, • Partner closely with ML, Data, Software and Platform Engineering teams to productionise models and improve the end-to-end ML development lifecycle, • Support the scaling of infrastructure for both training and inference workloads, including high-throughput, real-time or compute-intensive use cases where relevant, • Drive best practice in governance, security, compliance, auditability and operational rigour across the ML lifecycle, • Improve the efficiency and cost-effectiveness of ML systems, including cloud resource usage, compute environments and deployment patterns, • Mentor engineers and act as a technical leader across ML platform and operations topics, • Help define the roadmap for ML enablement, ensuring the platform can support current needs while scaling for future growth You will have experience working in high growth, fast paced tech-first environments. You are passionate about building & launching quality products that have a positive impact. You’re an experienced product leader with a background in security, identity (IAM), or enterprise SaaS. You combine strategic vision with operational rigour, and you’re motivated by delivering usable, secure, and elegant solutions to complex technical problems. • Proven experience in a senior MLOps, ML Platform, ML Infrastructure, Platform Engineering or Machine Learning Systems role, • Strong hands-on background in software engineering and cloud infrastructure, ideally with direct experience supporting production machine learning environments, • Experience building and operating systems that support the full ML lifecycle, from experimentation and training through to deployment and monitoring, • Strong knowledge of Python and sound engineering principles, including testing, automation and code quality, • Strong experience with cloud platforms such as GCP, • Experience with Docker, Kubernetes and modern containerised deployment patterns, • Strong experience with CI/CD pipelines, infrastructure-as-code and workflow orchestration, • Experience with tools such as Airflow or similar platform and orchestration technologies, • Good understanding of model observability, data quality, feature pipelines, lineage and reproducibility, • Experience designing scalable infrastructure for ML workloads, including training, batch inference and real-time serving, • Strong appreciation of reliability, security, governance and operational excellence in customer-facing or production-critical systems, • Ability to operate across both strategic and hands-on technical work, • Strong communication skills and the ability to work effectively across engineering, product and data teams Nice-to-haves • Experience supporting computer vision, deep learning, LLM or other compute-intensive ML workloads, • Experience with GPU infrastructure, distributed training or high-performance compute environments, • Familiarity with feature stores, model registries and automated retraining pipelines, • Experience building internal developer platforms or self-service ML tooling, • Experience in regulated, high-security or high-availability environments, • Experience leading or mentoring engineers in a scale-up or high-growth technology business, • Familiarity with responsible AI, model governance or risk controls in production ML setting, • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

The Role uMotif’s Customer Support team is looking for a UK based Support Specialist who would be responsible for supporting customers during core UK business hours. The role is based remotely in the UK, although the current team is based in both the UK and US and covers the UK, European and US time zones. In this role, you will provide day to day technical and customer support for our data capture solutions. This includes being responsible for and triaging support tickets as they are received which can vary from assisting our users, making database data changes, producing data reports and extracts, investigating and solving technical issues and supporting your team and the wider business to provide an exceptional support service. At the core of the role is the ability to interrogate, manage and update captured data using SQL/MYSQL whilst adhering to data privacy and regulated data management guidelines, so we ask for 3+ years of experience providing customer support with at least 2 years demonstrable SQL skills. What will you do? • Serve as the escalation point for support cases including overall triage., • Help maintain and support our internal ticketing tools and communication channels., • Investigate and resolve 1st, 2nd and some 3rd line support issues., • Escalate complex 3rd line support issues if unable to resolve within the team., • Ensure issues are responded to within predefined company SLAs., • As a team provide continuous product support during core UK, Europe and US working hours., • Work with our third party 1st line support vendor ensuring a seamless support service., • Provide support to system users in multiple countries predominantly via email and our support ticketing system, with occasional client calls as needed., • Build professional rapport with internal and external clients by demonstrating empathy and strong communication skills and clearly document all communication with system users., • Follow up with customers to ensure full resolution, providing timely updates of progress along the way., • Become proficient in core applications in the uMotif product suite and share this knowledge with all other internal cross-functional teams as necessary., • Work in harmony with all business departments to ensure a complete support function., • Promote good practice and contribute towards knowledge sharing and process documentation., • Develop an understanding of customer processes and standard operating procedures., • Gain knowledge of clinical research workflows to support understanding and context of customer questions., • Facilitate troubleshooting and communication across multiple teams to provide customers with effective solutions quickly. When a