97 jobs found

About Cryptio Cryptio is the leading enterprise-grade financial data transformation and digital asset ERP platform for accounting, financial reporting, tokenization compliance, and loan management solutions. It is a complete back and middle-office platform that delivers financial integrity and accountability for businesses in crypto. Its platform allows users to transform on-chain and off-chain crypto activity into auditable records for accounting, treasury, tax filings, license applications, loans activity, and regulatory reporting. Having recently announced our $45m series B, now couldn't be a better time to join! The role We're hiring Senior Typescript Engineers to join our growing engineering organisation. You'll design, build, and operate scalable backend systems powering a mission-critical SaaS platform used by leading crypto and financial institutions. This role focuses on production-grade TypeScript services, complex data workflows, and distributed systems running in a modern cloud-native environment. Your work will directly support customers who rely on us for financial accuracy, operational integrity, and regulatory compliance. You'll tackle evolving external APIs, large-scale data processing, reliability challenges, and performance at scale. You'll have strong ownership, contribute to architectural decisions, and help shape the technical direction of the platform as we grow. Key technologies TypeScript, Node.js, NestJS, PostgreSQL, AWS (EKS, S3), Kubernetes, Docker, Redis, Pulumi, GitLab CI/CD What you'll do Build and operate scalable backend services in TypeScript Design robust APIs and distributed systems Own features end-to-end: design, implementation, testing, deployment, and monitoring Integrate and maintain third party APIs, handling authentication, rate limits, retries, and error recovery Model and transform complex data into reliable, unified systems Improve reliability, observability, and performance across services Contribute to architectural decisions that enhance scalability and resilience Raise engineering standards through code reviews, testing, and system improvements We're looking for someone who Has 5+ years of experience building and operating production backend systems Has strong expertise in TypeScript and Node.js and can design clean, scalable service architectures Has built and maintained API integrations at scale (REST/GraphQL), including OAuth, JWT, API keys, rate limiting, and failure handling Understands distributed systems concepts such as idempotency, background processing, eventual consistency, and observability Has experience with relational databases (e.g., PostgreSQL) and understands data modelling and performance trade offs Writes well structured, testable, maintainable code Has owned systems in production, including monitoring, debugging, and improving resilience Is comfortable taking technical ownership and driving implementation end to end Thrives in high autonomy, high expectation environments Nice to have: experience in fintech, crypto, or other data intensive domains. Why join us Work on technically complex systems in the crypto and finance space Build infrastructure relied on by leading institutions Shape architecture and technical direction as we scale Strong internal mobility and growth opportunities Process Talent Screen - 30 min Hiring Manager Interview - 60 min Technical Interview - 60 min Culture Interview - 45 min The process tends to take 2-3 weeks. Perks Remote or Hybrid working 25 days paid holiday plus bank holidays One additional day of annual leave each year, up to 30 total days Your birth off Mental health resources, wellbeing programs, and professional coaching Family friendly policies Fitness and wellness budget MacBook Pro $200 home office setup budget Training and development budget Additional benefits depending on location Contact We would love to hear from you. At Cryptio, we move fast and take ownership of outcomes. We learn from failures, celebrate wins, and let humility, curiosity, and a passion for crypto guide how we work. If you value collaboration and want to build with purpose, you'll feel right at home here.

Senior Platform Engineer Manchester - Hybrid About Finova Finova is the UK's largest financial services technology provider, supporting one in every five mortgages nationwide. Our agile, cloud-native solutions enable over 60 banks, building societies, specialist lenders, equity release providers and a network of 2,400+ brokers to stay ahead in a competitive market. Built on open architecture and backed by deep industry expertise, our platform is designed to scale. Each year, we process over £50 billion in loans, manage nearly £50 billion in savings, and support the digital servicing of more than 650,000 UK borrower accounts. Be part of a team that's driving innovation, enabling growth and shaping the future of UK lending. About the Role: As a Senior Platform Engineer, you will be a key driver in the evolution of Finova's multi-cloud estate. You will occupy a vital space between infrastructure and software delivery, taking ownership of projects that enable our engineering teams to deploy securely and at pace. This role requires a high degree of autonomy; you will act as the bridge between ground-level execution and the strategic vision set by our Principal engineers. Your mission is to ensure our AWS and Azure systems remain performant, cost-effective, and developer-friendly. About you: You are a proactive engineer who views infrastructure as a product. You are passionate about automation, security, and reducing friction for your fellow developers. Cloud Proficient: You have extensive experience managing production workloads in AWS (essential) and Azure (highly desirable). IaC Expert: You are highly proficient with Terraform, with a proven ability to build modular, reusable infrastructure at scale. Pipeline Master: You have a deep understanding of Buildkite and GitHub Actions, with a relentless focus on workflow efficiency. Security-First Mindset: You possess practical experience implementing best practices-such as Identity, Encryption, and Secrets management-within regulated environments. Autonomous & Driven: You have a track record of taking a project from a vague requirement to a production-ready solution with minimal supervision. Collaborative Mentor: You are a strong communicator who enjoys sharing knowledge, conducting code reviews, and helping the wider team level up. Problem Solver: You thrive on optimizing observability and performance to keep a cloud footprint lean and high-performing. What will you be doing? You will be responsible for the "how" of our engineering delivery, building the foundation that powers our digital services. Scaling the Cloud: Managing and evolving our multi-cloud environments using Terraform to create highly available, repeatable infrastructure patterns. Optimising CI/CD: Leading improvements to our Buildkite and GitHub pipelines to increase deployment frequency and eliminate developer friction. Integrating Security: Hardening the platform by embedding automated security scanning and "compliance-as-code" into the heart of the delivery process. Enhancing Developer Experience: Building self-service tools and documentation that empower squads to own their services from end to end. Driving Operational Excellence: Spearheading cost-optimization and observability initiatives to ensure our cloud spend remains efficient as we scale. Defining "Golden Paths": Contributing to the standardized engineering patterns that define excellence at Finova and providing technical guidance to mid-level engineers. Spearheading Innovation: Acting as a bridge to strategic vision, ensuring ground-level technical execution aligns with long-term architectural goals. What We Offer: Hybrid working Work in a hybrid way that suits you. Our model is primarily office-based, with flexibility to work remotely as needed. We're committed to supporting a healthy balance between work and life. Private medical insurance Comprehensive health cover, with the option to add your family to your plan, because your well being matters to us. Life assurance & income protection We provide life assurance and income protection to give you peace of mind for the future. Family friendly policies Our enhanced family friendly policy goes beyond maternity and paternity leave, offering paid time off for when plans change or alternative paths to parenthood are needed. Work from anywhere Some thrive in the office, others at home - and many do best with choice. With approval, Finova employees can work abroad for up to 4 weeks each year. Flexible holiday package Enjoy 25 days paid holiday allowance, plus all public holidays. You can rebook any public holidays for a day that aligns with your personal beliefs or celebration calendar. We also offer holiday trading allowing you to purchase or sell your holiday allowance. Company pension scheme With salary exchange, you save on tax and can build a secure future. Employee assistance programme We understand that mental health is just as important as physical health. Access to a 24/7 confidential counselling helpline ensures you have support when you need it. Electric car scheme Get a brand new electric vehicle with salary sacrifice as a benefit, paid for through your gross monthly pay, saving on Income Tax and National Insurance. Health cash plan Our Health Cash Plan empowers you to prioritise your wellbeing by providing effortless reimbursement for everyday healthcare costs, from dental and optical visits to physiotherapy. Gym discounts Achieve your fitness goals for less with GymFlex, which offers significant savings on annual memberships at over 3,000 gyms and leisure centres nationwide. Perks that matter We fuel your day with a fully stocked pantry of fresh fruit and snacks and keep the team spirit high with weekly socials and events. Equal Opportunity Statement We value diversity and are committed to creating an inclusive environment for all employees.

