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Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: We’re looking for a Senior Solutions Architect (Professional Services) to join Grafana Labs’ world-class Customer Experience team. This is a highly hands-on role for technically skilled professionals who thrive on helping customers solve complex problems, accelerate adoption, and drive real business outcomes with Grafana at the center. As a Solutions Architect, you’ll be a trusted technical partner—not a quota-carrying seller, but a customer-first advocate who leads with authenticity and insight. You’ll guide organizations through onboarding, implementation, and expansion by offering white-glove support, best practices, and proven strategies gathered from across our customer base. You’ll operate with one foot in the code and the other in the customer’s world. Whether it’s understanding container orchestration in Kubernetes, fine-tuning Prometheus queries, or clarifying the nuances between logs, metrics, and traces—you’ll bring clarity and confidence to complex technical landscapes. You know the difference between "pets and cattle" and why that matters for scalable observability. You’ll deliver high-impact training, jumpstart engagements, and offer tailored technical consulting to help customers succeed. As an embedded partner during critical phases, you’ll provide roadmap assurance, guide project execution, and ensure Grafana's capabilities align with the customer’s architecture, goals, and constraints. Along the way, you’ll identify recurring issues, monitor support needs, and advocate for product improvements in close collaboration with internal teams. Success in this role means being a strategic thinker and a command-line problem solver. You’re passionate about OSS, love engaging with customers, and have the instincts to manage timelines, unblock teams, and deliver value at every stage of the engagement. Join us and help elevate the Grafana customer experience through world-class technical delivery and meaningful impact. What You'll Be Doing: • Effective in working with customers, including business executives, project managers, and IT development staff., • Effective in understanding business needs and distilling the information into business and technical requirements., • Comfortable working with complex business and technological requirements and translating into the design of solutions, including data visualization, workflow recommendations, migrations, and enterprise scale architecture., • Ability to act as a functional lead and able to demonstrate clear approach to methodology as well as functional capabilities. Leads functional workshops with customers, documents requirements, and designs appropriate solutions., • Speed is paramount. This team is nimble and is the fulcrum to accelerate the delivery of the solution for customers., • Be a strong advocate for adherence to standards and best practices., • Stay current on Grafana Labs, observability, and related technologies., • You'll be a key resource for our Sales, Product Management, Engineering, Support, and Professional Services teams as they look to drive innovation and improvements into future product and offering enhancements., • If you enjoy working with customers to help them succeed and thrive on working with leading-edge technologies, this is the role for you. What Makes You a Great Fit: • Located in the UK, • 5+ years of experience working on deployment teams, using project management techniques., • Direct experience with o11y., • Best practices for both using and deploying an o11y stack (visualization, alerting, metrics, logs, traces) - preferably with Grafana products (Grafana, Prometheus/Cortex/Enterprise Metrics, Loki/Enterprise Logs, Jaeger/Tempo)., • A proven track record of successful delivery of customer projects, preferably enterprise o11y implementations for large customers, • Excellent communication skills to communicate with customers, partners, and internal members., • Kubernetes (kubectl, Helm, Tanka preferred)., • Experience with Cloud Platforms - AWS, GCP, Azure Bonus Points For: • Self-starter, adept at picking up new skills and technologies, and eager to break new ground., • Vision to help us take our company to the next level. Compensation & Rewards: In the UK, the base compensation range for this role is £103,900 - £124,500. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

