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Overview We are seeking Senior Software Engineers on either a hybrid or remote working basis to join our expanding development teams. and Jet2holidays are looking for a Senior Software Engineer to join our fast moving and growing software development team. This is an exciting role, working across a breadth of systems and technologies to deliver value and Create Memories for both our business and our customers. We have several roles within our wide range of scrum teams and are looking for passionate, technical people to join our team. What you'll do As a Senior Software Engineer, you will be joining a fast-paced scrum team, made up of a lead engineer, software engineers, automation and manual test engineers, product owners and business analysts. You will: Deliver systems that improve the experience of our customers and business users Build robust and scalable systems Actively engage in design discussions and decisions about projects Participate in team activities such as planning and estimation Mentor team members to facilitate their growth and progression Champion clean coding standards and practices. Benefits As our Senior Software Engineer, you'll have access to a wide range of benefits including: Colleague discounts on flights and Jet2holidays packages Access to a generous discretionary profit share scheme Annual pay reviews What is the tech stack? We have a wide range of technologies used across a large number of teams, including: C#, .NET Core, and Web API Web Application Frameworks (ASP.NET MVC, SPA) Enterprise content management achieved through Sitecore RESTful Microservices - light-weight efficient, decoupled APIs that scale well Event driven architectures (Kafka) Modern reactive JavaScript Frameworks (React, Next.js, Vue.js, Angular) Advanced web topologies (Headless, Jamstack) Storage technologies like SQL, Redis and SOLR Automated UI and API testing (BDD, Selenium) Cloud technologies (Azure/AWS/GCP) Containerised environments using Kubernetes, Docker and CI/CD pipelines What you'll have Our Senior Software Engineer will have previous experience in the usage of almost all our tech stacks and be extremely passionate about technology. You will also: Have strong written and verbal communication skills and be comfortable communicating and building relationships with stakeholders across the business Have prior mentoring experience or be willing to develop skills in this area to support the growth of software development team Be approachable and able to work as part of a team Offer support and expert guidance to colleagues where required

Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a heavy data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad across discovery & delivery phases of engagements; advisory, design & implementation of end-to-end solutions Contribute to internal initiatives such as; blogs, technical forums Requirements (These are not ) Good grasp of modern data engineering (distributed systems, data streaming, event-based architectures etc) and how to apply them Experience with software engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Extensive hands on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Indicium AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human like AI voice model. Today, we serve millions of users and thousands of businesses - from fast growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company-from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.

Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Head of Automation Engineering to serve as the most senior technical leader within the company. This role is ideal for a hands-on engineering leader who thrives in early-stage environments and enjoys building systems, teams, and products from scratch. Key Responsibilities Automation Architecture & Infrastructure Own and scale the company's n8n automation ecosystem, including workflow architecture, orchestration, monitoring, and performance optimization. Design automation infrastructure capable of handling multi-client operational complexity across different ICPs, channels, and campaign structures. Architect the integration layer connecting core operational tools such as Clay, Airtable, HubSpot, Slack, and outbound infrastructure platforms. Build robust error handling, monitoring, alerting, and self-healing mechanisms within automation pipelines. Ensure automation systems remain maintainable, scalable, and resilient as operational volume increases. Product Development & Engineering Build internal platforms and tools that convert operational processes into scalable software products. Develop client-facing automation tools and reporting systems that extend the company's productized service offerings. Own the full-stack development lifecycle from architecture and development to deployment and iteration. Establish engineering standards including code reviews, CI/CD pipelines, testing frameworks, and documentation. AI Systems & Intelligence Layer Design and implement production-grade AI pipelines leveraging models such as Claude and GPT. Build systems that combine AI decision-making with deterministic automation logic. Develop infrastructure for prompt engineering, model evaluation, and system performance monitoring. Optimize AI usage for cost efficiency, reliability, and scalability. Team Leadership & Technical Strategy Build and manage an automation engineering team, including hiring, mentoring, and performance management. Partner directly with the CEO/Founder to translate business strategy into technical execution. Lead sprint planning, backlog prioritization, and technical retrospectives. Make strategic build vs. buy decisions to maintain engineering velocity and competitive advantage. Non-Negotiable Deep production-level experience with n8n automation architecture and workflow design. Strong full-stack development experience with JavaScript / TypeScript, including Node.js backend systems and modern frontend frameworks (React or similar). Proven ability to lead engineering teams while remaining highly hands-on in production code. Experience building AI-powered systems using LLM APIs (Claude, OpenAI, or similar) in real-world production environments. Strong systems architecture skills, including designing scalable, fault-tolerant systems. Experience translating business problems into technical solutions in fast-moving environments. Strongly Preferred Experience building automation systems within agencies, SaaS platforms, or services businesses handling multi-client infrastructure. Experience launching products used by real customers, not just internal tools. Familiarity with modern outbound and automation tools such as Clay, Airtable, HubSpot, Slack APIs, and email infrastructure systems. Experience deploying and managing infrastructure on AWS, GCP, or similar cloud platforms. Experience using AI tools (e.g., Claude or similar) as daily development accelerators. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals

A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground breaking, ultra secure, high performance, cloud based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a 'One to Watch' on the Sunday Times Tech Track. The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, and supportive place for you to do your very best work. As Managing Architect, you will be passionate about digital, data and technology led transformation, unlocking innovation for our clients, and providing leadership throughout the client engagements. The applicant who possesses knowledge and experience of Public Sector (Central Government) and understands their governance and security processes, preferably across multiple government departments, is strongly preferred. A UK Government Security Check (SC) clearance is required for this role. If you don't hold SC clearance, we will support you to apply assuming you have lived and worked in the UK for a minimum of 5 years. Due to the nature of the projects, British citizenship is required. Duties & Responsibilities Aker Managing Architect is primarily a client delivery, management, and growth role, expected to be 90% or more of the time across one or more client assignments. Technical Leadership: Part of the client leadership team as the Client CTO for assigned projects/services, supporting the Client Delivery Director, Client Account Director and the delivery team to ensure we deliver against all client deliverables and payment milestones. Lead Architect: Lead solution, data, cloud, service and security architects/engineers during design and delivery projects and services, and responsible for delivering design documents and other key artefacts to support governance and delivery. Senior Influencer: Need to be a leader and able to influence through excellent communication skills. You will relish collaboration and embrace challenges. You will understand the nuances of business and be driven to find new solutions for our clients' biggest problems. Team Focused: Expected to build effective working relationships with delivery team members and Aker customers and operate without supervision as the technical lead across multiple projects and platforms and mentoring less experienced client team members as required. Capability and Growth: Aker is a fast growing business, so for any remaining % of time when not on client work, it is contributing to the future success of Aker by helping develop capabilities and supporting the other functions such as Sales and Product, and always looking to help grow existing accounts. Essential Experience and Competencies The successful candidate will need to have experience as a lead or managing architect across these core areas: Delivery - designing, delivering platforms and managed services at enterprise scale, specifically bespoke software solutions, particularly in streaming and cloud native solutions. Data Platforms - designing modern data platforms with appropriate architecture covering Data Mesh, Data Fabric, Data Lake etc. Data/Analytics - solving enterprise data and analytics problems using technology Cloud - hands on Public Cloud experience in either AWS/Azure/Google, both their 'services' and 'how' to work in the cloud such as DevOps centric approach Security - having worked in sensitive data environments and ideally have experience facing off to cyber security specialists. The successful candidate will meet all of the following essential criteria: Demonstrable experience in designing large scale cloud migration projects/programmes with open source and commercial software within AWS, Azure, GCP or hybrid Experience in operating within a multi disciplined team and clearly communicating complex technology solutions to technical and non technical people Experience designing event processing and async messaging architectures Experience applying latest technologies to solve complex problems and to develop innovative data and analytical solutions Working knowledge of cloud orchestration and containerisation technologies, such as Docker and Kubernetes Working knowledge of DevOps, CI/CD and Infrastructure as Code Understanding of NCSC Cloud Security Principles and its practical implementations Aker Systems Attributes At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion. In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more. Equality, Diversity & Inclusion Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.

About the Role: Grade Level (for internal use): 15 The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is orientated around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology (current and future state) assets to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well-rounded team: Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts Bgov ernance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact: Establish and run formal governance mechanisms, including an Enterprise-wide Architecture Review Board (EARB), Divisional Architecture Boards (DABs), Software Governance Board (SGB) and other critical processes to embed standardized architectural governance across the Divisions. Drive operational execution of these bodies, ensuring compliance with architecture standards, and documentation of critical technical decisions. Activate and grow the architecture community of practice to promote shared standards and practices as well as build a network of architects with shared ways of working, tools, and frameworks. Own communication strategy to build the architecture community and foster an Innovation culture. Provide strategic guidance and ensure consistency of all architecture artifacts, adhering to future state standards for EA artifacts and ensure alignment across Divisions and architecture domains. Form important partnerships across the enterprise, both internal and external, to facilitate collaboration and stay informed of new capabilities and emerging technology trends. Support the development, maintenance, and governance of the newly established enterprise architecture function. Lead stakeholder engagement across business and technology leadership. Support the architecture across major domains: business, application, data, and infrastructure/technology (cloud, edge, streaming, SaaS/PaaS). Drive alignment with new acquisition/integration (M&A) initiatives to ensure smooth architectural integration of new businesses, participating in due diligence as necessary. Establish and run Centers of Excellence as the Enterprise Architecture function maturity evolves. Contribute to architectural effectiveness reporting to track key metrics such adherence to approved standards, measuring the reduction of technical debt logged via the ARB process, and evaluating the level of engagement and adoption of shared knowledge and training within the community. Champion FinOps practices, ensuring financial accountability and optimization of cloud and technology spend across architecture initiatives, and collaborate with finance and