Product Security Engineer (Multiple Levels)Applyremote type: Hybridlocations: Belfast 10 Mays Meadow: Der-Derry/Londonderrytime type: Full timeposted on: Posted Todaytime left to apply: End Date: May 28, 2026 (6 days left to apply)job requisition id: R30129At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team The Product Security Engineer partners in designing and building security solutions that will balance the need for speed and flexibility of the infrastructure and IaaS/PaaS/SaaS applications, with the need to protect Allstate against ongoing and potential security threats. This role needs to have the aptitude to understand new security strategies. This position has been opened at Senior Consultant II and Lead Consultant. Key responsibilities: Cyber Risk Assessment & Governance Lead and execute enterprise, business-unit, and technology-specific cyber risk assessments , including inherent risk identification, control adequacy evaluation, residual risk determination, and risk prioritization. Develop, enhance, and operationalize cyber risk assessment methodologies , frameworks, and assessment artifacts aligned to recognized standards (e.g., NIST CSF, NIST SP 800-53, ISO/IEC 27001, CIS, COBIT). Translate business and technical risks into clear, actionable risk statements , supported by evidence-based control evaluation and impact analysis. Drive risk-based decision-making by clearly articulating risk exposure, control gaps, and mitigation options to stakeholders. Regulatory, Compliance & Standards Alignment Research, interpret, and apply global and regional cybersecurity regulations and requirements (e.g., NYDFS 500, GLBA, PCI DSS, SOX ITGCs, data protection and privacy regulations, contractual security requirements). Analyze regulatory guidance, enforcement actions, and industry advisories to inform governance programs and risk posture. Program Development & Continuous Improvement Design, enhance, and execute cybersecurity governance programs , policies, standards, procedures, and control requirements aligned to business and regulatory needs. Identify process gaps, control deficiencies, and maturity weaknesses; recommend risk-based remediation strategies and pragmatic control improvements. Contribute to the evolution of enterprise cybersecurity risk assessment (ECRA) capabilities, including risk taxonomies, metrics, and reporting Support continuous monitoring and re-assessment of cyber risks as business, technology, and threat landscapes evolve. Stakeholder Communication & Advisory Act as a trusted risk advisor to technology, engineering, and business leaders by explaining complex cybersecurity and regulatory topics in a practical, business-relevant manner. Develop and deliver risk assessment summaries, executive briefings, and governance reports tailored for senior leadership, risk committees, and audit stakeholders. Provide guidance and mentorship to less-experienced team members on cyber risk assessment techniques, regulatory interpretation, and governance best practices. Essential Skills: All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy A minimum of 3+ years of experience working with Cybersecurity risk management concepts (threats, vulnerabilities, impact, likelihood, controls) Cloud, SaaS, and third-party risk considerations Identity & access management, data protection, network security, vulnerability management, and secure SDLC concepts. A minimum of 1 year working with one of either NIST CSF, NIST SP 800-53, ISO 27001/27002, CIS Controls, COBIT Regulatory frameworks relevant to financial services, insurance, or regulated industries. Desirable Skills Certified in CRISC, CISM, CISSP, CISA. Experienced in large, complex, and regulated environments. Supervisory Responsibilities: This job does not have supervisory duties. Posting Closing date : Wednesday 27th May .59pm Skills Information Security Engineering, IT Security Operations, Risk Management, Security Tools, Stakeholder Engagement Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact. Why join us? Allstate NI is proud to be Allstate's European Digital Centre of Excellence-recent winners of 'Best Use of Cloud Services' at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility.We're a product-driven, cloud-first organisation delivering real outcomes through modern technology, a digital product-centric talent model, and a culture rooted in engineering excellence. Our teams work in cross-functional structures, guided by an outcome-based delivery approach that accelerates speed, agility, and value.We offer:• A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts• Access to world-class learning platforms and award-winning L&D• Clear career paths, internal mobility, and a strong focus on growth• A people-first culture with flexible working optionsBe part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way. Statement on Fair Employment and Equal Opportunities Allstate NI wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability.We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under-represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit.Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position.