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

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. _ as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As a Solutions Architect in GitLab's Northern Europe team, you'll be a trusted advisor to GitLab prospects and customers, helping them understand how GitLab's DevSecOps platform addresses both technical requirements and business objectives across the entire software development lifecycle. You'll guide organizations through their digital transformation journeys, from planning through monitoring, using your technical expertise, understanding of cloud and modern software development practices, and strong customer empathy. Reporting to a regional Solutions Architect manager and partnering closely with Account Executives and cross-functional teams, you'll own technical evaluations (including proof of value initiatives and workshops), shape solution architectures, and serve as the voice of the customer back to Product Management. You'll focus on driving successful platform adoption, influencing revenue growth through solution selling, and building long-term, trust-based relationships that showcase GitLab's differentiated position in an AI-driven DevSecOps landscape. • Lead technical discovery, demos, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the full lifecycle., • Drive the technical evaluation process as the directly responsible individual, including solution design, POC/POV ownership, workshop design, and the technical components of tenders, audits, and value stream assessments., • Collaborate with Account Executives and regional sales teams across Northern EU to shape and execute account strategies that support new customer acquisition and expansion., • Build and deepen relationships with technical practitioners and business leaders, guiding them through GitLab-driven transformation and enabling them to become GitLab advocates., • Advise customers on modern software development, continuous integration, continuous deployment, security, and cloud practices, challenging existing approaches to improve return on investment., • Serve as the voice of the customer with Product Management, Engineering, Sales, and Marketing by sharing feedback, use cases, and competitive insights that inform roadmap and positioning., • Maintain and extend your technical expertise in GitLab, DevSecOps, AI, and related cloud technologies, creating reusable examples, best practice guidance, and technical collateral for customers and partners., • Invest in your own growth and development through ongoing learning, mentorship, and knowledge sharing to continuously improve the impact of the Solutions Architect team., • 4+ years of experience engaging with customers in technical pre-sales, consulting, or similar roles, guiding them through solution design and evaluation., • Proficiency with the end-to-end software development lifecycle, including modern DevSecOps practices and continuous integration and continuous deployment workflows., • Hands-on experience with GitLab or comparable source control, CI/CD, and collaboration platforms, and the ability to map platform capabilities to customer use cases., • Practical knowledge of cloud computing concepts and related technologies, with the ability to discuss deployment, security, and operations options with technical teams., • Ability to lead technical evaluations such as proofs of concept or proofs of value, contribute to tenders or audits, and design and run workshops or value stream assessments., • Clear technical communication and presentation skills, with the ability to adapt messages for practitioners through to senior business and technical decision makers., • Skill in building trusted relationships, listening with empathy, and acting as a customer advocate to internal teams such as Product, Engineering, Sales, and Marketing., • Motivation to continuously develop professionally, including learning new technologies, deepening GitLab platform expertise, and applying transferable experience from related fields. #LI-CM1 We, the Solutions Architect team, are part of GitLab's Sales organization and serve as the technical counterpart to Account Executives, with this role focused on opportunities across Northern EU reporting into a regional Solutions Architect Manager. Our mission is to help customers realize the full value of GitLab's AI-powered DevSecOps platform by advising on architecture, running technical evaluations such as proofs of value, and guiding customers through their digital transformation. We work closely with Sales, Product Management, Engineering, and Marketing, collaborating asynchronously across regions to share best practices, create reusable technical collateral, and act as the voice of the customer. We are focused on helping customers modernize end-to-end software delivery, adopt GitLab at scale, and navigate a rapidly evolving AI and DevSecOps landscape. How GitLab Supports Full-Time Employees • _, • _, • _, • _, • _, • _ Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from _ are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our _ Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also and . If you have a disability or special need that requires , please let us know during the .

Job title: Junior Solutions Architect Location: Edinburgh Hybrid role working 2 days a week in the office Salary: £40,000 to £50,000 pa Contract: 6-month fixed term contract Our market-leading financial services client is seeking an a motivated, detail focused Junior Solutions Architect to join the Business Transaction Banking division. As a Solutions Architect, you will be responsible for designing scalable, highly secure, and resilient data and AI systems, while driving strategic initiatives including Machine Learning, and GCP cloud migration. This role bridges business needs with technical execution, involving stakeholder management, cloud-native architecture development, and ensuring compliance with data governance, security, and ethical AI standards. Key Responsibilities Strategy & Design: Define end to end architectures for AI, ML, data, and agentic AI solutions running on Google Cloud Platform. Ensuring alignment to platform strategy, technology standards, and security controls Technical: Deliver high-quality, secure solutions using GCP cloud-native services, and event- driven patterns. Architect GCP workloads using services such as BigQuery, Cloud Run, GKE, Cloud Storage, Dataflow, Pub/Sub, Vertex AI, Looker, and Cloud Composer Cloud, Platform & Integration: Apply understanding of Kubernetes, service mesh, ingress, workload identity, and network/security boundaries. Design Patterns: Design and implement API and service integration patterns using Istio, Apigee, and modern microservice standards Governance & Compliance: Ensure solutions meet strict regulatory, risk management, and security standards. Collaboration: Work with engineering, data science, and business teams to translate requirements into actionable, high-level designs. Skills and Experience Experience using cloud platforms such as GCP/Azure Data & AI Knowledge. An understanding of modern data architecture, Machine Learning, and AI tools. Experience in largescale data migrations with ETL toolset. Knowledge of designing orchestrations and technical patterns for agentic AI, Large Language Model based systems, Retrieval-Augmented Generation (RAG) and workflow orchestration. Experience communicating technical concepts in design forums representing the Lab's technical direction. Great attention to detail Analytical mindset and uses a methodological approach to complete tasks. Resilient Confident, professional, and able to work effectively with multiple teams.You will be a valued member of our Adecco Emerging Talent function working onsite with a market-leading organisation, initially, the assignment is 12 months with scope for extension in the future, so you need to be someone with a permanent mindset! If you have the experience and desire to work for a well-respected organisation offering personal and professional support, growth and development, then you could be a perfect fit for the team and we want to hear from you - APPLY NOW. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Adecco Emerging talent is an employment consultancy and operates as an equal opportunities' employer

