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Job Title: Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £54,000 - £81,000 Location: Eastleigh and Reigate Closing Date for applications: 18th April Responsibilities Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Qualifications Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end to end data modelling experience Experience building batch and real time data integrations Hands on CI/CD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude Benefits Flexible Working - Smart Working across the UK with part time and job share options; minimum 35 days holiday (inc. bank holidays) with buying and selling of days Health - Dental insurance, Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being activities - Mindfulness Wealth - 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans Well being - Activities, mindfulness sessions, Sports and Social Club events Family - Maternity/pregnant parent/primary adopter entitlement of 16 weeks full pay and paternity/non pregnant parent/co adopter at 8 weeks full pay Partner - Life Assurance and Critical Illness cover Tech - Deals on gadgets including wearables, tablets and laptops Getting around - Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover Back to work - Return to work programme after maternity leave We are committed to diversity and inclusion. We are members of the Race at Work Charter, Women in Finance Charter, iCAN, GAIN and are a Disability Confident Leader. We welcome all candidates to apply.

Cookie Policy - Privacy Message Application Security Management (ASM) cookie s If you ignore the cookie banner or choose to decline To support our careers site and recruitment journey we use third party websites. When entering these websites you will be subject to the cookie policies of that website. Please familiarise yourself with these cookie policies and make choices based on your needs.Cookie duration depends on the cookie type: \_ga - Expires after 2 years (1st party) \_gat\_UA-nnnnnnn-nn gid - Expires after 1 day (1st party) \_ga\_nnnnnnnnnn - Expires after 2 years (1st party) Senior Platform Owner - Member Experience Hours: 35 hours per week Hybrid working Closing Date: You'll guide long lived cross functional teams working with autonomy and purpose across App, Portal and Identity capabilities, supported by the Society's modern engineering ecosystem, including automation first CI/CD pipelines, observability by default, decoupled architecture, cloud platforms, API and event streaming foundations. Working in partnership with Product Owners, Platform Leads, Engineers, Security, Architecture and Data teams, you'll own the multi year platform vision, define platform contracts and standards, drive resilience and accessibility, and continuously evolve the platform to meet the needs of members, brokers and colleagues. You'll role model our behaviours. Be Accountable, Be Curious, Be Collaborative, Be Brave . and foster a culture where teams can innovate safely, experiment, and deliver small, frequent improvements that compound into exceptional experiences.This is a true leadership opportunity: you'll manage platform budgets, align technology and business stakeholders, ensure world class identity and authentication journeys, champion secure by design practices, and nurture a healthy technology culture where talented people can thrive. If you're excited by the idea of shaping one of the most important platforms in the organisation. and building digital experiences that genuinely help people save, buy homes, and feel confident about their financial futures, we'd love to talk to you.Not just another building society. Not just another job.We're the fourth largest building society in the UK , and proudly mutual, owned by our members, not shareholders. That means every decision we make is about doing the right thing for our customers and colleagues.Our people say Skipton is a great place to work, and now it's officially recognised as the happiest place to live in Great Britain. Whatever your background or ambitions, we'll help you grow, thrive, and shape a better future. Why This Role Matters The Member Experience Platform sits at the very heart of Skipton's digital relationship with its members. powering the Mobile App, Member Portal, and Customer Identity capabilities that enable people to securely access, manage and enhance their financial lives. As we continue to build a modern mutual grounded in simplicity, trust and great digital experiences, this platform is one of the Society's most important strategic assets. We deliver value through small, safe, frequent changes, powered by a system designed for flow and quality. Your leadership will ensure our digital channels feel seamless, intuitive, resilient and personal, enabling journeys that finish more often and feel more human across Homes, Money and Membership. You'll shape how members interact with us every day and create the foundations for future innovation across authentication, personalisation, omni channel journeys and member value What's In It For You Skipton is committed to flexibility, balance, and wellbeing. Alongside hybrid working and a newly refurbished, collaborative head office, you'll enjoy: Annual discretionary bonus scheme 25 days annual leave + bank holidays, rising to 30 with service Holiday trading scheme Up to 10% employer pension contribution Colleague mortgage (conditions apply) Hybrid & electric car salary sacrifice scheme Private medical insurance 3 paid volunteering days per year Inclusive colleague networks (Carers, Pride Alliance, and more) Wellbeing benefits including cycle to work and discounted gym membership A strong commitment to training and development What You'll Be Doing You'll provide strategic leadership across the entire Member Experience Platform. setting a multi year vision that unifies our App, Portal and Identity capabilities into a coherent, stable and continuously improving ecosystem. You'll oversee sub platforms led by Platform Managers, ensuring clear platform contracts, versioned architectural boundaries, and consistent standards for performance, scalability, security, access management and resilience. Working closely with Engineering, Architecture, Security, Data and Product, you'll guide technology adoption, steward platform budgets, optimise resource allocation, and champion automation first and observability by default practices.You'll mentor cross functional teams, elevate craft and capability, and embed healthy platform governance, risk management, continuous improvement and incident/problem management. You'll act as a senior voice in shaping digital identity, device security, authentication journeys and friction free sign in experiences. Through Skipton's delivery mechanism, you'll ensure the right changes land safely, in small steps, and deliver meaningful improvements to our members every month. 1. Leadership in high performance digital delivery A track record of driving fast, safe flow, reducing lead times, increasing deployment frequency, and keeping change failure rates consistently low through automation first, observability led and decoupled delivery practices. 2. Obsession with building the right thing for members You work backwards from member needs, use insight and evidence to invent on their behalf, and shape world class App, Portal and Identity experiences that are simple, personal and intuitive. 3. Strategic platform ownership at scale Deep experience managing complex digital platforms, in a complex eco-system, setting multi year vision, shaping architecture, defining standards and ensuring the platform is secure, resilient, scalable and continuously improving. 4. Inspirational leadership & cross functional influence A skilled leader who can mentor Platform Leads, Product Owners and engineers, build strong partnerships across Architecture, Security, Risk, Product and Finance, and communicate complexity with clarity. 5. A values led, data driven mindset A role model for Skipton's behaviours - Accountable, Curious, Collaborative, Brave - making evidence led decisions, managing suppliers and budgets effectively, and creating a culture of continuous improvement and psychological safety. What You'll Bring You'll be a strategic platform leader with deep experience in managing complex digital platforms at scale, ideally spanning mobile, web and identity technologies. You bring a blend of strong architectural awareness, platform lifecycle management expertise, and the ability to translate business needs into a clear platform roadmap shaped by evidence and data. You excel at inspiring and developing teams, influencing senior stakeholders, and driving high standards around security, access control, resilience, automation, performance and user experience.You'll be comfortable leading within a product centred, agile, platform based organisation, balancing operational excellence with forward looking innovation. Strong communication, budgeting, supplier management and risk ownership come naturally to you, alongside the ability to mentor others and nurture a collaborative, psychologically safe engineering culture. Most importantly, you role model Skipton's behaviours and you're excited by the chance to shape the digital experiences of a modernising mutual

A leading insurance company in Eastleigh is seeking a Senior Data Engineer to build and support data products within a modern data platform. Responsibilities include optimizing data pipelines and integrating varied data sources. The ideal candidate will have strong Python and SQL skills, alongside experience with Databricks or Snowflake. This role offers flexible working options, a competitive salary, and a wide range of benefits, promoting diversity and inclusion in the workplace.

