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Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. Team 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Network squad builds the forecasting engine that powers every operational decision in the business. Demand forecasts drive shift release in sortation. Expansion models determine where the network grows. Parcel intelligence feeds route planning and vehicle loading. When the squad ships a better model, the impact multiplies across five consuming squads, Finance, and ultimately Relay's cost per parcel. The squad is growing from four people to ten: Data Scientists, Analysts, and a Software Engineer, each contributing to a system that spans demand forecasting, expansion modelling, parcel dimensions, sortation predictions, and demand management. That system has dependencies on Sortation, Middle Mile, Last Mile, Routing, and Commercial - plus Finance, who extend the operational forecasts into longer-range financial projections. It also supports four embedded analysts sitting in other squads across the business. As Programme Manager for the Network squad, you coordinate the delivery of this system. The role involves taking the squad's roadmap and turning it into a structured programme - tracking commitments, managing cross-squad dependencies, removing blockers, and keeping stakeholders informed. The specifics of the programme will develop as you ramp up and learn how the squad and its consuming teams work together. The squad lead sets technical direction and manages people. You work alongside them to keep the programme on track, supported by a team that values coordination and wants to deliver well. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists. The Network squad sits within this team and serves every operational squad in the business. You will work with the squad lead, the Data Scientists and analysts in the squad, and the leads of the five consuming squads. What You'll Do Coordinate the delivery programme for the Network squad: roadmap tracking, sprint management, cross-squad coordination, and dependency management across a 10-person team Manage dependencies with five consuming squads (Sortation, Middle Mile, Last Mile, Routing, Commercial) and Finance, ensuring that what Network delivers matches what those teams need and when they need it Run the squad's delivery cadence: cycle planning, triage, standups, retros, and cross-functional syncs Track commitments and surface risks early - identifying which initiatives are on track, which are slipping, and what needs to change Remove blockers that sit outside the squad: engineering dependencies, data access, stakeholder alignment, prioritisation conflicts with other squads Coordinate the work of four embedded analysts in other squads (Routing, Sortation, Middle Mile, and one TBC), ensuring alignment with Network's priorities Keep stakeholders informed with regular updates on what's shipped, what's in progress, and what's changed Support the squad lead by taking on operational coordination, freeing them to focus on technical direction, model quality, and strategic relationships Who Will Thrive in This Role? You have at least 5 years of experience in programme management, delivery management, or a similar coordination role, ideally in a technical or data-heavy environment. You have experience managing multiple workstreams. You have experience working in technical environments even if you're not a data scientist yourself. You can follow a conversation about model accuracy, forecast horizons, and pipeline reliability enough to know when something is blocked, behind, or being under-scoped. The squad will help you build domain knowledge as you ramp up. You have experience tracking commitments and following up when things stall. You bring structure to how teams track and deliver their work. You have experience coordinating across teams without direct authority - helping squads understand what's expected and when. You have experience communicating with stakeholders at different levels - giving a squad lead a quick update on a dependency, giving senior leadership a picture of the programme's health, and giving a Data Scientist an answer on when their work will be prioritised. You have experience managing dependencies and how work connects across teams. You plan for how one squad's timeline affects another's. Experience in logistics, data platforms, or forecasting environments is a plus, but what matters more is the ability to learn a complex technical domain quickly and manage a programme within it effectively. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

About easyJet We are easyJet - a FTSE 100 listed, multi billion pound low cost airline that serves tens of millions of customers each year. We fly across 1,207 routes in 38 European countries and employ more than 18,000 colleagues. Our mission is to make low cost travel easy, delivering a network of reliable flights, competitive fares and friendly service. Position Overview Senior Data Scientist (ID 16975) We are looking for a senior data science professional who can own high impact projects from concept through deployment and monitoring. The role requires strong stakeholder engagement, technical depth and the ability to translate complex analysis into clear business outcomes. The Team The Data Science team sits at the centre of smarter decision making across the business, partnering with operations, technology and commercial teams to solve complex challenges and enhance customer experience. Key Responsibilities Lead end to end delivery of data science projects, from problem definition and modelling to production implementation and monitoring. Analyse complex, multi source datasets to answer strategic business questions and uncover improvement opportunities. Develop, validate and deploy predictive, simulation and optimisation models to support business performance. Translate technical findings into clear, actionable recommendations for both technical and non technical audiences. Collaborate with cross functional teams in a product led environment to support operational and technology transformation initiatives. Mentor junior data scientists, providing coaching, technical guidance and knowledge sharing. Contribute to best practice development and strengthen data science capability across the organisation. Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application. Qualifications Degree or MSc in Statistics, Mathematics, Computer Science, Engineering or a related scientific discipline. Significant commercial experience in data science roles with demonstrable progression. Strong technical knowledge in programming, machine learning, data preparation, visualisation and predictive analytics. Experience with optimisation, simulation or other advanced analytical techniques. Delivered data science solutions within operational, logistics, manufacturing or similarly complex business environments. Proven ability to independently manage projects, prioritise competing demands and deliver results in fast paced environments. Excellent stakeholder management and communication skills, confident presenting technical concepts to non technical audiences. Experience working alongside Product Owners, Software Engineers and cross functional teams. Strong commercial awareness and a pragmatic approach to solving business problems. Passion for mentoring, collaboration and building analytical capability within teams. Benefits Up to 20% maximum bonus. Private Medical Insurance (PMI). 7% pension contributions. Excellent staff travel benefits. 25 days of annual leave plus bank holidays. Annual credit towards an easyJet holiday. Various flexible benefits and extras. Reasonable Adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.