\n DevOps Engineer - Public Sector - Outside IR35 - Edinburgh/Flexible Market Rates \n Duration - 9 months \n Harvey Nash is supporting a key public sector client in sourcing an experienced DevOps Engineer to design, build and operate scalable, secure, and automated cloud platforms. \n This role will support delivery across multiple digital services and platforms, combining infrastructure, development, and automation expertise. The successful candidate will play a key role in platform engineering, Azure Landing Zone development, and emerging AI-enabled services, while promoting DevOps best practices and supporting team capability uplift. \n Key Responsibilities \n \n • Design, build and manage Kubernetes clusters, including workload isolation and private networking\n, • Implement GitOps delivery models using ArgoCD across multiple environments\n, • Develop and maintain Infrastructure as Code using Terraform, ARM templates and Bicep\n, • Design and manage CI/CD pipelines within Azure DevOps, following modern DevOps practices\n, • Manage container build processes, registries, and deployment pipelines\n, • Configure and support service mesh and distributed system architectures\n, • Implement autoscaling solutions including event-driven and horizontal scaling\n, • Design and support workflow orchestration capabilities\n, • Deploy and manage AI and GPU-based workloads\n, • Implement monitoring and observability using Prometheus, Grafana, Azure Monitor and Application Insights\n, • Design secure cloud networking (private endpoints, DNS, hub-and-spoke architecture)\n, • Manage secrets, identity, and certificates using modern authentication methods (OIDC, federation)\n, • Build and support event-driven and messaging platforms\n, • Administer managed data services and storage platforms\n, • Ensure security, compliance, and vulnerability management across container platforms\n, • Provide production support, incident management, and operational automation\n, • Support delivery and integration of Power Platform solutions (Power Apps, Power Automate, Dataverse, Copilot)\n, • Develop automation scripts using PowerShell, Azure CLI, Python, Bash, YAML, and JSON\n \n Key Skills & Experience \n \n • Strong experience across Microsoft Azure cloud platform\n, • Proven Kubernetes administration and cluster design expertise\n, • Experience implementing GitOps approaches (e.g. ArgoCD)\n, • Strong Infrastructure as Code experience (Terraform, ARM, Bicep)\n, • CI/CD pipeline development using Azure DevOps\n, • Experience working in DevOps-led delivery environments using Kanban or similar workflows\n, • Strong knowledge of containerisation and application lifecycle management\n, • Experience with service mesh, distributed systems, and event-driven architectures\n, • Observability tooling experience (Prometheus, Grafana, Azure Monitor, App Insights)\n, • Strong knowledge of cloud networking and secure architecture design\n, • Identity and access management experience (OIDC, federation)\n, • Experience managing production environments, incident response, and automation\n, • Linux administration and scripting (Bash, PowerShell)\n, • Experience working with multidisciplinary delivery teams\n \n \n Desirable Experience \n \n • Exposure to database and caching technologies (Azure SQL, CosmosDB, MongoDB, PostgreSQL, MySQL, Redis)\n, • Power Platform development (PowerFX, Power Query, DAX)\n, • Advanced scripting and automation capability\n, • Experience across additional cloud platforms beyond Azure\n \n \n Additional Information \n \n • Experience in complex, large-scale environments is highly desirable\n, • Strong communication skills with the ability to engage technical and non-technical stakeholders\n \n Please note that you must be eligible for BPSS Clearance and a Level 2 Disclosure Scotland to commence this post. \n \n \n \n To \n \n From\n \n Record Yes No \n \n \n Always use these settings\n \n \n