At Mission Underwriters, we provide the capital, issuing paper, and reinsurance access you need to launch your own Program Administrator (PA) business quickly and efficiently. We offer non-recourse capital for qualified underwriters, giving you a manageable risk profile with potential equity upside. By taking care of administrative complexities like compliance, risk management, accounting, and HR, we free you to focus on what you do best-underwriting and distribution. Our turnkey platform gets you into the market in just a few months, minimizing disruption to your key relationships. With access to our network of highly rated issuing carriers and reinsurance partners, you can secure coverage with less stress and uncertainty. Built from the ground up, our purpose-driven technology simplifies workflows, enhances responsiveness, and eliminates the burden of outdated legacy systems. What We Offer 401K, 401K Match Life and Disability Benefits 11 Paid Holidays Employee Discounts Employee Assistance Program Educational Assistance Program Employee Referral Program About the Role The Senior Data Engineer will play a key role in designing, implementing, and optimizing Mission's data infrastructure as part of our modern data platform initiative. This hands on engineering role will focus on building scalable data pipelines, enabling a centralized enterprise data warehouse, and supporting business reporting needs. The ideal candidate will collaborate across technology, operations, product, and analytics teams to create high quality, governed, and reusable data assets, while supporting a long term architecture aligned with Mission's growth. This role is highly technical and focused on execution and is ideal for a data engineer who thrives in fast paced environments and is passionate about data quality, performance, and scalability. What You'll Do Design and implement scalable data pipelines to ingest, transform, and store data from third party vendors and internal systems using APIs, files, and databases. Build and maintain a cloud based data warehouse solution in partnership with architects, ensuring clean, normalized, and performant data models. Establish and monitor reliable data ingestion processes across systems with varying grain and cadence, ensuring data quality and completeness. Collaborate with API and integration teams to develop secure, robust data exchange processes with external vendors and internal services. Set up and manage data connections from the warehouse to BI tools (e.g., Power BI, Looker, Tableau) to enable self service analytics and dashboarding. Document data flows, schemas, and definitions, and help drive data governance and standardization efforts across the organization. Implement data validation, cleansing, and enrichment processes to ensure high quality data for financial reporting and analytics. Ensure compliance with data standards, regulatory requirements (e.g., NAIC, SOX), and data security best practices. Provide technical leadership in data engineering best practices, including version control, CI/CD for data pipelines, testing, and observability. Build initial dashboards in BI tools. Give directions to data engineers to ensure that projects are completed on time and to a high standard. Required Qualifications 5+ years of experience in data engineering, data warehousing, or a related field with at least 1-2 years leading implementation projects. 3+ years of experience in the commercial insurance industry. Hands on experience with Azure data services. Strong SQL and performance tuning skills in Microsoft SQL Server environments. Experience designing data warehouses or data marts with a focus on dimensional modeling and analytics ready schemas. Fluent in a range of data ingestion: RESTful APIs, JSON/XML ingestion, flat files, message queues, and CDC patterns. Understanding of data governance, metadata management, and access control. Familiarity with version control (GitLab) and CI/CD pipelines for data workflows. Experience working with BI tools like Power BI, Looker, or Tableau, including building dashboards or semantic layers. Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience. Demonstrated ability to translate business needs into scalable data systems and design. Preferred Qualifications Experience with data cleanup, fuzzy matching, or AI driven normalization. Familiarity with Python, dbt, or Azure Functions is a plus. Strong communication skills and ability to work cross functionally with product, engineering, and analytics teams. Ability to travel up to 10% of the year. Knowledge, Skills and Abilities Deep understanding of data warehousing principles, dimensional modeling, and ETL/ELT architecture, with hands on experience building analytics ready structures in Azure SQL and SSMS. Understand core business concepts within the commercial property and casualty insurance industry to guide data modeling and transformation efforts. Proficient in developing scalable data pipelines using Azure Data Factory and SQL, with strong debugging and optimization skills. Skilled in integrating with diverse data sources, including REST APIs, files, and third party systems, and handling complex data ingestion across varying levels of granularity. Familiar with core Azure services and their role in secure, cloud native data engineering workflows. Able to connect and model data for downstream BI tools (Power BI, Tableau, Looker), supporting self service reporting and building initial dashboards when needed. Strong communicator and collaborator who can translate business needs into technical solutions, document data workflows, and mentor team members on best practices. Additional Information This is a remote position. Planned, in office activities may be required on occasion (typically 2 4 per year). You must live in the United States and be authorized to work in the United States without requirement of employment sponsorship/visa.

Programmer - Programming - London, United Kingdom Job Title Job Title Senior Gameplay Programmer Job Description Our mission at Duolingo is to develop the best education in the world and make it universally available. It's a big mission, and that's where you come in! At Duolingo, you'll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You'll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes - while doing work that's both fun and meaningful. Join our life changing mission to develop education for our half a billion (and growing!) learners around the world. About The Role Come join our Music team and help us build the future of music education. We are looking for a Senior gameplay programmer with Unity background to help us implement our new music course. You will help build the best possible user experience for our learners through high quality interactive lessons. You will Implement the new music course within the Duolingo app using embedded Unity. Productionize the existing prototype, turning it into robust, release ready code. Work embedded within the Duolingo app architecture to ensure seamless integration of Unity. Collaborate with designers and product partners to refine the look and feel, ensuring a high quality, gamified user experience. Proactively identify issues and opportunities to improve the learner experience. Engage in rapid prototyping to test new music mechanics and interaction models. Ensure technical mistakes or inconsistencies are fixed as quickly as possible. You have Strong experience with Unity development (C#), specifically for mobile platforms (iOS/Android). Background in the gaming industry with a portfolio demonstrating high quality game feel and polish. Sharp UX instincts and experience implementing complex UI/UX designs. Strong business sense, with proven experience working effectively with multi functional team members (e.g. engineers, product, and design). Thrives in a fast paced, data driven, team oriented environment. Strong interest in Duolingo and our mission. Exceptional candidates will have Experience embedding Unity as a library (UaaL) into native mobile applications. Background in music, music theory, or audio programming. Experience in web/mobile localization workflows and tools. Familiarity with mobile gaming, with an understanding of game mechanics.

Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for an innovative approach to investing in secondaries, co investments, and primary fund investments, as well as capital formation across commingled funds, evergreen vehicles and customized solutions. Our specialist investment capabilities span multiple strategies across private equity, infrastructure and real assets, and private credit. Through our collaborative and committed culture, we find new ways to solve complex problems together and deliver innovative investment opportunities across private markets. Pantheon currently manages approximately $82.3 billion in AUM across all its strategies, serving more than 750 institutional and 638 private wealth clients worldwide. Pantheon is in the process of building a cloud native, AI ready Data Platform based on the Databricks Lakehouse architecture, enabling analytics, operational use cases, and advanced ML/AI workloads. We require an experienced and passionate hands on Senior Data Engineer to design and implement new data pipelines for adaptation to business and/or technology changes. This role will be integral to the success of this program and establishing Pantheon as a data centric organisation. You will be working with a modern Azure tech stack and proven experience of ingesting and transforming data from a variety of internal and external systems is core to the role. You will be part of a small and highly skilled team, and you will need to be passionate about providing best in class solutions to our global user base. Key Responsibilities Design, build, and maintain scalable, secure, and high performance data pipelines on Azure, primarily using Azure Databricks, Azure Data Factory, and Azure Functions. Develop and optimise batch and streaming data processing solutions using PySpark and SQL to support analytics, reporting, and downstream data products. Implement robust data transformation layers using dbt, ensuring well structured, tested, and documented analytical models. Collaborate closely with business analysts, QA teams, and business stakeholders to translate data requirements into reliable technical solutions. Ensure data quality, reliability, and observability through automated testing, monitoring, logging, and alerting. Lead on performance tuning, cost optimisation, and capacity planning across Databricks and associated Azure services. Implement and maintain CI/CD pipelines using Azure DevOps, promoting best practices for version control, automated testing, and deployment. Enforce data governance, security, and compliance standards, including access controls, data lineage, and auditability. Contribute to architectural decisions and provide technical leadership, mentoring junior engineers and setting engineering standards. Produce clear technical documentation and contribute to knowledge sharing across the data engineering function. Knowledge & Experience Required Essential Technical Skills Python and PySpark for large-scale data processing. SQL (advanced querying, optimisation, and data modelling). Azure Data Factory (pipeline orchestration and integration). Azure DevOps (Git, CI/CD pipelines, release management). Lakehouse architecture (Databricks Unity Catalog, Delta Lake optimisation techniques such as Z ordering, liquid clustering). Data modelling (star schemas, data vault, or lakehouse aligned approaches). Data quality, testing frameworks, and monitoring/observability. Strong problem solving ability and a pragmatic, engineering led mindset. Experience in Agile SW development environment. Excellent communication skills, with the ability to explain complex technical concepts to both technical and non technical stakeholders. Leadership and mentoring capability, with a focus on raising engineering standards and best practices. Significant commercial experience (typically 5+ years) in data engineering roles, with demonstrable experience designing and operating production grade data platforms. Strong hands on experience with Azure Databricks, including cluster configuration, job orchestration, and performance optimisation. Proven experience building data pipelines with Databricks and Azure Data Factory; integrating with Azure native services (e.g. Data Lake Storage Gen2, Azure Functions). Advanced experience with Python for data engineering, including PySpark for distributed data processing. Strong SQL expertise, with experience designing and optimising complex analytical queries and data models. Practical experience using dbt in a production environment, including model design, testing, documentation, and deployment. Experience implementing CI/CD pipelines using Azure DevOps or equivalent tooling. Data as a Product mindset. AI / ML / GenAI Enablement Enable ML/AI workloads on the Databricks data platform. Collaborate with AI Product Team to deliver use cases. Enable RAG pipelines / vector storage patterns to support AI products. Desired Experience Financial services industry or private market experience. Development with coding agents (e.g., Anthropic Claude Code, OpenAI Codex, etc). This job description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. You may be required to perform other job-related duties as reasonably requested by your manager. Pantheon is an Equal Opportunities employer. We are committed to building a diverse and inclusive workforce so if you're excited about this role but your past experience doesn't perfectly align we'd still encourage you to apply. We are committed to ensuring that all candidates have an equal opportunity to participate in the recruitment process. If you require any reasonable adjustments to accommodate your needs, please use this space to describe the nature of the adjustments you require.

Senior Data Engineer Department: Technology Employment Type: Permanent Location: Any UK Office Hub (Bristol / London / Manchester / Swansea) Compensation: £60,000 - £75,000 / year Description Our Senior Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to clients' needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders. Your role at Made Tech As a Senior Data Engineer, you may play one or more roles according to our clients' needs. The role is very hands on and you'll support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team. At other points, you might play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account. You'll need to have a drive to deliver outcomes for users. You'll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria. Enthusiasm for learning and self-development Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies Gathering and meeting the requirements of both clients and users on a data project Strong experience in IaC and able to guide how one could deploy infrastructure into different environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. With an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines. Able to document and present an end-to-end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.) To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics. Experience in improving resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit, integration, data quality etc.) Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project. Agile practices such as Scrum, XP, and/or Kanban Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases Owning the cloud infrastructure underpinning data systems through a DevOps approach Agile practices such as Scrum, XP, and/or Kanban People skills such as mentoring, supportive team player and performing line management duties To be able to demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders Desirable experience Working at a technology consultancy Working with Docker and virtual environments as part of the development and CI/CD process. Working with senior stakeholders to gather requirements and keep them engaged with Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Job Benefits Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave + bank holidays! Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice. An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' of continuous UK residency. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let us know why.