Job Description Job Description Role: Technology, Strategy & Advisory, Enterprise Architect Consultant Industry: Financial Services, Comms, Media & Telco, Health & Public Services Location: London, Manchester, Edinburgh Mobility: Up to 100% Career Level: Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team Do you enjoy using innovation, and the latest technologies to solve challenges and realise business goals? Do you enjoy working at the intersection of business and technology, where you're engaging with senior clients, engineers and architects on a daily basis? Are you a critical thinker that is keen to continue exploring the untouched capabilities of technologies such as Cloud, Big Data, AI and Robotics, and how they can be architected into client's landscapes to help them achieve their strategic goals? Joining the team means becoming part of a community of Enterprise Architects that serve Accenture's clients with the best and brightest insights regarding business and technology architecture. Our mission is to drive industry and enterprise re invention, powered by Technology and Data. Our values include challenging our clients' norms, building trusted relationships, and embracing diversity as a source of creativity and inspiration. We collaborate closely with experts globally to bring the best to our clients every day and stay relevant to their changing needs. Our teams are changing businesses every day using deep industry insights, technology knowledge and innovative ideas. Positioned at the intersection of business, technology and industry, we devise creative new strategies and target architectures, based on trends, insights and data. With an eye for competitive advantage, digital disruption, operating models, and the future workforce, we take on the challenge of designing and implementing transformative business solutions, using the technology to drive business advantage and create 360 value for our clients. Our research based advice and situational analyses enable our clients to act with speed and confidence. Your responsibilities as an enterprise architect will include: Assessing the impact of the business strategy on the enterprise architecture, including organisation, applications, data, infrastructure, and operations Staying abreast of industry dynamics and the impact of trends on an organisation, to identify and formulate need for change in enterprise architecture Co creating a client's Enterprise Architecture vision, strategy, and roadmap, ensuring it aligns with business objectives Developing recommendations and translating them into actionable roadmaps for complex and large technology environments using Lean and Agile enterprise principles Supporting the creation of Enterprise Architecture blueprints, demonstrating the e2e technology landscape including applications, integrations, and data Conducting end to end vendor assessments across technology, vendor and or data platforms Working between the business and technology client & 3rd party stakeholders to effectivity formulate communicate and conclude key architectural decisions Providing EA governance to clients throughout their transformation programme to ensure that new initiatives comply with the set guidelines, without jeopardising business objectives Support in designing and governing enterprise data platform capabilities including integration and automation Supporting the creation of Enterprise Architecture Operating model definition and implementation roadmaps Completing Enterprise Architecture maturity assessment on behalf of clients Support in designing and governing enterprise AI platform capabilities Qualification We are looking for individuals who: Work within or across one of the architectural domains; Business, Application, Data and Technology Have experience working on complex digital transformation programmes; working and present across different levels of architecture abstraction; and working with multi-disciplinary teams Have experience working on mergers, acquisitions and divestments Have proven stakeholder management and communication skills, leveraged to influence and persuade on key architectural decisions Have experience designing Cloud / Data Platforms & AI solutions including Gen AI ; and are inquisitive and keen to explore areas of emerging technologies Set yourself apart (we're very interested in hearing from you if you have some or all of the below) Experience working as a solution architect or enterprise architect Experience in business capability and process taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Experience with Enterprise / platform / application / data architecture Knowledge of architecture tools such as LeanIX, Ardoq, iServer, etc. Experience in major enterprise architecture engagements e.g. application optimisation/rationalisation, re platforming, modernization of enterprise architecture Certified in TOGAF, SAFe, and/or AWS/Azure/GCP and other enterprise platforms Familiarity with applying key frameworks such as APQC Process Classification Framework, Zachman Framework, ITIL and Scaled Agile Framework What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With over 700,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. Closing Date for Applications - Ongoing Accenture reserves the right to close the role prior to this date should a suitable applicant be found. Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . . click apply for full job details