About Neutreeno Climate change is the defining business challenge of our time, and we're here to solve it. Most decarbonisation solutions count emissions but do nothing to reduce them. We've changed that. We're Neutreeno, an emissions-to-performance platform, born out of the University of Cambridge's Department of Engineering. We help companies with supply chains and production processes turn emissions data into operational insight, the kind that cuts costs, sharpens decisions, and unlocks genuine competitive advantage. For operations and finance, it's margin they can measure. For sustainability teams, it's progress they can prove. Same data, two audiences, one engine. We're a fast-moving team that values EQ just as much as IQ. Autonomy, high-ownership, speed and no-ego collaboration are at our core. We seek people who care deeply and are eager to work on solving problems bigger than themselves. The Role As a Senior Full Stack Software Engineer and key member of the Neutreeno team, you'll be shipping great software, bringing strong engineering judgment, and making the team better through craft and collaboration. You'll ship across the full stack, crafting clean React UIs, building reliable Node.js and Python services, and deploying to AWS. You'll own features end-to-end alongside a small, strong engineering team, and you'll have real influence over how the product evolves. You also use AI coding tools and agentic workflows as a force multiplier, and you're actively curious about how they change what a small engineering team can achieve. This position operates on a hybrid work model with 3 days per week in our Cambridge office. Fully remote arrangements may be considered for outstanding international candidates, provided there is sufficient overlap with UK working hours. The Work You'll Do Technical Leadership Build responsive, modular UIs in React and TypeScript that make complex emissions data feel simple and intuitive. Develop and maintain backend services in Node.js, designing clean APIs and working with cloud-native AWS infrastructure. Ship features end-to-end: from picking up a product brief to deploying to production via our CI/CD pipelines. Contribute to the technical direction of Neutreeno, helping inform architectural decisions that balance speed, quality, and long-term scalability. Champion AI-native development practices and agentic workflows across your own work and actively share that thinking with the wider team. Team and Product Partner closely with the Neutreeno team to translate product ambitions into well-scoped, well-sequenced engineering work. Feed into the engineering roadmap, providing strong technical input on prioritisation, feature velocity, and technical health. Contribute to hiring decisions and help shape an engineering culture that helps Neutreeno scale. Communicate clearly about technical decisions and progress with product, design, and the wider team. The Minimum Qualifications You'll Need 7 or more years of professional software engineering experience. A strong individual contributor deeply motivated to stay hands on in the codebase, with a collaborative approach to sharing knowledge and raising quality across the team. Deep proficiency across the full stack, including React and TypeScript on the front end and Node.js on the back end. Solid experience with AWS infrastructure and cloud-native deployment. A proven track record of shipping high-quality software at pace. Real, daily use of AI coding tools and agentic development workflows as a core part of how you work. Strong communication and the ability to build trust quickly across engineering, product, and leadership. Preferred Qualifications Experience at an early stage startup as a senior individual contributor. Familiarity with GraphQL, Terraform, or CI/CD pipeline design. Experience integrating LLMs or building AI powered product features. Exposure to climate, sustainability, or deep tech domains. Degree in Computer Science or a related field (not required, track record speaks louder). What We Offer Compensations & Benefits: Competitive pay dependent on your skills, qualifications and experience. Year end performance bonus. 25 days annual leave. Competitive stock option plan. We want you to think and benefit like an owner as the company grows. Company pension with NEST. Leading private health insurance with WPA (the only Which? Recommended Provider for Private Medical Insurance). Cycle to work scheme. Work Environment: A hybrid work model that fosters both teamwork and individual flexibility. Remote working allowance (2 weeks per year). Work from Neutreeno HQ at the Cambridge Institute for Sustainability Leadership, recognised by the FT as one of Europe's leading startup hubs. Great on site amenities (unlimited free coffee, monthly events with global sustainability leaders). Culture & Growth: A flat, fast growing team (200%+ YoY growth) from diverse backgrounds that recently closed a $5M seed round. An open-minded culture with a flat hierarchy and everyone vectoring in the same direction and where ideas and ownership matter. The chance to work alongside world class climate scientists and engineers on one of the most important problems of our time. How to Apply If you're a senior engineer who loves great code, thrives in a fast moving environment, and has a genuine point of view on how AI tooling fits into modern development, we want to hear from you. To apply, send your CV and a cover letter covering two things: how AI tooling features in your day to day development work, and what's drawing you to Neutreeno specifically. Neutreeno is an equal opportunity employer committed to creating an inclusive workplace.

Lead ML Engineer page is loaded Lead ML Engineerremote type: Hybridlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R Job Type: Permanent Build a brilliant future with Hiscox Role Purpose As a Lead Machine Learning Engineer (MLE) at Hiscox, you will shape and scale our Machine Learning Engineering capability and ensure the successful deployment and operation of ML in production. You will lead the MLE sub-chapter, line manage Machine Learning Engineers, and partner closely with the Head of Data Science, the Data Science sub-chapters and Platform/Group teams to enable scalable, reusable, and well-governed ML solutions.You will be accountable for the MLOps platform, ensuring it is reliable, secure, and continuously evolved and for ensuring our business unit ships ML to production in a scalable way that is reusable across value streams, enabling efficient model maintenance, monitoring, and lifecycle management. Combining deep technical expertise with leadership, you will set standards, uplift capability, and enable squads to deliver robust, production-grade ML systems. Key Responsibilities People Leadership o Manage and grow talent: Set objectives, conduct performance reviews, and guide career progression for the MLE sub chapter.o Foster a strong engineering culture: Promote collaboration, psychological safety, and high standards of quality and reliability.o Provide coaching and mentorship: Support technical and professional development of Machine Learning Engineers. Strategic Capability Development o Define and evolve chapter strategy: Align sub-chapter goals with chapter and organisational objectives.o Shape technical direction: Establish standards for ML engineering, deployment patterns, and MLOps.o Drive upskilling and cross skilling: Build capability in production ML, platform usage, and software engineering best practices. Technical Enablement & Platform Ownershipo Own and evolve the MLOps platform: Ensure it is reliable, secure, and scalable, in partnership with Group and Platform teams.o Enable scalable and reusable ML delivery: Ensure ML solutions for the business unit are deployable across value streams and efficient to operate.o Lead technical spikes and proof of concepts: De risk architectural decisions and explore new tools and approaches. Governance & Standards o Ensure compliance, security, architecture, and operational standards.o Define guardrails for production ML systems: Covering deployment, monitoring, retraining, and decommissioning in collaboration with Data Science. Collaboration & Influence o Partner closely with the Data Science sub-chapters and delivery team to ensure effective handover from experimentation to production.o Represent Machine Learning Engineering in strategic forums: Advocate for platforms, tooling, and scalable ML practices. What You'll Bring Bachelor's/Master's in Computer Science, Engineering, or a related quantitative field (or equivalent experience). Experience as a Senior/Lead Machine Learning Engineer delivering production ML systems at scale. Solid understanding of core data science concepts, including supervised and unsupervised learning, feature engineering, and model evaluation. Working knowledge of statistical concepts and model evaluation techniques sufficient to review, validate, and productionise data science work. Proven line management and/or technical mentorship of engineers; building capability and setting standards. Demonstrated ownership of MLOps platforms or critical ML services, including CI/CD, model serving, monitoring, and incident management. Proven ability to design, implement, and operate technical frameworks for evaluating the commercial impact of machine learning systems in production. Effective collaboration with Data Scientists across the end-to-end ML lifecycle. Experience working in Agile, cross-functional squads. Insurance or financial services experience is a plus but not essential. Technical Skills Strong Python in a machine learning engineering context, with solid software engineering fundamentals (OOP, testing, design patterns). Production ML systems: Experience deploying, monitoring, and maintaining ML models in live environments. Cloud & infrastructure: Hands-on experience with a major cloud platform (GCP, AWS, or Azure), including containerised deployments. MLOps & CI/CD: Experience with CI/CD pipelines, Git-based workflows, and Infrastructure as Code (e.g. Terraform). Operational excellence: Understanding of API operations, monitoring, logging, and reliability considerations for ML services. Data & integration: Working knowledge of SQL and integrating ML services into wider data and application ecosystems.This is an opportunity to shape the future of machine learning engineering at Hiscox, build a high-performing sub-chapter, and influence strategic decisions, while staying close to the craft you love. You'll have the autonomy to set standards, mentor talent, and explore emerging technologies, all within a collaborative and forward-thinking environment. Work with amazing people and be part of a unique culture If you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us.