ABOUT RATED PEOPLE At Rated People, we're proud to be the UK's leading online marketplace connecting homeowners with skilled local tradespeople. With more than 10,000 tradespeople across the country covering 200+ trades, we make it easy for homeowners to find trusted professionals - and for tradespeople to grow their reputation and business. We've been doing this for over 20 years, and 95% of work booked through our platform is rated 4 stars or higher. We're all about building trust, streamlining the process, and helping both sides get the job done right. OUR VALUES Energy: We bring passion, drive and positivity Engagement: We take ownership, we trust one another Execution: We make it happen Edge: We have courage and are decisive THE ROLE Our multiple Backend microservices hold all the necessary business logic for our business to function. We give a big emphasis in providing stable, consistent, and highly available services which provides a reliable experience to both our Homeowners and Trades businesses alike. This is achieved with Java Spring/Spring Boot microservices and Node based APIs for the front-end. We build out customer interfaces using React and React-Native. Looking forward, we plan to simplify these layers and extend the use of Typescript across front and backends. We have a of legacy systems in play which we are rebuilding, so this there can often be hidden complexities! As a Full Stack Developer you will be responsible for refining and investigating development work assigned to you, building knowledge of our user interfaces, systems and the business processes. You will be responsible for their adherence to standards, development management processes and reporting, and support as required. We work with AI tooling in the SFDC, to assist development, and also build AI based tools for customers using AI vendors APIs and multi-agent libraries. You will be a part of a dynamic Agile team working closely with others developers, Product Owners, designers where you will showcase your collaborative skills, as you contribute to standard SCRUM ceremonies while producing quality deliverables in a continuous integration and continuous delivery environment. OUR STACK BE - Java Spring/Spring Boot microservices, SingleStore DB, NodeJS, AWS Fargate S3 Load Balancers, Docker Testing - Unit tests, Integration and BDD functional tests. Apps - React Native Apps (iOS and Android) integrating with internal REST APIs Web - React, Express, Remix, Tailwind CSS, Storybook, Cloudflare workers integrating with internal REST APIs, Cloudflare D1 (data) and R2 (storage) tools RESPONSIBILITIES Create user facing solutions by developing, implementing, and maintaining React based components and interfaces. Developing the next phase of the systems developing migration targets to remove legacy systems and implement new features. Be a hands on leader making our product the best that it can be. Collaborate with people across the business and the product team, acting as an SME on the systems and processes. Working with the CTO, Head of Engineering, Lead Developers, lead and assist with the solution design, and architectural discussions. Create new functionality as well as troubleshoot development and production problems using application monitoring tools to assist you. Assist with out of hours Change or Emergency work if required. Advocating appropriate unit and BDD functional testing through a test-driven development (TDD) approach in the team. Understand the operational characteristics of code and related systems in production, designing sympathetic improvements which can be introduced, measured and iterated with as little disruption as possible. Using Log Management and Alerting systems develop Service Reliability Engineering processes and drive improvements to the full software stack and infrastructure. ABOUT YOU We're looking for someone who will always push for best practices, apt solution design, modern technologies and performance improvements. You will be eager to keep up with new technologies and continually update your technical knowledge and skills. We love agile and we would really like for you to have a similar experience of software development. We are a team of passionate, intelligent people who live and breathe our 4 ' E ' values (Energy, Engagement, Execution and Edge) where everybody is a culture driver and has the autonomy to shape our working environment to make Rated People a psychologically safe, fun and inclusive space for everyone. WHAT CAN WE OFFER YOU? We're proud to offer an environment perfect for creativity, fun and sharing ideas. We offer a competitive salary and a generous range of benefits: Hybrid working (2 days per week in our Shoreditch office) or Remote contracts 25 days' holiday (plus one day for every year of service, max 30 days) Strong and inclusive company culture we all shape and take ownership and pride in, including companywide events, surprise and delights, roundtables and culture clubs Private medical insurance (including mental health and virtual GP) Enhanced parental leave policy Cycle to work scheme Life assurance Travel loans

Principal Technology Architect - Microsoft Data & AI Platform Location: London, UK. Compensation: Competitive (including bonus). Role Overview We are seeking a highly experienced Principal Architect to lead the architecture, design, and delivery of a modern, scalable, and secure data and AI ecosystem within large, regulated enterprise environments. The role focuses on enabling data driven decision making, advanced analytics, and AI led insights at scale while also providing broader practice responsibilities such as solutioning during pre sales, thought leadership, and mentoring senior architects across a global delivery organisation. Key Responsibilities Own the end to end architecture and delivery of strategic data and AI platform programmes, from early solution shaping through implementation. Collaborate with business stakeholders, enterprise architects, delivery leaders, and partners to define and execute the enterprise data and AI strategy. Architect and guide implementation using the Microsoft Azure Data & AI stack, covering analytics, integration, governance, and data management. Define reference architectures, data models, and integration patterns across enterprise domains (operational, analytical, workforce, HR). Lead AI architecture and AI engineering, enabling predictive, operational, and decision support use cases while embedding responsible AI and governance. Establish and govern data management, quality, security, and compliance frameworks aligned with regulatory and privacy requirements. Lead solutioning and architecture during pre sales, including RFP responses, target and transition architectures, transformation roadmaps, and client workshops. Provide hands on architectural leadership within a global delivery model, ensuring consistency, quality, and alignment across geographically distributed teams. Mentor and develop senior architects and technical leaders, contributing to design authority and architectural best practice. Required Qualifications Multiple years' experience in data, analytics, and platform architecture, delivering large scale enterprise transformations. Strong hands on experience with Microsoft Azure data technologies. Strong experience in AI architecture and AI engineering, including end to end AI/ML solution design covering data pipelines, feature engineering, model lifecycle, deployment, and MLOps. Experience delivering production grade AI solutions in regulated or complex environments, with awareness of responsible AI, governance, and explainability. Deep knowledge of modern data and AI architectures, including lakehouse, data mesh, cloud native integration, and AI enabled analytics patterns. Proven experience leading or supporting architecture and solution design during pre sales and large bids. Excellent communication skills, with the ability to influence senior technical and non technical stakeholders. Demonstrated ability to lead, mentor, and develop globally distributed, cross functional teams. Preferred Experience Experience in HRMS and workforce data transformation, ideally involving Oracle HCM or similar platforms. Familiarity with industry data standards, interoperability patterns, and enterprise governance frameworks. Experience operating in multi vendor and multi cloud environments. Overview Infosys is a global leader in next generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation and empower businesses with agile digital at scale. Our culture fosters learning and innovation. All aspects of employment at Infosys are based on merit, competence, and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

