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Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational STEM problems that simulate real scientific workflows., • Create problems that require Python programming to solve., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches., • Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)., • Document problem statements clearly and provide verified correct answers. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field., • You have at least 5 years of Machine Learning experience with proven business impact., • Strong programming skills in Python (numpy, pandas, scipy, sklearn)., • Solid understanding of numerical methods and computational algorithms., • Research or industry experience involving computational problem-solving., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

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 deeply talented, fully remote Senior Backend Engineer. You’ll be UK or EU based and you’ll be working in a team of backend engineers across MPG. We deliver, deploy and help integrate backend services alongside external co-dev clients as part of industry leading game projects, and collaborate to define solutions and implement features on time and to a high standard. We’re also developing an internal tool used across MPG, as well as growing our pool of AWS Certified engineers - both of which you will be involved with when you join us. • Experience in game development and having worked on at least two game titles in a commercial setting developing server backends for AAA games, free-to-play (mobile) games, casino apps or similar, • Experience releasing at least two backend services with a large number of concurrent users, • Production experience with at least one of Java, Golang, C#, C++, Kotlin; experience with Python, Node.js and React is desirable, • Experience with cloud platforms: Amazon Web Services, Google Cloud and Microsoft Azure; having an AWS Certification (Associate or above) would be advantageous, • Experience with infrastructure as code tools, e.g. Terraform, • Ability to create supporting documentation, designs, comments, etc, • Ability to discuss technical and production matters, • Excellent time management and ability to work autonomously, • Experience building distributed applications, • Attention to detail with ability to comprehend and follow direction, • Clear communicator with the ability to verbalise conceptual thoughts and the willingness to accept constructive critique, • Experience with Git or Perforce, or other source control software, • Ability to adapt to new tools, languages, and concepts as required by the project, • Knowledge of Microservices and Service Oriented Architectures (SOA), especially Kubernetes and Docker, • Experience building a CI/CD pipeline to validate and test code, • Awareness of security/cheating implications of technology choices, • Experience using Gen AI for code generation Beneficial • Demonstrable database experience with both SQL and NoSQL, • Understanding of how a backend service integrates with the game - experience with Unreal or Unity would be useful but not required, • Experience with high-scale distributed applications with a concurrent user base ranging in the hundreds of thousands, with high uptime, and performant services, • An understanding of how to use LLMs to process and query structured and unstructured data Responsibilities • Individual contribution: construct systems, write code, deployments, etc., • Work with the team lead and stakeholders to estimate and prioritise work, • Work alongside peers to iterate on solutions that fit requirements, • Keep the project lead and producer apprised of revised estimates and delivery times, • Promote and maintain high standards and process: tests, CI/CD, documentation, • Help and support team members in day-to-day work, • Understand, maintain and expand existing code and develop new features or systems Please don’t forget to include your CV, a cover letter, and links to your GitHub, website or portfolio. 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 _.

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.

🌏 Located remotely (must live in UTC-5 to UTC+2 time zones to apply) 💸 Salary £110,000 👯 Working in the Engineering team Want to ditch the commute, keep meetings to a minimum, and join a team of talented, experienced, and friendly folks? Do you do your best work when you have the freedom to work flexibly and the autonomy to make your own decisions and try new things? We are a profitable, independent company with a fully remote team working asynchronously across Europe, Canada, and South America. We’re building high-quality products for our users in the last-mile delivery space and working on solving complex, real-world problems for drivers, courier companies, retailers, and anyone who receives a delivery! If you’re an experienced Backend Staff Software Engineer who enjoys working closely with product, design, and engineering - and you like tackling complex backend architecture challenges - we think you’ll be right at home here. Just a few of the things we offer on top of salary: Fully remote Flexible working Equity options Annual company performance bonus 32 days of paid holiday Enhanced PTO for parental leave Annual company events and meet-ups We also make sure you have the tools, space, and support to do your best work: £3,200 every three years for a new laptop £500 a year towards new tech or your home office £1,000 a year for learning and development £1,000 a year for conferences £1,000 a year for wellbeing 💫 If you’d like more info about our benefits or to get a better feel for how we work day to day, you can find more in our and on our . As one of a team of three backend engineers, you’ll work across the systems that underpin our products, and focus on reliability, security, and keeping things running smoothly in production. In practice, that means building and improving backend services, supporting distributed systems, and making sure we have the right observability approach in place, from logging through to alerting, so issues are easier to spot and quicker to resolve. You’ll take the lead across multiple backend components, whether that’s shaping system design, digging into complex production behaviour, or driving longer-term improvements to workflows, deployments, and platform performance. As the stack evolves, you’ll be part of conversations about new backend and cloud technologies and deciding what’s worth adopting. A few things that are worth knowing up front: There are no daily stand-ups or lots of recurring ceremonies. On average, you’ll have one meeting a week, and the rest happens asynchronously. You won’t be handed a spec and asked to implement it without question. You’ll work closely with PMs and designers, ask the right questions early, and help shape the technical approach. It’s not a people management role. We don’t work in a traditional management structure, so leadership here comes through technical ownership, leading projects, and supporting the team as you go. And while we do like moving quickly, we don’t ship to hit an arbitrary deadline. The goal is to build things exceptionally well, stay pragmatic, and avoid creating future problems. Comfortable working with a high level of autonomy, while staying pragmatic, collaborative, and open to feedback Experience building and operating large-scale backend systems Experience designing and working with distributed systems, cloud-native architectures, infrastructure as code, and service reliability Experience with at least one modern backend language such as Go, TypeScript, Java, or Python Able to lead complex engineering initiatives and bring technical clarity to ambiguous problems A solid foundation in API design, data modelling, and scalable storage strategies Experience in diagnosing performance issues and supporting high-availability production systems Familiarity with CI/CD pipelines, automated testing, IaC, and modern deployment tooling Good technical judgement, and the ability to communicate decisions clearly and thoughtfully Programming Language: Node/Typescript Databases: PostgreSQL, Firestore Cloud Provider: Google Cloud Monitoring, Observability & Logging: Prometheus, Grafana, Honeycomb, Google Cloud Back in 2017, we saw an issue with last-mile delivery. Delivery drivers have a complicated and stressful job, and although delivery software existed, it neglected the driver experience. We set out to create the app that puts drivers first. We were astounded by the response we received. Drivers told us their job was far less stressful, and they got home earlier every day. Within our first year, we had almost 1,000 customers, $100k in ARR, and a team consisting of our two co-founders, Jack and Pol. Now, with a lean team of ~50 talented people, we’ve grown to $25M ARR, helping over 100,000 drivers deliver more than 1.4 billion packages worldwide—about 40 every second! Our hiring process for this role has four stages, which usually takes ~three weeks. At every step, you will have the opportunity to ask questions and make sure that we are the right choice for you. 1) Meet our recruiter You’ll have a video call with our TA Director, _, who will tell you more about Spoke and get to know you, too. 2) Meet the hiring manager You’ll have a video call with _, our Engineering Manager and the person this role reports to, to discuss your technical skills and experience in more detail. 3) Paid take-home project At this stage, we will invite you to take part in a paid take-home project that gives you a chance to showcase your skills and a flavor of the types of challenges you’ll be working on here at Spoke. 4) Final call You’ll have a 30-minute final video call with our Founder and CEO, _, an informal chat, and an opportunity to meet. 🌿 If you need us to make any adjustments to our interview process, or if I can make you more comfortable for our first call, please let me know. Sadie Remote£110,000 - £110,000 per yearEngineeringUK Your application has been successfully submitted! _

At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges. We do this by living the [DI] code: We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness. “We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO We are hiring for developers for our growing Market Abuse Surveillance practice. What you’ll be doing: • Working with business users to define requirements for new application functionality, • Developing, testing, supporting and maintaining all code for client applications, • Assisting the Project Manager with all aspects of project delivery, • Working as part of a team to deliver projects on time and on budget, • Analysing data and creating reports for clients to present findings, • Mentorship and training of junior developers Experience and skills required: • Minimum 3+ years kdb+ development experience, • Knowledge and experience in KX Surveillance, or of technical solution development in a surveillance, context is highly advantageous, • Ability to learn new programming languages and financial concepts quickly - logical thinkers and problem solvers wanted, • Familiarity with Software Development Methodologies, • Good knowledge of the Systems Development Life Cycle, • Detail-orientated, results driven and in possession of a can-do attitude, • Capable of working both independently and within a team, • Excellent client facing skills, • Minimum 2:1 degree in Mathematics, Physics, Computer Science or any other scientific/engineering discipline Experience and skills desired*: *But don’t rule yourself out if you haven’t had the opportunity to develop these skills yet • Knowledge of Trade Surveillance technology and Market Abuse regulations in one or more jurisdictions, • Experience of other programming languages, e.g. Python, • KX Surveillance deployment and enhancement, • Experience with application of AI and Machine Learning, • Cloud development experience, • Experience of other data solutions, specifically Time Series Experience in an investment bank or large financial organisation, • People management experience, • Technical lead of project or sub-team What we offer: • Flexible working – we offer hybrid working so our people can achieve that elusive work/life balance., • Professional development – we offer extensive training, ranging from leadership to specific technical skills., • Progression opportunities - we run a biannual promotion process. Monthly 121s with your People Leader provides support to guide you and your career in the right direction., • International travel opportunities – we offer the opportunity to work internationally, with teams in Belfast, London, New York, Hong Kong & Singapore, • Healthcare cover – provider is dependent on region, UK is provided by Benenden Health, including 24/7 GP Service & Mental Health Helpline to give you peace of mind when it comes to your health, • Generous referral scheme – we love to see referrals and referring a friend means cash for you!, • Regular social events, prizes and giveaways – our talented social committee work hard all year round to provide exciting events across all regions to promote our value of togetherness A little background on DI Simply put – we turn big data problems into smart data solutions At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare. This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions. Fair employment and equal opportunities Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process. Welcome to Data Intellect. #ChallengeAccepted

We are transforming the flexible workspace industry! Valve was founded to propel forward and democratise access to the fast-growing flexible workspace industry. As work transitions to a more distributed and hybrid normal, flexible workspaces will be a key enabler of a richer, more enjoyable workplace experience for employees. We believe flexible workspaces confer huge social, lifestyle and economic benefits to all their occupiers through improved work/life balances, human-centric workplaces, greater communities, and lower occupancy costs. Valve provides vital industry infrastructure to professionalise and accelerate the flexible workspace revolution. Your new role: We’re hiring a world-class Senior Fullstack Engineer to build the next generation of products that power our marketplace and SaaS platform. You’ll join a high-performing team of engineers, working on sales and marketing automation tools that help workspace operators scale. This is a high-impact, product-centric role. You’ll take ownership of feature delivery from design through to deployment, help define architectural choices, and push boundaries on speed, scale, and user experience. You'll collaborate closely with product managers and designers to ship features that matter—and that our customers love. You’ll report directly to our VP of Engineering and work either from our London HQ or remotely within the UK. What will keep you challenged: Participate in the full development lifecycle, including planning, architecture discussions, quality assurance, and implementing a scalable platform. Contribute to the design and development of new features from a technical perspective. Collaborate with your team and Product Manager to propose and execute technical improvements. Generate ideas for code and process enhancements, working with your team to elevate performance and efficiency. Which skills/traits contribute to your success? 5+ years of experience building scalable web applications 3+ years production experience with NodeJS, TypeScript, ReactJS/NextJS, GraphQL & PostgreSQL Experience working with Python Experience working in a product-driven, cross-functional team in a tech-driven startup Excellent communication skills and fluent English A proactive approach to ownership—you don't wait to be told what to do Please note that we are looking for support in our London office. Eligibility to work within the UK is required as well. Our commitment to you: • Competitive salary, • Flexible working - we are pragmatic not dogmatic, be where you are most effective at producing the best outcome for the company., • Investment in your home working setup, we want to support your productivity, satisfaction and effectiveness., • Proven management and leadership team that invests time to progress your career as fast as possible - your rapid success is mutual interest., • Quarterly off-sites, monthly team nights out and annual international company events.Do you want to be part of a fast growing, exciting company? We look forward to receiving your application soon! Our Commitment to Diversity and Inclusion Valve is committed to diversity and equal opportunities for all – applicants and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences. Our diverse team has different ethnic and cultural origins, gender identities, sexual orientations, family arrangements, religious and political affiliations, socioeconomic statuses, age groups, and abilities.