solution is not readily available, collaborate with other internal resources., • Demonstrate responsiveness and sense of urgency in all customer interactions., • Advocate for customers by tracking and communicating suggestions for software enhancements., • Perform other job-related duties as assigned. What you need to succeed • Prior technical support experience is preferred, especially in healthcare, life sciences, clinical research or related fields., • 3+ years of experience providing customer support with at least 2 years demonstrable SQL skills., • Excellent verbal and written communication skills and the ability to work optimally in a remote team environment., • Initiative and desire to learn new skills/technologies and remain up-to-date with the latest trends., • Excited by firefighting and a real passion for solving technical problems., • Experience working with and improving support ticketing systems, ideally Jira Service Management., • Committed to working within a team that promotes the uMotif culture., • Thrives in a fast-paced, dynamic environment., • A team player who puts the success of the team first and is motivated by helping clients and finds satisfaction in helping to resolve the issues of others., • A resourceful problem-solver who seeks out effective and efficient solutions., • Strong time management skills and ability to effectively manage multiple priorities., • Experience working within regulated environments, for example GDPR, GCP & HIPAA., • Any exposure to the following would be a real bonus: Command Line, PHP, Python, CSS, HTML, XML, JSON, Javascript., • Any experience with the following tools: Jira, AWS, Jira Service Management, Tableau, Slack, Gitlab, iOS & Android environments, MDM, Microsoft Office & GSuite. Why uMotif? • Unlimited paid holiday allowance after probation, • Contributory Salary Sacrifice pension, • Private Health Insurance via Vitality, • Simplyhealth cashback scheme, • 5x salary Life Insurance, • Full pay for the first 13 weeks of SMP during maternity leave, • Perkbox subscription, • Salary Sacrifice Cycle scheme, • Remote working, • Home office allowance, • WFH expense contribution About us Our Company uMotif’s mission is to put patients at the centre of research by building data capture solutions people love to use. Designed with patients for patients, the uMotif platform supports data capture for each phase of clinical research across all therapeutic areas. Over 22,000 participants use our applications to track and submit e-consent, symptom, eCOA, ePRO, and wearable device data. With expertise in engaging patients and fast deployments, we work with ten of the top twenty global pharmaceutical companies to power large real-world evidence (RWE) and virtual studies. Our core values: Patients First - We care about patients and put them first; from our products to our business decisions. Teamwork - Through collaborating with and supporting each other, our customers, and our partners we succeed together. Innovation - We work innovatively to design, build, and deliver engaging technology. Team uMotif are united in our belief that patient-centric thinking combined with beautiful technology and effective teamwork can truly change clinical research for the better. We search for mission-driven people who are not afraid to be challenged - who want to tackle demanding problems and embrace innovative ideas. uMotif is an equal opportunities employer We positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We want everyone at uMotif to be comfortable bringing their true self to work. That means acknowledging your personality, including the quirky bits, and bringing your interests, hopes, dreams, and even fears with you is fine, even if they don't seem relevant to your work.

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ _ ✨ 📍London or Remote (UK) | 💰 £55,000 to £77,000 + Options + | Our team: Our Borrowing business is growing rapidly across both existing products and the planned launch of new initiatives. Flex is an innovative credit card that gives our customers unprecedented visibility and control over their spending, offering features like flexible instalment plans and instant app management. If you are passionate about using data and agile technology to solve real-world financial problems and create a genuine feel-good factor around borrowing, this is your chance to contribute to a product that is defining the future of flexible finance. With your experience of developing unsecured retail credit risk strategies and building best in class credit capabilities, you will be responsible for developing our credit and pricing strategies for Flex. You will work with colleagues across teams to make sure we are building profitable lending portfolios and amazing products for our customers. Your day-to-day: • Working on initiatives to improve our credit underwriting, boost growth and/or manage portfolio risk, • Supporting the design and roll-out of new lending strategies by finding patterns in the data and translating these into insights, • Monitoring the performance of our existing strategies, and iterating to improve them, • Working alongside people from engineering, marketing, product, risk and control to design and deliver product changes, • Developing, maintaining and monitoring our credit models to assess net present value of new lending cohorts to drive strategic business decisions, • Building and maintaining the database tables and dashboards that provide insights and promote rapid, data-driven decisions, • Supporting the design and roll-out of new products and customer journeys, • Assessing how the lending portfolio of particular products will perform over time You should apply if: • You have experience in unsecured retail lending (e.g. personal loans, credit cards, overdrafts, buy now pay later etc.), • You have an understanding of how the unsecured retail lending market works including the impact of pricing dynamics on portfolio performance, • You have an understanding of lending economics and have experience developing