Senior Manager, AI & Data Solution Architect, TC UKI Location: Manchester Other locations: Primary Location Only Requisition ID: Job Specification Grade: Senior Manager About the Role We are seeking an experienced AI & Data Solution Architect to join our AI and Data consulting practice and lead the design and implementation of cutting-edge data and AI solutions for our enterprise clients. This role requires a strategic thinker who can bridge business requirements with technical execution, delivering scalable, cloud-native architectures that drive measurable business value. Design and architect end-to-end AI and data solutions on Azure, AWS or Google GCS leveraging modern data and AI platforms such as Snowflake and Databricks Develop comprehensive architecture blueprints including data pipeline, analytics, and AI/ML capabilities Define data and AI governance frameworks, security protocols, and compliance standards aligned with industry regulations Lead technical discovery sessions with clients to understand business challenges and translate them into architectural requirements Serve as the trusted technical advisor to senior IT and/or business stakeholders across consumer products, retail, health, life sciences or energy industries Present complex technical concepts and solution roadmaps to both technical and non-technical audiences Lead architecture review boards and provide technical governance throughout project lifecycles Oversee the implementation of data lakes, data warehouses, and lakehouse architectures Ensure solutions are optimized for performance, cost-efficiency, and scalability Define integration patterns between cloud platforms, third-party applications, and legacy systems Actively contribute to practice development as a technical thought leader in AI and Data topics Understanding of building and integrating Agentic AI solutions into existing cloud platforms Mentor junior architects and technical teams on best practices and emerging technologies Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field One or more Advanced level AI and Data architecture certifications in Snowflake, Databricks, Microsoft Azure, AWS or GCP Proven track record of architecting enterprise-scale data, analytics or ML solutions for organisations in at least one of the following sectors: consumer products, retail, health, energy or life sciences Able to lead design for end to end AI and data solutions across multiple cloud platforms Able to define governance frameworks, security protocols and compliance standards Operates as a trusted advisor to IT and senior stakeholders Deep expertise in at least one of the following data and AI services: Microsoft Azure, AWS , Google GCP Hands on experience with Microsoft Fabric, Snowflake and/or Databricks TOGAF experience Soft Skills Continuous learning mindset to stay current with emerging trends in AI, machine learning, data engineering and cloud technologies Exceptional communication and presentation skills with ability to influence senior stakeholders Strong analytical and problem-solving capabilities Ability to manage multiple client engagements simultaneously Collaborative mindset with experience working in cross-functional teams Coaching mindset to support the development of junior team members Preferred Criteria Understanding of AI Architecture front end, UI/UX, and how AI is consumed Experience preparing technical solutions and architectures as part of bid responses and proposals Experience of identifying efficiency opportunities such as solution accelerators, reusable frameworks, and IP development, Agentic automation Deep understanding of industry-specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry Experience with domain-specific use cases such as commercial, supply chain, finance or operations

Location London OR Newbury + Hybrid Salary Excellent basic salary plus bonus and Vodafone benefits Working Hours Full time 37.5 hours per week - Monday to Friday Duration 12 Months Fixed Term Contract Hybrid Working Overview Our hybrid working approach allows our people to work both in the office and at home, providing the flexibility and resources you need to succeed in your role. You are expected to come into the office 2-3 days per week, for at least 8 days per month, and collaborate with your line manager to understand expectations. What You'll Do This role is responsible for ensuring the quality and reliability of our products. As a customer advocate, this individual is responsible for reporting on, identifying, triaging, and facilitating the resolution of bugs in collaboration with engineering teams. The ideal candidate is passionate about improving user experience, diligent in reporting issues, and effective in communicating updates to both technical and leadership teams. Delivery of Marketing Campaigns - Accountable for delivering complex Unica campaigns and journeys, following established standards and patterns. Technical Standards - Drives technical decisions and agreed ways of working within Unica, coaching and mentoring other developers to achieve better outcomes and consistency. Audience Selection & Campaign Logic - Builds and maintains audience selection, segmentation, and offer eligibility logic across assigned campaigns and journeys. Cross-Channel Consistency - Supports cross-channel consistency in Unica campaign logic and configuration, helping ensure a seamless, compliant customer experience across outbound touchpoints. Platform Performance & Resilience - Monitors and helps optimise Unica platform performance, scalability, and reliability, identifying issues early and supporting defect reduction and operational stability. Stakeholder & Cross-Chapter Collaboration - Works closely with product, marketing and technology stakeholders to resolve dependencies, align delivery, and influence others to drive better outcomes for customers. Continuous Improvement & Ways of Working - Supports technical quality assurance and UAT activities, helping ensure campaigns are delivered with high success rates and minimal rework. Platform Evolution & Change Delivery - Contributes to continuous improvement initiatives, supporting enhancements to tooling, ways of working, and Unica platform evolution aligned to transformation goals. Who You Are Strong experience in campaign development and technical configuration within large-scale environments. Proven expertise in platforms such as Pega, Unica and/or related campaign management tools. Familiarity with agile methodologies and backlog management. Understanding of compliance, governance, and data integrity standards. Excellent problem-solving and troubleshooting skills. Good senior stakeholder engagement and communication capability. What We Offer Great pay, bonuses, up to 28 days off plus bank holidays, and paid time for charity work. Personalise benefits for you and your family, including discounts, vouchers, a pension plan and more. We provide learning tools and top-notch parental leave policies. Accessibility & Background Checks We are regulated by the Financial Conduct Authority and all offers of employment for this role are subject to background checks, including criminal (DBS) and financial checks to meet regulatory standards. If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, please refer to the Accessibility section of our Careers website. Equal Opportunity Employer We are passionate about Inclusion for All and create a workplace where everyone can thrive. We encourage candidates of all backgrounds to apply.