Anyone AI is recruiting skilled Python Developers to work on a project with a leading AI lab. Qualifications: Advanced professional written proficiency in English 3–7 years of professional software engineering experience Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go Backend or full‑stack development experience in production systems Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing) Proven ability to debug and navigate large, multi‑file codebases Experience with code reviews, refactoring, and production migrations Engagement: Part-time, project-based expert evaluation work Work Type: Remote Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy. This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances). Responsibilities: Contributors will: Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing Write clear natural-language specifications and reference implementations Develop and extend unit and integration test suites Review peer-generated tasks for correctness, clarity, and realism Identify edge cases, ambiguities, and potential failure modes Ensure alignment between specifications, code, and expected outputs Expected Outcomes: High-quality, production-realistic coding tasks Complete and correct reference implementations Robust test coverage and validation artifacts Structured, actionable peer review feedback

A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising and workflows. Unlike traditional chat-based applications, our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. As Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. You translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real-world constraints. Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation. Architect and operate scalable inference systems, balancing latency, cost, and reliability. Design and maintain data systems for high-quality synthetic and real-world training data. Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership. Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies. Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products. Make pragmatic trade-offs and ship improvements quickly, learning from real usage. Work under real production constraints: latency, cost, reliability, and safety Research and models reliably translate into production-ready solutions with clear performance and quality targets. ML pipelines, training loops, and inference systems are stable, efficient, and maintainable. Production issues are detected, debugged, and resolved quickly, minimizing user impact. Team members are supported, aligned, and able to deliver high-impact ML work with minimal friction. Iterations on models and systems are measurable, safe, and improve user experience over time. Python PyTorch / JAX GPU-based training and inference system You have built or shipped real ML systems used by people, not just demos. You are comfortable working with large models and understanding their failure modes. You write strong, production-grade code and care about system correctness. You are self-directed, pragmatic, and take full ownership of outcomes. You communicate clearly and collaborate well in small, high-trust teams. The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

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!

Python Engineer (Django/Flask) Remote (UK-Based) Role Highlights: Position: Python Engineer Location: Remote within the UK Employment Type: Permanent Compensation: Competitive market salary plus equity options Overview: An innovative EdTech start-up is seeking a skilled Python Engineer to join their team. This company is changing education with an AI-driven platform that aligns with the UK National Curriculum, ensuring child-safe content and advanced safeguarding features. Key Responsibilities: Develop and maintain scalable backend services using Django and Flask frameworks. Design and implement RESTful APIs to support web and mobile applications. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the robustness and scalability of applications through testing and code reviews. Integrate MongoDB for data storage solutions as needed. Participate in agile development processes and contribute to continuous improvement. Qualifications: Proven experience as a Python Developer with expertise in Django and Flask. Familiarity with MongoDB or other NoSQL databases is a plus. Strong understanding of software development principles and best practices. Experience with version control systems like Git. Ability to work independently in a remote setting and manage time effectively. Excellent problem-solving skills and attention to detail. Why Join Us? Be part of a mission-driven company that's making a tangible impact on children's education. Enjoy the flexibility of remote work while collaborating with a passionate and innovative team. Opportunity to grow with the company and take on increased responsibilities. Competitive compensation package with equity options.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As the Engineering Manager of Semantic Understanding, you will lead a development team focused on extracting rules from the environment that influence driving behaviour. Initially, these will feed into ADAS functions such as lane assist, traffic sign detection, and ODD classification, as part of our ADAS One-Stop Shop product. Our AV2.0 approach to ADAS outperforms the current systems available in the market, enabled by large volumes of data, edge filtering, and validation at scale. We are looking for a system-oriented leader with cross-functional experience to bridge this world of conventionally perception-based features to end-to-end learning. Key responsibilities: • Help define and drive the Semantic Understanding roadmap, lead technical discussions and guide direction where needed., • Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact., • Understand Wayve’s end-to-end approach and how it maps to AV 1.0, drawing parallels in our development story and highlighting key advantages. This may include external engagements where necessary., • Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system., • Drive cross-functional initiatives through effective communication, working through organisational boundaries when necessary to deliver on company goals and priorities. In order to set you up for success as an Engineering Manager at Wayve, we’re looking for the following skills and experience. Essential • Proven track record of managing engineering teams., • Solid understanding of machine learning fundamentals., • Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables., • Track record of promoting software engineering best practices and excellence within the team., • Demonstrated ability to manage software engineers and grow their careers., • Good foundational coding knowledge and experience. Desirable • Experience developing ML systems., • Experience with perception systems, trained and deployed at scale., • Experience with offline autolabelling., • Experience with performance evaluation of embodied AI systems., • Development experience in Python., • Experience developing ADAS functions. This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Join the team redefining how the world experiences design. Servus, hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. Fun fact, a big part of our Austrian operations is developing the AI product within Canva to help reimagine how artificial intelligence can be used in design. Pretty cool ha! At Canva, our mission is to empower the world to design. We’re building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen—reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers—curating task distributions that surface real failure modes. Develop tooling for dataset construction—including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering—designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements—you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: • Equity packages - we want our success to be yours too, • Inclusive parental leave policy that supports all parents & carers, • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more, • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out _ for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Please note that interviews are conducted virtually.

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.

Data Software Engineer (Python PySpark) Remote UK to £95k Are you a data savvy Software Engineer with strong Python coding skills? You could be progressing your career in a senior, hands-on Data Software Engineer role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence; their platform enables an insurance quote to be made to the consumer within 60 seconds, using just 4 clicks. As a Data Software Engineer within the Claims team you will help shape the architecture of data products, building reusable technology that enables teams to ingest, store, transform and serve their own data products. You'll take a lead in data transformation, setting up best practices in areas like Data modelling, performance optimisation and Data Governance to ensure that the data used within the business is consistent, available and reliable. You will be supported with continual learning and self development opportunities and will be encouraged to contribute to testing open source tools and engaging in community building activities such as meet-ups, keeping up to date with new and emerging technologies and methods. Location / WFH: You can work from home on a full time basis from anywhere in the UK or work a hybrid model from the London office depending on your location / preferences. About you: • You are degree educated in a relevant discipline, e.g. Computer Science, Mathematics, • You have a software engineering background with advanced Python and PySpark coding skills, • You have experience in batch, distributed data processing and near real-time streaming data pipelines with technologies such as Kafka, • You have experience of Big Data Analytics platform integration with AWS, • You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases, • You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC, • You have excellent communication skills What's in it for you: As a Data Software Engineer (Python Spark AWS) you will earn a competitive package: • Up to £95,000 salary, • Remote working including flexible working hours, • Workplace nursery scheme, • Enhanced maternity package, • 25 days holiday plus ability to buy or sell 5 days p/year + extra "duvet day", • Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance Programme, • Weekly Yoga and monthly Acupuncture sessions, Headspace membership, • Diverse, inclusive team environment with a range of support networks, • A range of other perks including Perkbox, cycle to work, season ticket loan Apply now to find out more about this Data Software Engineer (Python Spark AWS) opportunity. Ref: PR/100084/A/KS/100725

Role title: Infrastructure and Cloud Services Engineer (Presales Focus) Salary: £50,000 - £60,000 Base Plus benefits Location: Cirencester/Hybrid (Requirements to work on site around the UK and in the office 2 days a week) This is a superb full time Infrastructure and Cloud Services Engineer opportunity to work across core infrastructure, Storage, Virtualisation, private Cloud (Nutanix, VMWare), Azure & Intune. This role will be 75% Pre-Sales and 25% Hands-On. The ideal candidate will have reseller or MSP background and will have worked with a multi-customer base. Your pre-sales/solutions experience will be around Proof of Concept (POC), Solution Design, Customer Facing, and you will also have the ability to do full implementations off the back of the pre-sales when needed. Main client base in in the M4 corridor and down in to London although client travel is minimal. The ideal candidate will be enthusiastic and demonstrate initiative - with an interest in developing technologies and keeping up to date with news skills in your their own time - R&D, exploring new tech etc. As a Presales focussed Infrastructure and Cloud Services Engineer, you will help shape and influence the technical strategy for the company while designing scalable, resilient, and innovative server, storage, and virtualization solutions. This role will lead the technical design and presales activities for infrastructure solutions (compute, storage, virtualisation, hybrid cloud). The role will involve a mix of technical presales and project delivery, primarily supporting customer engagements related to VMware, Nutanix, and cloud services. You will be a key contributor to the design, deployment, and lifecycle management of customer environments, helping our client grow its cloud and infrastructure service offerings. This role offers a pathway to specialise further into solutions architecture or technical sales leadership over time. Ideal experience - • Strong hands-on experience with VMware vSphere, vCenter, and related VMware technologies., • Strong hands-on experience with Nutanix Enterprise Cloud platforms., • Understanding of infrastructure sizing, HA design, backup/DR strategies, and performance tuning., • Good knowledge of hybrid cloud integrations and private cloud designs., • Customer-facing skills with the ability to translate technical requirements into business outcomes., • Experience with Modern Workplace technologies and solutions such as M365, Google Workspace, MS Intune, MDM Tools., • Experience with Azure and/or AWS environments (VM provisioning, storage, networking, IAM, cost control)., • Scripting and automation knowledge (e.g., PowerShell, Python, Ansible)., • Experience with backup solutions (e.g., Veeam, Carbonite, • Understanding of security principles related to infrastructure and cloud services., • Familiarity with enterprise storage technologies (SAN, NAS, HCI)., • Exposure to containerisation technologies (e.g., Kubernetes, Tanzu, Docker) would be advantageous., • Relevant certifications (e.g., VCP, NCP, Azure Administrator Associate, AWS Solutions Architect Associate). This role is ideal for someone passionate about infrastructure and cloud technologies who enjoys the blend of technical consulting and project delivery. You will be joining a fresh, vibrant, and ambitious team, with opportunities to further grow your career in cloud architecture, presales leadership, or technical consultancy. If your background aligns to the above requirements - please submit your application to Jackie Dean at Jumar for consideration. Candidates must be UK based and have the right to work in the UK without any restrictions. Jumar takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.

Who we are CreateFuture is fast becoming the UK’s most recognisable digital consultancy, with years of experience building digital products and services for major organisations whilst putting our people first. We have offices in the centre of Edinburgh, Leeds, Manchester, and London as well as remote employees located throughout the country. We are a team of creators - whether that’s code, project plans, go to market strategies, culture initiatives, marketing campaigns, large language models or people policies. And together, with our clients, we create the future. This has seen us collaborate and partner across a multitude of industries and sectors, with the likes of PayPal, adidas, Natwest, FanDuel and Money Saving Expert, to name just a few. Our reputation as a partner determined to deliver high-quality, robust and thoughtful products has enabled us to scale to over 500 people in the last couple of years, and it is our amazing people - along with the safe, supportive and friendly culture we have built - that makes CreateFuture a great place to work. Don’t just take our word for it though, we have been recognised by Best Workplaces UK multiple years in a row - across a number of categories - and our employee exit rate is astonishingly low. Join us on our journey… Let’s create something awesome, together, today. About the role and team: We're looking for an experienced Senior Data Engineer to join our growing Data Practice, specialising in iGaming. You'll work as part of a multidisciplinary team delivering data solutions for some of the world's largest betting and gaming operators — organisations processing millions of events per day across sportsbook, casino, and exchange platforms. This is a role for someone who understands the pressures of the iGaming data landscape: sub-second odds feeds, high-stakes data integrity requirements, complex regulatory reporting, and large-scale platform migrations from legacy on-premises estates to cloud-native architectures on AWS. What you'll be doing • Deliver large-scale data migrations from on-premises or legacy platforms to cloud-native AWS architectures, including Lakehouse implementations using Databricks or Snowflake., • Design, build, and optimise low-latency data pipelines that process real-time betting events, odds updates, and market data at scale., • Implement robust data quality, validation, reconciliation, and audit controls across betting, trading, and customer data domains., • Develop streaming and micro-batch data solutions using AWS Kinesis, Apache Kafka, or Amazon MSK to support real-time sportsbook and in-play data feeds., • Build and maintain data solutions using AWS services including S3, Glue, Lambda, Athena, Redshift, Lake Formation, Step Functions, and MWAA., • Support regulatory and compliance reporting by ensuring data pipelines are reliable, traceable, and meet audit and lineage requirements for the UK Gambling Commission and other international regulators., • Collaborate with architects, platform engineers, and cross-functional teams to design scalable, resilient, and high-performing data platforms., • Champion engineering best practices through high-quality code, automated testing, documentation, and peer code reviews, while mentoring junior engineers where appropriate., • Contribute technical expertise during solution design sessions, architecture discussions, and client workshops, providing input into delivery approaches and technical decisions., • You've worked in or closely with sportsbook, exchange, or casino platforms — and understand the data models behind markets, selections, bets, and settlements, • You've built or maintained low-latency data feeds — odds ingestion, in-play event streams, price change feeds — where milliseconds matter, • You understand the data integrity challenges specific to betting: reconciliation between trading and settlement systems, detection of data drift, and auditability for regulatory purposes, • You've delivered or contributed to large-scale data migrations — moving high-volume transactional or event data from legacy estates to the cloud without losing fidelity or uptime, • AWS is your primary cloud — you're confident across Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, and Step Functions, • You've built real-time or near-real-time pipelines using streaming frameworks — Kinesis Data Streams, Kafka, Flink, or Spark Streaming, • You understand AWS cost models and how to optimise high-throughput workloads — Spot compute, reserved capacity, and right-sizing for event-driven architectures, • AWS certifications are a bonus, • Solid experience with Python, SQL, and Spark — and pipeline tools such as dbt or Airflow, • Comfortable with data quality frameworks and testing — Great Expectations, dbt tests, or custom validation layers, • Experience with infrastructure-as-code (Terraform, AWS CDK) is a plus, • Familiar with broader cloud platforms — Azure (Data Factory, Synapse) or GCP (Dataflow, BigQuery) — is beneficial but not essential Primary cloud AWS — Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming AWS Kinesis, Apache Kafka / MSK, Apache Flink, Spark Streaming Languages Python, SQL, Spark Pipeline tools dbt, Airflow / AWS MWAA, AWS Glue Platforms Databricks, Snowflake, Amazon Redshift Data quality Great Expectations, dbt tests, custom reconciliation frameworks IaC / DevOps Terraform, AWS CDK (desirable) We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. It usually looks like this: • Call with our Talent Acquisition Team, • Role specific capability interview Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just. We will do what we can to help. We look forward to your application!