Senior Cloud Engineer (AWS) Location: Cheltenham (Hybrid - approximately 3 days onsite) Salary: £70,000 - £95,000 Eligibility: UK-based candidates only Security Clearance Requirements Due to working with a number of government bodies, SC clearance is required for our customer facing teams. You do not need active SC clearance as we will undertake checks upon you joining, but you must be eligible to pass SC clearance. In future, DV clearance may be required, so the ability/willingness to pass DV clearance is advantageous but not essential. Due to the nature of this project we are only able to accept UK based applicants for this role. About Cloudscaler At Cloudscaler, you'll join a consultancy trusted by government, defence, and enterprise organisations to deliver complex AWS solutions with real national impact, from modernising public services to securing critical infrastructure. As an AWS Advanced Partner with a startup's agility, we foster a high-trust, high-performance culture where self-starters thrive. You'll work closely with senior leadership and cloud experts, gaining the exposure and influence you simply wouldn't find at a larger consultancy. Expect hands on experience across the UK's most ambitious cloud programmes, including landing zones, cloud operations and risk mitigation, with the opportunity to accelerate your growth while shaping work that matters. The Role We are seeking an experienced Senior AWS Cloud Engineer to design, build, and operate secure cloud platforms supporting complex transformation programmes. You will collaborate with senior stakeholders, applying AWS best practices, security first principles, and modern platform engineering methodologies. Key Responsibilities Design and implement AWS Landing Zones and multi tenant cloud environments Build and manage infrastructure using Terraform (Infrastructure as Code) Develop and maintain CI/CD pipelines Deliver secure and scalable cloud solutions in regulated environments Apply Site Reliability Engineering (SRE) principles to enhance reliability and resilience Collaborate with internal teams and client stakeholders to deliver successful cloud outcomes Skills and Experience Strong hands on experience delivering enterprise scale AWS platforms Proven experience implementing AWS Landing Zones Advanced Terraform and Infrastructure as Code expertise Experience designing and operating secure cloud environments Experience working with central government, defence, or highly regulated clients Ability to communicate technical concepts to both technical and non-technical stakeholders Benefits Discretionary bonus Discretionary security clearance bonus for those holding certain clearance Discretionary utilisation bonus Periodic offer of share options schemes 25 days' annual leave 5 additional days per year towards training, certifications, or charity work Option to buy additional annual leave up to 5 days per year Public holidays opt-out scheme, the option to work on public holidays creating the flexibility to enjoy your time off when it suits you Certifications and training expensed Life Assurance Long Term Disability cover Employee Assist Programme for employee advice and support (including legal and counselling helpline) Health, Mental Health, Wellbeing, Financial and Legal support 24/7 GP access Pension auto enrolment and contribution Employee referral scheme Client referral scheme Cycle to work scheme Travel expenses policy Interview Process Screening call with Talent Acquisition 30 minute remote interview with engineering team 60 minute remote technical interviewFinal 60 minute in person leadership interview How to Apply If you are ready to help deliver secure, scalable AWS solutions that make real impact, we encourage you to apply today or contact us for further information. Cloudscaler are proud to be an equal opportunity employer, committed to equal opportunities regardless of gender identity, sexual orientation, race, ancestry, age, marital status, disability, parental status, religion or medical history. If you require reasonable adjustments during the recruitment process or within the workplace, please let us know when you speak to our Talent Acquisition team or contact at the earliest opportunity.

Principal Cloud Engineer (AWS) - (Multiple) Location: Cheltenham - Hybrid up to 3 days onsite Salary: £95,000 - £130,000 Defence/SC Clearance Requirements: Due to working with a number of government bodies, SC clearance is required for our customer facing teams. You do not need active SC clearance as we will undertake checks upon you joining, but you must be eligible to pass SC clearance. In future, DV clearance may be required, so the ability/willingness to pass DV clearance is advantageous but not essential. You must be UK-based. About us At Cloudscaler, you'll join a consultancy trusted by government, defence, and enterprise organisations to deliver complex AWS solutions with real national impact, from modernising public services to securing critical infrastructure. As an AWS Advanced Partner with a startup's agility, we foster a high-trust, high-performance culture where self-starters thrive. You'll work closely with senior leadership and cloud experts, gaining the exposure and influence you simply wouldn't find at a larger consultancy. Expect hands-on experience across the UK's most ambitious cloud programmes, including landing zones, cloud operations and risk mitigation, with the opportunity to accelerate your growth while shaping work that matters. What we're looking for We are looking for Principal Cloud Engineers with extensive landing zone knowledge and site reliability best practice. For us, this means experience of designing, building and operating enterprise-scale landing zones within AWS. It also means you need to be able to automate the build of complex AWS services and platforms using Terraform. We are thought leaders and our Principal Engineers work closely with customer teams, so you need to be opinionated about IaC structure and modularisation and the experience and knowledge to define the technical direction and strategy of teams and systems. What you'll be doing Designing complex multi-tenant systems aligned to best practice Building, testing, packaging, deploying and operating AWS landing zones Automating the build of complex AWS Services and Cloud Platforms with IaC Packaging services into AMIs, Docker containers or Serverless deployments Championing infrastructure as code and opinionated about IaC structure and modularisation Scoping container/microservices to design Cloud solutions Utilising deployment techniques to enable zero downtime Mitigating security risks in AWS and supporting a mature Cloud Security Model Benefits Discretionary bonus scheme 25 days' annual leave + 5 additional days for training/exams or volunteering Option to buy up to an additional 5 days annual leave Travel and accommodation expensed where eligible in line with our expenses policy Life Assurance Long Term Disability cover Employee Assist Programme for employee advice and support (including legal and counselling helpline) Health, Mental Health, Wellbeing, Financial and Legal support 24/7 GP access Public holiday opt-out scheme giving you the option to work on public holidays creating the flexibility to enjoy your time off when it suits you Individual training and development plans with online training and exam costs covered Recruitment referral scheme - referral bonus if you introduce us to someone we then hire Customer referral scheme - referral bonus if you introduce us to a new customer Cycle To Work Scheme Dog friendly offices Interview Process Screening call with our Talent Acquisition team 1st Interview - 30 minute remote interview with our hiring team 2nd Interview - 60 minute remote technical interview with members of our engineering team 3rd Interview - 60 minute in person interview with members of our Senior Leadership Team Cloudscaler are proud to be an equal opportunity employer, committed to equal opportunities regardless of gender identity, sexual orientation, race, ancestry, age, marital status, disability, parental status, religion or medical history. If you require reasonable adjustments during the recruitment process or within the workplace, please let us know when you speak to our Talent Acquisition team or contact at the earliest opportunity.

WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to . THE ROLE As a Senior Software Engineer on the LiveIntent Real-Time Ad Serving team, you will design, develop, and own the business logic that powers programmatic advertising at scale - ad selection, targeting, frequency capping, budget pacing, and delivery optimization. The real-time platform is built on C++ and Lua: C++ provides the high-performance server framework, while Lua implements the business logic layer. You will work primarily in Lua, developing and evolving the features that directly serve LiveIntent's product - ensuring advertisers get the best outcomes and publishers maximize their revenue. While we're open to candidates with experience in any backend language, a willingness to work with Lua is essential - we provide time and the right environment to get up to speed. You will collaborate closely with Product, working on features that directly impact LiveIntent's customers - from ad targeting and delivery to reporting and optimization. This is a hands on engineering role where your code runs in production handling billions of daily transactions. This is a hybrid/remote role based out of our Berlin, Germany or Prague, Czech Republic offices. ESSENTIAL RESPONSIBILITIES Develop and optimize business logic in Lua for ad selection, targeting, frequency capping, and budget pacing Design, build, and maintain real time services processing 200K+ requests per second with strict latency requirements Work closely with Product to deliver features that meet advertiser and publisher needs Ensure code quality through code reviews, automated testing, and continuous integration Participate in architecture discussions and influence the technical roadmap Participate in on call rotation to support production systems DESIRED CHARACTERISTICS 5+ years of software engineering experience in backend development Deep understanding of computer science fundamentals: data structures, algorithms, performance optimization Experience building and operating distributed systems in production Exposure to the full software development lifecycle - from design to production and monitoring Strong commitment to code quality, automated testing, and documentation Proficient English (the interview process will be held in English) Experience with Lua or willingness to learn (we provide time and the right environment) Experience in online advertising / ad tech (RTB, programmatic, DSP/SSP) is a plus Proficiency in a systems level language (C++, Go, Rust, or Java) is a plus Experience with MongoDB and real time data processing is a plus Experience with cloud infrastructure (AWS) at scale is a plus Experience with AI assisted development tools and agentic workflows is a plus Experience with OpenRTB protocol and ad exchange integrations is a plus BENEFITS & PERKS Excellent medical, dental, and vision coverage PEOPLE & CULTURE AT ZETA Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team The Advanced Development team at Roku pushes beyond today's product lines to invent the next generation of intelligent and generative media systems. We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices. This is a rare environment - a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps. Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision - people who challenge convention, embrace ambiguity, and build what's never been built before. It's a collaborative, low-ego, ownership-driven culture built on trust and curiosity. We're seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision - someone who thrives where research meets production. About the Role As a Senior Applied Machine Learning Engineer, you'll help design, build, and deploy the systems that make media smarter. You'll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence. You'll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment - and seeing your work directly influence how audiences experience Roku's content and advertising ecosystem. What You'll Be Doing Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services Integrating services from other teams around the company, while also providing reusable ML services to others Evaluating and providing feedback on new platform technologies provided by internal teams Working with QA teams to address bugs and contribute to automation and quality assurance We're Excited If You Have A Master's degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field Strong background developing applied machine learning systems using PyTorch or TensorFlow Expertise in image processing, computer vision, or natural language processing Experience using AWS, GCP, or Azure for storing data, training, and serving models Proven ability to evaluate models and communicate insights effectively Experience building APIs with frameworks such as GraphQL or REST Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow Hands-on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .

Who We Are Zoopla is a leading UK property website and trusted consumer brand, empowering movers to make better property decisions with over nine million monthly users generating over one billion annual property searches. Zoopla is more than a property portal. Over 5 million homeowners are subscribers, tracking their property values and providing a pipeline of movers for Zoopla's customers (estate agents and housebuilders). The business is investing in leveraging its scale and reach to build new, AI-driven experiences that engage movers and unlock value and a strong return on investment for customers. Our guiding behaviours define how we work together and what we expect from one another. These behaviours are to keep it simple, take ownership, make it better and win together. We strive for progress not perfection and have no doubt that we can achieve our ambitions if we focus on the right things, give it our all and do it together. What You'll Do As a Senior Analytics Engineer in the Data Analytics team, you'll own and develop the data modelling infrastructure, architecture and pipelines powering a wide range of data initiatives and data products. Own the analytics engineering workflow and architecture for the data modelling layer at the heart of the business. Ensure orchestration runs successfully, troubleshooting errors in key pipelines and empowering others to do the same. Effectively communicate and act as a liaison between highly technical and non-technical stakeholders, to translate business needs into engineering requirements. Deliver, and enable others to build, well defined, transformed, tested, documented, and code reviewed data sets. Due to the high quality of this data and the associated documentation, business users are able to self serve, analyse, and build products and services upon it, getting reliable, consistent results. Proactively seek automation and optimisation opportunities to constantly improve and develop the transformation layer, and unify its usage across multiple teams. Train, upskill and support others in dbt and data modelling best practices, applying software engineering practices to analytics code (version control, automated testing, continuous integration). We're looking for someone who: Has experience setting up & developing dbt architecture using CI/CD practices (essential) Is highly proficient with SQL and data modelling best practices for optimising performance (essential) Has previously worked with visualisation tools such as Tableau or PowerBI (essential) Is confident collaborating and communicating with non technical stakeholders (essential) Has experience integrating dbt with other tools in the modern data stack (essential) Is comfortable harnessing AI workflows to expedite development in a scalable, sustainable way (essential) Has experience working with Databricks and AWS (Glue, Lambda, Step Functions) or similar cloud platform (desirable) Where You'll Be At Zoopla we embrace hybrid working but emphasise the importance of also spending time together. You'll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all Zoopla days in the office together plus a third in office day of your choosing. Our home in Tower Bridge is a wonderful hub for collaborative and individual working, with space to socialise and exercise. On our doorstep you'll find buzzing Borough, Bankside and Bermondsey, not to mention soaring river views. 25 days annual leave + extra days for years of service Day off for volunteering & Digital detox day Festive Closure - business closed for period between Christmas and New Year Cycle to work and electric car schemes Free Calm App membership Enhanced Parental leave Fertility Treatment Financial Support Group Income Protection and private medical insurance Gym on site in London 7.5% pension contribution by the company Discretionary annual bonus up to 10% of base salary