technology teams to establish cost transparency, forecasting, and reporting mechanisms. Serve as a hands on architect, bringing expertise in Markdown for documentation, Spec Driven Development for robust design processes, GitHub for code management and collaboration, Mermaid for architecture diagramming, Cloud Security Posture Management (CSPM) for cloud security governance, Backstage for developer portal management, and policy as code for automated compliance and governance. Required Skills, Experience, and Knowledge As an Enterprise Architect: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise-level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, realtime analytics, digital platforms). Proven, hands on experience architecting solutions using Markdown for technical documentation, Spec Driven Development methodologies, GitHub for source control and collaboration, Mermaid for visualizing system architectures, CSPM for cloud security, Backstage for developer experience, and policy as code for automated governance and compliance. Demonstrated experience implementing FinOps practices, including cost optimization strategies, cloud spend analysis, and financial governance in technology environment 10+ years of experience in enterprise architecture or related fields, with a proven ability to establish governance frameworks and lead architectural initiatives that drive business value and compliance. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. As the Governance and Community team: Significant experience operating or chairing a formal Architecture Review Board (ARB), compliance activities (including exception and exemption handling) or equivalent technical governance body in a large, global organization. Extensive experience in setting up best practices for architecture & Design principles, Solution guidelines and business case formats, etc., to align diverse teams to a unified & common platform. Advanced analytical skills to analyze the current IT environment to detect critical deficiencies and recommend practical solutions for improvement. Identify organizational requirements for resources (financial, skill, and process resources), as well as structures & cultural change necessary to support the Enterprise Architecture function. Advanced analytical and reasoning skills to analyse functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Experience in managing large scale projects and organizational change initiatives to navigate implementation challenges and ensure effective governance processes. Demonstrated ability to identify and quantify organizational requirements for resources (financial, skill, and process resources), structures, and cultural change necessary to effectively support the Enterprise Architecture function. Effective communication and networking skills, capable of fostering an innovative culture, engage architecture community of practice and drive adoption of new processes. Strong people leadership skills with ability to mentor, and work the Divisional technical teams on architectural artefacts, a focus on continual learning. . click apply for full job details

Life at UiPath The people at UiPath believes in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who is curious, self propelled, generous, and genuine. People who loves being part of a fast moving, fast thinking growth company. And people who cares-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission As a Principal Software Engineering Manager in the UiPath IXP organization, you will shape the technical direction of our intelligent document processing platform and the systems powering AI driven extraction at enterprise scale. You will also directly manage a team of engineers, combining hands on technical leadership with people management responsibility. You will provide technical leadership, architectural vision, and strategic ownership across multiple services - influencing how we design, build, and operate distributed AI systems globally. You will guide the evolution of backend services, real time pipelines, and platform infrastructure supporting specialized and generative AI models. A key part of this role is guiding the technical strategy for applied AI systems - helping the organization decide when to leverage external foundational models versus internally developed or self hosted models, balancing performance, cost, privacy, and long term platform differentiation. What you'll do at UiPath Technical Leadership & Vision Define and drive the long term architectural direction for core backend and platform systems supporting enterprise scale AI workloads. Identify systemic technical risks and opportunities, leading initiatives that improve scalability, reliability, and developer productivity across teams. Establish engineering standards, architectural principles, and best practices adopted across the organization. Partner with product and engineering leadership to translate business strategy into technical execution. AI Strategy & Applied Decision Making Collaborate with research teams to translate experimental models into reliable production systems. Drive architectural decisions around hybrid AI systems combining deterministic logic, classical ML, and generative AI. Define patterns for safe, observable, and scalable model deployment and inference. Ensure AI platform evolution aligns with enterprise customer expectations around security, privacy, and reliability. People Management Directly manage 5-10 engineers, owning their career development, performance reviews, goal setting, and day to day coaching. Foster a high performing, inclusive team culture grounded in psychological safety and engineering excellence. Drive hiring, onboarding, and retention for your team; participate in calibration and compensation planning. Remove blockers, balance workload, and ensure team health alongside delivery commitments. What you'll bring to the team 7+ years designing and operating large scale distributed commercial systems. 2+ years of experience directly managing software engineers, including performance management, career development, and team building. Demonstrated impact beyond a single team, influencing architecture or engineering direction across multiple groups. Deep expertise in backend systems, distributed architectures, concurrency, and performance optimization. Strong experience with cloud ecosystems (Azure, AWS, or GCP) and container orchestration (Docker, Kubernetes, Helm). Proficiency in Python or comparable backend languages; Rust or other systems languages a strong plus. Experience with distributed databases and data platforms (e.g., PostgreSQL, CockroachDB, Elasticsearch). Strong architectural judgment and ability to evaluate trade offs across scale, complexity, and delivery timelines. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences and coach engineers at varying levels of seniority. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neuro diversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.