Treliant is a global consulting firm serving banks, mortgage originators and servicers, FinTechs, and other companies providing financial services. We are led by practitioners from the industry and the regulatory community who bring deep domain knowledge to help our clients drive business change and address the most pressing compliance, regulatory, and operational challenges. We provide data-driven, technology-enabled advisory, implementation, and staffing solutions to the regulatory compliance, risk, financial crimes, and capital markets functions of our clients. Founded in 2005, Treliant is headquartered in Washington, DC, with offices in New York, London, Belfast, and Łódź. For more information visit www.treliant.com. Treliant is committed to fostering a diverse, equitable and inclusive environment that values and embraces all races, religions, ages, abilities, gender, sexual orientations, ethnicities, languages, nationalities, political parties, socioeconomic groups and other characteristics that inform an individual worldwide view and experiences and systems of beliefs (“the principles”). We believe in championing every voice and ensuring everyone’s full potential. Responsibilities While the scope of each project may be different, your duties & responsibilities may include: • Working with global clients ingesting large volumes of high frequency time series data, • Working with business users to define application requirements and deliver new functionality, • Involvement in all aspects of SDLC – planning, creating, testing, and deploying software solutions, • Analyzing data and delivering concise insights to business users, • Working as part of a team to deliver solutions, • Assisting in training of junior developers, • Taking ownership of critical activities, • Developing a detailed understanding of how trading operations work within large scale financial organisations Qualifications • Strong educational background – Degree (Masters would be an advantage), • 2+ Years using KBD+ to develop software, • Experience with Unix environments, • Demonstrated client experience and track record developing software solutions, • Good knowledge and experience with SDLC, including design, architecture, developing code, testing, and deployment, • Experience with tick architecture, large scale data capture and data analysis, • Ability to write clean and efficient code, • Experience in other languages like Java, C++ or Python, • Excellent communication skills across all levels of seniority, • Strong interpersonal skills, with good relationship building and engagement skills, • Proficiency in Microsoft Office suite, particularly Excel, Word and PowerPoint We are committed to being an Equal Opportunity Employer and want to build a diverse, inclusive and authentic workplace. If you are interested in this role but don’t tick all the boxes, we encourage you to apply as you may be the perfect candidate for this or other roles. Benefits If you want to be part of a dynamic team of professionals, we invite you to join the team at Treliant. We invest in people, and challenge you to advance your career while achieving your aspirations and goals. Here at Treliant, we pride ourselves on our collaborative team culture, where we embrace diversity of thought and innovation. Career Development - We put an emphasis on personal and professional growth by providing all the training you’ll need to become a highly skilled Treliant consultant. Programs cover Finance, Regulatory, Technology, and Operational aspects of investment banking. Clients – As a Treliant consultant, you will be working with some of the top clients in the financial services marketplace such as top tier Investment Banks. Our roles place you at the cutting edge of the projects on which you’ll be working, and giving you the opportunity to learn from, work with and build relationships with the very best within those companies. Rewards – Treliant offers our permanent staff an excellent total rewards package, including competitive base salary, incentive schemes, flexible healthcare coverage and our company pension scheme. Core Values – Whether you are a Client or an employee, Treliant wants the best for you. All our relationships are based on our Core Values: Deliver Excellence, Constantly Innovate, Treasure Diversity, Be Nimble, Listen First, and Develop our People. Diversity & Inclusion – Treliant is committed to fostering a diverse, equitable and inclusive environment that values and embraces all races, religions, ages, abilities, gender, sexual orientations, ethnicities, languages, nationalities, political parties, socioeconomic groups and other characteristics that inform an individual worldwide view and experiences and systems of beliefs (“the principles”). We believe in championing every voice and ensuring everyone’s full potential. Right to Work Treliant is not in the position to provide sponsorship for this current position and so applicants must be able to work in the United Kingdom without requiring sponsorship. Please note, Treliant receive a high volume of applications for all roles. While we will endeavour to respond to all applicants, this is not always possible. Should you not receive a response to your application within 2 weeks, it is likely that you have been unsuccessful on this occasion. However, we would like to retain your details on our systems and may contact you should another potentially suitable vacancy arise. Treliant LLC is an Equal Opportunity Employer and does not discriminate on the basis of race, colour, national origin, sex, sexual orientation, genetic information, religion, age, disability, or military status in employment or provision of services. When contacted for an interview, an applicant who requires special accommodations due to a disability should notify the office so that proper arrangements can be made.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.), • Adapting guidelines for new domains and use cases, • Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Bachelor's Degree in Software Development, Computer Science, or other related fields., • You have at least 3 years of professional experience with Ruby, including strong knowledge of object-oriented programming, metaprogramming, and idiomatic Ruby practices., • Your level of English is advanced (C1) or above., • Proficient with code review, quality analysis, and identifying/fixing code smells, anti-patterns, and test gaps in Ruby codebases., • Experience with test integration in CI/CD environments (GitHub Actions, GitLab CI, Jenkins, or CircleCI)., • Comfortable with standard version control workflows (Git) and Linux CLI tools., • Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects., • Familiarity with containerization technologies (Docker), automated deployment, and scripting within Ruby environments., • Strong skills in defect documentation, profiling, and debugging Ruby applications., • Experience generating and maintaining high-quality documentation for tests, bugs, and technical debt., • Hackathon or competitive coding experience is a plus., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $44/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

Principal responsibilities will involve: • Turn large quantities of complex client data into insights which can be used to inform decision making and drive business benefit, • Are quick to identify incomplete and diverse data sets, pin pointing data issues which may affect the accuracy and completeness of any analysis performed, • Recognise the importance and value of understanding the data they are analysing, validating the information provided and reconciling the data • sets as part of the Data Analytics Cycle, • Produce data visualisations, detailed reporting and analytics underpinned with clear business commentary, • Work closely with multi-disciplined teams to deliver end to end client solutions in a timely manner • Balance the technical and analytical demands of their role, • Are open minded and flexible with a thirst for knowledge and an appetite for continuous development What Success Looks Like in the Role • Clear, concise and insightful data analytics which enable our clients to make sound business decisions based on fact, • Ability to translate data analysis into targeted information which can be converted into actionable improvements, based on specific client / industry need, • Continued improvement of Sagacity’s Product Suite through the delivery of robust data insight, • Ability to take accountability and ownership for client and internal deliverables, • Work as part of a Data Analytics team proving knowledge transfer support, peer to peer reviews and mentoring as a team to increase the team’s skill sites and drive continuous learning Competencies and Behaviours • Proficiency in analytical programming language such as python and/or SQL, • Understanding of relational databases and concepts for querying data, • Proficiency in tools like Tableau, and/or Power BI, • Can balance time across multiple projects. Plans ahead working backwards from deadlines with all necessary steps e.g. testing, QA. Proactively identifies risk and suggests mitigation, • Is inquisitive, suggests 'next steps’ analysis and translates analytical findings to actionable insight, • Commercial experience within Telecoms, Banking or Utilities industries; or within a data related consultancy company would be beneficial, • Able to travel throughout the UK, • Can be based at our London Office (min 2 days per week on site), • Have the right to work in the UK

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)., • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction., • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility., • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency., • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)., • Incorporate big data processing scenarios requiring scalable computational approaches., • Verify solutions using Python with standard data science libraries and statistical methods., • Document problem statements clearly with realistic business contexts and provide verified correct answers. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field., • You have at least 5 years of hands-on data science experience with proven business impact., • You have portfolio of completed projects and publications showcasing real-world problem-solving., • You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)., • You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications., • You are proficient in SQL and database operations for data manipulation and analysis., • You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)., • You have good understanding of MLOps practices and model deployment workflows., • You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

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 .

Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; _ Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. YYou will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third-party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co-owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real-time data capabilities as the business matures beyond batch processing Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem-solving to structured, agile delivery. Oversee the maintenance and optimization of high-performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company-wide goal of 80% self-serve analytics. 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low-maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real-time event processing. Experience in marketplace, B2C, or high-volume transactional businesses. Previous work in globally distributed data environments (multi-currency, multi-region, multi-language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: _ We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes - you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.

About us At Zego, we think traditional motor insurance holds good drivers back. It's too complicated, too expensive, and it doesn't take into account how well you actually drive. Since 2016, we've been changing that — building insurance priced fairly for good drivers, from van drivers and gig workers to everyday motorists. We've sold tens of millions of policies and raised over $200M in funding. And we're only just getting started. About the role We're hiring a Backend Engineer to join one of our product teams. This is a hands-on backend role for someone early in their career who's already shipping code professionally and wants to grow into a Backend Engineer — fast. You'll be supported by experienced engineers and a strong team culture, but we'll expect you to own your work, ask good questions, and actively drive your own development. This isn't a role for someone who wants to sit at this level for years. We want someone with their eye on what's next. What you will be doing • Building, testing, and shipping backend services that power products used by our customers every day, • Writing clear, well-tested code that you and your teammates will be happy to maintain, • Reviewing other engineers' code and learning from theirs, • Pairing with senior engineers on harder problems and levelling up along the way, • Asking questions, seeking feedback, and taking ownership of the things you don't yet know, • Using AI tools as part of your daily workflow — and helping the team get better at using them About you We don't mind which language you've been writing in. What matters is that you've been actively developing software in a professional setting and have solid programming fundamentals — data structures, basic algorithms, OOP, testing, version control. Our stack is mostly Python, and you'll pick it up quickly if you don't already know it. What we really care about: • Growth mindset: You treat gaps in your knowledge as opportunities, not weaknesses. You go and find what you don't know rather than waiting to be told., • Curiosity about AI: You're already experimenting with AI tools in your work, or you're hungry to. You see them as leverage., • Hunger to progress: You want to be a Senior Engineer, and you want to get there as fast as you reasonably can. You're up for putting in the work., • Initiative: You don't wait around for the next task or the next learning opportunity. You go looking., • Good communication: You can explain what you're working on, ask for help when you're stuck, and give useful feedback in code reviews. What’s it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things. We’re spread between Portugal and the UK, and united by our drive to get things done. We’re proud of our company and our culture – a friendly and inclusive space where we can lift each other up and celebrate our wins every day. Together, we’re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There’s loads of room to learn and grow, and you’ll get the freedom to steer your career wherever you want. You’ll work alongside a talented group who embrace each other's differences and aren’t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we’re making insurance matter. How we work We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. While some of our team choose to come into our central London office once a week, we’re flexible - some people prefer being in once a month or even quarterly. It’s all about finding the right balance between collaborative face time and focused home-working, so we can achieve great results while maintaining a healthy work-life balance Our approach to AI AI is changing how we work, and we want people who are leaning into that — using it to move faster, think differently, and focus on what matters. You don't need to be an expert. You do need to be curious and intentional about how you use it. Benefits We reward our people well. Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that’s just for starters! We’re an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status. #LI-Hybrid #LI-IL1