and deploying underwriting strategies, • You have strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus., • You have a working understanding of the regulations that apply to lending in the UK., • You thrive in a fast-paced environment and are keen for the chance to improve our products and help ship changes to our customers, • You are a strong communicator, able to cut through complex problems and articulate decision points, • You have some experience in project management and coordination across teams, • You work well collaborating in a team with diverse skill-sets and personality types, • You are highly motivated and energised by the idea of bringing positive impact to our customers and Monzo The interview process: Our interview process involves 4 main stages: • Recruiter call, • Initial call, • Take home task, • Final stage (x3 interviews) consisting of a case study, role specific interview and collaboration interview Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you: 💰£55,000 to £77,000 + stock options + _ ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits _ #LI-LG1 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2024 and 2024 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Data Engineer- London/ Remote- 4 Months- £41-£46 ph PAYE A global technology company are looking for an experienced Data Engineer to join their team on an initial 9 month assignment. The data warehouse team works very closely with Product Managers, Product Analysts and Internet Marketers to figure out ways to acquire new users, retain existing users and optimize user experience - all of this using massive amounts of data. In this role, you will see a direct link between your work, company growth, and user satisfaction. The successful Data Engineer will work with some of the brightest minds in the industry, and you'll get an opportunity to solve some of the most challenging business problems on the web and mobile Internet, at a scale that few companies can match. Responsibilities: • Manage data warehouse plans for a product or a group of products., • Interface with engineers, product managers and product analysts to understand data needs., • Build data expertise and own data quality for allocated areas of ownership., • Design, build and launch new data models in production., • Design, build and launch new data extraction, transformation and loading processes in production., • Support existing processes running in production., • Define and manage SLA for all data sets in allocated areas of ownership., • Work with data infrastructure to triage infra issues and drive to resolution. Skills/ Experience: • 5+ years experience in the data warehouse space., • 5+ years experience in custom ETL design, implementation and maintenance., • 5+ years experience with programming languages (Python or Java), Python preferred., • 5+ years experience in writing efficient SQL statements., • Experience working for a large technology company, • Experience working with either a Map Reduce or an MPP system., • Hands on and deep experience with schema design and dimensional data modelling., • Ability to analyse data to identify deliverables, gaps and inconsistencies., • Excellent communication skills including the ability to identify and communicate data driven insights., • Ability and interest in managing and communicating data warehouse plans to internal clients., • BS/BA in Technical Field, Computer Science or Mathematics Huntress Search Ltd acts as a Recruitment Agency in relation to all Permanent roles and as a Recruitment Business in relation to all Temporary roles. We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout. PLEASE NOTE: We can only consider applications from candidates who have the right to work in the UK.

Location: Remote Salary: £75,000 - £85,000 At Arbor, we’re on a mission to transform the way schools work for the better. We believe in a future of work in schools where being challenged doesn’t mean being burnt out and overworked. Where data guides progress without overwhelming staff. And where everyone working in a school is reminded why they got into education every day. Our MIS and school management tools are already making a difference in over 12,000 schools and trusts. Giving time and power back to staff, turning data into clear, actionable insights, and supporting happier working days. At the heart of our brand is a recognition that the challenges schools face today aren’t just about efficiency, outputs and productivity - but about creating happier working lives for the people who drive education everyday: the staff. We want to make schools more joyful places to work, as well as learn. We are looking for an experienced and highly technical Senior Product Engineer to join our Engineering team and help us implement and deliver large projects and advocate for high engineering standards. The remit and focus of the role is to be a key driver in the team, taking responsibility for developing and owning features and core components of the company's core systems and processes, as well as auxiliary services where needed. It’s a broad and exciting role, so we’re looking for someone up for a challenge - if you’re a proactive and collaborative Senior Product Engineer, this is the role for you. Core responsibilities • Build, maintain and scale platform-level back-end services to enhance and serve our Data and AI capabilities for internal and external customers., • Leverage these Data and AI capabilities to build and ship new features within the core Arbor product suite., • Own the successful delivery of high-impact features, directly contributing to the advancement of Arbor products., • Drive the development and implementation of advanced tests for new and existing features, ensuring high test coverage and reliability standards., • Proactively identify, take ownership of, and resolve critical system bugs and issues using advanced problem-solving skills and comprehensive system knowledge., • Maintain high code quality standards through thorough, constructive code