Who We Are Zoopla is a leading UK property website and trusted consumer brand, empowering movers to make better property decisions with over nine million monthly users generating over one billion annual property searches. Zoopla is more than a property portal. Over 5 million homeowners are subscribers, tracking their property values and providing a pipeline of movers for Zoopla's customers (estate agents and housebuilders). The business is investing in leveraging its scale and reach to build new, AI-driven experiences that engage movers and unlock value and a strong return on investment for customers. Our guiding behaviours define how we work together and what we expect from one another. These behaviours are to keep it simple, take ownership, make it better and win together. We strive for progress not perfection and have no doubt that we can achieve our ambitions if we focus on the right things, give it our all and do it together. What You'll Do As a Senior Analytics Engineer in the Data Analytics team, you'll own and develop the data modelling infrastructure, architecture and pipelines powering a wide range of data initiatives and data products. Own the analytics engineering workflow and architecture for the data modelling layer at the heart of the business. Ensure orchestration runs successfully, troubleshooting errors in key pipelines and empowering others to do the same. Effectively communicate and act as a liaison between highly technical and non-technical stakeholders, to translate business needs into engineering requirements. Deliver, and enable others to build, well defined, transformed, tested, documented, and code reviewed data sets. Due to the high quality of this data and the associated documentation, business users are able to self serve, analyse, and build products and services upon it, getting reliable, consistent results. Proactively seek automation and optimisation opportunities to constantly improve and develop the transformation layer, and unify its usage across multiple teams. Train, upskill and support others in dbt and data modelling best practices, applying software engineering practices to analytics code (version control, automated testing, continuous integration). We're looking for someone who: Has experience setting up & developing dbt architecture using CI/CD practices (essential) Is highly proficient with SQL and data modelling best practices for optimising performance (essential) Has previously worked with visualisation tools such as Tableau or PowerBI (essential) Is confident collaborating and communicating with non technical stakeholders (essential) Has experience integrating dbt with other tools in the modern data stack (essential) Is comfortable harnessing AI workflows to expedite development in a scalable, sustainable way (essential) Has experience working with Databricks and AWS (Glue, Lambda, Step Functions) or similar cloud platform (desirable) Where You'll Be At Zoopla we embrace hybrid working but emphasise the importance of also spending time together. You'll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all Zoopla days in the office together plus a third in office day of your choosing. Our home in Tower Bridge is a wonderful hub for collaborative and individual working, with space to socialise and exercise. On our doorstep you'll find buzzing Borough, Bankside and Bermondsey, not to mention soaring river views. 25 days annual leave + extra days for years of service Day off for volunteering & Digital detox day Festive Closure - business closed for period between Christmas and New Year Cycle to work and electric car schemes Free Calm App membership Enhanced Parental leave Fertility Treatment Financial Support Group Income Protection and private medical insurance Gym on site in London 7.5% pension contribution by the company Discretionary annual bonus up to 10% of base salary

Senior Software Engineer - Core Services London About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. Our platform serves multiple tenants across highly regulated industries, making robust identity, access control, and operational visibility foundational to everything we do. We're looking for a Senior Software Engineer to join our Core Services team, the team building the foundational primitives that gives our customers superpowers they've never had before. For decades, engineers have been trapped using siloed, rigid tools from the 90s. We're changing that by enabling secure, permissioned collaboration at the frontier of AI. You'll design and build the enterprise grade systems that make this possible. From fine-grained permissions to instrumentation, you'll create the primitives that every product across PhysicsX adopts, ensuring every user, service, and agentic workflow is securely identified, correctly scoped, and fully observable. You'll own the infrastructure that keeps our platform trustworthy, transparent, and ready for the future of manufacturing and engineering. What You Will Do Design and implement authentication and authorisation systems, including identity provider integrations, token management, session handling, and SSO flows. Architect and build fine granular role based and attribute based access control (RBAC/ABAC) models that scale across multi tenant environments. Own the platform's permissions layer end to end: from policy definition and enforcement through auditing and compliance reporting. Build and maintain telemetry infrastructure distributed tracing, structured logging, metrics collection, and alerting, to provide deep observability across services and environments. Define and enforce security standards across APIs and services, including schema governance, data segregation, and least privilege access patterns. Design and implement identity and access patterns for AI agents, including MCP authentication, agent impersonation flows, and system account models that allow agents to act securely on behalf of users in a regulated, multi tenant environment. Contribute to the design of multi service architectures, ensuring authentication and authorisation concerns are cleanly integrated and consistently enforced across both human and agentic workflows. Drive best practices in CI/CD, automated testing, observability, and infrastructure as code. Build and maintain deployment pipelines, including zero downtime and multi service deployments. Author and review Technical Decision Records. Participate in technology reviews to evaluate and adopt new tools and approaches. Mentor junior and mid level engineers, facilitate technical discussions, and build consensus around architectural decisions. What you bring to the table A passion for the craft, you're driven by engineering excellence and committed to fostering that culture across the team. Strong software engineering foundations, solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang and Python. Authentication and identity expertise, hands on experience building or integrating identity and access management systems (e.g., Keycloak, Auth0, Okta). Deep understanding of OAuth 2.0, OIDC, SAML, and token based authentication flows. Ability to effectively leverage cloud provider IAM systems (e.g., AWS IAM, GCP IAM, Azure AD). Authorisation and permissions design, proven experience implementing RBAC, ABAC, or policy as code frameworks (e.g., OPA/Rego, Cedar) in production multi tenant systems. Telemetry and observability, experience designing and operating metrics, tracing, and logging pipelines (e.g., OpenTelemetry, Prometheus, Grafana, Jaeger). You understand what it takes to make distributed systems genuinely observable. Kubernetes and GitOps, strong working knowledge of Kubernetes and ArgoCD, including deploying, managing, and troubleshooting services in production clusters. API and service design maturity, experience designing multi service systems with attention to schema governance, forward compatibility, and secure data access patterns. Proven ability to develop schema drift mitigation strategies with minimal impact to dependent clients (e.g., forward compatible schemas, ACLs, ambassador sidecars). Agent governance awareness, understanding of how identity and permissions extend to agentic systems, including MCP auth, impersonation, system accounts, and scoped token delegation. Security awareness, familiarity with threat modelling, secure coding practices, and participating in security testing and compliance workflows. CI/CD and deployment expertise, hands on experience building and optimising CI/CD pipelines, including multi service and zero downtime deployments across numerous customer environments. Communication and collaboration, excellent communication skills to work across teams, understand requirements from research scientists and product stakeholders, and translate them into technical specifications. AI native mindset, you follow the frontier of agentic systems and AI tooling. You naturally think about how infrastructure needs to evolve when agents, not just humans, are the consumers of your APIs and services. You actively use AI coding tools (e.g., Copilot, Cursor, Claude Code) in your daily workflow and see them as a force multiplier, not a novelty. Incremental mindset, you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture. Ideally Polyglot programming, deep expertise in Python and Golang, with exposure to other languages such as Rust or C++. Advanced Kubernetes, ability to leverage resources that extend the Kubernetes API (e.g., CRDs, Operators) and infrastructure configuration tools (Crossplane, Helm charts). Infrastructure flexibility, understanding of what it takes to build software that runs in cloud, on premises, and air gapped environments. Advanced testing, experience with fuzzing, deterministic simulation testing, or fault injection in production systems. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Voxelmaps Careers Thank you for exploring our Career Page. We invite you to explore our current job openings and apply for the position that best aligns with your qualifications. Alternatively, you can submit a general application using the link provided below. Your future with us begins here! Current Openings Position: Senior Mapping Localization Engineer Location: Bristol, United Kingdom Job Id: 423 # of Openings: 1 Voxelmaps builds spatial intelligence systems that transform large-scale sensor data into accurate, usable geospatial and mapping products. We are seeking a Senior Mapping & Localization Engineer to enhance and develop core algorithms and infrastructure for localization, sensor alignment, camera geometry, and spatial data integration workflows in Bristol, UK. This role focuses on improving map consistency and accuracy across large capture datasets by solving problems in SLAM loop closure, point cloud registration, sensor fusion, camera calibration, and coordinate system transformations. You will work at the intersection of robotics, photogrammetry, computer vision, and geospatial systems. Responsibilities Mapping & Localization Enhance existing or design and implement new SLAM pipelines to improve global trajectory consistency and reduce drift across large-scale mapping datasets collected from different sources. Improve localization robustness across multi-session and multi-sensor capture systems. Point Cloud Registration & Alignment Improve point cloud registration pipelines for LiDAR and multi-modal datasets. Develop workflows for cross-session map alignment and map merging. Sensor Fusion & Spatial Integration Improve and develop sensor fusion pipelines integrating LiDAR, cameras, GNSS, IMU, odometry, and external references. Implement temporal synchronization and uncertainty-aware fusion methods. Integrate third-party spatial datasets and external map sources into Voxelmaps mapping pipelines. Coordinate Systems & Transformations Design and maintain coordinate transformation frameworks across different coordinate systems. Implement georeferencing and transformation validation workflows. Support spatial accuracy assessment and error analysis. Camera Systems & Optimization Maintain and optimize camera calibration and camera pose optimization pipelines. Improve trajectory accuracy through joint optimization of sensor geometry and pose estimates. Required Qualifications & Skills BS / MS in Computer Science, Robotics, Geomatics, Photogrammetry, Mathematics, or related field. 5+ years of experience in robotics, mapping, computer vision, or geospatial systems. Strong background in SLAM, localization, sensor fusion, geometric optimization, and 3D reconstruction. Strong C++ and Python skills. Experience with numerical optimization and geometry libraries. Technical Experience SLAM / Optimization GTSAM Ceres Solver g2o Factor graph optimization Bundle adjustment Point Clouds / Registration PCL Open3D ICP / NDT registration LiDAR processing Computer Vision OpenCV Camera models Calibration methods Pose estimation SfM / photogrammetry Robotics ROS / ROS2 Sensor synchronization GNSS / IMU integration State estimation Geospatial Coordinate reference systems Geodesy PROJ GDAL Transformation pipelines Preferred Qualifications Experience with large-scale mapping systems or mobile mapping platforms. Experience processing city-scale LiDAR datasets. Understanding of uncertainty propagation and covariance modeling. Experience with multi-session localization and map fusion. Background in photogrammetry or visual-inertial systems. Publications or open-source contributions in SLAM, mapping, or calibration. Work Environment This role may be remote, hybrid, or office-based depending on the selected candidate location. Candidates must be comfortable collaborating across global teams and time zones. Job Details Timeline: For immediate hire Job Type: Full Time / Permanent, with benefits required by law Location: Bristol, UK Work Model: Remote, hybrid or office-based depending on selected candidate location Pay: £85,000 - £105,000 per year, depending on experience EEO Statement: Voxelmaps is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results. Pay Range: £85,000 - £105,000 per year