Bloom & Wild is re-inventing the $60B global flower industry. Over a billion flower exchanges take place every year and industry satisfaction levels are low. Driven by our vision of creating the destination for making life a little more thoughtful and beautiful, we do things differently. From inventing letterbox flowers to founding The Thoughtful Marketing Movement. And we’ve seen impressive traction to date - we are Europe’s largest direct to consumer flower company. In January 2021 we announced our £75 million Series D funding round, led by General Catalyst (backers of Airbnb and Deliveroo), alongside other top tier investors including Index Ventures (investors in Wise and Glossier). We are home to a family of 3 strong brands, Bloom & Wild, bloomon and Bergamotte, having acquired bloomon in April 2021 and Bergamotte in July 2021. Together, we are active in 8 countries. We were named one of the 5 fastest growing tech companies in Europe and are alumni of Tech Nation’s Future Fifty. We were also one of the Sunday Times Top 100 Small Companies to Work For 2020. We really care about creating a diverse and inclusive team and we welcome people from all backgrounds, with different perspectives, ideas and experiences to work with us. In our team, everyone has the freedom to give their opinion, grow in their career and be part of a genuinely caring and inclusive team. Tech Team @ Bloom & WildOur Technology team sits at the heart of our business, building and maintaining the solutions that power e-commerce, production, and fulfillment. Our platform uses technologies including Ruby and Rails and Python/React, backed by PostgreSQL, Fargate/ECS on AWS, and Cloud Run on GCP. It exposes APIs that are used by our multi-brand Angular webapp and our native iOS and Android mobile apps. We’re also looking at developing new domain-driven services & microservices where applicable. Our Product Engineering team is organised into cross functional squads, each responsible for a business and architectural domain, supported by Platform and Data Engineering. You’ll join the Range squad, a cross-functional team within our Ops-Tech group. We focus on the internal systems that power range representation, product allocation, and stock management — a core domain of our business that directly influences what our customers see and receive. Our work connects closely with many other squads across Bloom & Wild, as we support the smooth flow of products from planning through to delivery. Most of our team is based in the UK and works in a flexible model, with choice in how often they travel to the office. Our squads meet all in person at least once per quarter in order to maintain connections, collaborate on larger projects and have fun together. You can read lots more about our technology stack and our culture over on our tech blog - _. 💻 What you’ll be doing…As a mid-level engineer in our Range squad, you’ll help build and maintain the internal tools that power our warehouse operations — from bouquet assembly to order fulfilment across multiple countries. • Working closely with our product manager, engineers, and stakeholders to understand real-world needs and translate them into working software., • Building and improving our internal tools using Ruby on Rails and related technologies., • Making iterative improvements to our monolith while contributing to the development of new features to support our rapidly expanding curated range of products., • Writing clear, tested, secure, maintainable code and participating in code reviews to ensure high-quality solutions., • Exploring new ideas and opportunities to improve our monolith and workflows., • Helping to shape our technical decisions by sharing your ideas and contributing to discussions about architecture, tooling, and best practices., • Contributing to technical discussions and helping ensure our solutions align with our technical strategy and business goals., • Collaborating with your squad to deliver work in small, valuable increments — using agile practices and modern tooling., • Monitoring, debugging and improving the performance of our systems with observability tools., • You are a Ruby developer (2+ years of experience) with good knowledge of Ruby on Rails in a production environment and are keen to keep growing your expertise., • You have experience working with RESTful APIs, version control tools such as GitHub, and testing tools like RSpec., • You’re curious about how things work — whether it’s diving into a new tool, exploring performance improvements, or figuring out how real-world problems translate into code., • You want to work in a kind, inclusive, and supportive environment where people care about their work and each other., • You have experience working in a fast-growing (preferably consumer-facing) startup / scaleup., • You have experience of distributed service architectures, including how best to test and release them, and how to ensure system stability when making changes independent of other services.Why Bloom & Wild?To care wildly for our customers, first we care wildly for our teams. We work hard to craft a culture of thoughtfulness and care, where there is a strong sense of inclusion and belonging, enabling all of our people to thrive and be successful each day. 🌻Work that works for you - Flexible working : our core hours are 10-4, but outside of these hours you can start or finish your day when works best for you- Work Abroad for up to 30 days each year - Share in our success with a choice to take equity options from day 1- Enhanced family leave policy and a workplace nursery scheme- 1 day per year to volunteer on a project that’s close to your heart 🌴 Time off- 25 days’ holiday + your birthday and bank holidays each year- Option to buy an extra 5 days’ holiday each year - Flexible bank holidays - trade a bank holiday for another day that fits your beliefs, values and celebration calendar 🌱 Health & Wellbeing- Health cash plan through Simplyhealth- Mental health support through Open Up, including access to online therapy sessions- Allies and champions groups- Mental Health First Aiders and awareness training for our managers - In person or virtual yoga every week- Cycle to work scheme- Electric car scheme- Our office kitchen is stocked with drinks and snacks to keep you going- Financial wellbeing support through Bippit- Workplace pension contributions 🌳 Growth & Development- A flexible training framework for every stage of your career development through our Bloom & Learn programme- Access to the Goodhabitz learning platform- Mentee and mentor opportunities with our external partners, such as The Women's Association and Future Founders- Internal & external Speaker Sessions on a variety of different inspirational topics 💐 Moments that matter- Social & wellbeing monthly calendar- Summer and End of Year events, team lunches and post-peak celebrations- Irresistible discounts on our products, blooms & subscriptions! SponsorshipWe're proud to hold an A-rated sponsor license, so we can assign certificates of sponsorship. This means we can support applications from anywhere as long as the job is deemed suitable under the points based system. 🫱‍🫲 Getting hired We’ll do everything we can to make sure your interview experience with us is a good one. It’s a 2-way process, and we’re keen to answer all of the questions you may have, so that you can be sure (and excited!) that we’ll be the right place for you. If your application is successful you can expect: • The majority of our A chat with Leroy, our Talent Consultant for Tech - to discuss our role and learn a bit more about your skills and background and how we might match your career & development goals.- An interview with Tonci, our Engineering Manager to get into more of the detail.- A chance to show us how you work through a technical challenge, which can be a live paired coding/whiteboard session.A final chat with our CPTO or VP of Engineering. We believe in leading change for good, so do let us know if there’s anything we can do to support your application process. Also, if you have any feedback, please help us to improve our candidate experience by sharing (anonymously) _.

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on cagent, our open-source project (_), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems. Please note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement. As a Staff Engineer, you will partner with the engineering leadership to help set technical direction and serve as a guide and mentor as the team grows and matures Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience On-Call Rotation: Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration RAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (peferred) Python Proficiency: Experience with Python for AI prototyping and tooling (prefered) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) 8+ years of directly applicable experience Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience Integrate into our dynamic AI engineering team building containerized agent infrastructure Deep dive into cagent's architecture and our containerized agent deployment roadmap Contribute your first enhancements to cagent with the help of your team Understand our technical stack and begin collaborating with sister AI teams Lead significant features or improvements to cagent and our containerized agent platform Enhance agent deployment capabilities and container-based orchestration patterns Collaborate with the open-source community on cagent development Help other new team members onboard Regularly interact with internal stakeholders and analyze user feedback Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Continue to help grow the team and develop efficient agent development processes Contribute to evaluation frameworks and performance optimization across our agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases Grow your skills in enterprise-grade containerized AI system architecture and deployment Shape the future direction of cagent and Docker's agent ecosystem Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

DevOps Engineer Salary: Up to £85,000 p/a dependent on experience Plus access to annual bonus Hours: Monday to Friday, 8.30am to 5.00pm Job role: This is an exciting time to join the UK’s largest private healthcare telemedicine company based in Hastings, East Sussex, who are expanding their IT Team due to organic growth. Joining a dynamic team focusing on supporting Medica’s transition to a cloud‑native technology landscape. Reporting to the Technical Director, this role is responsible for building and maintaining the automation, infrastructure, and secure deployment architecture that underpin Medica’s clinical and operational applications. The DevOps Engineer will work closely with software engineering, data engineering, and infrastructure teams to design secure, scalable, and highly available cloud environments, ensuring consistent and rapid software delivery. This position is central to improving performance, strengthening security, and accelerating delivery as Medica modernises its technology estate, ultimately helping to enhance the services provided to clinicians and improving patient outcomes. You will design and maintain secure, scalable CI/CD pipelines and implement Infrastructure as Code to ensure consistent, automated cloud environments. Working across Medica’s cloud‑native platforms—from container orchestration and networking to identity and monitoring—you’ll develop observability capabilities and support reliable deployment workflows. You’ll troubleshoot infrastructure and pipeline issues, embed security and compliance controls, and contribute to incident response and continual improvement. The role also involves creating clear operational documentation, championing DevOps and cloud best practices, supporting cost‑optimisation efforts, and collaborating with the Technical Director to shape Medica’s evolving cloud‑native standards and architecture. Who we are: Medica is the UK’s leading telemedicine provider, supporting over 50% of NHS trusts with specialist reporting services across the globe. With over 240 head office staff and continued growth, now is a great time to become part of our journey. We welcome applications from all backgrounds and communities to help us build inclusive teams and a diverse workforce. We offer flexible working arrangements to support work-life balance and encourage everyone to be themselves at work. Requirements: Strong experience in DevOps/Platform Engineering roles building CI/CD pipelines and operating production services (Azure DevOps, GitHub, BitBucket). Extensive hands‑on cloud experience – Microsoft Azure essential (IaaS/PaaS, networking, IAM, storage, key management, monitoring). Proficiency with IaC (Terraform, Ansible, ARM Templates, Bicep) and scripting languages (PowerShell, Bash, Python). Strong experience with containers and orchestration (Docker, Kubernetes/AKS, Serverless platforms, ACA) and image security practices. Observability tooling (e.g., Azure Monitor, Application Insights, Prometheus/Grafana), log aggregation, alert design. Proven track record implementing DevSecOps controls (SAST/DAST, dependency scanning, secrets management). Sound understanding of networking (VNETs/VPCs, routing, DNS, load balancing, private endpoints) and zero‑trust principles. Experience working in regulated environments with change management, audit trails, and secure SDLC. Ability to adapt to changing priorities and work effectively in a fast-paced environment. Core benefits for you: 🕘 Flexible and hybrid working ⚖️ A company culture that promotes work life balance 🌱 Commitment from employers to continued learning and development 🧠 Access to Employee Assistance Programme 💸 Annual bonus 🌍 Enhanced holiday allowance + bank holidays 🕊️ Group life assurance 👵 Pension 🎉 Social events 🤒 Sick pay 🚲 Cycle to work scheme 🌳 Access to free and regular personal development & wellbeing events We request all applicants to complete a confidential equalities monitoring form. The data collected will help us identify recruitment trends and address any concerns. More information about Medica and the work we do can be found here - _ We are a 2024 Circle Back Initiative Employer – we commit to respond to every applicant. Your application has been successfully submitted! _