As the Senior Data Platform Engineer in the Cyber Data Platform team, you will play a key role in building and maintaining a robust data platform that enables users to develop advanced analytics, machine learning, and GenAI solutions to strengthen our security defences. You will collaborate closely with cross functional data teams to ensure the platform is scalable, secure, and aligned with cybersecurity goals. Also, you will contribute to the data platform architecture and mentor junior team members to deliver high quality data services. Responsibilities and Qualifications Design, build and manage realtime, near realtime and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities. Implement and manage automated frameworks for integrating data from various security sources into the security data lake, and for moving data between raw, trusted and curated data layers. Produce high quality code, conduct thorough peer reviews and provide constructive feedback. Implement automations and DevOps practices to streamline deployment, configuration and management of data platform components. Effectively communicate technical concepts and solutions to individuals with varying technical expertise across departments. Solid experience with Python and proficiency in SQL. Experience building data platforms on cloud services such as Databricks on Azure or GCP BigQuery, and big data technologies like Spark or Flink. Solid grasp of Kubernetes, CI/CD and Terraform. Working knowledge of ETL and ELT frameworks and orchestration tools such as Airflow and dbt. Ability to provide clear input, guide and empower junior team members to achieve desired outcomes. Familiarity with machine learning and AI tools is desirable. Knowledge of cybersecurity principles and practices. Equal Opportunity We're proud to be an accredited Disability Confident Leader, where everyone's welcome. We commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.

Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. What you'll do at Synthesia As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting-edge challenges in the Generative AI space, with a focus on creating high-quality, expressive and real-time synthetic voices. Within the team you'll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 60,000 businesses. If you are an expert in ML, LLMs, speech generation, conversational models , this is your chance to make a global impact. You will join our Audio Post-Training Team , which works on generative speech and voice synthesis , ensuring our in-house voice models reach production-level quality, speed, and robustness. Typical projects include: Develop and evaluate streaming and speech-to-speech systems, enabling low-latency, interactive voice synthesis. Adapt models for new conditioning inputs (emotion, speed, prosody, speaker control, etc.). Implement post-training optimization techniques (quantization, pruning, distillation) to improve efficiency and latency in real-time speech generation. Integrate and test novel architectures, such as neural codecs, diffusion, or flow-matching models, to enhance realism and responsiveness. Contribute to defining new evaluation metrics for conversational speech, including latency-aware and online MOS prediction systems. Stay updated with the latest research in audio diffusion, autoregressive models, neural codecs, and multimodal LLMs. Apply DPO (Direct Preference Optimization) and distillation to fine-tune large-scale speech models. What we're looking for: Strong understanding of generative modeling, ideally applied to sequential or multimodal data. Hands-on experience with large language models (LLMs) or similar transformer-based architectures. High proficiency in PyTorch, including experience with distributed training and model optimization. Solid grasp of time-series modeling and tokenization, preferably in the context of audio or speech. Demonstrated ability to prototype quickly, test hypotheses, and iterate efficiently. Proven experience in training deep learning models end-to-end, from data preparation to evaluation. Strong general software engineering skills, enabling contributions to a large, shared research infrastructure. Nice to have experience: Experience with real-time or streaming architectures is a big plus. Familiarity with state-of-the-art architectures in audio and speech generation (e.g., diffusion models, neural codecs, flow-matching models, autoregressive decoders). Experience with speech-to-speech or text-to-speech (TTS) systems. Evidence of original research contributions, such as publications or open-source work in top-tier venues (e.g., ICASSP, Interspeech, NeurIPS, ICML).

About us At Xelix, we work with some of the world's largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate - moving from manual processes to automated, intelligent workflows. Xelix is a fast paced scale-up - things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you'll grow, be challenged and help shape the future of Xelix. If you're excited about building something special with us, we'd love to hear from you. About the role We are hiring an AI Engineer to join our growing AI Engineering team. You'll design and build production AI systems - combining machine learning, large language models, and strong engineering - to solve real problems across documents, email, and financial data. We focus on building systems that work reliably in production, not just prototypes. We use modern AI tools extensively in our workflow, enabling engineers to operate at a higher level - focusing on system design, product thinking, and solving complex problems. What you'll be doing AI Systems & Agents: design and build production AI systems - including agent based workflows, tool use, and multi step reasoning. Model Development & Adaptation: develop and improve models across text, vision, and structured data, including fine tuning and hybrid ML + LLM approaches. LLM Platform Work: work with hosted and self hosted models, contributing to decisions around model selection, performance, and cost. Production Engineering: write clean, maintainable Python and contribute to scalable, observable systems. Evaluation & Iteration: design evals, measure performance rigorously, and improve systems using real world feedback. AI Assisted Development: use modern AI coding tools to move faster while maintaining high standards. Collaboration: work closely with product and engineering teams to deliver high impact features. What you'll bring Experience: 2-5 years building and shipping ML or AI powered systems into production. Strong Engineering Skills: clean, testable Python; solid software design; experience working in production environments. AI/ML Breadth: experience with either traditional ML (e.g. gradient boosting) and/or LLM systems (prompting, tool use, evals, agents). Systems Thinking: ability to reason about trade offs (accuracy, latency, cost, reliability) and design accordingly. Data Skills: SQL, pandas, and experience working with messy real world data. AI Native Workflow: comfortable using AI assisted coding tools effectively. Curiosity & Ownership: proactive in exploring new approaches and improving existing systems. Collaboration: strong cross functional working style. What we offer in return Competitive salary of £65,000 to £75,000 depending on experience ️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days Hybrid working with two days a week from our dog friendly Hoxton office On site gym and cycle to work scheme ️ Employee discount at over 100 retailers Comprehensive private medical & dental cover with Vitality Enhanced parental leave pay Learning & development culture - £1,000 personal annual budget We've carbon neutral and are working towards ambitious carbon reduction goals Lots of team socials & activities ️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with if required and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process Introductory Call - A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview - A 30-45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation - A role relevant exercise to demonstrate your skills and approach. Final On site Interview - An in person meeting with our senior leadership team and co founders at our office. We strive to make the process clear, efficient, and respectful of your time.