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

Senior AI Engineer Location: Scotland (Edinburgh Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Shape the future of AI-powered financial services through cutting-edge generative AI engineering and enterprise-scale innovation. We’re looking for a Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery team. In this role, you’ll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You’ll work hands‑on across the full AI engineering lifecycle, from architecting intelligent multi‑agent systems to deploying scalable production‑grade AI applications within enterprise environments. As a senior consultant, you’ll also collaborate closely with multidisciplinary teams and client stakeholders to drive innovation, accelerate adoption, and deliver measurable business impact. This role is aligned to our Scotland office, with flexibility to work from either Glasgow or Edinburgh depending on client expectations. • Architect and develop autonomous AI systems leveraging multi‑modal large language models across text, image, audio, and video, • Design and implement agentic workflows using prompt engineering, Retrieval‑Augmented Generation (RAG), APIs, and enterprise data integrations, • Fine‑tune, optimize, and deploy large language and multi‑modal models with a focus on scalability, reliability, and low‑latency performance, • Build scalable MLOps pipelines and cloud‑native AI applications to support secure, production‑grade deployments, • Collaborate with clients and cross‑functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments, • Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM discipline, • Proven hands‑on experience deploying LLMs and multi‑modal AI models within enterprise or large‑scale production environments, • Strong software engineering expertise in Python, including backend development, API design, and distributed systems, • Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud‑native AI deployment architectures, • Excellent communication, stakeholder management, and problem‑solving skills within agile delivery environments, • Experience building AI agent frameworks or autonomous orchestration platforms, • Knowledge of vector databases, semantic search, and advanced RAG architectures, • Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads, • Familiarity with financial services, banking, or regulated enterprise environments, • Exposure to AI governance, model monitoring, and responsible AI practices, • Deliver high‑impact technology solutions for Tier 1 financial institutions, • Work in a collaborative, flat, and entrepreneurial consulting culture, • Access continuous learning, training, and industry certifications, • Be part of a team shaping the future of digital financial services, • Help shape the future of digital transformation across FS & Energy, • Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover., • Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in‑house first aiders., • Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement., • Family Care: 8 complimentary backup care sessions for emergency childcare or elder care., • Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs., • Continuous Learning: Your growth, your way - minimum 40 Hours of Training Annually. Take your pick; workshops, certifications, e‑learning. Also, Business Coach assigned from Day One: Get one‑on‑one guidance to fast‑track your goals and accelerate your development., • Healthcare Access: Convenient online GP services., • Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance. We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day. #LI-DNI #J-18808-Ljbffr