Senior DevOps Engineer - AWS (SC Cleared) Location: Remote Work Pattern: Full time permanent or contract Security Clearance: Must hold active SC Clearance The Company: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff. About the Role: We are looking for an experienced AWS DevOps Engineer to join our team. The ideal candidate will be responsible for the automation, deployment, scaling, and management of cloud-based applications and infrastructure on AWS. You will work closely with development, QA, and IT teams to ensure smooth and reliable operation of software and systems. Key focus areas include AWS cloud services, Kubernetes orchestration, Helm for managing Kubernetes applications, Docker, GitLab CI/CD, and API Gateways. Roles and Responsibilities: • Design, implement, and manage highly available, scalable, and secure infrastructure on AWS. Utilise services such as EC2, S3, RDS, Lambda, and CloudFormation to automate deployment and scaling of cloud-based applications., • Manage Kubernetes clusters across multiple environments. Automate the deployment, scaling, and management of containerised applications using Kubernetes, ensuring optimal performance and availability., • Use Helm to package and deploy Kubernetes applications. Create and manage Helm charts for deploying microservices, ensuring version control, rollback capabilities, and configuration management., • Build, deploy, and manage Docker containers for application development, testing, and deployment. Ensure seamless integration of Docker containers within Kubernetes environments., • Set up, configure, and manage AWS API Gateway to expose and manage APIs. Work with the development teams to ensure secure and optimised communication between microservices and external systems., • Develop and maintain CI/CD pipelines using GitLab to ensure continuous integration, delivery, and deployment of applications. Collaborate with the development team to optimise pipeline efficiency and ensure code quality., • Implement monitoring solutions using AWS CloudWatch, Prometheus, Grafana, or similar tools to ensure visibility into application performance, health, and security. Troubleshoot production issues and provide resolution., • Ensure the security of cloud infrastructure by implementing best practices like IAM roles and policies, encryption, and regular security assessments. Maintain compliance with relevant regulations and standards., • Work closely with software developers, QA engineers, and IT teams to define infrastructure needs and support software releases. Maintain clear documentation for infrastructure, processes, and procedures. Required Skills & Qualifications: AWS Expertise: • Strong hands-on experience with AWS cloud services (EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, etc.). AWS certifications are a plus. Kubernetes Experience: • Proficient in managing Kubernetes clusters and deploying containerised applications using Docker and Kubernetes. Experience with multi-cluster environments and Kubernetes troubleshooting. Helm Proficiency: • Strong knowledge of Helm for packaging and deploying Kubernetes applications. Ability to manage complex Helm charts for microservices architecture. Docker Experience: • Hands-on experience with Docker for building, managing, and deploying containers. Knowledge of Docker Compose and container orchestration within Kubernetes environments. GitLab CI/CD: • Experience with building and managing CI/CD pipelines using GitLab. Strong understanding of continuous integration and delivery processes, including automated testing, code linting, and security checks. API Gateways: • Hands-on experience configuring and managing API Gateways, particularly AWS API Gateway. Familiarity with API security, throttling, and monitoring. Automation & Scripting: • Proficiency in scripting languages such as Python, Bash, or PowerShell. Experience automating infrastructure tasks using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. Monitoring & Logging Tools: • Experience with monitoring and logging tools such as AWS CloudWatch, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana). Benefits: • Join a rapidly expanding start-up where personal growth is a part of our DNA., • Benefit from a flexible work environment focused on deliverable outcomes., • Receive private medical insurance through Aviva., • Enjoy the benefits of a company pension plan through Nest., • 25 days of annual leave plus UK bank holidays., • Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources., • Participate in a generous employee referral program., • A highly collaborative and collegial environment with opportunities for career advancement., • Be encouraged to take bold steps and embrace a mindset of experimentation., • Choose your preferred device, PC or Mac. Diversity & Inclusion: Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes: • Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued., • Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all., • Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace. By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities. What Happens Next? Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.

Job Title: Data Engineer Location: UK Job Type: Full-time Scrumconnect is a leading force in technology consultancy, proudly contributing to over 20% of the UK’s most significant citizen-facing public services. Our award-winning team has made a substantial impact, delivering more than 64 services in the past two years alone. This work has not only reached over 50 million citizens but also achieved considerable savings for the taxpayer, amounting to over £25 million. At Scrumconnect, we foster a community of talented consultants who thrive on collaboration, sharing knowledge, and continuous learning to address and solve complex challenges. Our mission is to combine advanced software engineering, human-focused design, and data-driven insights to deliver unparalleled service to our clients. We are looking to fill the position of Data Engineer to help develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development lifecycle process as part of multi-functional Agile delivery teams focused on one or more products. Role: Design, build, and operate simple, repeatable ETL data pipelines within distributed processing environments and cloud platforms, as well as localized single-node processing environments. Develop and produce prototyped then productionized code that can be deployed across a range of ETL, data validation, and other data production processes. Develop understanding of the native tooling of one or more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans, operational outputs. Participate in development and maintenance of in-house code libraries. Undertake unit testing to support common code development. Review business requirements to ensure they are clear and robust, and transform requirements into reusable production-ready code and/or effective data models. Understand the key principles of database design and be able to resolve technical problems in databases, data processes, data products, and services as they occur. Initiate actions, monitor services, and identify trends to resolve problems. Apply correct techniques in normalizing data and building robust relational structures in database products. Undertake basic data analysis, for example, for data profiling, QA, or problem resolution. Support queries from end users on data quality issues affecting data production; communicate issues and blockers to develop solutions. Undertake source system analysis and data profiling to confirm data quality and ensure accurate metadata. Understand relevant data sources, tools, and systems. Work with experts to develop validation frameworks for both simple and complex data sources. Communicate with customers, for example, to update on progress or confirm requirements. Using a working knowledge of cloud data engineering tools in assisting with the development of data pipelines, products, and automation processes. Work with other team members in development of tool performance logging and monitoring. Work with other team members in applying engineering team and community best practice in data products and pipelines. Experience predicting and advising on technology changes in the engineering toolset(s) and platform(s) you work on. Work with the team in implementing the transition to modern data platforms including Data Warehouse, Lakehouse, across the data products, pipelines, and processes you are responsible for. Engage with other professional communities (Data Science, Architecture, etc.) to identify emerging and cross-community issues affecting your role and escalate as necessary. Describe technical, data, pipeline, and production issues to colleagues of different specialisms. Communicate within the team and across teams to monitor expectations around delivery of data engineering, products, and pipelines, blockers, priorities, and issues. Escalate issues and blockers in delivery proactively. Familiar with developing data pipelines and products for very large volume 'big data' series using a range of native engineering tools and practices and coding approaches. A working knowledge of engineering standards across a platform and native toolset. Experience implementing these standards in the day-to-day role and keeping outputs up-to-date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL. Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI. Enterprise-scale experience with ETL tools (Informatica and or similar). Experience of data modelling and transforming raw data into datasets and extracts. Experience of working in a large project /scale complex organisation and knowledge of migrating legacy capabilities. Experience in Agile. Ability to analyse and collect information and evidence, identify problems and opportunities, and ensure recommendations fit with strategic business objectives. Experience of building team capability through role modelling, mentoring, and coaching. Ability to manage relationships with non-technical colleagues and can work in a collaborative, inclusive way. Ability to design, write, and operate ETL pipelines, in the context of distributed processing, applying coding, data, and documentation standards, in the language required by the business area. Understanding of the principles of data processing in a distributed and or cloud platform, and ability to use this understanding to ensure robust coding in a distributed or cloud environment. Able to write clean, efficient and well documented code for data processing tasks to a specification. Able to use Git for code version control to pull and push and review merge requests for team and own code. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Experience of one or more programming/coding languages listed: Python/PySpark, SQL, Proc SQL, NoSQL, MySQL, SQLite, Spark SQL, Hive SQL, PostgreSQL, SAS, SAS E-guide, Scala, RegEx, Java, R Investigate problems in systems, processes and services, with an understanding of the level of a problem, for example, strategic, tactical or operational. Undertake data profiling and source system analysis for data evaluation, issue resolution or data standardisation. Use metadata repositories to complete complex tasks such as data and systems integration impact analysis. Good knowledge of database structures, practices, principles of database integrity etc. Basic knowledge of applying database principles and SQL coding across a range of platform database and data querying tools (i.e. SQL Server, Cloud SQL, Big Query, Hive, Athena etc.) Show an awareness of opportunities for innovation with new tools and uses of data. Experience in more than one of the following tools is required for Engineers engaging in BI development: Plotly, R Shiny, Tableau, QlikView/Qlik sense, Power BI, SAP, Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical language. Explain the types of communication that can be used with internal and external stakeholders, and their impact. Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both. Able to explain and implement the concepts and principles of data modelling. Ability to create and run simple unit tests. Desired Qualifications Certifications in AWS, Azure, Databricks, or related technologies. Example _ Experience with public sector data initiatives and compliance requirements. Knowledge of machine learning and artificial intelligence concepts. Your working time at Scrumconnect will be split between multiple locations, including from our HQ and hub locations, client site or home. Travel requirements vary in frequency and take into account requirements of your work, our clients and the team. We welcome candidates from all identities, attributes and backgrounds to thrive with us. The diversity of our people should be reflected in the impact we deliver. Join us at Scrumconnect, where your highly demonstrable skills and expertise will drive the future of user-centred design in public services.

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 _.

_ is a fast-growing medical device software company headquartered in Bern, Switzerland. Our mission is to enable the right decisions sooner in healthcare, through transformative AI & data management solutions for disease screening and monitoring. Join our diverse team of entrepreneurs, developers, researchers, and commercial experts who are collectively shaping the future of healthcare. We are looking for a Cloud Engineer to join our team, where you will play a critical role in optimizing our cloud infrastructure to meet our customers’ needs. This position is pivotal to our mission of providing a seamless, secure, and scalable experience on our platform • Enhance and maintain highly available, secure, and scalable AWS cloud environments and services., • Manage and prioritize tasks in the cloud infrastructure backlog to address immediate needs and plan long-term improvements., • Set up infrastructure monitoring and observability solutions, proactively addressing availability, performance or security issues., • Learn the current infrastructure and take ownership of day to day cloud operational tasks and activities., • Assess new technologies, systems, and services for production readiness, ensuring seamless and stable integration., • Prepare and maintain documentation on cloud processes, procedures, and architectures to ensure clear understanding and team-wide knowledge., • Apply AWS Well-Architected Framework principles to evaluate and optimize our current infrastructure., • Contribute in out of office hour cloud deployments once or twice a month, • Conduct POCs (proof of concepts) on new AWS services, third-party tools, and technologies to drive continuous improvement in our infrastructure., • A demonstrated entrepreneurial and collaborative mindset with a proactive approach to problem-solving., • A university degree in Computer Science, Information Technology, or a related field., • 3-5 years of hands-on experience with AWS cloud services in a professional setting., • Proficiency with core AWS services, including IAM, S3, KMS, RDS, VPC, ECS, EC2, and more., • Experience working with multi-account and multi-region AWS production environment setups and using IaaC to manage them., • Strong hands-on experience with Infrastructure as Code (IaC) tools, preferably Terraform., • Scripting experience with one or more languages, such as Python, Bash, or Node.js., • Good knowledge of cloud security principles and services, such as AWS WAF, GuardDuty, Config and CloudTrail., • Familiarity with CI/CD pipelines and tools preferably GitLab, • Experience with software version control and Git., • Strong understanding of cloud networking concepts, including VPC, VPC Peering, Subnets, and Load Balancing., • Familiarity with monitoring and observability tools for cloud environments, such as Grafana, Prometheus, OpenSearch, and the ELK stack., • Strong analytical and problem-solving skills, with a proactive approach to challenges., • A genuine interest in staying updated with new AWS services and features, integrating advancements into the cloud environment., • Ability to work well in a flexible, startup environment, taking initiative to establish new processes when necessary., • Excellent verbal and written English communication skills., • Good listening skills., • Familiarity with industry best practices in cloud architecture principles., • Ability to work independently and collaboratively within a team setting., • Availability to work during Central European Time (CET) business hours. What We Offer • A chance to be part of an exceptional team driving innovation in healthcare., • A competitive salary in a supportive work environment that fosters work-life balance., • Opportunities for professional growth and development in an international setting., • A culture of collaboration and inclusion, which is fundamental to our ethos., • Occasional travel to our HQ in Switzerland, immersing you in our core operations and company culture.