For airports, for partners, for people. We are CAVU. At CAVU, our purpose is to find new and better ways to make airport travel seamless and enjoyable for everybody-from the smallest ideas to the biggest transformations. Every day is an opportunity to create better travel experiences. From our revenue-accelerating single-platform technology, Propel, through to our world-class hospitality venues including 1903 and Escape Lounges, our solutions make travel smoother for passengers and more profitable for our clients and partners. We know that to bring your best ideas, you need the space to think, the support to grow, and the freedom to be your authentic self. Whether you're working from our offices, from home, in our lounges, or on the road, we provide an environment where you can create, innovate, and help transform airport travel. If you're looking for a career where you can make a real impact, bring new ideas to life, and push boundaries, then CAVU is the place for you. Together, we can reach new heights. Together, we are CAVU. What's the role? CAVU is well into an exciting digital and data transformation journey. With the acquisition of new brands, the expansion of our product portfolio, and a commitment to best-in-class technology, data has become fundamental to how we operate and grow. As we progress towards a fully event-based architecture with data quality at the heart of everything we do, we're now looking for a Head of Data Engineering to join our Data leadership team. This role will shape, strengthen, and scale our centralised data engineering function-ensuring our platforms, pipelines, and architecture are robust, forward-thinking, and fit for the future. You'll bring deep expertise across modern data engineering practices, strong technical solution-design capability (particularly with Databricks), and the leadership to empower a high-performing engineering team. Key Responsibilities Team Leadership: Lead, manage and mentor a team of data engineers, fostering a culture of collaboration, learning, and innovation. Strategic Ownership: Develop and execute the data engineering strategy, ensuring alignment with business objectives and long-term data ambitions. Data Architecture: Design, oversee, and continually improve CAVU's data storage, processing, and integration architecture. Pipeline Excellence: Ensure the delivery of scalable, high-quality data pipelines for ingestion, transformation and storage. Cross-Functional Collaboration: Partner closely with data science, analytics, product, and engineering teams to ensure data is accessible, discoverable, and meets CAVU standards. Data Quality & Governance: Establish and champion best practices for data quality, governance, observability, and security. Technology Evaluation: Stay ahead of data engineering trends and evaluate emerging tools to enhance the team's capabilities. Budget & Resource Management: Own the data engineering budget and ensure efficient use of infrastructure and resources. Stakeholder Management: Anticipate issues, remove blockers, and communicate effectively with technical and non-technical stakeholders. About You You're a strategic and hands-on data leader with a passion for building scalable systems, high-performing teams, and exceptional data products. You're motivated by solving complex problems, enabling others to thrive, and shaping the future of data at CAVU. Qualifications & Experience Strong experience with medallion architecture and Databricks Proficiency with ETL tools (e.g., Rivery) and ML-Ops frameworks Strong programming skills (Python, Scala or Java) Experience with cloud platforms (AWS, Azure, or GCP) Excellent communication skills with the ability to bring clarity to complexity Proven ability to anticipate problems and resolve them with ease Preferred Experience working in a SaaS environment Exposure to machine learning and AI tooling The Perks 25 days holiday, increasing with service (up to 28) Option to buy up to 10 extra days + 4 flexible bank holidays 10% company pension On-site gym A range of flexible benefits and discounts, including up to 50% off CAVU products such as Escape Lounges and Airport Parking Rail and retail discounts 2 paid volunteering days per year Access to health & wellbeing events, ID&E activities, and learning opportunities Formal and informal development options, including mentoring programmes and learning grants Enhanced parental leave (T&Cs apply) The Interview Process Recruiter Screen (approx. 15 minutes) - We'll cover your experience, motivations, and role fit Skills & Competency Interview Values Interview Equal Opportunities & Reasonable Adjustments We're building something brilliant at CAVU: a diverse team of People who reflect the global customer base that we serve. We're proudly part of MAG and together we're on a mission to be number one in our industries, and that takes talent in all its forms. With so many exciting roles across businesses, there's space of your unique strengths to shine. Whether this is your first role or your next big step, we want to hear from you - even if you don't think you tick every box. What matters most is what you bring. We're proud to be a Disability Confident employer. If you need any adjustments to support your application or interview, just let us know. We're committed to helping you perform at your best. At MAG and CAVU, every journey matters. Our Colleague Communities play a big part in that: Women's Network, Embrace (Race & Ethnicity), Fly with Pride (LGBTQIA+), Mind Matters (Mental Health), PACT (Parents & Carers), RespectABILITY (Disability & Neurodiversity), and the CAVU Global ID&E Affinity Group.