Senior Mapping Localization Engineer - Oxford, United Kingdom (Hybrid) Job Id: 422 # of Openings: 1 Voxelmaps builds spatial intelligence systems that transform large-scale sensor data into accurate, usable geospatial and mapping products. We are seeking a Senior Mapping & Localization Engineer to enhance and develop core algorithms and infrastructure for localization, sensor alignment, camera geometry, and spatial data integration workflows in Oxford, UK. This role focuses on improving map consistency and accuracy across large capture datasets by solving problems in SLAM loop closure, point cloud registration, sensor fusion, camera calibration, and coordinate system transformations. You will work at the intersection of robotics, photogrammetry, computer vision, and geospatial systems. Responsibilities Mapping & Localization Enhance existing or design and implement new SLAM pipelines to improve global trajectory consistency and reduce drift across large-scale mapping datasets collected from different sources. Improve localization robustness across multi-session and multi-sensor capture systems. Point Cloud Registration & Alignment Improve point cloud registration pipelines for LiDAR and multi-modal datasets. Develop workflows for cross-session map alignment and map merging. Sensor Fusion & Spatial Integration Improve and develop sensor fusion pipelines integrating LiDAR, cameras, GNSS, IMU, odometry, and external references. Implement temporal synchronization and uncertainty-aware fusion methods. Integrate third-party spatial datasets and external map sources into Voxelmaps mapping pipelines. Coordinate Systems & Transformations Design and maintain coordinate transformation frameworks across different coordinate systems. Implement georeferencing and transformation validation workflows. Support spatial accuracy assessment and error analysis. Camera Systems & Optimization Maintain and optimize camera calibration and camera pose optimization pipelines. Improve trajectory accuracy through joint optimization of sensor geometry and pose estimates. Qualifications BS / MS in Computer Science, Robotics, Geomatics, Photogrammetry, Mathematics, or related field. 5+ years of experience in robotics, mapping, computer vision, or geospatial systems. Strong background in SLAM, localization, sensor fusion, geometric optimization, and 3D reconstruction. Strong C++ and Python skills. Experience with numerical optimization and geometry libraries. Technical Experience SLAM / Optimization GTSAM Ceres Solver g2o Factor graph optimization Bundle adjustment Point Clouds / Registration PCL Open3D ICP / NDT registration LiDAR processing Computer Vision OpenCV Camera models Calibration methods Pose estimation SfM / photogrammetry Robotics ROS / ROS2 Sensor synchronization GNSS / IMU integration State estimation Geospatial Coordinate reference systems Geodesy PROJ GDAL Transformation pipelines Preferred Qualifications Experience with large-scale mapping systems or mobile mapping platforms. Experience processing city-scale LiDAR datasets. Understanding of uncertainty propagation and covariance modeling. Experience with multi-session localization and map fusion. Background in photogrammetry or visual-inertial systems. Publications or open-source contributions in SLAM, mapping, or calibration. Work Environment This role may be remote, hybrid, or office-based depending on the selected candidate location. Candidates must be comfortable collaborating across global teams and time zones. Job Details Timeline: Immediate hire Job Type: Full Time / Permanent (benefits required by law) Location: Oxford, UK Work Model: Remote, Hybrid, or Office-based depending on location Pay: £85,000 - £105,000 per year (based on experience) EEO Statement Voxelmaps is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results.