Kalibrate exists to deliver the right insight, at the right time, to give organizations answers to their most challenging questions. We’re partners in growth. We serve decision makers across location and fuel pricing in markets all over the world — from high growth emerging concepts to the most established international operators. Our platforms and analytics solutions directly empower decision-making and provide clear financial value. These decisions help grow economies, create jobs, and improve the communities where we live, work, and play. Role Reporting to the Director of Data Science Research, the Data Scientist is a highly skilled individual contributor responsible for designing, developing, and deploying advanced data science solutions across Kalibrate's product portfolio. This role focuses in particular on our pricing product suite, applying leading statistical, machine learning, and AI techniques to deliver innovative solutions for fuel pricing while contributing to the technical excellence of the Data Science Research team. Key responsibilities include: Data Science Solution Development & Delivery o Apply statistical and econometric modeling, time series analysis, optimization methods, and generative AI to develop improved approaches to demand modeling, elasticity estimation, price recommendation, competition analytics, and related challenges. o Develop reusable tools, frameworks, and components to support and accelerate delivery of value from data science. o Deploy scalable and maintainable solutions to cloud environments, leveraging version control practices and robust code quality and documentation standards. o Work independently and as part of the Data Science Research team, contributing to research prioritisation and technical direction in collaboration with the Director and Product leadership. Technical Excellence & Mentorship o Demonstrate technical excellence by delivering high-quality, innovative solutions and championing best practices to ensure research outputs are reproducible, scalable, and maintainable. o Contribute to evaluation and adoption of appropriate tools, programming languages, and technologies. o Mentor junior team members, sharing knowledge and supporting their professional development. o Identify and contribute to patent opportunities and the company's intellectual property portfolio. Collaboration & Communication o Collaborate across Development, Product, Analytics, and Commercial teams to ensure solutions address business challenges and stakeholder objectives. o Partner with operational teams to ensure data pipelines and infrastructure are robust, secure, and optimized for research and production workloads. o Communicate technical concepts and outcomes effectively to both technical and non-technical audiences. Innovation & Continuous Learning o Stay current with developments in data science, machine learning, and AI, applying state-of-the-art techniques to project work. o Develop comprehensive knowledge of the retail fuel industry to understand domain challenges and help guide product innovation. o Share knowledge and promote best practices across the team and company. Profile Qualifications & Profile o Ph.D. or master's degree in a quantitative discipline. o Demonstrated track record of designing, developing, and deploying data science and machine learning solutions in commercial environments. o Expertise in statistical or econometric modeling and optimization techniques. o Proven ability to independently manage complex projects under tight deadlines while maintaining high standards of quality and reliability. o Strong written and verbal communication skills for both technical and non-technical audiences. o Cross-functional team collaboration experience with product, engineering, and business stakeholders. o Experience in pricing data science is desirable, particularly within the fuel or retail sectors. Technical Skills & Experience o Advanced proficiency in Python and/or R for data science development. o Proficiency in SQL for data extraction, transformation, and analysis. o Experience with version control (Git) and modern software engineering practices including code review and collaborative development. o Familiarity with using generative AI tools such as Github Copilot to support development and enhance productivity. o Knowledge of solution deployment with cloud platforms (preferably Azure), including containerization (Docker) and CI/CD pipelines is desirable. Location & Travel This a remote role within the UK. Travel to our offices in Manchester city centre, or client and partner locations, may be required for meetings and events. The Data Science Research team operates across multiple time zones globally, so working hours may occasionally need to flex to accommodate necessary collaboration with international colleagues. Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

About Us At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure Service Edge), SASE (Secure Access Service Edge) and Next-generation Managed Services, we are empowering organizations across the globe to transform their IT infrastructure for the modern cloud era. Our innovative products enable enterprises to deliver a seamless, scalable, and secure digital experience, no matter where their users, devices, or applications are located. Founded by industry veterans and backed by premier venture capital firms, Versa is a market leader driving innovation and growth as it positions itself for a future IPO. We believe in fostering a culture of innovation, collaboration, and customer success. Our team is comprised of passionate, forward-thinking professionals dedicated to driving the future of networking technology. We encourage creativity, offer opportunities for growth, and provide a dynamic environment where our people can thrive and make an impact. At Versa Networks, we don’t just build products – we build relationships, elevate businesses, and shape the digital future. Join us and be part of a fast-paced, cutting-edge company that's making a real difference in how the world connects and communicates. Job Summary We are looking for passionate, entrepreneurial, and tech-savvy Sr. Systems Engineers to help our customers and partners evaluate, adopt and expand the use of our technology. Responsibilities • Provide pre-sales technical support and technical expertise to our customers and partners with objective to achieve sales targets., • Establish trusted advisory role with strategic customers and partners (CIO, CISO)., • Enable and/or update partner network on product evolution., • Perform workshops with prospects or customers on product evaluations and do demonstrations., • Perform hands-on tests to validate customer proof-of-concept setups, network designs, and network deployments using new products and feature., • Respond to RFI’s/RFP’s., • Provide market and product feedback to product management and back-office., • Keep up-to-date on competitive solutions, products, and services., • Author whitepapers, knowledge base articles, and other customer/partner facing content. Qualifications • Experience in planning and designing or operating service provider or large enterprise WAN/LAN networks, • Knowledge on solutions on Cloud security with FWaaS, DLP, CASB, RBI and Malware prevention solutions., • Knowledge on technologies used in the security scene, such as proxies, SSL/TLS, VPN’s, Active Director/SAML/LDAP, threat prevention and mitigation, • Understanding networking and security architectures on the SASE framework., • In depth understanding of TCP/IP protocol stack and operation., • Knowledge on WAN technologies and protocols like MPLS, MPLS based VPNs, BGP, OSPF, QoS, NAT, Multicast., • Knowledge in architecting and/or managing large-scale, high performing and resilient Enterprise networking and security solutions., • Knowledge on Linux administration., • Beneficial Skills:, • Knowledge on best practices architectures for SaaS applications., • Hands-on experience in public and private cloud technologies such as AWS, Azure, Openstack, VMware., • Shell scripting, python scripting knowledge. Location: United Kingdom *Applicants must be authorized to work in the UK Why Versa? At Versa Networks, we believe in taking care of our people – both professionally and personally. We offer a comprehensive benefits package designed to support the well-being, growth, and work-life balance of our employees. When you join our team, you can expect: • Competitive Salary & Incentives: We offer a competitive compensation package with and pre-IPO equity to reward your hard work and dedication., • Health & Wellness: Comprehensive medical, dental, and vision insurance plans to ensure you and your family stay healthy and covered., • Paid Time Off (PTO): Enjoy a generous PTO policy that includes vacation days, sick leave, and paid holidays to recharge and take care of personal matters., • Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility of remote work, and hybrid option to create the work schedule that works best for you., • Professional Development: We believe in continuous learning. Access to training, certifications, and educational resources to help you grow in your career and stay ahead of industry trends., • Employee Recognition: We celebrate achievements both big and small, with regular recognition programs and awards that highlight your contributions to our collective success., • Collaborative Culture: Be part of a dynamic, inclusive, and supportive team where innovation and collaboration are at the heart of everything we do., • Parental Leave: Generous parental leave policies to support you during life's important moments. At Versa Networks, our benefits are designed to help you thrive both inside and outside the office. Join us and experience a rewarding, fulfilling career in a supportive environment that values your health, happiness, and success. Versa Networks is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you’re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Location: We prioritise candidates who are based in Dubai then consider those working remotely in one of our European Hub Locations (UK, Spain or Germany). We are seeking a talented Data Scientist with focus on product analytics to join our Data & Analytics team and drive data-driven decision making across our organisation. In this role, you will analyse complex datasets, conduct research, and provide valuable insights to support product strategy and business growth. You must have Data Science experience. • Analyse and interpret large-scale on-chain and off-chain datasets to inform business decisions, • Design and maintain data collection processes and event storage systems, • Conduct research to identify patterns, trends, and growth opportunities, • Create intuitive dashboards and data visualisations for internal teams and external partners, • Propose and test hypotheses with empirical evidence, • Monitor and evaluate product metrics and user behaviour patterns, • Present findings and recommendations to stakeholder, • 3+ years of experience in data/product analytics, • BS in Computer Science, Engineering, Statistics, or related field, • Design and maintain data collection processes and event storage systems, • Conduct research to identify patterns, trends, and growth opportunities, • Experience creating intuitive dashboards and data visualisations for internal teams and external partners, • Excellent communication skills with ability to present complex findings to diverse stakeholders, • Proficiency in creating data visualizations and building analytical dashboards (Mixpanel, Metabase), • Intermediate SQL, Python knowledge, • Familiarity with A/B tests and Casual Inference, • Understanding of product analytics and user behaviour analysis, • Crypto/Web3 analytical stack (Dune, Nodes, Flipside), • Low level blockchain data understanding (traces, events), • Experience in uncovering business-driving data insights, • Join a young, creative team in a fast-paced and supportive environment, • We’re open to new ideas — if you’ve got a vision, pitch it and make it happen, • Enjoy competitive pay that matches your skills and experience, • Be part of a company that’s shaping the future of DeFi, • Take time when you need it — we offer unlimited vacation days, • Get fully compensated for your work gear — we’ll set you up for successWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the role: We’re looking for a Senior Software Engineer to join our Global Compliance team. Commercial drivers in North America are subject to drive time limits that dictate their maximum allowable daily, weekly and monthly driving times. There are numerous exemptions to these limits that are available to drivers under certain circumstances. This team helps our customers manage this complexity and optimise their driver operations while remaining compliant with the law. You will develop systems that allow customers to record, monitor and report on drive times, while making it easy for them to prove compliance to regulators and law enforcement. You will work with others in the team to ensure the system is operating smoothly. You will work across the entire Samsara stack, by writing firmware code, working on our cloud-based back end systems and building features into our mobile apps. This is a remote position open to candidates based in the United Kingdom. Relocation assistance will not be provided for this role. You should apply if: • You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely., • You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations., • You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go., • You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes., • You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together. In this role, you will: • Work with product managers, designers, and engineers to build and deliver features across firmware, back-end, browser and mobile. GoLang, GraphQL, Typescript, React and React Native are some of the components of our technology stack. Direct experience with these technologies is not required., • Solve problems that enable our product for our global customers., • Work with the team to maintain the production systems that you own and keep a high bar for system operation., • Coach, mentor and guide engineers in the team, playing a part in their growth and development. Also, receive support on your own personal development., • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: • 5+ years of experience designing and building products in a skilled software engineering team., • Strong programming/coding fundamentals in a language such as Java, Python, or Golang., • Ability to solve difficult, ambiguous problems in a methodical manner. Good level of comfort working on tasks where there is limited data or precedent., • Experience designing, building and maintaining large-scale systems., • Ability to estimate, communicate, and deliver upon project milestones with your team., • Proactive growth mindset, always looking at ways to improve the status quo., • Experience with building ML/AI-enabled products., • Improve operational health, observability, and cost efficiency to keep systems scalable and sustainable., • Demonstrated ability to help develop the technical mastery of our newer engineering team members. An ideal candidate also has: • Experience with Go, JavaScript, TypeScript, or similar programming languages., • Experience in developing, deploying and maintaining distributed, highly scalable software.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational STEM problems that simulate real scientific workflows., • Create problems that require Python programming to solve., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches., • Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)., • Document problem statements clearly and provide verified correct answers. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field., • You have at least 5 years of Machine Learning experience with proven business impact., • Strong programming skills in Python (numpy, pandas, scipy, sklearn)., • Solid understanding of numerical methods and computational algorithms., • Research or industry experience involving computational problem-solving., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

Broster Buchanan are partnered global business within the food industry with a turnover of £8Bn+ who are looking for a Fabric Data Engineer to join as they set up an exciting new project team within the group. This would suit an experienced Azure Data Engineer with good Fabric experience looking to join a new, growing team with plenty of exciting projects and cutting tech on the horizon. This will be a mostly remote role but would suit someone near Liverpool, Birmingham or London as there will be ad hoc travel into the office when required for onsite meetings, workshops etc. 1-2 times per month. A salary of £55k - £65k + 10% bonus is on offer. Responsibilities: • Help set up and deliver the future direction of strategy and approach to the management, storage and usage of data, • Collaborate with their wider technology and business teams to ensure goals and visions are aligned and achieved, • Help with setting up the data warehousing and lake processes, including collaborating with their architecture teams to figure out what that will look like, • At times, guide and mentor the junior data engineers within the team, reviewing their ideas, providing feedback and identifying their knowledge gaps to support their development, • Design, develop, and manage data pipelines using Fabric Data Factory, • Leverage Fabric Data Integration for seamless data source integration, • Implement and maintain robust data governance frameworks with Fabric Data Management, • Create and maintain interactive dashboards and visualizations in Power BI and Tableau, • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions, • Monitor and troubleshoot data processes, ensuring performance and reliability, • Document data workflows, processes, and system architecture Requirements: • Good experience with Azure technologies for Data Engineering, with 12 months or more using Fabric tools as part of real world projects, ideally through the end to end project lifecycle, • Strong experience with setting up and using big data storage solutions, including data warehouses, data lakes or data lake houses, • Able to build and demonstrate a solid understanding of the concepts of real time data streaming, batch data processing and data transformation processes, • Experience with core tools such as Data Factory, Databricks, Synapse, Kafka and Python, • Any exposure to data migration/ETL would be highly beneficial, with SQL/T-SQL, SSIS, SSRS and SSAS, as there is a large data migration project planned, • Any previous experience with setting up data governance and processes would be highly beneficial, • Good proficiency in Power BI and Tableau, • Strong knowledge of data integration techniques and ETL/ELT processes, • Experience with data modelling, data warehousing, and data governance best practices

Location: UK (Remote) Department: Engineering Hours: Full-time Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto. As a Data Engineer in this role, you will be responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team. Your work will include instrumenting systems for performance, and enhancement throughout. You will work on ensuring these data offerings are to various internal & external stakeholders using secure authentication patterns. Your role will include choosing and implementing the appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption while considering the unique domain knowledge of the client's business. As a senior collaborator on the team, you will coach & mentor other engineers to support the growth of their technical expertise. • Proven experience writing highly maintainable, performant Python and JavaScript code;, • Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow (or similar);, • Understanding of Data Modelling patterns;, • Deep knowledge of complex SQL, with emphasis on Common Table Expressions, window functions, and their performance;, • Experience with end-to-end monitoring & alerting experience (CloudWatch, Datadog, etc.)., • Problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;, • Comfortable working in a dynamic production environment and taking care of client expectations effectively;, • Distinct customer focus and quality mindset;, • Experience working closely with engineering leadership and architects to deliver high-quality solutions;, • Experience maintaining a high degree of ownership and transparency in deliverables;, • An exemplar of YLD’s brand and safe-guarder of our reputation;, • Exceptional communication skills, able to communicate complex ideas simply. As well as the chance to work with a forward-thinking, ethical, and fun group of people, you’ll also get: • Company Private Health care (currently provided by BUPA), • Enhanced fully paid maternity and paternity leave for up to 6 months, • Company’s Pension Scheme, • 25 days annual holiday (excluding Public Holidays), • £2000 annual allowance for Training/Conferences, • £300 annual allowance for additional hardware, • Mental Health support: access to Spill app, • Meditation/Sleep support: Headspace or Calm app subscription, • Bonus (depending on Company performance and results), • Company laptop, • Generous referral schemes Our typical Recruitment Process looks like this: • 1st Interview with someone from the Talent team (30/45 mins), • Technical Interview with our Senior Developers (1h30) We live and breathe our values, and know you will too: • Growing every day, • Including everyone, • Relationships built on honesty and ethics, • Inspiring solutions, • Winning together We’re an equal-opportunity employer and value diversity of all kinds. We don’t discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. Likewise, we also offer a remote-first working environment, meaning that flexible working and work-life balance come as standard for all employees.