reviews, ensuring solutions are well-tested, scalable, and maintainable., • Produce well-architected, efficient, and scalable code by applying industry-leading design patterns and methodologies., • Create and maintain thorough technical documentation and diagrams that promote best practices and ensure clear communication., • Collaborate closely with the Engineering Manager, Tech Lead, QA Engineer, and Product Manager to address feature requests., • Support the Engineering Manager with interviews, scrum ceremonies, and the implementation of strategies to improve and optimise product quality and lead time, demonstrating a comprehensive understanding of the development lifecycle and processes., • Support the Tech Lead in developing technical roadmap solution designs, identifying areas for improvement, prioritising, and executing technical debt reduction., • Act as a role model for technical excellence through code reviews, pair programming, and actively mentoring and coaching mid-level and junior engineers in best practices, fostering knowledge transfer within the team., • Actively lead and participate in tech talks, workshops, and team-based learning initiatives., • Demonstrable experience building back-end Python-based services, • Previous experience building features in PHP, • Experience with enterprise solutions and large-scale systems., • Demonstrated knowledge of database technologies (SQL and NoSQL) and best practices for data modelling and performance optimisation., • Proven experience in managing large, technical projects and delivering high-quality, impactful results with minimal supervision., • Proven experience designing and writing APIs and services within a service-oriented environment., • Applies best practices and software engineering principles (e.g., SOLID, DRY) effectively., • Demonstrated knowledge of software best practices, including refactoring, writing clean code, and Test-Driven Development (TDD) and Test Automation., • Understands Scrum methodology or other agile development processes., • Demonstrates leadership through collaboration, mentorship, and a proactive approach to problem-solving., • Possesses excellent written and spoken English skills, with the ability to communicate clearly to both technical and non-technical stakeholders., • A driven team player who actively participates in discussions and readily offers assistance to others. The chance to work alongside a team of hard-working, passionate people in a role where you’ll see the impact of your work everyday. We also offer: • A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more!, • 32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas, • Life Assurance paid out at 3x annual salary, • Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks, • Private Dental Insurance with Bupa, • Salary sacrifice Pension provided by Scottish Widows, • Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay, • 5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life!, • Access to services such as Calm and Bippit (financial wellbeing coaching), • All of our roles champion flexible working and we are happy to discuss what this means to you, • Social committees that plan team, office and company wide events to bring people together and celebrate success, • Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc), • Volunteer with a charity of your choice for a day each year, • Dog friendly offices!, • Phone screen, • 1st stage, • 2nd stage We are committed to a fair and comfortable recruitment process, so if you require any reasonable adjustments during your application or interview process, please reach out to a member of the team at _. Our commitment is also backed by our partnership with Neurodiversity Consultancy, Lexxic who provide us with training, support and advice. Our goal is for Arbor to be a workplace which represents, celebrates and supports people from all backgrounds, and which gives them the tools they need to thrive - whatever their ambitions may be so we support and promote diversity and equality, and actively encourage applications from people of all backgrounds. Know someone else who would be good for this role? You can refer a friend, family member or colleague, if they are offered a role with Arbor, we will say thank you with a voucher valued up to £200! Simply email: _ Please note: We are unable to provide visa sponsorship at this time.

Are you a Geospatial Data Engineer Volunteer wanting to use your skills to help people in a humanitarian crisis and ultimately help save lives? MapAction can enable you to volunteer to do just that. Volunteers have been the heart of the MapAction for over 20 years but the range of skills needed continually evolves. Now we are looking for a enthusiastic Geospatial Data Engineer professional who has a desire to commit to a great team, and to help MapAction make a difference that has a lasting effect on vulnerable communities. MapAction works with a range of humanitarian partners, from local organisations who are closest to the ground to a range of global UN partners. Come and be part of something that is exciting and impactful! Why MapAction? MapAction is a leading humanitarian mapping charity, delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector, and are a technical partner of the United Nations, Non-Government Organisations and Civil Society Organisations, the Red Cross, Red Crescent Movement, regional entities and national authorities. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. As a volunteer, we will be able to work with technical staff and volunteers on different opportunities. Once your onboarding is complete, you will be able to choose the tasks and projects that best fit your skillset and interests. Here below some activities that our data engineer volunteers can support with: • MapAction external projects that require a Data Engineer skillset (e.g.: data pipeline automation, hazard exposure platforms, multi-risk models, conflict incident reporting, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • Conduct and automate data collection and processing scripts, • Create and maintain optimal, performant data pipeline architectures, both internally and externally, • Propose improvements to infrastructure, schemas, platforms, toolchains and configurations, • Assist in the automation, provision and management of development environments, source-code, build-tools, pipelines and deployments, • Support ad-hoc Data Processing during MapAction’s Emergency Responses in collaboration with MapAction’s GIS team, • Support internal systems maintenance in collaboration with MapAction’s IT Support Engineer, • Attend and / or represent MapAction on technical conferences, • Train other volunteers or external organizations on Data Engineer tools and processes What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Time to commit to MapAction, for more details on the time commitment, please refer to the “What does it mean to be part of the MapAction team?” Essential: • Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Technology or a related field, • Three or more years of professional experience working in a data or information management team, as a data engineer, data scientist, developer or other similar role, • Experience and proficiency working with Python and Jupyter Notebooks, • Data pipeline design skills, • Knowledge of cloud platforms like GCP, AWS or Azure, • Experience and understanding of CI/CD pipelines, • Project management experience. Experience in understanding partner needs and requirements, in particular working with non-technical clients., • Collaborative code management using Git & GitHub Desirable: • Experience of participating in a volunteer organisation or open source projects., • Experience with QGIS or ArcGIS, • Experience working with geospatial data (raster and vector), • Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs), • Experience with Systems Engineering, • Understanding of the Software Development Life cycle, • Thorough grounding in containerisation e.g. Docker, Kubernetes, • Shell scripting, • An interest in software-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience What does it mean to be part of the MapAction team? Being part of MapAction means entering a close-knit community of highly skilled and committed and experienced professionals in different sectors. It means using your unique skills to help prepare for, anticipate, or respond to humanitarian emergencies, enabling our partners to provide life-saving support. At MapAction, training and team building are at the heart of our organisational culture. We have frequent meet-ups online and in person where paid staff and volunteers get together for training opportunities and skill-sharing, to strengthen our service offer. As a volunteer, you can participate in all levels and areas of the organisation, working alongside our colleagues at various UN agencies and/or other humanitarian partners. Volunteers also steer the organisation's strategic direction and are involved with designing and implementing our operational capacity. You will have the opportunity to travel, whether that’s at training events, project work abroad, missions or representing MapAction at a conference. Availability for projects, including in-person deployments • MapAction expects a high level of commitment by volunteers to make themselves available to deliver projects, whether these projects are planned or emergency missions, remote or in-person, one-off tasks or longer term commitments., • Deployable volunteers are expected to seek a commitment from their employer (if applicable) to permit time off (paid or not) for deployments when necessary., • For emergency deployable volunteers, there must be arrangements in place for a quick decision to be taken on availability, including agreement from employers/family if required, in the event of all alerts. This should normally be within 12 hours of the issue of the alert, depending on time-zone., • For non-emergency deployments and projects logged on the tasking grid, volunteers must respond to a request for assistance (whether yes or no) by the deadline specified on the grid., • Volunteers are expected to put themselves forward for at least three substantive (i.e. at least two days work) tasks every year, and are normally expected to contribute at least 10 days of voluntary effort (excluding training) to MapAction every year., • It is the duty of all volunteers to do their best to make themselves available for any opportunity relevant to their volunteer role, and avoid perceptions of volunteers selecting only more ‘attractive’ tasks or missions. It is essential that MapAction is able to deliver on all tasks it commits to, and it relies on volunteers to be prepared to step up for a wide range of activities. As a member of the team, you will be expected to participate in at least 6 internal weekend training events. This must include our annual simulation exercise, which all volunteers are required to attend. Other weekend training events include 6 annual training weekends where we get together in person at various locations around the UK, and 4 online development days. Volunteers should live either within the UK or within reasonably easy and affordable reach of the UK in order to be able to attend face to face training events. Equal Opportunities Statement We are committed to creating an inclusive environment and welcome applications from people of all backgrounds, communities, and experiences. We value diversity and are dedicated to providing equal opportunities regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Selection for volunteer roles is based solely on an individual's skills, experience, suitability for the role, and commitment to our values. Notable Dates for volunteer process: Closing date - 19th July 2026 If successful after evaluation - test - week of the 27th July 2026 Attendance for Interviews online - week of the 12th August 2026 Attendance for final round in person - 12th September 2026 Unfortunately we are unable to accommodate anyone who can not meet these dates.