Lead Technical Success Specialist - CCaaSApplylocations: United Kingdom - Londontime type: Full timeposted on: Posted Todayjob requisition id: 113151-JOBSprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale - across every customer touchpoint.By combining human instinct with the speed and efficiency of AI, Sprinklr helps brands earn trust and loyalty through personalized, seamless, and efficient customer interactions. Sprinklr's unified platform provides powerful solutions for every customer-facing team - spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management - enabling enterprises to unify data, break down silos, and act on real-time insights.Today, 1,900+ enterprises and 60% of the Fortune 100 rely on Sprinklr to help them deliver consistent, trusted customer experiences worldwide. Job Description The Senior Technical Success Specialist is a senior, customer-facing expert within Sprinklr's Customer Organization, responsible for maximizing platform value for our most strategic accounts. This role combines deep technical acumen with the ability to audit usage, surface blockers, and drive alignment across customer and internal teams. Success Architects are value translators and solution advisors-articulating what great platform usage looks like, identifying gaps, and holding stakeholders accountable to close them. Focused on either Core (Marketing, Social, Ads, Insights) or Service (Care, Contact Center) domains (), this role is critical to ensuring Sprinklr is adopted at scale, configured for resilience, and delivering measurable business outcomes. What You'll Do Note : Each Senior Technical Success Specialist specializes in either Core (Marketing, Social, Ads, Insights) or Service (Care, Contact Center). All activities below apply to both tracks but will be executed within the Architect's assigned domain. Platform Health & Configuration Strategy Conduct comprehensive configuration audits-reviewing tagging frameworks, governance models, automation rules, permissions, routing, and taxonomy alignment. Deliver structured health check readouts and platform scorecards to customer stakeholders, paired with prioritized recommendations for improvement. Lead platform re-architecture efforts where needed to optimize scalability, usability, and performance. Integration Architecture & Data Flow Understand integrations with adjacent systems (CRM, DAM, WFM, Telephony, Analytics, Ad Platforms, DMPs, etc.) and identify failure points, performance issues, or architectural bottlenecks that need to be addressed. Facilitate technical workshops to align Sprinklr capabilities with broader enterprise system design and data strategies. AI/Automation Optimization Review and tune AI capabilities-intent libraries, NLP accuracy, Smart Response suggestions, automation rules, bot flows, and classifiers-based on customer-specific use cases. For Core: Tune AI-driven campaign tagging, content classifiers, sentiment analysis, and automated publishing logic. For Service: Optimize agent assist models, routing configurations, auto-responses, and self-service flows to improve CSAT, AHT, and containment. Workflow & KPI Rationalization Conduct workflow audits to identify redundant processes, manual inefficiencies, and misaligned configurations. For Core: Rationalize campaign setup, publishing governance, brand taxonomy, and listening classification flows. For Service: Audit case creation logic, escalation workflows, queue routing, SLA logic, and knowledge management flow. Ensure KPIs are accurately tracked and reflected through clean data models, dashboards, and reporting logic. Risk Mitigation & Incident Triage Serve as a go-to escalation resource for chronic or high-impact technical issues; lead structured root cause analyses and implement prevention strategies. Collaborate with Support & Engineering to isolate issues, create reproducibility, and advise on fixes or workarounds. Establish and document repeatable diagnostic frameworks to reduce future friction and improve MTTD/MTTR. Governance, Security & Compliance Advise on access controls, audit logging, change management processes, data segregation, and compliance adherence in partnership with Sprinklr Engineering teams. Engage with internal and external SMEs to review and continuously improve Sprinklr's compliance with frameworks like ADA, GDPR, HIPAA, etc. Internal Collaboration & Reusability Act as a technical center of excellence within Success-partnering with TSMs, Product, and Engineering teams to scale architectural standards across accounts. Create templates, playbooks, and reusable assets (e.g., audit frameworks, AI tuning guides, integration blueprints) to empower broader Success teams. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent work experience. 8+ years in technical consulting, solution architecture, technical account management, or platform engineering for enterprise SaaS. Deep experience with at least one major product domain: Core : Campaign orchestration, paid social management, content tagging, listening taxonomy, marketing analytics. Service : Contact center configuration, AI-based routing, case management, service automation, customer care analytics. Hands-on knowledge of enterprise integrations, REST APIs, event architecture, webhooks, and authentication protocols. Familiarity with AI/ML-powered systems-natural language processing, classification models, retraining, tuning workflows. Strong experience facilitating technical design sessions, architecture reviews, and platform readouts to senior stakeholders. Ability to document solution design using diagrams and architecture maps (e.g., Lucidchart, Visio, Miro). What Sets You Apart Direct experience implementing or optimizing Sprinklr deployments-across Core or Service products. Familiarity with enterprise-grade platforms such as Salesforce (Sales/Service Cloud), Adobe Experience Cloud, NICE, Genesys, Zendesk, or HubSpot. Prior experience managing platform technical debt and guiding long-term architecture evolution across brands or geographies. Strong understanding of enterprise security, data privacy, and accessibility compliance frameworks. Passion for digging deep into the "how" of product configuration-and making complex systems simpler, smarter, and safer. We focus on our mission : Sprinklr was founded in 2009 to solve a big problem: growing enterprise complexity that separated brands from their customers. Our vision was clear: to unify fragmented teams, tools and data - helping large organizations build deeper, more meaningful connections with the people they serve. Today, Sprinklr has a unified, AI-native platform for four product suites: Sprinklr Service, Sprinklr Social, Sprinklr Marketing, and Sprinklr Insights. Sprinklr is here to do three things: Lead a new category of enterprise software that we call Unified-CXM. Empower companies to deliver next generation, unified engagement journeys that reimagine the customer experience. Create a culture of customer obsession, with trust, teamwork, and accountability. We believe in our product : Customers who value exceptional customer experiences have what they need on our single unified platform, built with an operating system approach on a single codebase. That means that everything - and everyone - can work together to service, respond, sell, and market to customers on the channels they prefer. While Unified Customer Experience Management (Unified-CXM) as a category is just getting started, we are well on our way to creating a no-compromise, unified approach to better customer experiences for the world's leading enterprise brands. We invest in our people : We offer a comprehensive suite of benefits designed to help each member of our team thrive. Sprinklr believes that you should be able to get the type of care you need for your personal well-being when you need it. We offer you and your family voluntary healthcare coverage in countries where applicable. We believe it is important to take time off - it is essential for your mental and physical wellbeing. We provide Sprinklrites with paid time off to recharge and spend time with loved ones. We want to grow our talent with purpose. Our open Mentoring Program is designed to create meaningful connections that support growth and amplify our focus.To learn more about employee benefits by region, click here.To learn more about all-things-Sprinklr, visit our candidate resource hub here. EEO - Our philosophy : Our goal is to ensure every employee feels like they belong and are operating in a collaborative environment. We fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we're more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and complies with all applicable federal, state, and local fair employment practices laws. We are committed to equal employment opportunity regardless of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable law. Reasonable accommodations are available upon request during the interview process. To request an accommodation, please work directly with your recruitment coordinator or recruiter. Warning about Recruiting Scams: Please be vigilant for recruiting scams impersonating Sprinklr. Sprinklr will never ask you for money, to pay for equipment . click apply for full job details