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.

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.

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! We are looking for a Principal Software Engineer (Docker Agents) to join Docker’s AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents—providing isolation, portability, and reproducibility. You’ll be working on cagent, our open-source project (_), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker’s container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You’ll define the technical vision, lead architecture decisions, and partner with engineers and leaders across Docker to bring containerized agent capabilities into Docker’s developer experience. Technical Leadership & Architecture: Define and drive the long-term technical strategy for Docker’s containerized agent platform, including core primitives, APIs, and extensibility patterns Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment, orchestration, and lifecycle management Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers across local and cloud environments Evaluation & Testing: Define evaluation frameworks to measure agent quality, reliability, and production readiness; plus the deployment effectiveness of containerized runtimes Reliability & Operability: Establish standards for observability, performance, and operational excellence; lead critical production decision-making and incident learnings as needed Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Lead cross-functional technical discussions and influence architectural decisions across Docker’s AI initiatives (including sister teams and platform efforts) Mentorship & Enablement: Mentor senior engineers, raise the bar through design reviews, and accelerate team execution through clear technical direction and coaching 10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff/Principal level or equivalent scope) Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development patterns System Architecture: Proven ability to design scalable, distributed systems in production environments Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration Cloud/Platform Depth: Experience building and operating platform services with strong foundations in observability, CI/CD, and security principles Operational Excellence: Experience operating and evolving high-availability production systems with a focus on reliability and performance Influence & Communication: Exceptional communication skills and ability to influence across technical and business domains AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) Integrate into our AI engineering team building containerized agent infrastructure Deep dive into cagent’s architecture, project roadmap, and the developer problems we’re solving Identify the highest-leverage architectural and execution risks/opportunities; align with stakeholders on priorities Contribute initial improvements to cagent and the containerized agent runtime foundations Lead significant platform features or architectural improvements to cagent and our containerized agent ecosystem Establish (or materially improve) technical standards for evaluation, reliability, and operability of agent systems Drive alignment across internal teams on APIs, integration points, and a cohesive developer experience Mentor engineers through design reviews and help accelerate onboarding and execution Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Shape the long-term technical vision and execution plan for Docker’s agent ecosystem (open-source and product surfaces) Establish repeatable engineering practices for quality, performance, and operational excellence in agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases and broader platform integrations Grow the team’s technical capabilities through mentorship, strategy, and pragmatic delivery Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

Lead Full Stack Developer (SC Cleared) Location: Remote The Company: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff. Job Overview We are seeking a highly skilled Lead Full Stack Developer t join our dynamic team. You’ll spearhead the development and enhancement of web applications using React, Next.js, Node.js, and Python Flask. You'll oversee the cloud infrastructure on Azure, ensuring scalability and reliability. Additionally, you'll design and maintain databases and integrate authentication and messaging. Your role includes designing secure, high-performance API endpoints and collaborating with cross-functional teams to deliver innovative solutions. We're looking for a proactive individual passionate about technology and continuous learning, who can stay updated with industry trends and contribute to a variety of projects. Key Responsibilities: • Design and Develop: Create, design, and maintain robust and scalable web applications using React, Next.js, Node.js, and Python Flask., • Cloud Services: Implement and manage cloud-based solutions using Azure., • Data Management: Design and maintain database systems using Postgres and Typescript ORMJS., • API Development: Design and implement API endpoints, ensuring they are secure, reliable, and efficient., • Integration: Integrate various systems and services, ensuring seamless communication using Keycloak for authentication and KUBEMQ for messaging., • Collaboration: Work collaboratively with other team members, including front-end developers, back-end developers, and QA engineers., • Continuous Improvement: Stay up-to-date with the latest industry trends and technologies to continually improve the development process. Experience: Technical Skills: • Leadership experience, • Proficiency with Azure for cloud services., • Strong knowledge of React, Next.js, and Node.js., • Experience with SPlink and Python Flask., • Expertise in Postgres and Typescript ORMJS., • Knowledge of Keycloak for authentication and KUBEMQ for messaging., • Proficient in API endpoint design and implementation. Why Join Us? Be part of a dynamic and innovative team, with opportunities for professional growth and development. Competitive salary and benefits package. Opportunity to shape and influence asset management strategy in a fast-paced environment. Benefits: Join a rapidly expanding start-up where personal growth is a part of our DNA. Benefit from a flexible work environment focused on deliverable outcomes. Receive private medical insurance through Aviva. Enjoy the benefits of a company pension plan through Nest. 25 days of annual leave plus UK bank holidays. Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources. Participate in a generous employee referral program. A highly collaborative and collegial environment with opportunities for career advancement. Be encouraged to take bold steps and embrace a mindset of experimentation. Choose your preferred device, PC or Mac. Diversity & Inclusion: Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes: Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued. Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all. Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace. By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities. All employees (Must hold current active SC Clearance). Please be advised that, at this time, we are unable to consider candidates who require sponsorship or hold a visa of any type. What Happens Next? Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.

WHO WE ARE Come join the company reinventing data security, empowering businesses to realize the full potential of their data. As the leading data security platform purpose-built for the cloud era, Cyera’s mission is to reinvent how businesses secure data, enable agile collaboration, and boldly pursue new business opportunities. Trusted by security teams at leading global businesses, our team is proving that data security is the next big thing in cyber. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data security. THE OPPORTUNITY We are searching for a highly skilled Customer Success Engineer to play a key role in optimizing our customers' utilization and return on investment in Cyera. This position offers an exciting chance to join a thriving organization and contribute to the forefront of data security, making a significant impact on the protection of data for numerous global enterprises. As part of this role, you can expect to travel between 25-50% annually, enabling you to engage directly with clients and enhance their overall experience. RESPONSIBILITIES As a Customer Success Engineer, you will play a crucial role in ensuring customer satisfaction and success by: • Serving as the primary technical expert on the Cyera Platform, demonstrating in-depth knowledge and expertise., • Establishing yourself as a trusted advisor to customers at all levels, from practitioners to executives., • Driving customer adoption through effective onboarding and training processes., • Gaining a deep understanding of customers' requirements, challenges, and desired business outcomes, and then designing and delivering customized use cases that align with their goals using a consultative approach., • Proactively ensuring that customers are realizing the full value of their investment and maximizing their return on investment by consistently driving sustained adoption of Cyera's platform. You will act as the leader for ongoing engagement and expansion, helping customers achieve their business and technology objectives., • Proactively identifying and resolving any obstacles or blockers that may impede customer success, collaborating with peers to address them promptly., • Advocating for the customer's voice and feedback, actively influencing Cyera's roadmap and product development., • Utilizing self-paced training resources to support customer education and promote knowledge growth throughout their journey., • Troubleshooting and resolving technical issues impacting customers, ensuring smooth operation and seamless experiences., • Monitoring and reporting on the overall well-being of customers, tracking key health and usage indicators., • Collaborating with customers to develop joint success plans., • Documenting and sharing best practices both internally and externally to foster knowledge sharing and continuous improvement., • Mentoring other team members, sharing your expertise and assisting in their professional development., • Participating in the interview process to help identify and onboard talented individuals to the team., • Conducting Quarterly Business Reviews with customers, evaluating progress, and identifying areas for further improvement and collaboration. REQUIRED QUALIFICATIONS: • Associates degree or equivalent experience required. Bachelor’s degree in Computer Science or similar experience a plus, • 12 years experience in Strong project management skills, enabling you to effectively plan, organize, and execute multiple projects simultaneously while maintaining a strong attention to detail, • A self-starter who thrives in an ambiguous, fast-paced, and deadline-oriented startup environment., • A results-oriented mindset, with a proven track record of driving revenue growth, ensuring customer satisfaction, promoting feature adoption, and maximizing customer retention., • Prior experience collaborating with Development teams., • Proficiency in SQL, scripting languages (e.g., Python or equivalent), and hands-on experience with cloud environments., • 3+ years of hands-on experience with data technologies and cloud technologies, including databases, cloud infrastructure and basic administration (e.g., cloud networking, data and compute assets, IAM and permissions, etc,), • Experience with programming or scripting languages and familiarity with APIs and web services, • Demonstrated expertise in DLP (Data Loss Prevention), Data Privacy/Protection, DSPM/CSPM (Cloud Security Posture Management), SIEM (Security Information and Event Management), or vulnerability management with hands-on experience preferred., • Prior experience working in a software company in a technical customer-facing role is essential., • Demonstrated track record of owning customer relationships, including onboarding, renewal, and expansion., • A self-motivated, proactive, and innovative team player who consistently strives to inspire customer loyalty., • Excellent interpersonal and customer relations skills, particularly when it comes to building and nurturing strategic relationships., • A clear and concise verbal and written communicator, capable of conveying complex information effectively., • Proficiency in leading both executive meetings and technical workshops, demonstrating confidence and expertise., • Ability to work autonomously, tackling even the most intricate challenges, and successfully completing tasks that may lack comprehensive documentation. They will actively participate in projects aligned with their current skill set, seeking assistance primarily for more complex initiatives or issues. COMPENSATION INFORMATION: The range represents total compensation, and may include company bonus, incentive for sales roles, equity or benefits, as applicable. This compensation range represents Cyera’s good faith and reasonable estimate of the range of possible compensation for this role at the time of posting, and Cyera may ultimately pay more or less than the posted range. The final salary for this position will be determined in Cyera’s sole discretion, consistent with applicable law, and based on a variety of factors, including but not limited to the employee’s work experience, skills, and qualifications for the role, as well as the needs of Cyera’s business and other operational considerations. Final compensation will vary based on seniority and relevance of experience, location, and position requirements. This role may be eligible for potential merit increases based on factors such as individual or company performance, time in role, and other discretionary factors. BENEFITS - Why Cyera? • Ability to work remotely, with office setup reimbursement, • Competitive salary, • Paid holidays and sick time, • Health, vision, and dental insurance

Legal & General (L&G) is a leading UK financial services group and major global investor. We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders. We are one of the world’s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income. L&G Institutional Retirement looks after around 700,000 institutional customers who have their retirement benefits secured with us. Operating continuously in the UK market from our entrance in 1987, we are the UK’s longest-running insurer. Our Institutional Retirement division provides pension risk transfer (PRT) solutions for UK and US defined benefit (DB) schemes, and reinsurance solutions from our global hub in Bermuda. We work with companies, DB pension schemes and their advisors to help them secure and protect scheme members’ retirement benefits. Joining us means you’ll support customers’ financial security in retirement; help companies to settle their pension liabilities and focus on growing their businesses; and enable investment for the long term to back our pension promises. Recruiter: Olivr England (_) Internal Closing Date: 11/07/2025 We’re recruiting for a Model and Financial Controls Team Senior Analyst to join us on a 12 month secondment. . What you'll be doing: • Managing and maintaining the EUC (End User Computing) model inventory, • Supporting the business with EUC-related queries and audit actions, • Producing management information for senior stakeholders and committees, • Conducting deep dives into financial processes and identifying control gaps, • Mapping processes and recommending improvements to reduce operational risk, • Assisting in embedding IFRS 17 into business-as-usual operations, • Engaging with stakeholders to improve risk culture and awareness, • Collaborating with teams across Finance, Investments and Pricing Who we're looking for: • Part-qualified or qualified accountant or equivalent finance professional experience, • Strong organisational and stakeholder engagement skills, • Good understanding of financial reporting and IFRS 17 processes, • Knowledge of financial controls and risk management, • Good communicating skills and can work effectively in a team environment, • Comfortable using tools like Power BI, Alteryx, R or Python (desirable), • A proactive, solutions-focused mindset Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer: • The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes, • Generous pension contribution, • Life assurance, • Healthcare Plan (permanent employees only), • At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday, • Competitive family leave, • Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only), • There are the many discounts we offer – both for our own products and at a range of high street stores and online, • In 2023, some of our workspaces were redesigned. Our offices are great spaces to connect and collaborate and have your wellbeing at the heart At L&G, we believe it's possible to generate positive returns today while helping to build a better future for all. If you join us, you’ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel. We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can. It doesn’t matter if you don’t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.