We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning when warranted — that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world's commodity supply chains. You will work across the full lifecycle — from research and prototyping through to validated, productionised models. A meaningful fraction of the team's work centres on building lightweight downstream models — classifiers, regressors, similarity-search workflows. Likely focus areas for this role include: Commodity and plantation mapping by region - palm oil, cocoa, coffee, rubber, soy, timber and similar - in support of EUDR compliance and supply-chain due diligence. Forest degradation and biomass / canopy-height estimation from multi-sensor fusion. Develop ARR feasibility models that fuse climate, soil, and remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass / canopy-height estimation. Build embedding-driven workflows on top of EO foundation models - few-shot classifiers, similarity search, downstream regressors. Design validation strategies that benchmark outputs against plot inventories and third-party reference datasets, quantify uncertainty, and surface failure modes; produce QA artefacts (maps, plots, model cards, error analyses) that internal teams and clients can trust and defend. Partner with Engineering to take models into scalable, reproducible inference pipelines across millions of plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL, and the STAC ecosystem. Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor-specific quirks that matter for modelling. Comfortable with Git, cloud compute (AWS or similar), and collaborative codebases. Clear written and verbal communication: can explain modelling choices, uncertainties, and trade-offs to scientific and non-scientific stakeholders. Domain exposure: deforestation, land-use change, biomass / canopy-height estimation, climate risk, or supply-chain transparency. Experience using EO foundation models as a downstream substrate - building lightweight classifiers, regressors, or similarity-search workflows on top of frozen embeddings (e.g., AlphaEarth Foundations, Clay, etc). Comfortable fine-tuning or pretraining where the case justifies it. Multi-modal fusion experience - combining optical (Sentinel-2, Landsat), SAR (Sentinel-1, PALSAR), and/or LiDAR (GEDI, ICESat-2) into unified predictions. Time-series modelling for environmental change detection - temporal transformers, sequence models, or self-supervised approaches. Comfortable building with AI-assisted development tools as a core part of your workflow. Familiarity with Google Earth Engine, Microsoft Planetary Computer, AWS Open Data, or other STAC-based catalogues. Experience working in cross functional teams working alongside solutions architects, sales, and engineering. You’ll report to the Science Team Lead and partner day-to-day with the wider Science Team while working closely with Engineering and Product teams. This is a Science Team role with regular touch points with Engineering and Product - the interview process gives you a chance to meet your immediate team and a couple of key partners. Recruiter screen (30 min) Hiring manager (45-60 min) Science Team technical interview (45 min) Engineering and/or Product interview (30 min) Potential in-person problem-solving session with the team - designed to be interactive and a glimpse of what being part of the Science Team will be like! Accessibility: Tell us if you need adjustments, we’ll accommodate. What you’ll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera _ for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our _.

Salary: £40,000 - £50,000 Location: We’re looking for someone based in the UK to help us better support our clients and collaborate closely with our wider team. This is a remote role, so you can work from wherever you feel most comfortable. --- At Substrakt, a UK based company with Global impact, we help arts and cultural organisations create exceptional digital experiences and we’re looking for a Backend Engineer to help us do just that. As part of our Engineering team, you'll build robust, high-quality backend solutions that power our clients’ websites and digital products. From new website builds and custom integrations to performance optimisations and security enhancements, you’ll play a vital role in delivering outstanding products and services. Substrakt is an equal opportunities employer. We believe that diversity of thought and experience makes us stronger, and we actively encourage applications from people of all backgrounds, identities, and abilities. Read more about our approach to _. • Create exceptional backend solutions: Work on a range of projects across our client base including new builds, updates to existing websites, API integrations, infrastructure configurations, and other server-side tasks. You’ll work with modern technologies such as PHP, WordPress, MySQL, SQL, Python, Wagtail, Heroku and AWS (S3, CloudFront, RDS) - always with performance, security, and scalability in mind., • Ensure quality and performance: Write clean, efficient, and secure code following best practices. You’ll test thoroughly, debug issues, and optimise performance to ensure reliable and seamless user experiences. You’ll also contribute to code reviews and help maintain our high technical standards., • Collaborate and contribute: Work closely with frontend engineers, designers, and client-facing roles to ensure smooth delivery. You’ll communicate directly with clients when needed to explain technical decisions, and support Producers and Support & Solutions Managers in scoping and technical planning., • Own your work: Take responsibility for the technical quality of your solutions, contribute to internal best practices, and help shape the future of our backend engineering processes. You’ll participate in solution reviews, submit and conduct code reviews, maintain technical documentation, and support continuous improvement., • Strong experience in backend development using modern frameworks and tools (e.g., PHP, Python, WordPress, Wagtail, Django), • Familiarity with relational databases (MySQL) and cloud infrastructure (Heroku, AWS, Cloudflare), • Understanding of performance optimisation, secure coding practices, and scalable system design, • Enthusiasm for working collaboratively within a multidisciplinary team, • A friendly and helpful approach to communicating directly with clients, • Initiative, problem-solving mindset, and a drive to deliver high-quality work, • Openness to learn, share knowledge, and support others We’re a purpose-driven team, who are B-corp accredited, that values creativity, openness, and continual improvement. We believe in creating work we’re proud of and supporting each other to grow along the way. You’ll have the chance to work with some of the most inspiring arts and cultural organisations, contributing to meaningful projects that make a real impact. • We operate a flexible, hybrid working model that supports autonomy and work-life balance., • We have enhanced time off policies too with a focus on parents and carers, vacation days (you’ll get 25 days, plus bank holidays and you’ll never work a birthday again - because we give you that off), • We offer NHS cashback scheme to support healthcare costs and a monthly wellbeing allowance of £50 to spend on whatever makes you feel good (whether that be a gym membership, a meal out, or a treatment of some kind), • Everyone gets 6 days per year to focus on their own professional development, and a £500 budget to go along with that too., • We invest heavily in communication and connection through weekly mailers, an intentional meeting cadence and internal awards. We also organise and cover the cost of bi-annual team gatherings to museums, art galleries and theatres., • Not all benefits come in the form of traditional ‘perks’. At Substrakt, we place a strong emphasis on building the right team structure and workflows, so everyone knows what they’re accountable for and can focus on doing their best work., • All team members have the opportunity to participate in our steering groups which aren’t just ‘nice to haves’ - they help everyone stay curious and influence the way Substrakt approaches things like Equality, Diversity and Inclusion, Internal Culture, Accessibility, AI, and Sustainability If this sounds like you, and you like the sound of us, we’d love to hear from you.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK. The Opportunity: The Grafana Alerting squad operates at the core of the Grafana open-source project _, and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on: • Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts, • Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts, • Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. What You’ll Be Doing: • Take an active role in influencing our roadmap and your own career objectives, • Work with your team to deliver new features, then use the results to iterate and improve., • Drive projects from initial ideation all the way to operations once it is in the hands of customers, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability, • Be a part of your team’s on-call rotations and take ownership of the services you’re running, • Mentor and support other team members, participate in design discussions and collaborate with the team, • Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: • You are a motivated self starter with a bias towards action, • You are customer focused, • We build everything with our users in mind., • You have a passion for creating intuitive products that fit customers’ needs, • Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively, • Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must, • Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well, • Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way, • Some experience with developing software that runs in the Cloud or some experience with systems engineering, • Experience writing clean, robust, and performant software that is easily maintained by others Compensation & Rewards: In the UK, the compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

📍Cardiff, London or Remote (UK) | 💰 £76,500 to £95,000 + Incentive Awards tied to your performance + | Our team Our Borrowing Collective is building innovative, responsible lending products that give customers greater transparency, flexibility, and control over their money. You’ll be working on Monzo’s credit card products, helping to design, optimise, and grow our lending strategies. This is a high-impact, cross-functional environment where you’ll partner closely with Product, Engineering, Data Science, Finance, and Risk & Control to deliver sustainable, profitable, and responsible growth across our credit card offerings. You’ll operate at the intersection of credit risk, commercial performance, and customer experience, ensuring Monzo’s credit card products remain sustainable, competitive, and customer-focused as they scale. Your day-to-day As a Senior Credit Analyst, you’ll play a critical role in shaping Monzo’s credit strategy across credit card products. Your responsibilities will include: • Design and refine credit underwriting and limit strategies to optimise risk and growth, • Analyse portfolio performance (arrears, utilisation, revenue, losses, vintage curves) and identify actionable insights, • Build and interpret NPV and profitability models to inform strategic decisions, • Develop segmentation frameworks to identify revenue and risk pressure points, • Lead analytical deep-dives into portfolio trends and emerging risks, • Partner with Product and Engineering teams to design and test new features and strategy changes, • Evaluate the commercial and customer impact of pricing, eligibility, and limit decisions, • Present clear, structured recommendations to senior stakeholders, • Support regulatory and governance requirements, ensuring strategies align with policy and risk appetite Locations & flexible working Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles. We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable. We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most. Work the way that works for you at Monzo! 💼 You should apply if You have: • Experience in unsecured lending, ideally within credit cards, • A strong understanding of credit card economics (APR, utilisation, interchange, revolving behaviour, cost of funds, losses). Experience of modelling rewards cards is a plus., • Experience building or influencing credit strategies (e.g. underwriting, limit management, pricing), • Strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus, • Experience working with NPV models, profitability analysis, and portfolio forecasting, • Confidence communicating complex analysis clearly to non-technical stakeholders, • Experience collaborating cross-functionally in a fast-paced environment, • An interest in balancing risk, growth, and customer outcomes Bonus points if you have: • Experience working in a regulated UK lending environment, • Exposure to IFRS9, stress testing, or capital modelling, • Experience in experimentation or strategy testing frameworks, • Experience working on business lending products We're on the look out for L40 Senior Credit Analysts at the moment, you can read more in our _ Interview process Our typical process is structured as: • Recruiter call, • Initial hiring manager call, • Take-home task, • Final interviews - (3x) including case study, role-specific, and behavioural interviews Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you 💰£76,500 to £95,000 + Incentive Awards tied to your performance + _ ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits_ #LI-LG1 #LI-Remote