Role Overview This is an Assistant Vice President (AVP) role within the Markets Operations Organisation. The role sits within a newly created team in the Equity Derivative Middle Office with a primary function of adjusting live positions affected by Corporate Actions in the Front Office Risk System for all EMEA Equity Trading Desks. You will play a pivotal part in helping to support the lifecycle of a trade at key junctures. Working to ensure all positions are correctly captured in risk systems and flow through our front to back Operations teams, with no issues. This is a great opportunity to join a high performing, high profile and energized team providing key support on a daily basis, and working directly with our Global Traders and Clients. You will build a strong network with the Front and Middle Office functions and will also gain experience dealing with all types of traded securities from vanilla options to more complex exotic options and structured products. We're seeking individuals with experience, and the ideal candidate will be familiar with corporate actions and their effects on trading positions. You will have the opportunity to recommend creative suggestions and work on new and existing projects to improve processes and workflows to minimize losses from failed internal processes, inadequate controls, and emerging risk in order to better serve our Clients. This is an exciting opportunity to kick start your career at Citi! We are looking for enthusiastic and energetic team players, with a strong work ethic, who will join Markets Operations team and make a difference! What you'll do Overseeing and executing a critical core operations activity to maintain correct risk through corporate action events and ensuring controls are continually monitored, and potential risks escalated on a timely basis Daily Collaboration across Global Clients, Trading, and Operations teams to provide solutions and identify/resolve root cause. Acting as key point of contact for the team across internal and external stakeholders Identifying trends, synergies and weaknesses across products and regions Recommending control enhancements as needed Promoting a culture of continuous improvement and cultivating a robust service and control environment Championing diversity and inclusion to create a working environment which allows our People to thrive and excel Providing input to simplify, improve and measure processes by delivering enhancements to the control environment, and the customer journey with input to design techniques and digital automation Providing valuable input into strategic platform re-engineering initiatives, reducing manual touch points and aligning tech delivery vs. business goals and wallet share optimization Providing input into initiatives to continuously improve straight through processing (STP) rates, including the use of robotics, workflow and other innovative re-engineering techniques What we need from you Experience in a related role Experience in dealing with Trade Bookings, Front to Back trade flows, Trade Support or Middle Office Functions Strong understanding of Equity Derivatives Demonstrated project management and delivery skills Ability to work under pressure and manage to deadlines Ability to work in a fast paced environment Consistently demonstrates clear and concise written and verbal communication Attention to detail and problem solving skills Process improvement and efficiency mindset Understanding of systems and technology platforms Expert Excel user and coding ability (VBA, SQL) for data analysis and process automation Bachelor's degree/University degree or equivalent experience What we can offer you We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best in class benefits they need to be well, live well and save well. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretionary annual performance related bonus Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Equal Opportunity Employer Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review, Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About the Team Portal is the cloud platform that connects Wayve to the outside world: handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's autonomy stack to OEM partners globally. The team operates as a startup within a scale-up: with its own infrastructure, codebase, and direct relationships with commercial partners including Uber, Nissan and other OEMs. We move fast, own our decisions, and build systems that matter. The Role We're looking for a Staff Data Platform Engineer to own and lead Wayve's Data Transfer Hub project. This is a mission critical piece of infrastructure that will scale to transfer petabytes of sensor data per day from partner-operated vehicles around the world. This is a hands on technical leadership role driving a new project at Wayve. You'll design and build a globally distributed hub and spoke ingestion system, working directly with data partners like Uber and Nissan. Your infrastructure is what makes Wayve's AI model training possible at scale. What You'll Do Set technical direction for the Data Transfer Hub, making trade-offs across reliability, throughput, cost, partner constraints, observability and operational support. Lead the technical design and delivery of the Data Transfer Hub project, ingesting large volumes of video, LiDAR and sensor data from global partners at up to PB/day scale. Design and build parallelised, distributed data transfer pipelines using Flyte for workflow orchestration, Kafka/event driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructure. Build and operate a globally distributed hub and spoke data transfer model to retrieve and share sensor data at scale with partners. Write infrastructure as code in Terraform; build pipeline logic primarily in Python. Drive cloud to cloud and cross cloud networking solutions (Azure primary; cross