The Deal Architect is a senior strategic leader responsible for shaping, designing, and governing complex multi‑million‑dollar technology and managed services deals. This role is central to orchestrating end‑to‑end solutioning across technical, commercial, delivery, and contractual components of large strategic pursuits. With 18+ years of experience, the Deal Architect acts as the linchpin between customers, sales, delivery, and domain specialists—ensuring that the final solution is winnable, deliverable, cost‑optimised, and aligned with the customer’s business outcomes. • Deal & Solution Architecture Leadership, • Lead the architecture of complex, multi‑tower solutions covering cloud, data, digital engineering, service management, platforms, and application modernization., • Translate high‑level business requirements into integrated technical, service, and commercial solution frameworks., • Govern solution integrity across technology, delivery, transition, pricing, and contractual streams., • Strategic Pursuit Ownership, • Own and orchestrate end‑to‑end solution development for major RFPs, RFIs, and sole‑source pursuits., • Gate the progression of opportunities by evaluating strategic fit, solution feasibility, delivery risk, and commercial viability., • Drive and document win themes, value propositions, differentiators, and commercial levers., • Cross‑Functional Orchestration, • Coordinate with Solution Architects, Technical Directors, Domain Advisors, Finance, Legal, Delivery, and Commercial teams., • Ensure all pursuit artefacts (SOWs, pricing sheets, TOM, SLAs/XLAs, transition plans) align to a cohesive solution., • Facilitate solution workshops, customer discovery sessions, and deep‑dive technical/operational interviews., • Financial & Commercial Architecture, • Shape pricing models including T&M, Fixed Price, Outcome‑based, or Managed Service constructs., • Ensure commercial solutions reflect risk‑adjusted costing, transition/run budgets, and margin expectations., • Challenge cost inputs, optimise delivery models (onshore/nearshore/offshore), and improve deal competitiveness., • Governance & Compliance, • Lead internal solution reviews, Red Team/Black Hat sessions, and CXO sign‑offs., • Ensure alignment with enterprise frameworks, risk controls, security standards, and architectural governance., • Validate compliance with customer‑mandated standards, due diligence requirements, and regulatory expectations., • Customer Engagement, • Act as a senior customer‑facing solution leader in orals, workshops, and commercial negotiations., • Build executive‑level trust by articulating solution rationale, trade‑offs, delivery models, and roadmap visions., • Knowledge Leadership, • Mentor junior architects and presales contributors., • Evolve solution patterns, playbooks, reusable assets, cost models, and value accelerators., • Contribute to thought leadership and industry‑aligned solution frameworks. Required Experience • End‑to‑end architecture expertise across Cloud (AWS/Azure), Data Platforms, Integration, Modern Applications, DevOps, and Enterprise IT landscapes, • Experience designing large‑scale multi‑tower solutions including:, • Cloud migrations & managed services, • Digital transformation programmes, • Multi‑region delivery frameworks, • Service management & automation pipelines, • Security & governance overlays, • Extensive experience building complex pricing models for multi‑year deals., • Strong understanding of cost structures, resource models, rate cards, GP/NP levers, and risk buffers., • Exposure to constructing managed service contracts with SLAs, XLAs, KPIs, and outcome‑based models., • Proven track record working on competitive RFPs, framework renewals, and large strategic deals., • Experience interacting with CxO stakeholders, procurement teams, and architecture governance boards., • Ability to run deal strategy cycles, competitive analysis, and bid optimisation., • Ability to orchestrate large virtual teams across sales, delivery, architecture, finance, and legal., • Excellent communication, storytelling, and executive‑level presentation ability., • Strong stakeholder management and negotiation capabilities. Strategic • Enterprise‑level architectural thinking, • Business‑case modelling & commercial optimisation, • Market, industry, and competitive insight, • Innovation & value engineering mindset Technical • Multi‑cloud architectures (Azure/AWS), • Data, integration, and automation frameworks, • Modern engineering practices (CI/CD, DevOps, SRE), • Security & compliance frameworks Behavioural • Executive presence and gravitas, • Structured problem‑solving, • Collaborative leadership, • High resilience under bid pressure, • Ability to navigate ambiguity and derive clarity, • Bachelor’s / Master’s degree in Engineering, Computer Science, or related field, • Certifications: TOGAF, AWS/Azure Architect, ITIL, PMP/Prince2 (optional), • Experience in consulting, system integration, or managed services environments, • Experience engaging with global delivery models, • Share in our success with our Quarterly Performance‑Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits, • Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme, • Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance, • Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme, • Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies, • Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat, • Reward schemes including Version 1’s Annual Excellence Awards & ‘Call‑Out’ platform., • Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. Version 1 is an equal opportunities employer. We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity. If you need reasonable adjustments at any stage of the process, please contact your recruiter at Version 1. We will consider all requests carefully, respectfully and confidentially. #J-18808-Ljbffr

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Were on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of AI. Sitting at the heart of Skys Group Architecture function, the AI architecture team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI. As an AI Solution Architect, youll work alongside data scientists, product thinkers, and domain experts to shape the way Sky uses AI, Agents and large language models to unlock real value across the business. What you'll do Design Enterprise-Grade Solutions: Architect end-to-end systems using AI, Agent Frameworks and LLMs turning business problems into scalable, secure and performant technology blueprints. Partner Strategically: Engage with senior stakeholders across Sky to align AI capabilities with real commercial goals, applying your consulting mindset to shape strategic solutions. Bridge Tech and Business: Act as the connective tissue between engineering, data science, and business units ensuring clarity, alignment and momentum across the delivery lifecycle. Collaborate Cross Functionally: Work closely with developers, architects, project managers and data scientists to bring innovative AI products to life. Mitigate Risk by Design: Anticipate risks and embed security, compliance, and operational resilience into every solution from the ground up. Drive value and impact: steer business and engineering teams towards sustainable AI solutions that deliver real value for the business long term, avoiding duplication and tech debt. Document with Precision: Produce robust architectural documentation, data models, and specifications to guide successful implementation and handover. What you'll bring Proven experience architecting AI solutions in complex, enterprise environments especially involving Agentic, GenAI or LLM technologies. Strong working knowledge of cloud platforms (AWS, Azure, GCP) and their native AI tools and services. Background in consulting or business-facing solution design, with the ability to distil complex requirements into elegant cost-effective architectures. Programming experience and fluency with common AI/ML frameworks, services and deployment practices. Exceptional problem-solving skills and the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Excellent communication and stakeholder management skills; you're comfortable presenting to execs and collaborating across disciplines. A strategic, problem-solving mindset able to weigh technical trade-offs and drive high-value decisions Essential criteria: Strong solution architecture capability, including the ability to translate business problems into secure, scalable, resilient and cost-effective technology designs. Hands-on knowledge of at least one major cloud platform AWS, Azure or GCP including relevant AI, data, integration and deployment services. Desirable skills and experience:? Experience with agentic AI patterns, orchestration frameworks, retrieval augmented generation, prompt engineering and responsible AI practices. Knowledge of data architecture, integration patterns, APIs, event-driven design and enterprise platforms used to connect AI solutions into production environments. Experience operating in agile delivery environments, supporting governance forums, architecture reviews and technical decision-making across multi-disciplinary teams. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Heres a taster: Free Sky TV or NOW package, including Sky Sports and Sky Cinema Pension package?with up to 9% employer contribution Private healthcare?with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect? Sharesave and Tech schemes A range of Sky VIP rewards and experiences? How youll work? We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week.? Your office space: Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus theres onsite parking available for cars, motorbikes and bicycles. Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. Theres also plenty of bike shelters and showers. On campus, youll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. Who we are? Were Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means youll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. Were an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates.?We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can.? Just so you know: if your application is successful, well ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To find out more about working with us, search #LifeAtSky on social media. JBRP1_UKTJ