The Lanes Group are the UK’s largest independent provider of water and wastewater solutions and services, we play a vital role in always maintaining the seamless operations of the nation’s water systems. Formed in 1992, our half a billion-pound turnover ensures continued expansion for market share. Our key differentiator is our 4000+ staff and our resource pool that includes the most innovative fleet, plant, and equipment the market has to offer. We are the UK’s largest end to end drainage solution provider with depots strategically located across the UK from Aberdeen to Plymouth, to ensure round the clock coverage for customers and clients alike. About the Role: We are a rapidly expanding team within an IT department that supports over 4,000 staff. As we continue to grow, we are looking for a skilled Microsoft 365 Developer to join us as a senior team member. Hours: Monday to Friday – 37.5 Hours per week Employment Type: Permanent Salary: £35,000 - £45,000 Location: Remote (A full UK Driving Licence is essential, as some travel will be required) Responsibilities – but not limited to: • Develop, configure, and deploy custom solutions within Microsoft 365, including SharePoint, Teams, Power Apps, Power Automate, and related applications., • Design and manage integrations between Microsoft 365 applications and third party systems using REST APIs, Microsoft Graph API, and custom connectors., • Create and manage custom connectors within Power Automate and Power Apps to facilitate efficient data flow across multiple platforms., • Collaborate with stakeholders and the Business Excellence Team to understand business requirements, translating them into technical specifications and scalable solutions., • Maintain, troubleshoot, and optimize existing integrations to ensure security, reliability, and performance., • Build automated workflows and solutions that enhance productivity and streamline business operations., • Document all integration processes, customizations, and best practices for reference and training. Experience and qualifications required for the role: • Degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Proven experience (2+ years) as a Microsoft 365 Developer or a similar role focused on integrations., • In depth knowledge of Microsoft 365 applications (SharePoint, Teams, Power Apps, Power Automate) and services., • Extensive experience with API integrations, particularly Microsoft Graph API, REST APIs, and third party APIs., • Strong proficiency in Power Platform development, including Power Apps and Power Automate custom solutions., • Knowledge of Azure services (Logic Apps, Functions, and API Management) for advanced integration capabilities. Familiarity with JSON, XML, OAuth, and other web technologies relevant to API development., • Strong problem solving skills and a proactive approach to troubleshooting integration issues., • Excellent communication skills for collaborating with cross functional teams and stakeholders., • Strong documentation skills and attention to detail., • Full UK Driving Licence with own transport. Desirable • Mulesoft exposure or equivalent, • Dynamics 365 experience, • Powershell/Python scripting What you will get in return: In joining the Lanes Group, the UK’s largest independent provider we are committed to fostering a workplace culture that prioritises the well-being, growth, and safety of our employees. Through continuous training, professional development opportunities, and a supportive environment that values every individual's unique contribution, we empower our team to uphold the highest standards of integrity, collaboration, and inclusivity. What we offer: • 24 Days holiday plus Bank Holidays, • Pension, • Death in service

Coach – Applied AI Engineering (Level 6) | Machine Learning Remote | National travel required Corndel is a multi award‑winning UK training provider delivering high‑quality management and technology programmes with leading organisations. We’re growing fast and are passionate about transformational learning that empowers people to be their professional best. The Role We’re looking for an Applied AI Engineering Coach (Level 6) to support apprentices on our AI Engineer / Machine Learning apprenticeship programme. This role suits an experienced AI Engineer, Machine Learning Engineer, or Data Scientist who enjoys coaching others and enabling the responsible application of AI in real business environments. You’ll combine strong technical expertise with a coaching mindset—helping learners apply AI confidently, ethically, and effectively at work. What You’ll Do Coach and mentor a caseload of Level 6 AI Engineering apprentices Deliver engaging 1:1 coaching, workshops, and group learning Support learners across the full machine learning lifecycle, from problem scoping to deployment and monitoring Guide learners through End Point Assessment (EPA) and portfolio development Promote responsible AI, ethics, security, and governance Collaborate with employers and internal teams to ensure high‑quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‑on experience with production ML systems Strong Python skills and experience with tools such as: scikit‑learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face / generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‑driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise to make a meaningful impact through education. As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer. As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience. Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including DBS Disclosure. For more information contact _