Location: Remote (United Kingdom) Salary: £55,000–£70,000 DOE, with room to grow as the company grows Contract: Full-time, 40 hours per week Reports to: Engineering Leadership You must already have the right to work in the UK, as we're unable to sponsor visas for this role. About the Role We're looking for a Senior DevOps & Platform Engineer to join our engineering team and take technical ownership of our cloud platform, infrastructure and operational tooling. You'll work alongside our software engineers to build, maintain and improve the AWS and Kubernetes platform that powers OpsPilot, while continuing to evolve our CI/CD pipelines, observability platform, security controls and compliance processes. This is a hands-on engineering role. You'll combine platform engineering, infrastructure automation and software development, helping to create a reliable, secure and scalable platform that enables the whole engineering team to deliver software with confidence. You'll be trusted to shape technical standards, improve developer experience through automation, and ensure our platform continues to support both our engineers and our customers. Ideas carry the same weight here regardless of who they come from or how long they've been with the company. You'll be judged on the strength of your thinking, collaboration and engineering decisions rather than your title. Success in this role will be measured by the reliability, security and maintainability of our platform, the quality of the engineering practices you help establish, and your ability to work collaboratively across the team. About OpsPilot OpsPilot is an AI-powered observability and operational intelligence platform, helping engineering and operations teams detect, understand and resolve production issues faster while increasingly automating operational workflows. As a team, we build and operate the same kind of platform we sell. The operational challenges we solve internally often become the next capabilities we deliver to customers, giving every engineer the opportunity to directly influence the product. Key Responsibilities Platform Engineering • Own and maintain our AWS and Kubernetes platform., • Develop and maintain infrastructure using OpenTofu / Terraform., • Improve our CI/CD pipelines and deployment automation., • Maintain and evolve our observability platform., • Define and maintain engineering standards for infrastructure, deployments and platform operations., • Monitor cloud costs and identify opportunities for optimisation. Engineering Collaboration • Work closely with software engineers to improve platform capabilities and developer experience., • Build tooling and automation that improves developer experience and engineering productivity., • Share knowledge and provide guidance on infrastructure, cloud technologies and operational best practices., • Help establish practical engineering standards that support reliable software delivery. Security & Compliance • Own and maintain our SOC 2 compliance programme., • Improve security controls and engineering best practices., • Work with the wider engineering team to ensure compliance activities become part of normal engineering workflows. Product Engineering • Contribute to technical design and architecture., • Develop internal platform capabilities and customer-facing features for OpsPilot., • Use AI-assisted development and automation where it improves engineering outcomes. Skills & Experience Essential • Around 4+ years' relevant experience in DevOps, Platform Engineering, SRE, Cloud Infrastructure or a closely related role. We're far more interested in your approach and trajectory than a long CV, so don't be put off if you're towards the lower end of that range., • A track record of helping development teams adopt new practices or ways of working. This matters more to us than any individual technology and is something we'll explore as much in the interview as on your CV., • Able to influence engineering practices through collaboration, technical leadership and strong communication rather than formal authority., • Strong experience with AWS and Kubernetes in production., • Experience with Infrastructure as Code (IaC) principles and practices., • Experience developing production software, not just operating it., • CI/CD and infrastructure automation., • Experience working within production SaaS environments. Desirable • Experience with OpenTofu or Terraform., • Experience with SOC 2 or ISO 27001, ideally including coordinating or running audits., • Experience with the Grafana LGTM stack or similar observability platforms., • Experience working with multi-tenant SaaS platforms., • AI-assisted development or prompt engineering. More important than any individual technology is how you approach engineering. We're looking for someone who enjoys solving problems properly, improving systems rather than simply maintaining them, and leaving both the platform and the engineering team in a better place than they found them. If that sounds like you, we'd encourage you to apply even if you don't meet every technical requirement. Our Tech Stack Cloud & Platform: AWS, Kubernetes (EKS), Docker Infrastructure & CI/CD: OpenTofu, Terraform, GitHub, GitLab Observability: OpenTelemetry, Grafana, Loki, Tempo, Mimir Development: Go, Python, Next.js AI Tooling: Claude, Gemini, used day to day throughout our engineering workflows. What We Offer • Fully remote within the UK., • Flexible working hours., • A small engineering team of six to eight developers where you'll have genuine ownership and influence., • A modern cloud-native technology stack., • AI integrated into day-to-day engineering workflows., • Minimal bureaucracy and a flat engineering structure. Our Interview Process Our interview process is straightforward, usually consisting of two or three conversations with no technical coding tests. We're far more interested in how you think, communicate and approach engineering problems than how quickly you can complete an artificial coding exercise. If this sounds like the kind of challenge you're looking for, we'd love to hear from you.

Ilir Sela started Slice with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over tens of thousands of restaurants with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in. This position is open to applicants across all of the UK on a remote basis, with the physical office located in Belfast, Northern Ireland. The Role By applying your Mobile experience, and software development skills, you will build high quality and intuitive experiences for customer-facing and business-facing apps. You will collaborate with other developers to build scalable solutions that make it easy to build high quality products, and you will work alongside designers and other stakeholders to build exciting new features and refine existing experiences. You will integrate with our custom built in-shop embedded projects. Knowledge of more than one mobile stack as well as an interest in embedded systems is a bonus. For this role, we are focusing on hiring at the Staff level, which requires broad professional mobile development experience and a strong track record of leading complex initiatives and delivering broad impact. We recognise that job titles and responsibilities vary across companies; throughout our interview process we assess each candidate’s experience, technical depth and overall impact to ensure alignment with the appropriate level at Slice. The Team You will be part of our Devices development team that is responsible for all of our customer-facing and business-facing mobile and embedded products. Think pizza ordering apps, Point-of-sale and Kiosk’s to name a few. We believe that consolidating our skills on platform-specific teams leads to a better development environment where you can collaborate, learn from and grow alongside other device experts. Our team brings together talented developers from across the US, UK, and Eastern Europe, each contributing unique perspectives and expertise to drive success. The Winning Recipe We’re looking for creative, entrepreneurial developers who are excited to build world-class products for small businesses and their customers. The core competencies this role calls for: • Proven experience developing iOS apps with Swift, SwiftUI, Combine and Core Data., • Hands-on experience designing, developing and maintaining Android applications with Kotlin & Jetpack Compose is required., • Technical leadership and strategic impact: able to guide complex projects end-to-end, influence architecture decisions and lead peers., • Experience with Python, particularly in developing web services, is a plus., • Embedded systems experience is highly desirable., • Able to clearly express opinions on product design, while respecting the thoughts and opinions of their peers., • Adaptable, proactive and results-oriented, capable of delivering solutions efficiently and meeting tight deadlines., • Proven ability to communicate and collaborate effectively with engineers across all platforms and non-engineering stakeholders alike., • Comfortable working remotely and collaborating asynchronously with teammates in different timezones and from different backgrounds. The Extras Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights: • Access to healthcare plans, • Flexible working hours, • Generous time off policies, • Employee wellbeing allowance, • Market leading maternity and paternity schemes The Hiring Process Here’s what you can expect from our hiring process if your candidacy progresses smoothly. We move quickly and strive for a fast turnaround from the final interview to the offer. • Application, • 30-minute introductory meeting, • 90 minute Live Coding Interview & 60 minute Technical Interview, • 30-minute Hiring Manager meeting, • Offer! Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member. Privacy Notice Statement of Acknowledgment When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations. If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time. For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail: privacy@slice.com

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.

Xperi invents, develops and delivers technologies that create extraordinary experiences at home and on the go for millions of people around the world. Powering consumer electronics, connected cars and digital content titles, we make entertainment more immersive, driving more intelligent and every interaction seamlessly personalized through our renowned consumer brands: DTS®, HD Radio™, and TiVo®. Xperi (NYSE: XPER) is a publicly traded technology company headquartered in San Jose, CA with approximately 2,000 employees across North America, Europe and Asia. Come join a thriving team where you can play an integral role in shaping the future of entertainment technology. Are you an Audio Developer? We need you to join our XPERI Global Audio Innovation Business to help us deliver our innovative audio applications and technologies on mobile, PC and consoles. The successful candidate will have the opportunity to work with an experienced and growing Scrum team, to design and build exciting new products and integrations. The role provides a unique opportunity for the right person to guide development efforts across audio platforms for products. Is this you: • Your passion is the code but you are always thinking about the final product; creating something easy to use and work with, • You’re an excellent C# and C++ developer with a good eye for UI/UX design, • You’re able to collaborate with a team but also comfortable as an individual contributor, • You’re a problem solver and can quickly find the key factors required to find a solution and overcome barriers, • You’re a planner—you know what you know, what you don’t and can adapt accordingly, • You’ve got your areas of expertise, but you know how to take on something new and adapt quickly, • You’re diligent—you know when to explore something further to get the answer to a question and make sure you complete everything to a high standard, • You lead by example—sharing your knowledge and learning from others, • You know how to share your understanding of technology with people who don’t have a detailed technical background A Day in XPERI as an Audio developer You will:, • work to develop, and improve, audio applications and technologies that enable extraordinary experiences for our customers, • work alongside our SDK team to integrate and deliver audio technologies to market, • work within an adaptive development culture based on innovation, teamwork, problem-solving and knowledge sharing, • work on a range of audio technologies and variety of platforms/architectures, • have the opportunity for personal growth as part of our organisational growth in our audio engineering team, • take high-level requirements/stories and break them down into manageable pieces of work Key Skills and strong experience of:, • C# 9 / .NET 8 (or later) in the development of WPF applications, • XAML, • Modern GUI libraries (e.g. Material Design, XAML Behaviors), • Software architecture (MVVM, Dependency Injection, Reactive Extensions), • Modern test frameworks, • Source control (Git), • Structured data (JSON, XML) Passion for:, • Audio engineering, • Developing software to a high-quality standard, • Knowledge and understanding of Agile/Scrum, • Exceptional communication skills, • Ability to work as a collaborative team member with remote colleagues Extras that may help:, • Windows App SDK and WinUI 3, • Knowledge of Windows Audio Architecture, • Knowledge of Jenkins and continuous integration, • Familiarity with scripting tasks in Unix Shell, Python etc., • Experience with API design, communication protocols (ZeroMQ), XML Schema Education and/or Experience:, • B.S. Degree in Computer Science or equivalent field of study required (equivalent work experience also acceptable); qualification level 2.1 or above in a relevant field, • Minimum 5 years working in computer software engineering Life @ Xperi: At Xperi, we value People, Customers, Performance and Innovation. We are dedicated to creating a workplace where all employees have a voice and sense of belonging, feel safe and valued, and are acknowledged for how their unique differences contribute to organizational culture and business outcomes. Our employees and their families are important to us, and our comprehensive pay, stock and benefits programs reflect that. Xperi supports personal well-being, builds financial security and enables employees to share in our collective success. Rewards include: • Competitive compensation and comprehensive benefits designed to foster work-life balance, care for your health, protect your finances and help you save and invest for the future, • Generous paid time away from work, including flexible time off, holidays and sick time, health and wellness initiatives, and a charitable match program to help you give back to your community., • Great perks, which vary by location and can be site-specific: employee discounts, transportation reimbursements, subsidized cafes and fitness facilities., • A flexible, hybrid work environment combining the best of in-office collaboration and community-building along with the benefits of working from home.