Cloud Operations Manager - Cheltenham (3 days office based) About Finova Finova is the UK's largest financial services technology provider, supporting one in every five mortgages nationwide. Our agile, cloud-native solutions enable over 60 banks, building societies, specialist lenders, equity release providers and a network of 2,400+ brokers to stay ahead in a competitive market. Built on open architecture and backed by deep industry expertise, our platform is designed to scale. Each year, we process over £50 billion in loans, manage nearly £50 billion in savings, and support the digital servicing of more than 650,000 UK borrower accounts. Be part of a team that's driving innovation, enabling growth and shaping the future of UK lending. For Lenders Finova offers a flexible, modular technology suite designed to help lenders move faster, scale efficiently and deliver standout digital experiences. Financial Institutions use Finova to launch products faster, process applications up to 50% more efficiently and reduce operational costs - all while staying fully compliant in a fast-moving market. About the Role: As the Cloud Operations Manager, you will be responsible for the day-to-day operational health, stability, and continuous improvement of the cloud-hosted environments for multiple clients within our product suites. You will bridge the gap between high-level cloud strategy and technical execution, ensuring that our production environments are resilient, secure, and performant. Acting as the primary authority for operational delivery within your remit, you will lead a team of Cloud Operations Engineers. You will maintain high service availability while driving modern practices such as automation, toil reduction, and proactive resilience testing. A core focus of this role is leadership: providing daily mentorship, administrative oversight, and clear career pathways for your team. You will hold responsibility for operational gatekeeping and readiness, directly influencing disaster recovery drills, security remediation, and the seamless transition of new features into stable production services. About you: Technical Foundation: Deep experience in managing high-availability production environments (AWS or Azure). You are a technically grounded professional with a passion for operational stability. Leadership Aptitude: Proven ability to mentor junior peers, lead technical projects, or act as a 'sounding board' for complex engineering challenges. (This role suits an experienced manager or a Senior Cloud Engineer ready for management). Resilience Mindset: A strong drive to replace manual bottlenecks with scalable, code-based solutions and an understanding of SRE principles. Event Coordination: Exceptional organizational skills with the confidence to facilitate cross-team events like disaster recovery simulations, pen tests, and post-incident retrospectives. Process & Compliance: Familiarity with ITIL and working in ISO-aligned environments. Detail-oriented approach to assessing vulnerabilities and maintaining industry standards. Communication Skills: Ability to translate technical metrics into clear availability and performance updates for engineering teams, senior leadership, external clients, and third-party partners. Collaborative Approach: Eager to partner with the Head of Cloud Ops, Platform teams, and Finance to build a high-performing, cost-effective engineering culture. What will you be doing? Operational Excellence & Service Management: Manage day-to-day capacity, priorities, and workloads to consistently meet availability and performance SLAs. Embed ITIL-aligned service management practices (incident, problem, and change processes) to drive continuous improvement. Team Leadership & Development: Own the capability and growth of your team through formal line management, coaching, and career development. Maintain a high-quality technical wiki and skills matrix to eliminate silos. Automation & Toil Reduction: Eliminate operational waste by identifying repetitive manual tasks and directing Senior Engineers to prioritize automation and self-healing infrastructure. Operational Gatekeeping: Conduct readiness checks on new releases to ensure they meet strict standards for monitoring, documentation, and long-term supportability. Resilience & Security: Facilitate regular Game Days, disaster recovery drills, and coordinate third-party penetration testing and remediation. Lead blameless post-mortems after significant incidents. Escalation & On-Call Management: Act as a senior escalation point for platform/application issues. Manage (and participate in/provide cover for) the out-of-hours on-call rotation for P1/P2 incidents and deployments. Compliance & Audit: Feed into the departmental risk register and coordinate evidence, controls, and documentation required for regulatory and customer audits (e.g., ISO 27001/ISO 9001). FinOps & Stakeholder Collaboration: Act as the primary point of contact for internal/external queries. Collaborate with FinOps/Finance to improve cost transparency, tagging discipline, and resource optimization. What We Offer: Hybrid working We operate on a hybrid model that is primarily office based, requiring three days in the office each week, with the flexibility to work remotely for the remainder. Private medical insurance Comprehensive health cover, with the option to add your family to your plan, because your well-being matters to us. Life assurance & income protection We provide life assurance and income protection to give you peace of mind for the future. Family friendly policies Our enhanced family-friendly policy goes beyond maternity and paternity leave, offering paid time off for when plans change or alternative paths to parenthood are needed. Work from anywhere Some thrive in the office, others at home - and many do best with choice. With approval, Finova employees can work abroad for up to 4 weeks each year. Flexible holiday package Enjoy 25 days paid holiday allowance, plus all public holidays. And, you can rebook any public holidays for a day that aligns with your personal beliefs or celebration calendar. We also offer holiday trading allowing you to purchase or sell your holiday allowance. Company pension scheme With salary exchange, you save on tax and can build a secure future. Employee assistance programme We understand that mental health is just as important as physical health. Access to a 24/7 confidential counselling helpline ensures you have support when you need it. Electric car scheme Get a brand-new electric vehicle with salary sacrifice as a benefit, paid for through your gross monthly pay, saving on Income Tax and National Insurance. Health cash plan Our Health Cash Plan empowers you to prioritise your wellbeing by providing effortless reimbursement for everyday healthcare costs, from dental and optical visits to physiotherapy. Gym discounts Achieve your fitness goals for less with GymFlex, which offers significant savings on annual memberships at over 3,000 gyms and leisure centres nationwide. Perks that matter We fuel your day with a fully stocked pantry of fresh fruit and snacks and keep the team spirit high with weekly socials and events. Equal Opportunity Statement We value diversity and are committed to creating an inclusive environment for all employees. If you're passionate about this role but don't meet all the criteria, please reach out, we'd love to discuss how your skills and experiences align with our needs.

corporate_fare Google place London, UK Apply Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 8 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 8 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 8 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialisation in another ML field. Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 8 years of experience in a technical leadership role leading project teams and setting technical direction. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Forward Deployed Developer (FDE), you will be at the forefront of applying Google's Generative AI to solve real-world issues for customers. You will act as a specialized software engineer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our Customer Engagement Suite (CES) platform. You will bridge the gap between core product developing teams and customer needs, directly accelerating customer success and shaping the future of AI products. The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment. Responsibilities Partner directly with customers to understand their business issues while designing, co-developing, debugging, and deploying custom conversational AI agents and solutions to accelerate their time to value. Systematize insights from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices for organisation-wide use. Act as a problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues. Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. 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