cloud experience beneficial). Work in a fast changing environment: requirements will evolve; high comfort with ambiguity required. What We're Looking For Proven experience building and operating large scale data transfer pipelines at multi TB or PB scale. Experience orchestrating parallelised transfer jobs: Flyte preferred; other workflow orchestration tools (e.g. Airflow, Prefect) will be considered. Experience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking and operational alerting. Strong cloud platform skills (Azure preferred); experience working with multiple cloud providers (AWS/GCP) is a strong advantage. Proficiency in Python and Terraform. Cloud to cloud and networking experience (e.g. blob/object transfer and storage at scale, cross cloud data movement). A product mindset: you think about the customer and build solutions that fix real problems, not just implement requirements. Comfort working in a fast changing environment with evolving requirements: this is a startup within a scale up. High degree of autonomy and ownership: you take responsibility for outcomes, not just tasks. Nice to Have Experience with Kafka for event driven transfer observability. Multi cloud experience across Azure, AWS and/or GCP. Experience working directly with external data partners. Background in autonomous vehicles, robotics or similar data intensive domains. This is a full time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve. DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non discriminatory.

About LILT AI is changing how the world communicates - and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality. At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues-Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1-guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we're building a category-defining company in a $50B+ global translation market being redefined by AI. The Solutions Team at LILT LILT's Solutions team focuses on our industry AI leading technology and its application to multilingual content requirements for large enterprises as well as government agencies. Our team engages with customers from the pre-sales/prospect stages through post-sale/customer onboarding stages and is made up of experts in various functional and technical areas of LILT's overall offering. While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering and Services teams. Additionally, we operate as critical members of account-based teams that ensure LILT's technology is utilized to deliver maximum value to our customers. While we're at it, we have fun and enjoy the ride together. Where You'll Work This position has the opportunity to be based in our London or Berlin office in a hybrid capacity. Fully remote employees in the UK, Germany, or Spain will also be considered. Authorization to work in the UK, Germany, or Spain is a precondition of employment. What You'll Do We're looking for an experienced AI Architect who loves solving hard problems, managing complex projects, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage multiple complex projects at once. You will work hand-in-hand with Sales, Product, Engineering, Services, and Marketing teams to bring our platform to clients and prospects. You will be responsible for providing the technical expertise to make LILT customers successful. You will have a broad range of skills and experience ranging from global content management lifecycle, a working knowledge of NLP/MT, TM, glossary, and content pipelines and integrations. You will have the insight to make the connection between a customer's specific business problems and LILT's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. Key Responsibilities: Serve as the technical co-pilot to LILT Account Executives and Account Managers, managing the customer's technical experience from scoping (pre-sales) to deployment (post-sales / success) Build and present reference architectures, how-tos, and demo applications for customers Be a subject-matter expert in translation and localization process optimization and best practices Understand and align the customer's technology stack to optimize localization processes Work cross-functionally with Engineering, Product, and Account Management teams to ensure smooth prospect-to-customer transitions and long-term customer success Play an active role in the development and maintenance of customer integrations Provide an escalated level of support for critical customer operational issues Develop and iterate on internal processes to ensure consistency across our solutions engagements Track existing technology solutions and follow the latest trends and developments relevant to multilingual content management and translation, specifically the application of AI Skills and Experience: At least 4+ years of experience in a technical pre/post-sales role at a language services, language technology, or content management company Experience working with a complex services-oriented solution Proven ability to communicate, present, and influence credibly and effectively at all levels of the organization, including executive and C-level. Subject matter expertise in localization solutions, technologies, and processes Technical background in computational linguistics or related field with experience in AI, LLM, NLP, or computer-assisted translation (CAT) solutions A passion for technical and solution-based problem-solving Analytical approach to intelligence gathering and project planning Outstanding verbal and written communication skills; ability to interact easily with end users and C-level executives Keen attention to detail and adherence to deadlines Strong desire to learn in a rapidly growing and dynamic pre-IPO growth environment Self-motivated and inspired by a results-driven environment Confidence communicating technical ideas to various audiences, primarily through presentations, white-boarding, and platform demonstrations Comfort with a bit of chaos, startup experience is an advantage Ability to work independently and self-sufficiently while being part of a team and pursuing team goals Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn't used for enterprise products and services inside the company.The quality just wasn't there. So they set out to build something better. LILT was born. LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn't meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI. With AI innovation accelerating and enterprise demand growing, the next phase of LILT's journey is just beginning. Our Tech What sets our platform apart: Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review LILT in the News Featured in The Software Report's Top 100 Software Companies! LILT makes it onto the Inc. 5000 List. LILT's continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. Check out all our news on our website. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at . LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual's race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

A bit about the role The ideal candidate will have strong knowledge and experience in AWS, Terraform, Ansible and GitHub Actions, along with strong Python programming skills and experience in CI/CD workflows. You will assist teams to ensure standards are followed and maintained. This role requires a proactive individual who can troubleshoot at a low level, standardise solutions, and implement best practices across multiple platforms and technologies. What you'll be doing As a senior you will drive the design, deployment, and management of the automation and monitoring platforms to support our applications and services. Establish and enforce best practices for security, compliance, and cost management. Build & maintain the monitoring and alerting infrastructure and configuration. Develop dashboards to visualise key information to business stakeholders. Configure automation for new system integrations using existing custom frameworks and manage job configurations using Control M scheduling. Develop new automated processes making use of programming knowledge. Maintain a fundamental understanding of the Allwyn infrastructure and gaming platforms to aid with capacity planning and troubleshooting. Build GitHub Actions automations to deploy code into test & production environments. Work Management Work with the Tech Lead and Technical Delivery Manager to orchestrate work for the team, breaking down epics and stories into smaller stories and tasks that the engineers can work on in a day, and monitor these. Ensure that work is of a suitable quality for the team. Collaborate with product owners, business analysts and delivery managers to shape and refine the backlog. Make sure that the work management system ticket status is kept up to date in near real time, i.e. when the team starts work on a ticket change its status to reflect the same. What experience we're looking for Experience with application monitoring tools such as AppDynamics, along with administration skills in Sensu, Logz.io: Modern Observability Powered by AI, Consul, Hashicorp Vault, Grafana, Graphite & InfluxDB, or equivalents. Some experience with ServiceNow ITOM would be a bonus. Comprehensive practical experience with AWS, use of Terraform & Ansible and past use of ECS & Fargate, containerisation using Docker to build custom images. Experience using serverless technologies, for example Lambda, API Gateway, DynamoDB, EventBridge. Exhibit strong object-oriented programming skills in Python, with practical experience in writing Lambda functions and/or complex scripts. Familiarity with CI/CD tools, code linting, and experience with GitHub Actions. Significant experience with low-level n ix administration and troubleshooting. Possess a strong understanding of network and web technologies, including the TCP/IP stack, HTTP, HTTPS, RESTful APIs, certificates & encryption. Have some web development experience using modern technologies, preferably NodeJS, Java or equivalent. Experience using JIRA and Confluence for project management and collaboration. Have a basic understanding of Azure services. Be an excellent communicator, able to collaborate at different levels, across diverse skill teams. Demonstrate strong analytical and problem solving skills with a strategic mindset, capable of assessing risks and proposing effective mitigation actions based on professional judgement. Be highly self motivated, proactive, and capable of working both independently and as part of a team. Handle ambiguity, competing requirements, and shifting priorities. Be open to self disruption, modernization, and simplification. Demonstrate a desire for consistency and automation of everything. Key Measures of Success Business Expertise: Has developed skills to help support the TNL infrastructure. Product & Service Expertise: Has developed a key understanding of the products and services offered by the business and the key stakeholders for each area. Delivering Solutions (Problem Solving): Solves problems by selecting from a range of experience and existing solutions. Delivering Solutions (Planning & Organising): Prioritises and organises own work to meet agreed upon deadlines and quality/accuracy standards. Delivering Solutions (Continuous Improvement & Process): Highlights new opportunities to continuously improve current working practices within own team. Impact (Decision Making): Makes decisions related to own work. Receives regular but moderate supervision and guidance. Impact (Influence): Provides information and advice to business customers on basic product/service offerings. Is aware of the effect of actions on external relationships. Benefits Company Bonus Scheme Matched pension contributions up to 8.5% 26 days annual leave + 2 Life Days (and bank holidays) Single Private Health Cover Complimentary Private Medical Income Protection Flexible Benefits - EV Scheme, Money Coach, Will Writing, Mortgage Advice, Dental and Eye Care Schemes. Enhanced Family Leave (Maternity, Paternity, Adoption) Wellness Allowance £500 Employee Assistance Programme Discounted Health Assessments Volunteering Days Matched Funding About us At Allwyn, we are dedicated to changing lives and growing the National Lottery responsibly, championing its positive impact on people, places, and the planet. We are a Disability Confident Leader which means we've taken proactive steps to ensure our workplace is accessible and inclusive for disabled and neurodivergent colleagues and candidates. As part of this we offer an interview to disabled applicants who meet the essential requirements of the job. If you need any assistance or adjustments to this job description or in the application process, please contact us at and we'll be happy to help.

Cloud Engineering Manager Role purpose: Flutter Technology is recruiting a Cloud Engineering Manager responsible for leading a team of engineers that will drive the implementation, automation, and operation of our greenfield AWS cloud platform. The platform will underpin the global services consumed by the group's well known betting brands. This role offers a fantastic opportunity to influence the technology choices across Flutter's cloud hosting platforms. You will work with all brands across the group to migrate and modernise their services, deliver technology solutions to meet their needs, and promote knowledge sharing within the engineering community. You will also contribute to the evaluation and selection of AWS services, code and configuration management tools, and other components essential for achieving our group's strategic objectives. You must be effective at articulating technology requirements, promoting cloud enablement, migrations and the methodologies required to reduce risk and achieve desired outcomes. Responsibilities Team Leadership & People Management Lead and scale engineering teams of 5+ members, demonstrating ability to hire, develop, and retain high performing talent. Manage performance reviews, capability assessments, and conduct difficult conversations (performance improvement plans, terminations). Build psychological safety and foster collaborative team cultures in technically demanding environments. Communicate complex technical concepts and infrastructure decisions to non technical audiences. Network Implementation & Engineering: Support the implementation of scalable, secure, and high performing cloud network solutions across multiple AWS regions based on approved architectural designs. Network Implementation & Engineering Build and operate Flutter's global hybrid network infrastructure, utilizing primarily AWS native services alongside on premises solutions, implementing advanced routing architectures, IP address management, centralized ingress/egress control, and enterprise wide network security services. Spearhead network deployment and operations using Infrastructure as Code (IaC) methodologies with tools such as CDK, Typescript, Terraform or CloudFormation. Ensure compliance with security frameworks, regulatory requirements, and industry standards across all network implementations. Contribute to network technology roadmaps and strategy based on hands on implementation experience and operational insights. Set technical implementation standards, enforce networking best practices, and provide mentorship to engineering teams. Support cloud architecture and Flutter Function leads with developing the cloud technology roadmap and strategy. Operational Excellence Create and drive adoption of standard operating procedures, policies, runbooks, and operational manuals. Assume guardianship of network infrastructure code and artefact repositories, ensuring adherence to best practices. Proactively identify and mitigate network risks, ensure robust disaster recovery strategies, and lead major incident response efforts. Write and review platform code, offering constructive feedback to ensure code quality. Drive continuous improvement in network monitoring, observability, and performance optimisation. Build and maintain on call rotations; manage escalation paths and ensure appropriate coverage for 24/7 operations. Establish and enforce service level agreements (SLAs) and key performance indicators (KPIs) for infrastructure services. Collaboration & Knowledge Sharing Facilitate the development and communication of Flutter Group standards for network design, development, and deployment. Enable and support engineering teams with the adoption of cloud networking services through training initiatives and workshops. Cultivate relationships with other pivotal Flutter group functions and identify opportunities for strategic collaboration. Liaise with third party vendors, AWS, and partners on networking solutions and integrations. Write and maintain comprehensive technical documentation, runbooks, and operational guides. Competencies Building Support: We establish close relationships with our stakeholders, underpinned by trust, integrity, and respect, and can build awareness, understanding, and positive momentum behind the group technology strategy, often without being able to assert authority. Objective: We are impartial and unbiased, ensuring equal treatment for all and that decisions are based on objective criteria. Collaborative: We work effectively and in partnership with our stakeholders on shared goals that align towards the achievement of the group strategy, fostering a collaborative environment and assuming the role of leader when required. Adaptable: We understand and appreciate different and opposing perspectives on an issue and can adapt our approach to achieve a successful outcome. Strategic Thinking: We think about the big picture and use that perspective to support our divisions to achieve competitive advantage through greater agility, faster time to market and a better customer experience. Strategic Communication: We are proactive and considered in our approach to stakeholder communications, actively listening, providing constructive feedback and helping others to consider new perspectives. Experience Proven experience leading and managing engineering teams, including hiring, performance management, and career development of engineers at varying levels of seniority. Experience building and operating network infrastructure across multiple AWS accounts and regions, supporting high availability, multi region workloads. Deep understanding of AWS networking services including but not limited to: Cloud WAN, Transit Gateway, VPC design, AWS Network Firewall, Direct Connect, VPN, Route53, Outpost, VPC Endpoints, load balancing services (ALB, NLB, GWLB), and VPC Lattice. Proven experience with network security implementation, including firewall policy development (AWS Network Firewall, Palo Alto), IDS/IPS management (Suricata), network segmentation, and compliance frameworks. Experience with source control management (Git, GitHub) and CI/CD pipeline integration for network automation. Demonstrated experience mentoring and coaching engineers at varying levels of seniority, with a track record of supporting career progression and capability uplift within teams. Leads engineering teams using agile delivery methodologies; applies agile principles pragmatically to infrastructure work including sprint planning, backlog management, and continuous improvement. Leads incident response, change management, and problem resolution processes, accountable for post incident reviews, risk identification, and implementation of corrective actions. Bonus Bonus points for previous software engineering experience (Python, TypeScript, Go), Wi Fi infrastructure (Cisco, Aruba), container networking (EKS, ECS), AWS certifications, or experience in highly regulated industries.

Overview The role Willis Re is a technology led reinsurance broker built on a cloud native, modular and data driven platform. As the Technology Head of AI & Emerging Tech, you will own the overall technology strategy and roadmap for AI, automation and next generation capabilities. As a member of the technology leadership team, you will turn innovation into scaled capabilities across broking, placement, analytics, and client servicing-balancing speed with safety, and experimentation with operational excellence. You will partner closely with the Product Manager, Brokers and business leaders to design simple and scalable solutions and move them from pilot to production with clear accountability. Operating in a hybrid delivery model, you will set standards, govern risk and ensure alignment to global architectures and security requirements, while enabling regional flexibility where needed. Key Responsibilities Define and own the technology strategy for AI, aligned to business priorities; translate value propositions into a roadmap. Lead delivery of AI solutions across pricing support, submission triage, document and market data extraction, client insight, workflow automation and co pilot experiences for employees. Establish responsible AI governance and controls in partnership with Cyber, Data Protection and Legal, covering model risk, data privacy, transparency, human in the loop and auditing. Build the target operating model for AI engineering and MLOps, including model lifecycle management, monitoring, incident response, versioning and cost/performance optimisation. Set global standards for AI platforms, toolchains and integration patterns; ensure interoperability with enterprise data platforms and adherence to security and compliance requirements. Drive rapid experimentation with clear exit criteria; scale successful pilots into reliable, maintainable services using automated testing, observability and release practices. Develop and manage strategic vendor and partner relationships, balancing build vs. buy decisions and negotiating commercial and risk terms that protect value. Provide executive level communication and storytelling on technology strategy, risks and outcomes; partner effectively with Product Managers, Brokers and clients to shape solutions that fit market workflows. Assist Product Managers to ensure solutions land successfully with business teams. Maintain horizon scanning and technology assessment, identifying pragmatic opportunities to introduce new capabilities that enhance agility and global scalability. About you You are a business minded technology leader who turns AI and advanced technology into practical capabilities. You combine strategic clarity with hands on depth, moving comfortably from business conversation to solution design and delivery oversight, and you anchor decisions in risk and value. You thrive in a start up environment and are comfortable operating beyond your usual remit to get things done-partnering with business, engineers and regional leaders to unblock delivery and drive adoption. You communicate crisply with business leaders, make trade offs explicit and hold clear ownership for outcomes. Skills and experience Significant experience leading digital transformation, with proven delivery of AI, automation and emerging technology in complex, cloud first environments. Proven capability to architect end to end solutions as well as deliver them, from reference architectures and integration patterns through to production rollout and adoption. Proven delivery of AI/ML and GenAI solutions in production, including document intelligence, NLP, search/summary, recommendation, decision support and workflow automation. Strong grasp of responsible AI, security and compliance, including model risk management, privacy, data residency, human oversight and auditability. Hands on understanding of AI/MLOps practices and platforms, including model lifecycle, observability, cost control, CI/CD, feature stores and data integration. Experience defining and governing enterprise standards and architectures for AI platforms, APIs and integration, aligned to global patterns with regional flexibility. Demonstrated ability to partner with business leaders, translating business requirements into scalable solutions. Vendor and partner management expertise, including evaluation, contracting and ongoing performance management tied to value realisation. Excellent communication and stakeholder management skills, with credible engagement at all levels and across multi region teams. About Willis Re We combine specialist broking with analytics, modeling and research to help insurers optimise risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship driven, transparent and outcome focused. At the heart of Willis Re is a focus on delivering the most cutting edge analytical solutions to enable more informed, better decision making for risk selection, portfolio optimisation, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking. Willis Re will also leverage recognised technical expertise from WTW's Insurance Consulting & Technology business including their advanced modelling and analytical capabilities. Alongside this will be WTW's Research Network, an award winning business supporting and influencing science to improve the understanding and quantification of risk. Diversity & Inclusion We are committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at .

Infrastructure Engineers - Edinburgh Do you have experience as an Infrastructure Engineer in Retail Banking, Betting, or E-Commerce organisations, where there are a very high volume of customers online? We are working in collaboration to source Infrastructure Engineers (several posts) for a Financial Services client who has offices in Edinburgh and London. As for work format, it is 6 days per month contractually, but it will be 1 day a week, which is always a Thursday. There is an on-call element to this, once every 6-8 weeks, and they will be paid. Salaries vary according to location. This is a pivotal role in the organisation that will involve building solutions for their Platform hosted in a public cloud (AWS) environment. You will collaborate with stakeholders to develop product roadmaps, provide operational support for pattern or product related issues and work with key vendors. This role covers the platform for Mortgages, Loans, CC, Overdrafts and new next-gen work. Your solutions will use automation to build reliable solutions, and comply with security, resilience, sustainability and operational requirements. Additionally, you'll: Take a lead role with an entire team to design and engineer intuitive, self-service infrastructure products Develop technical skills through continuous learning and development Contribute to the delivery of infrastructure as code solutions Build an awareness of design thinking tools and techniques with users in order to improve your product Provide operational support for pattern or product related issues Work with key vendors in the delivery of the infrastructure services and technology for the product Skills you'll need To thrive in this role, you'll have experience in Infrastructure as Code such as Terraform, and automation scripting, such as Python or Shell, with an understanding of the software development lifecycle. We'll expect you to bring a good understanding of Agile working practices and toolsets with the ability to create the vision for the Release Train, feature team, platform and domain. Minimum 5 years of experience. But the candidate must be able to talk through failures and know what to do if failures occur. What is your experience? Is it architecture, design, build, or deployment? It will all be tested. You can come from any sector and any size company, all come down to their personal involvement in projects. Must have good communication skills. Key requirements AWS; S3, WAF, EC2, Load Balancing, CloudFront (any mix of these) Kubernetes is essential - you must be battle-hardened from its use, having taken items through to production. Helm and Terraform are also essential. Knowledge and experience in AWS hosting and services. Demonstratable CI/CD experience, preferably using GitLab. Experience with Terraform, Docker and Kubernetes. Experience with observability tooling such as Grafana, Loki, Tempo, Mimir and Prometheus. Advantageous Python/Shell, not that important, but beneficial. If they have a network background that's useful. DevOps/SRE backgrounds also. If you have managed deployments across multiple regions, that's beneficial. A robust SRE mindset and the ability to support the infrastructure out of hours.