About The Role We are seeking a Senior Data Engineer with deep expertise in SQL, data modelling, and ETL development, alongside strong experience with modern data platforms and business intelligence tools. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data solutions, including enterprise-grade data warehouses, while ensuring data integrity and enabling advanced analytics across the organisation. This role is suited to an experienced professional who can take ownership of data architecture, mentor junior team members, and drive best practices in data engineering within a collaborative IT environment. Key Responsibilities Design, develop, and maintain robust, scalable ETL/ELT pipelines to integrate data from multiple systems into centralised data platforms. Lead the design, implementation, and ongoing maintenance of data warehouses and data lake architectures. Develop and optimise complex SQL queries, stored procedures, and data models to support reporting, analytics, and operational use cases. Define and enforce data modelling standards (e.g., dimensional modelling, star/snowflake schemas). Collaborate with software engineers, analysts, and business stakeholders to translate requirements into reliable and performant data solutions. Oversee data integration processes, ensuring high performance, reliability, and security across all pipelines. Implement and champion data quality, validation, and governance frameworks. Support and optimise datasets for BI tools such as Power BI, ensuring efficient and scalable reporting solutions. Work closely with IT and Infrastructure teams to design secure, scalable, and cost-effective data environments. Mentor and support junior data engineers, promoting best practices and continuous improvement. About You Preferred Skills Advanced proficiency in SQL (T-SQL or PL/SQL), including performance tuning, indexing strategies, and query optimisation. Strong experience with ETL/ELT tools such as SSIS, Azure Data Factory, or similar. Extensive experience with relational databases (e.g., MS SQL Server, PostgreSQL, MySQL). Proven expertise in data warehouse design, implementation, and maintenance. Strong understanding of data modelling techniques, including dimensional modelling. Hands on experience with cloud data platforms (preferably Azure, though AWS or GCP also valuable). Solid understanding of data governance, data quality, and security best practices. Experience with programming/scripting languages (e.g., Python, .NET, PowerShell) for automation and data processing. Familiarity with BI tools such as Power BI or Phocas. Experience with version control systems (e.g., Git) and modern development practices. Strong analytical thinking and problem solving skills. Excellent communication skills, with the ability to engage both technical and non-technical stakeholders. Ability to work effectively in a hybrid environment (3 days office, 2 days remote). About Us GSF Car Parts is one of the UK's leading automotive parts distributors, supplying thousands of independent garages throughout the UK and Ireland with parts, tools, garage equipment and specialist training. The group has over 175 branches nationwide and a turnover exceeding £475 million. Built on the heritage and success of a dozen local brand identities acquired over several years, we have traded as one brand since November 2021. Our branch network is bolstered by centralised support and expertise from specialist departments in key areas such as procurement and supply chain, marketing and national accounts. The business also benefits from integrated IT systems, which include our industry leading catalogue system, Allicat, and access to the Group's national garage programme, Servicesure.

Solution Architect, Financial ServicesApplylocations: UK, Cambridge: UK, Remote: Switzerland, Remote: Germany, Remote: Netherlands, Remotetime type: Full timeposted on: Posted 8 Days Agojob requisition id: JRNVIDIA is a world leader in AI computing. Our innovations are transforming industries and powering the era of AI and accelerated computing. At NVIDIA, we believe in creating solutions that improve lives and contribute to a more sustainable future. Solutions Architects are trusted technical advisors to our customers. We work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence! We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key technical leads and developers to ensure successful adoption of NVIDIA based AI technology. Engaging with developers, quants, data scientists, IT managers and senior leaders is a significant part of the Solutions Architect role. What you'll be doing: Work with financial institutions and their technology ecosystem in leveraging NVIDIA's advanced technologies Provide technical guidance and support to internal teams and external stakeholders, ensuring effective ideation, research and developing solution prototypes, followed by a successful deployment. Work closely with product management, engineering, applied research and sales teams to develop and deliver comprehensive solutions. Stay updated on industry trends and advancements in hardware technologies to continually improve and innovate NVIDIA's software and data center solutions. What we need to see: BS/MS/PhD degree in Machine Learning, Computer Science, or related technical field. Minimum of 5 years of experience in AI and accelerated technologies. Background working within Financial Services firms. Expertise in writing code for training and/or inference for NVIDIA GPUs. Capable of working in a constantly evolving environment without losing focus. Self-starter with a passion for continuous learning and sharing findings across the team. Ways to stand out from the crowd: Demonstrated understanding of how GPU acceleration can be applied to financial workloads. Knowledge of software-defined infrastructure and orchestration tools (Kubernetes, OpenStack). Proficiency in cloud platforms (AWS, Azure, Google Cloud) and hybrid cloud solutions. Understanding of HPC systems: data center design, high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.NVIDIA is one of the technology industry's most desirable employers. If you're a creative person with a genuine passion for AI in finance and accelerated computing, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We encourage diversity in candidates' profiles. If you think you have the relevant skills and experience for this job, we encourage you to apply even if you lack some of the requirements listed above.

Senior Backend Engineer Department: Engineering Employment Type: Full Time Location: Hybrid/Remote Description SurrealDB is looking for a highly skilled and experienced Senior Backend Engineer to join our dynamic engineering team. Based in London or US East Coast, the ideal candidate will have a strong background in cloud technologies, building scalable backend systems, and operating production infrastructure at scale. You will play a key role in designing, developing, and maintaining our cloud-based backend infrastructure to ensure it is robust, scalable, and secure. What you will do Lead the design and implementation of scalable backend services and APIs in the cloud. Develop and maintain cloud infrastructure (AWS, Azure, GCP) ensuring high availability, scalability, and security. Design, implement, and manage databases (SQL, NoSQL), optimizing for performance and reliability. Write clean, maintainable, and efficient code in Go or Rust. Work closely with frontend developers, product managers, and other stakeholders to deliver high-quality software solutions. Provide technical leadership and mentorship to junior engineers, fostering a culture of continuous learning and improvement. Implement and advocate for best security practices, ensuring data protection and compliance with relevant regulations. Participate in on-call rotations. Develop and maintain CI/CD pipelines, automating deployment processes to streamline release cycles. About you Experience in backend development, with a focus on cloud-based solutions. Experience building public facing APIs in Go or Rust. Experience with cloud platforms (AWS, Azure, GCP). Experience deploying to Kubernetes. Solid understanding of database technologies (SQL, NoSQL). Familiarity with HTTP, WebSockets, RESTful APIs, gRPC and other communication protocols. Experience with CI/CD tooling (GitHub Actions, Jenkins, GitLab CI, CircleCI). Experience with observability and monitoring best practices. Experience being on-call for production systems. Knowledge of infrastructure as code (Pulumi, Terraform, CloudFormation). Proven work experience in a similar role. Experience with distributed systems, load balancing, and system monitoring. Willingness to adapt to remote work and collaborate with a remote workforce operating in different time zones. We understand that each candidate brings a unique set of skills and experiences, and we encourage applicants to apply even if you do not meet all the qualifications listed in the job description. Our London team have a hybrid working approach. We enjoy working and collaborating together, and require people to be in our Oxford Street office three days a week on a Tuesday, Wednesday and Thursday.