You’ll be joining PwC’s Risk Line of Service, within our AI & Modelling team, working at the forefront of AI-enabled transformation in the insurance sector. This role is for people who understand technology deeply enough to shape and execute a vision, not just talk about it. You will help insurance clients design, build and embed Generative AI, agentic and advanced analytics solutions across finance, actuarial, pricing, capital and risk functions, operating in an environment where technologies, architectures and regulatory expectations are evolving rapidly. As a Manager / Senior Manager, you will sit close to the technology: shaping solution architecture, guiding engineering and modelling teams, and ensuring that AI solutions are robust, scalable, explainable and fit for purpose in a regulated insurance environment. You will work alongside actuaries, data scientists, engineers and insurance specialists, and will be supported by PwC’s onshore and offshore Technology and AI Centres of Excellence. • Leading the design and delivery of AI-enabled solutions, from problem definition through to deployment, across insurance pricing, reserving, capital modelling, finance transformation and risk analytics., • Shaping solution architectures for Generative AI and agentic systems, including decisions around data, models, orchestration, controls and integration into existing platforms., • Working hands‑on with technical teams (engineers, data scientists, actuaries) to translate vision into buildable, testable and scalable solutions., • Embedding AI responsibly, ensuring solutions meet expectations around model risk management, explainability, auditability, security and governance., • You have strong experience delivering technology-enabled transformation, in insurance or financial services, but with clear hands‑on involvement in solution design and delivery., • You have practical experience with modern AI and analytics approaches, such as Generative AI and large language model–based systems, Agentic or decision‑automation architectures, Advanced analytics and modelling in regulated environments., • You understand how AI solutions are built and operated, including data pipelines and feature engineering, model lifecycle management (development, testing, monitoring), and integration with enterprise systems and workflows., • You are comfortable making architectural and design decisions in situations where there is no single “right answer”, and technology choices evolve rapidly., • You understand insurance finance, actuarial, pricing, risk or capital well enough to design solutions that work in practice, not just in theory., • You can lead technical teams without needing to be the deepest specialist, providing direction, challenge and structure while enabling others to do their best work. We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more. #J-18808-Ljbffr

Mission Engineer in the United Kingdom to bridge communications physics with software orchestration.

Director of Sales, AI & Experience Orchestration to lead a team focused on driving AI-powered customer experience solutions.

Genesys is seeking an AI & Experience Orchestration Director to lead strategic engagements and drive the adoption of AI solutions.

Job Summary: The AI and Experience Orchestration Director leads strategic engagements, working closely with core account teams to accelerate adoption of Genesys native AI and Experience Orchestration capabilities. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizati

Job Summary: The AI and Experience Orchestration Director leads strategic engagements, working closely with core account teams to accelerate adoption of Genesys native AI and Experience Orchestration capabilities. AI & Experience Orchestration DirectorApplylocations: Virtual Office (United King

Future Works is seeking a Lead AI/Agent Architect to design an end‑to‑end agent system for a high‑value enterprise workflow.You will own the technical track, define the orchestrator, tool‑use architecture, and the human‑in‑the‑loop protocol, while ensuring security and auditable proces

Genesys is looking for a Director of Sales, AI and Experience Orchestration.

AI & Experience Orchestration Director to lead strategic engagements and accelerate the adoption of Genesys AI capabilities.

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu