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Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Warner Bros. Discovery (WBD) Sports Europe represents WBD’s portfolio of sports brands, channels, and platforms in Europe. It collectively engages 130 million people every month, reaching fans and broad audiences in more than 200 markets and in 20 languages across all platforms where consumers are spending time: free-to-air TV, pay-TV, streaming, online and social. WBD Sports Europe includes the much-loved consumer brands Eurosport and TNT Sports in the UK and Ireland, as well sports programming and content on WBD’s free-to-air TV networks and streaming on HBO Max. They connect audiences with the greatest sporting events in the world. This includes being the Home of the Olympics Games in Europe; tennis’ Grand Slams; cycling’s Grand Tours, more than 1,000 live cycling broadcasts per year, the WHOOP UCI Mountain Bike World Series; the PGA TOUR year-round in some markets; the FIM Endurance World Championship; The Ocean Race; the FIM Speedway GP and every major winter sports World Championship and World Cup event. Your new role... As Warner Bros. Discovery Inc’s portfolio continues to grow – around the world and across platforms – the Global Technology & Operations team is building media technology and IT systems that meet the world class standard for which Discovery is known. GT&O builds, implements and maintains the business systems and technology that are critical for delivering Warner Bros. Discovery’s products, while articulating the long-term technology strategy that will enable Warner Bros. Discovery’s growing pay-tv, digital terrestrial, free-to-air and online services to reach more audiences on more platforms. From Amsterdam to Singapore and from satellite and broadcast operations to SAP, we are driving Discovery forward on the leading edge of technology. You will mainly be involved on WBD Sports. The channels moved in a technology transformation for all his equipment home of all countries in Europe based on a hybrid architecture on premise and cloud. London and Paris team manage the engineering and support of this new group surrounded by two playout center and all the markets in Europe from Eurosport. If you’re not afraid by the new technologies and you want to be part of a dynamic and international team, join us in the heart of the channel sport broadcast in 22 languages. Your role accountabilities... As part of the M2P Engineering team, this role provides Tier 2 support and engineering expertise for MAM and post-production platforms within a virtualized hybrid on-premises and cloud environment. Support: Tier 2 support Manage tickets escalated from Level 0 and Level 1 support teams Coordinate incident and problem follow-up with internal and external teams Follow up update on platform day to day with the support Tier 1 Plan maintenance activities Upgrade phases and reboot action coordination Monitor and maintain the overall health and performance of the platform Engineering: Manage short-term engineering project Collaborate with tier3 engineering team Gather workflow requirements from WBD Sports, TNT Sports and Eurosport offices Produce workflow, project and engineering documentation Design centralized workflows across MAM and Post-Production platforms Support users through change management and new projects implementation Qualifications & Experiences.. Degree in Technology, Engineering, Broadcast, or a related field Fluent written and spoken English French language skills are desirable Strong communication skills Adaptability to work in a fast-paced and continuously changing environment Ability to perform effectively under pressure, particularly when supporting production teams during live events Self-motivated and collaborative team player with a strong commitment to delivering high-quality customer service Excellent troubleshooting, analytical and problem-solving skills Minimum of 3 years of experience in Broadcast Technology in a support or engineering role Experience in Sports, News, Production and Documentary environments Experience with MAM and Post-Production tools Extensive Broadcast technical background (IP video 2110, AES 67, NMOS, video and audio formats and codec…) Good understanding of IT technologies and the associated challenge (network, virtualization, storage, cloud services, security…) Monitor emerging technologies and industry trends to ensure systems remain efficient, scalable, and aligned with business growth Nice to have Basic scripting and development skills Knowledge of AWS services Knowledge of microservices architecture General Work on shift (evening and weekend) Night work may be required depending on live events On-call rotation Based in London, UK Minimal travel expected Permanent contract #TECH Hybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office work, following our current company policy and to be agreed with your Line Manager. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at _ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our _ for instructions to submit your request.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports—giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer, you’ll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you’ll do: You’ll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation, real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution—not just single models—while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low latency, highly reliable cloud based AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering data–driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Nice to have Understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan – we immerse ourselves in Sport so having a passion for sport and a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next. But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we’ll back you all the way. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

DescriptionMethods Analytics (MA) is recruiting for a Data Architect to join our team a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Architect: Advocate the business benefit of data standards, championing and governing those standards across projects and the organisation Demonstrate an overall perspective on business issues and activities, determining patterns, standards, policies, roadmaps and vision statements Make and guide effective decisions, explaining clearly how decisions have been reached and resolving technical disputes across varying levels of complexity and risk Communicate effectively across organisational, technical and political boundaries, making complex technical information accessible for non-technical audiences Design how to expose data from systems (APIs, real-time streams), link data from multiple systems, and deliver modern data services Ensure that risks associated with deployment are adequately understood and documented Design end-to-end data solutions from requirements through implementation, including technical documentation and architecture blueprints Lead complex data migration projects from legacy systems to modern cloud-native platforms Evaluate and recommend appropriate technologies across the modern data stack to meet specific client needs Mentor junior team members and collaborate with data engineers, software engineers, data scientists, and business stakeholders Your Impact: Enable transformative business decisions through robust, scalable data architectures Drive adoption of modern data platforms and AI-enabled analytics solutions Establish technical standards and architectural patterns that ensure quality, security, and maintainability Help cultivate a data-driven culture within client organisations and internally Deliver architectures that seamlessly integrate traditional and modern data systems RequirementsYou Will Demonstrate: Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric) Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models Excellent relational database design skills with expertise in diagnosing and optimising performance across SQL Server, PostgreSQL, and cloud databases Proven track record with complex data migration projects (terabyte+ datasets, multiple legacy source systems, structures and unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda and Kappa architectural patterns and when to apply each You May Also Have: Exposure to high-performing, low latency or large volume data systems Knowledge of and/or experience with Government Digital Service practices across Discovery/Alpha/Beta/Live phases Understanding of vector databases and similarity search for AI applications Experience with Infrastructure as Code and modern DevOps practices Knowledge of how to design and analyse operational logs for data processing, and triage incidents Awareness of advances in AI technologies, data services, and architectural practices Industry specialisation in specific sectors (Engineering, Manufacturing, Healthcare etc.) Public sector or defence experience Experience with modern unified data platforms like Databricks or Microsoft Fabric Understanding of data mesh or data fabric architectural approaches Relevant industry certifications such as TOGAF 9, CDMP (Certified Data Management Professional), or Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK – Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview.Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application ReviewInitial Phone ScreenTechnical InterviewCollaborative Technical ExerciseFinal InterviewOfferBenefitsWorking at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight, and technical excellence to provide our customers an end-to-end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process – but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought-provoking leadership A supportive and collaborative environment As well as this, we offer: Annual two-day technical hackathon bringing together all technical teams for innovation and collaboration Monthly Engineering & Architecture Community of Practice event Bi-annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Private Medical Insurance which is non-contributory (spouse and dependants included) Worldwide Travel Insurance which is non-contributory (spouse and dependants included) Discretionary Company Bonus based on company and individual performance Life Assurance of 4 times base salary Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Wellness 24/7 Confidential employee assistance programme Social - office parties, pizza Friday and commitment to charitable causesJob SummaryID: 126F70B47CDepartment: Capabilities, IT - Data & AI, IT - AI - AnalyticsType: full time

\n Lead Databricks Data Engineer \n\n\n £500 - £600 per day Outside IR35 London, hybrid working\n\n\n This freelance opportunity offers the chance to shape the future-state data platform for a large, complex financial services organisation. The focus is on moving from slow, batch-based analytics towards a more modern, streaming-led architecture, with clear ownership over data vision, use cases, and delivery direction.\n\n\n The Company They are a well-established organisation operating at scale within the UK financial services and pensions landscape. Managing significant volumes of legacy and live data, they work with both onshore and offshore delivery partners. The business is at a pivotal point in modernising how data is accessed, governed, and used to drive insight. Clear communication and pragmatic decision-making are highly valued.\n\n\n The Role and Deliverables\n\n\n • Define a clear end-to-end data vision, covering current state, target architecture, and practical steps to get there.\n, • Lead the design and development of a Databricks-based medallion architecture, with a strong focus on a robust Gold layer for analytics.\n, • Improve data availability by shifting from monthly batch processes towards more frequent or streaming ingestion where appropriate.\n, • Act as the senior technical decision-maker on data use cases, prioritisation, and trade-offs.\n, • Work closely with onshore teams and an offshore partner to unblock progress, clarify ownership, and accelerate delivery.\n, • Provide regular, clear updates to senior stakeholders, ensuring alignment on progress and next steps.\n\n\n Your Skills & Experience\n\n\n, • Strong experience as a Lead Data Engineer within financial services, ideally pensions or a similarly regulated environment.\n, • Proven capability designing and delivering modern data platforms using Databricks and medallion architecture principles.\n, • Experience dealing with large volumes of legacy data and integrating it with modern analytics platforms.\n, • Confidence defining data use cases and translating business needs into technical delivery.\n, • Ability to lead mixed teams across onshore and offshore models and make effective resource allocation decisions.\n, • Excellent communication skills, with the credibility to engage senior stakeholders and drive momentum.\n\n \n

We're recruiting on behalf of our client for an experienced AV Engineering Manager to lead the delivery of enterprise AV services within a prestigious London-based organisation.Leading a team of AV Engineers, you'll be responsible for maintaining high service standards, managing technical escalations, supporting AV operations across multiple UK sites and driving continuous improvement. Working closely with the Client AV Manager, you'll ensure a reliable, high-performing AV environment while helping shape future technologies, processes and best practice.This is an excellent opportunity for an experienced AV leader looking to combine technical expertise with people management in a modern, enterprise AV environment.Description Key ResponsibilitiesSupport the Client AV Manager, who holds overall responsibility for UK Audio Visual operational services.Act as a key point of contact, ensuring effective communication between operational teams and senior management.Implement governance, processes and operational standards across the AV team.Maintain consistency across service delivery.Drive accountability and continuous improvement.Uphold high standards across all aspects of the AV service.Resolve complex, high-priority AV incidents, acting as the technical escalation point for the team.Manage and coordinate AV support across multiple UK sites.Provide technical leadership and guidance to engineers, assisting with complex troubleshooting and fault resolution.Plan, execute and verify software, firmware and system updates across AV devices and platforms.Carry out root cause analysis for recurring and complex AV issues.Coach, mentor and develop team members, encouraging continuous professional development.Set clear expectations, monitor performance and conduct regular performance reviews.Motivate and engage the team to maintain high morale and productivity.Delegate and prioritise workload to ensure efficient incident resolution and service delivery.Manage operational requests using structured project management methodologies, including planning, implementation, delivery and reporting.Identify opportunities to improve the client's AV service through new technologies, operational efficiencies and service enhancements.Experience & QualificationsMinimum of 5-7 years' experience in AV operations.At least 2-3 years' experience leading or supervising AV engineering teams within a corporate or enterprise environment.Advanced troubleshooting and problem-solving skills across enterprise AV systems.Experience managing AV support across multiple UK sites.Industry certifications such as CTS, CTS-D, CTS-I, Crestron, Extron, Q-SYS or equivalent are highly desirable.Technical SkillsCore AV TechnologiesStrong knowledge of AV control platforms including Crestron, Extron, AMX and Q-SYS.Expert understanding of Microsoft Teams Rooms, Zoom Rooms, Cisco Webex and Google Meet hardware.Advanced knowledge of DSPs including Biamp, Q-SYS and Shure.Experience supporting microphones, mixers, amplifiers and professional audio systems.Knowledge of LED walls, projectors, LCD displays and interactive displays.Experience supporting digital signage platforms.Understanding of live streaming, recording and content distribution technologies.Networking & InfrastructureStrong understanding of AV over IP technologies including Dante, NDI, SDVoE and HDBaseT.Good understanding of TCP/IP, VLANs, DHCP, DNS and QoS as they relate to AV systems.Software & Management PlatformsExperience using AV monitoring platforms such as Logitech Sync, Crestron XiO Cloud and Extron GlobalViewer Enterprise.Experience using ITSM platforms such as ServiceNow.Leadership & Soft SkillsStrong leadership and people management abilities.Experience mentoring and coaching technical teams.Excellent workload and resource management skills.Strong project management capability.Excellent verbal and written communication skills.Ability to communicate effectively with clients, senior stakeholders, IT teams and third-party vendors.Strong analytical and decision-making skills.Customer-focused approach with a commitment to delivering exceptional service.Excellent organisational and time management skills, with the ability to manage multiple priorities simultaneously.TPBN1_UKTJ

Senior Software Engineer (Backend / Full-Stack, AI-Native) \n About Us We're rethinking enterprise integration for developers and AI agents with a semantic layer: describe the data you need, and the platform gets it - fast, deterministic, secure, self-repairing, auditable, scalable. Already live with banks and financial institutions, and hiring to build the product further. You'll work across our data integration platform and our open-source schema language and ecosystem. \n What You'll Work On Mostly Kotlin backend, but everyone touches the full stack: the integration platform (streaming pipelines, query execution, API composition, schema resolution, running in production at real financial institutions); our open-source schema language (compiler, type system, query engine, no prior compiler experience needed); our AI agent built on Spring AI (greenfield work orchestrating integrations autonomously); and the frontend (mainly Angular, some React, no specialism required). \n What We're Looking For Kotlin, or strong modern Java 17+ with a willingness to learn; reactive streams experience (Flux, Mono, coroutines, backpressure); schema/type thinking (OpenAPI, Avro, Protobuf, or similar); event-driven architecture awareness (Kafka or RabbitMQ a plus); strong testing habits; clean, pragmatic code; curiosity and adaptability; full-stack willingness (Angular, React, Vue, or similar); active use of AI-assisted coding tools; strong written English for a distributed, mostly async team; and 5+ years of professional experience shipping production systems. \n How You'll Need to Work Autonomously, with context and support rather than daily assigned tickets; collaboratively, staying constructive when things break or priorities shift; with genuine customer empathy; openly, sharing your work internally and externally; and at startup pace, where some days are scrappy. \n Nice to Have Kafka or RabbitMQ experience, Angular/TypeScript specifically, deep Kotlin/JVM ecosystem knowledge, compiler or query engine experience, Spring AI or LLM agent experience, financial services background, or a blog/talks/open-source contributions. \n What We Offer GBP salary plus early-stage equity, remote-first work (UK-friendly timezones) with occasional onsite office days roughly monthly, a budget for conferences and learning, and a hardware and tooling budget. \n \n \n Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. \n To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Role: Contract Technical Lead \n Programme: Azure Databricks Platform \n Industry: Commodities / Energy Trading \n Location: London (Hybrid) \n Contract: Initial 6-month contract (long-term transformation programme) \n Rate: £900-1000/day (Inside IR35) \n \n X4 Technology are partnered with a leading global energy trading organisation delivering a major transformation, centred on the migration from a legacy ETRM platform to Endur and the modernisation of their enterprise data landscape through Azure Databricks. \n \n As part of this multi-year programme, the business is migrating Oracle-based data platforms into Azure Databricks to create a scalable data platform supporting Endur, global reporting, analytics and risk, while reducing critical data latency from 10–15 minutes to near real-time. \n \n They're looking for an experienced Technical Lead to define the technical direction of the Azure Databricks platform, driving architecture, performance optimisation and engineering best practices across one of the organisation's most strategic cloud modernisation programmes. \n \n Responsibilities for the Contract Technical Lead – Azure Databricks Data Platform \n\n • Lead the architecture, design and delivery of scalable Azure Databricks data solutions, providing technical leadership from solution design through to production.\n, • Drive best practices across data engineering, platform architecture, governance, security and engineering standards, mentoring teams and influencing technical direction.\n, • Optimise Databricks performance, including Structured Streaming, Delta Live Tables and cloud cost efficiency.\n, • Partner with business stakeholders, architects and engineering teams to translate complex requirements into scalable, high-performance data solutions.\n, • Lead the migration of legacy enterprise data platforms into Azure Databricks, delivering a unified data platform for Endur, global reporting and analytics while shaping its long-term evolution.\n\n \n Requirements for the Contract Technical Lead – Azure Databricks Data Platform \n\n • Proven experience leading the design and delivery of enterprise-scale Azure Data Platform and Databricks solutions.\n, • Strong hands-on expertise with Azure Databricks, Structured Streaming, Delta Live Tables, PySpark, Python and SQL, with a focus on performance optimisation.\n, • Strong understanding of cloud data architecture, data governance, data quality and engineering best practices.\n, • Excellent leadership, stakeholder management and communication skills, with experience mentoring teams and driving technical delivery.\n, • Experience within energy trading, commodities, capital markets or wider financial services, with knowledge of trading data models and business processes highly desirable.\n\n \n This is an excellent opportunity share the technical direction of a business-critical Azure Databricks platform for one of the world's biggest names within energy trading. Interviews are being lined up from W/C 27th July, so please apply online for immediate consideration

Legal Counsel, Compliance (Mid-Level, TMT & E-commerce) - 6 months \n \n About the Role \n \n Responsibilities \n \n\n • Day-to-day compliance support: Provide compliance advisory to business teams on TMT and e-commerce matters, including product launch reviews, platform governance strategy assessments, and interpretation of platform rules.\n, • Legal risk identification and management: Conduct compliance assessments for new businesses, products, and features; identify potential legal risks; and deliver actionable solutions and risk-mitigation recommendations.\n, • Regulatory research and monitoring: Independently research and analyse developments in overseas e-commerce regulation (e.g., platform liability, consumer protection, product/content governance, obligations of e-commerce platform operators), and provide interpretations and summaries to business teams.\n\n \n Qualifications \n \n\n • Education: Bachelor's degree or above in law from a reputable law school; LL.B / LL.M / J.D. preferred.\n, • Bar qualification: bar admission in one of the jurisdictions: PRC, England & Wales, US or other common law/civil law jurisdiction.\n, • Experience: 4–8 years of relevant experience, with a background in reputable law firms, or in-house legal/compliance team of a tech or e-commerce company.\n, • Professional expertise: Solid knowledge of e-commerce–related laws such as the E-commerce Law, Consumer Rights Protection Law, Advertising Law, and Anti-Unfair Competition Law, as well as major platform governance rules.\n, • Solid knowledge of regulations such as GDPR, DSA, and DMA.\n, • Solid knowledge of core TMT laws and regulations, including but not limited to the privacy, cybersecurity, telecommunication licensing, AI governance is preferred.\n, • Languages requirements: English and Chinese\n, • Chinese communication (core requirement): Must be able to communicate fluently in Chinese (spoken) to collaborate effectively with China-based business, product, and legal stakeholders.\n, • Hands-on experience with leading e-commerce platforms, cross-border e-commerce, live-streaming e-commerce, or social commerce.\n, • Experience in data compliance, platform governance, content compliance, or AI compliance projects.\n, • Strong commercial acumen, with the ability to translate legal analysis into practical, business-executable recommendations.\n\n \n \n

\n Senior Media Engineer – Post-Production Support Location: London – Hybrid Contract: 12 months Pay rate: £352 per day PAYE Working pattern: Full-time, with occasional evening, weekend and out-of-hours support The Role\n We are recruiting an experienced Senior Media Engineer to support the post-production and live editorial operations of a leading global entertainment and streaming organisation. \n This role will sit within a specialist Post Production Services team responsible for supporting advanced editorial environments, media workflows, file-transfer processes and production technology used across film, television and live content. \n The successful candidate will combine strong post-production knowledge with hands‑on technical troubleshooting, excellent stakeholder support and the ability to remain calm in fast-moving production environments. Key Responsibilities\n \n • Provide high-quality technical and operational support to production, editorial and post-production users.\n, • Troubleshoot issues affecting media workflows, file transfers, editorial tools and post-production services.\n, • Monitor automated file transfers, production systems and workflow health through central operational dashboards.\n, • Proactively identify and resolve technical issues before they impact productions.\n, • Support footage ingest and automated ingest workflows.\n, • Provide specialist support for media library, dailies, VFX pulls, conform pulls and review and approval processes.\n, • Investigate failed or delayed media transfers and coordinate remediation.\n, • Support live editorial and remote production environments.\n, • Maintain clear documentation covering incidents, recurring issues, fixes and operational procedures.\n, • Collect feedback from production users and identify opportunities to improve tools and workflows.\n, • Partner with Product and Engineering teams to prioritise bug fixes, troubleshooting tools and service improvements.\n, • Support the testing, deployment and adoption of new production technology.\n, • Collaborate with regional Production Technology teams and provide local workflow knowledge and production context.\n, • Escalate complex issues appropriately and manage them through to resolution.\n Essential Experience\n \n, • At least three years’ experience in post-production support, media engineering, studio or network support, or process management within a post-production vendor.\n, • Strong understanding of content creation, on-set production and post-production processes.\n, • Experience supporting editorial or media production environments.\n, • Knowledge of dailies, media ingest, VFX pulls, conform processes and review and approval workflows.\n, • Experience troubleshooting complex media, file‑transfer or production technology issues.\n, • Strong stakeholder communication and client‑service skills.\n, • Ability to work independently and make decisions in high‑pressure environments.\n, • Strong organisational, prioritisation and incident‑management skills.\n, • Willingness to support productions outside standard office hours when required.\n Technical Skills\n Experience with a selection of the following tools and technologies is highly desirable: \n \n • Avid Media Composer\n, • Adobe Premiere Pro\n, • FilmLight Baselight\n, • Colorfront OSD\n, • Autodesk PIX\n, • Flow Capture\n, • Aspera\n, • Remote editorial and PCoIP technologies\n, • Live streaming and live editorial workflows\n, • Command-line tools\n, • APIs and basic API interaction\n \n Candidates should also have an understanding of: \n \n • JSON, XML and CSV data formats\n, • ALE, EDL, FDL and MHL/ASC‑MHL standards\n, • Colour science within editorial and post‑production workflows\n, • Local storage, shared storage, SAN and cloud‑storage environments\n, • Automated media‑transfer and content‑management workflows\n About You\n You will be: \n \n • Calm and solutions‑focused under pressure\n, • Proactive in identifying and preventing production issues\n, • Comfortable supporting demanding creative and technical stakeholders\n, • Able to explain complex technical issues clearly\n, • Highly responsive and service‑oriented\n, • Adaptable and quick to learn new tools and workflows\n, • Comfortable working independently and as part of a global team\n, • Available for occasional night, weekend and out‑of‑hours support\n \n This is an excellent opportunity for a media engineering or post‑production technology specialist to support high‑profile content within a technically advanced global production environment. \n #J-18808-Ljbffr

\n JOB TITLE: Motion Editor \n DEPARTMENT: Creative Services \n REPORTS TO: Senior Art Director \n \n OVERALL PURPOSE OF THE ROLE \n The Motion Editor will focus on concepting, creating and editing moving image content for Jimmy Choo’s various channels - from campaigns, social media, editorial, marketing assets and company films. You will be a skilled visual storyteller and brand champion, a creative problem-solver, capable of juggling multiple briefs at any one time. You will help to shape Jimmy Choo’s moving image content and use your knowledge to inspire our loyal customers whilst also capturing the attention of potential new customers. This role is ideal for someone who has strong experience in the luxury fashion landscape. \n KEY RESPONSIBILITIES AND DUTIES \n\n • Lead the post-production process/editing on all creative video projects\n, • Oversee that quality is being maintained across all edits within the team, ensuring that our deadlines are met and all deliverables for the website and social channels are exported in the correct specs, sent to the right people and archived in the right folders\n, • Ability to manage and prioritise multiple projects in a fast-paced environment and meet deadlines\n, • Comfortable animator who can create or edit motion graphics in After Effects\n, • Work closely with the Social Media team to develop and create engaging, trend-led content that supports brand and commercial objectives\n, • Optimise video content for platform-specific best practices, audience engagement and performance\n, • Ingest, transcode and prep incoming footage for use in Adobe Premiere projects\n, • Utilise your passion for music and engage your network of libraries and composers\n, • Work closely with the Creative Services team and VP Brand Image\n, • Actively participate in new idea sessions with team and stakeholders\n\n \n SKILLS, EXPERIENCE AND QUALIFICATIONS \n\n • Experience across all areas of editing - including assembly, sound design, colour grading\n, • Ability and confidence to direct projects yourself\n, • Capabilities to self-shoot some projects\n, • Knowledge of live streaming\n, • Experience editing and animating content for Instagram, TikTok, Twitter, Facebook, and YouTube or other online platforms & websites\n, • Good visual communication skills - strong design sense with work to demonstrate\n, • Strong communication skills, both verbal & written\n, • Bachelor’s degree or relevant qualification in a related field\n, • Experience working for a retail/fashion brand or ad agency is a plus\n, • Minimum 5+ years video editing experience\n, • Excellent communication skills and the ability to build strong relationships across the business\n, • Knowledge of developing films and motion graphics using the Adobe Creative Suite, including Adobe After Effects, Adobe Premiere\n, • Knowledge of digitizing/ importing audio and video footage\n, • Keep up to date with the latest trends and techniques in video, film and visual storytelling\n, • A passion for film and excellent references and a keen interest in social media trends are a must\n, • Someone interested in working on a broad range of content\n, • Keen eye for detail\n\n \n CHARACTERISTICS REQUIRED \n\n • Ability to work efficiently in a fast-paced environment to meet tight deadlines\n, • Must be able and willing to work well in a team environment\n, • Self-motivator, creative thinker & problem solver\n, • Excellent coordination, organisation & prioritisation skills\n, • Enjoys working in teams as well as independently\n\n

Project Engineer – Broadcast Headend (Encoding & Multiplexing) \n West London (Hybrid) \n Contract \n Broadcast Engineering | Video Compression | Headend \n Rates Negotiable \n \n Looking to work on one of Europe's largest broadcast platforms? \n \n I'm supporting a leading UK pay-TV broadcaster in the search for a Project Engineer to help deliver projects across its broadcast headend infrastructure. \n \n This is a hands-on engineering role focused on encoding, multiplexing and transport stream technologies, supporting a platform that delivers television services to millions of households across the UK and Ireland. \n \n What you'll be doing \n\n • Deliver end-to-end engineering projects across the broadcast headend, from design through to implementation and operational handover.\n, • Configure and support Ericsson/Tandberg (MediaKind) MX8400/MX400 multiplexers and Harmonic ProStream platforms.\n, • Build, validate and troubleshoot MPEG transport streams, including statistical multiplexing, SI/PSI, EPG data and conditional access.\n, • Plan and implement changes within a live 24/7 broadcast environment.\n, • Produce technical documentation, test plans, and implementation records.\n, • Investigate complex streaming and multiplexing issues using industry monitoring and analysis tools.\n, • Work closely with playout, distribution, satellite, and network engineering teams.\n\n \n What we're looking for \n\n • Experience with Ericsson/Tandberg/MediaKind multiplexers and/or Harmonic ProStream.\n, • Strong understanding of MPEG-2/H.264, DVB standards and transport stream architecture.\n, • Experience delivering engineering projects in live broadcast environments.\n, • Knowledge of conditional access and scrambling workflows.\n, • Experience using transport stream analysis and monitoring tools.\n\n \n Desirable: \n\n • Experience with a broadcaster, pay-TV platform, managed service provider or broadcast technology vendor.\n, • Exposure to IP video transport (SMPTE 2022/2110), multicast or virtualised headend technologies.\n, • Satellite/DTH distribution experience.\n\n \n Why apply? \n You'll join a highly experienced engineering team responsible for one of Europe's most significant broadcast headend estates, working on both existing infrastructure and next-generation platform evolution. It's an opportunity to own technically challenging projects that directly support services watched by millions every day. \n \n Interested? Get in touch for a confidential discussion or apply with your latest CV to receive the full technical brief and client details.

New Contract Opportunity for an eDV Cleared Data Scientist with an Industry-Leading National Security Consultancy in London. \n \n\n • Active eDV Required\n, • Up to £680 p/d Inside IR35\n, • 12-month engagement\n, • Urgent requirement - ASAP start\n, • 5 days on site in central London\n\n \n The Role: \n You will develop mission-critical data solutions for National Security clients. You will contribute to advanced projects across AI, cybersecurity, cloud, big data and digital transformation, helping to shape the future of national security. Working with datasets of varying scale, you will cleanse, integrate and analyse data to enable faster, more informed decision-making that supports the safety of the nation. \n \n Key Responsibilities: \n\n • Design and deliver data science solutions in support of national security operations.\n, • Develop and optimise pipelines to process large, complex datasets.\n, • Apply machine learning and statistical methods to generate actionable insight.\n, • Produce clear visualisations to communicate results to stakeholders.\n, • Work within agile teams to deliver robust, scalable systems.\n, • Support cloud deployments and integration into live operational environments.\n\n \n Seeking Experience in most of the following: \n\n • Python or similar scripting languages for data exploration and preparation.\n, • Machine learning and statistical methods, including model validation.\n, • Data analytics and visualisation techniques.\n, • Processing large datasets using batch or streaming tools such as Apache Spark.\n, • Data acquisition and fusion approaches.\n, • Cloud platforms (ideally AWS) and cloud-based data science solutions.\n, • DataOps principles and practices.\n, • Structured and unstructured databases.\n, • Container technologies, including Docker and Kubernetes.\n, • Agile delivery methods.\n, • Software engineering best practice, including version control and CI/CD pipelines.\n, • Linux environments.\n\n \n Why Apply? \n\n • Work on mission-critical UK Government projects with real-world impact\n, • Join a leading consultancy known for innovation and technical excellence\n, • Long-term engagement with competitive day rate and secure on-site environment\n\n

\n Global Banking Markets - Software Engineer, Data Platform - London - Vice President Job Description\n GLOBAL MARKETS \n Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor. \n Job Description \n Data Platform team is responsible for platform architecture development to provide scalable, resilient, performant, adaptable stack that meet the evolving needs of different business lines globally. \n As a senior member of team & owner of core system in post-trade stack, will be responsible for full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring. We expect high degree of ownership, adaptability to embrace newer technologies and adherence to high degree of software quality. Responsibilities\n \n • Design, build and maintain a high-performance, high-availability, high-capacity, scalable, near real-time yet nimble and adaptive platform for processing & persisting high volumes of business critical data and distribute it to downstream applications post-trade processing.\n, • Develop highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems.\n, • Design distributed computation infrastructure to run parallelized queries over large volumes of data.\n, • Design and develop an AI-powered UI/agent framework that delivers intelligent analytics and insights over the data we process and hold, enabling users to interrogate and derive value from large-scale datasets.\n, • Communication with business, client applications, Regulatory & Compliance teams about new feature requests, explanation of existing features etc.\n Required Qualifications & Skill-Sets\n \n, • About 5-10 years of professional experience developing high performance, low latency systems ( sub-seconds )\n, • Ability to contribute & drive on complex industrial scale development of systems independently\n, • Thorough knowledge of Java programming concepts\n, • Strong knowledge of object oriented programming, data structures, algorithms and design patterns\n, • Experience in Developing High Available, Low Latency systems with low foot-print – awareness of JVM internals, performance optimizations, concurrency, tuning for low-latency, GC-free real-time operation\n, • Exposure to stack like HDFS/S3, SingleStore, Kafka/Streaming Message System, Flink/Distributed Processing, Java/Scala\n, • Strong communication skills and the ability to work in a team and at the same able to drive things independently\n, • Strong analytical and problem solving skills\n ABOUT GOLDMAN SACHS\n At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. \n We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. \n We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html \n Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info\n \n • Job Identification 180703\n, • Job Category Vice President\n, • Posting Date 08/03/2026, 03:04 PM\n, • Locations London, Greater London, England, United Kingdom\n Healthcare & Medical Services\n We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally Benefits\n \n • We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.\n, • We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.\n, • We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.\n, • To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).\n, • We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.\n, • Read more about the full suite of class-leading benefits our firm has to offer.\n, • Learn More\n \n #J-18808-Ljbffr

Senior Product Manager, Data Business | PE-backed, profitable, scaling fast. Turn a world-class data set into a data business. \n \n Turn world-class intelligence into products the smartest money in the world pays for \n We're partnering with a profitable, private equity-backed data intelligence business that is opening up its proprietary data to an entirely new kind of customer. Hedge funds, investment banks and analysts making high stakes, high value calls, who need the best data in the market to make them. \n \n The intelligence is already exceptional. The opportunity now is to package it, price it, and pipe it directly into the workflows of the world's most sophisticated financial users. That's the job. This is a hands on, high ownership role for someone who has genuinely sold data before and wants to build a data business from the inside, with the autonomy of an early build and the stability of a company that is already very profitable. \n \n What you'll own \n \n You'll own the data product strategy end to end. How the data gets packaged into products people pay for, how it's priced, and how it's delivered through modern channels like APIs, data sharing and connectors. \n \n You'll spend real time with customers in London, work closely with a product and engineering team based in Europe to turn what you learn into shipped product, and help stand up the commercial plumbing behind it all, from usage metering to billing. \n \n By the end of your first year, success looks like real paying customers live on the new data products, with the next one already in build. \n \n What we're looking for \n \n\n • You've built and commercialised actual data products. Streaming APIs, data feeds, data sharing setups, the real thing, not just a web app with a dashboard.\n, • You've owned pricing. You understand how data gets packaged, sold and billed, and you've done it, not just watched it happen.\n, • You've worked inside a data or market intelligence business. Think financial data vendors and intelligence providers. You know how these products are set up and how sophisticated customers actually use them.\n, • You're autonomous. You can operate as the person on the ground, running your own discovery, outreach and priorities without waiting to be told.\n, • You use AI fluently in how you work, and you're strong on the fundamentals: customer discovery, validation, and fast iterative prototyping.\n, • Insurance or specialist-market knowledge is a nice-to-have, not a requirement. The data mindset matters far more.\n\n \n The details \n \n\n • Seniority: Senior Product Manager, roughly 6+ years in product with significant time on data products\n, • Location: London, hybrid, around 2 days a week in the office and out meeting customers\n, • Travel: Regular trips to the wider product and engineering team in Europe, roughly monthly at first, easing off after you've embedded\n, • Reporting to: The Product and Engineering Lead, who reports to the CEO\n\n \n We champion the best people, regardless of background \n \n We know that exceptional product managers come from all walks of life and that great talent doesn't always fit into a neat set of bullet points. If you are a passionate builder who cares deeply about AI engineering and user craft, we want to hear from you. Please apply even if you don't match every single preferred criteria listed above.

dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.Joining the AI Strategy, Research & Enablement team, you'll help shape the future of AI across the organisation. Working at the intersection of cutting-edge research and real-world commercial application, you'll turn innovative ideas into scalable capabilities that influence products, platforms, and long-term strategy. You'll collaborate with senior leaders and contribute to decision-making across data science, engineering, and product, helping to prioritise and advance the right AI investments for the future.We're looking for a Senior Research Data Scientist to play a key role in developing dunnhumby's next-generation models across a range of strategic AI initiatives. As part of this newly formed team, you'll focus on advanced modelling, long-term capability building, and cross-industry collaboration. You'll design new approaches, build and test prototypes, support engineering teams with productionisation, and contribute to partnerships with academia and external research organisations.What you'll be doing:Drive the design, experimentation, and evaluation of transformer-based models on retail based challenges.Explore innovative architectures (e.g., sequence-to-sequence models, causal transformers, hybrid retrieval + transformer approaches) to deliver step-change improvements in personalisation, recommendations, and forecasting.Develop research-grade prototypes and collaborate with engineers to translate them into scalable, production-ready solutions.Conduct forward-looking research on generative AI, multimodal learning, and representation learning.Identify emerging AI/ML techniques with high potential for retail and consumer analytics, shaping conceptual prototypes and feasibility assessments.Drive internal thought leadership by defining standards, sharing knowledge, and advising product, engineering, and data science teams on ML adoption and best practices.Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications.Mentor other data scientists and contribute to growing organisational capability in deep learning and advanced ML.Partner closely with internal teams to ensure research pathways are aligned with available tooling and future platform strategy.Document best practices and contribute to reusable assets, libraries, and internal frameworks.What we expect from you:Expertise in transformer architectures (e.g., BERT, GPT, T5, Time Series Transformers).Strong hands-on experience with modern deep learning frameworks (PyTorch preferred).Solid grounding in machine learning fundamentals and statistical modelling.Familiarity with distributed training and GPU acceleration.A track record of delivering impactful models in production or research settings.Ability to take ambiguous research ideas and shape them into structured investigations or prototypes.Curiosity and a learning mindset - tracking state-of-the-art advancements and evaluating their relevance.Strong data manipulation and engineering skills (e.g., PySpark, SQL, cloud-based data tooling).Strong communication skills, capable of explaining complex ideas to technical and non-technical audiences.Collaborative approach to working with ML engineers, product managers, academic partners, and leadership stakeholders.A passion for turning cutting edge modelling ideas into practical business impact.A mindset that blends scientific curiosity with real-world pragmatism.Enthusiasm for shaping the next generation of AI capabilities at dunnhumby, both through hands-on modelling and strategic influence.Nice to haveExperience in retail, CPG, recommendations, or customer behaviour modelling.Engagement with academic research (publications, workshops, industry collaborations).Familiarity with vector databases, embeddings, and retrieval techniques.Experience Working on large datasets (efficient loading, batching, and streaming) and related tooling (PySpark preferred).What you can expect from usWe won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.Our approach to Flexible WorkingAt dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)TPBN1_UKTJ

An exciting opportunity has arisen for an experienced Audio Visual Technician to join the onsite technical team at a prestigious, high-profile venue in Central London. Working as part of an established AV and events team, you will provide professional technical support across a busy environment encompassing meetings, conferences, presentations, hybrid sessions and live events. This is a hands-on position involving the setup, operation and maintenance of professional audio, video, lighting, conferencing and event production technology, alongside providing a first-class service to clients and internal stakeholders. Salary: Up to £34,5000 The Role As Audio Visual Technician, you will: -Set up, operate and dismantle professional AV equipment for meetings, conferences and live events. -Provide technical support across meeting rooms, conference spaces and larger live event environments. -Complete daily checks of AV-equipped rooms to ensure systems are fully operational and ready for use. -Provide first-line technical assistance to clients, including laptop connectivity, presentation systems, displays, Wi-Fi and video conferencing. -Set up and operate fixed and portable AV equipment across multiple event spaces. -Operate digital audio mixing consoles and set up wired and wireless microphone systems. -Provide audio feeds and technical support for filming and camera crews. -Support professional projection, video switching, PTZ camera and presentation systems. -Assist with video conferencing, hybrid events, live streaming and recording requirements. -Work alongside IT and technical teams regarding networking, LAN connectivity and event technology requirements. -Support lighting requirements, including DMX-controlled and automated lighting systems. -Move and allocate AV equipment between event spaces depending on operational requirements. -Assist with AV equipment inventory, stock control and general equipment management. -Troubleshoot AV faults and technical issues quickly and effectively. -Liaise with clients before and during events to understand and deliver their technical requirements. -Work alongside and provide technical guidance to third-party AV, production and staging contractors. -Maintain technical areas, equipment stores and AV control rooms to a professional standard. -Follow Health & Safety procedures and support the completion of risk assessments and safe working practices. -Identify and report technical, operational and safety issues when required. -Contribute to the continuous improvement of AV services, systems and event delivery. About You We are looking for someone with a strong technical AV background combined with excellent customer service skills. You will ideally have: -Professional experience working as an AV Technician, Event Technician, Venue Technician or similar. -Proven experience setting up and dismantling AV equipment within live event environments. -Strong knowledge of professional audio, video, projection and conferencing technology. -Experience operating digital audio mixing consoles. -Experience setting up wired and wireless microphone systems. -Knowledge of professional projection and video switching systems. -Experience operating PTZ camera systems. -Good understanding of video conferencing and collaboration technology. -Knowledge of live streaming, filming or recording workflows would be advantageous. -A good understanding of IT connectivity and LAN/networking fundamentals. -Knowledge of DMX and automated lighting systems. -Strong technical troubleshooting and fault-finding skills. -An understanding of Health & Safety requirements within an AV or live events environment. -Experience with risk assessments and safe systems of work. -Excellent communication and customer service skills. -The ability to remain calm and resolve technical problems in time-sensitive live environments. -Strong organisational skills and attention to detail. -The ability to work independently while contributing effectively as part of a wider technical team. Working Environment This is a hands-on, client-facing position within a busy professional events environment. You will regularly support a mixture of corporate meetings, conferences and live productions, so no two days will be exactly the same. Due to the nature of events, flexibility will be required around working hours, which may occasionally include early mornings, evenings and weekends. This is an excellent opportunity for an AV professional looking to develop their career within an established technical team while gaining exposure to a broad range of professional AV and live event technologies.

Senior Media Engineer – Post-Production Support Location: London – Hybrid Contract: 12 months Pay rate: £352 per day PAYE Working pattern: Full-time, with occasional evening, weekend and out-of-hours support We are recruiting an experienced Senior Media Engineer to support the post-production and live editorial operations of a leading global entertainment and streaming organisation. This role will sit within a specialist Post Production Services team responsible for supporting advanced editorial environments, media workflows, file-transfer processes and production technology used across film, television and live content. The successful candidate will combine strong post-production knowledge with hands‑on technical troubleshooting, excellent stakeholder support and the ability to remain calm in fast-moving production environments. • Provide high-quality technical and operational support to production, editorial and post-production users., • Troubleshoot issues affecting media workflows, file transfers, editorial tools and post-production services., • Monitor automated file transfers, production systems and workflow health through central operational dashboards., • Proactively identify and resolve technical issues before they impact productions., • Support footage ingest and automated ingest workflows., • Provide specialist support for media library, dailies, VFX pulls, conform pulls and review and approval processes., • Investigate failed or delayed media transfers and coordinate remediation., • Support live editorial and remote production environments., • Maintain clear documentation covering incidents, recurring issues, fixes and operational procedures., • Collect feedback from production users and identify opportunities to improve tools and workflows., • Partner with Product and Engineering teams to prioritise bug fixes, troubleshooting tools and service improvements., • Support the testing, deployment and adoption of new production technology., • Collaborate with regional Production Technology teams and provide local workflow knowledge and production context., • Escalate complex issues appropriately and manage them through to resolution., • At least three years’ experience in post-production support, media engineering, studio or network support, or process management within a post-production vendor., • Strong understanding of content creation, on-set production and post-production processes., • Experience supporting editorial or media production environments., • Knowledge of dailies, media ingest, VFX pulls, conform processes and review and approval workflows., • Experience troubleshooting complex media, file‑transfer or production technology issues., • Strong stakeholder communication and client‑service skills., • Ability to work independently and make decisions in high‑pressure environments., • Strong organisational, prioritisation and incident‑management skills., • Willingness to support productions outside standard office hours when required. Experience with a selection of the following tools and technologies is highly desirable: • Avid Media Composer, • Adobe Premiere Pro, • FilmLight Baselight, • Colorfront OSD, • Autodesk PIX, • Flow Capture, • Aspera, • Remote editorial and PCoIP technologies, • Live streaming and live editorial workflows, • Command-line tools, • APIs and basic API interaction Candidates should also have an understanding of: • JSON, XML and CSV data formats, • ALE, EDL, FDL and MHL/ASC‑MHL standards, • Colour science within editorial and post‑production workflows, • Local storage, shared storage, SAN and cloud‑storage environments, • Automated media‑transfer and content‑management workflows You will be: • Calm and solutions‑focused under pressure, • Proactive in identifying and preventing production issues, • Comfortable supporting demanding creative and technical stakeholders, • Able to explain complex technical issues clearly, • Highly responsive and service‑oriented, • Adaptable and quick to learn new tools and workflows, • Comfortable working independently and as part of a global team, • Available for occasional night, weekend and out‑of‑hours support This is an excellent opportunity for a media engineering or post‑production technology specialist to support high‑profile content within a technically advanced global production environment. #J-18808-Ljbffr

This job is with BBC, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. JOB DETAILS JOB BAND: D CONTRACT TYPE: Permanent, Full-time DEPARTMENT: Digital Distribution LOCATION: London Broadcasting House - Hybrid (1 Day per week) PROPOSED SALARY RANGE: £65,000 - £75,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. PURPOSE OF THE ROLE Media Distribution Analytics is the team that knows what your streaming experience was while watching Wimbledon on iPlayer or listening to your favourite podcast on BBC Sounds. The BBC's future is dependent on delivering content to an ever-growing online audience and setting the industry standard for a world-class on-demand and live streaming experience. That means playing content back flawlessly and offering the best quality media to our audience, so that we continue to deliver news, entertainment and the UK's most prestigious live events that delight our audiences. To achieve these goals the Media Distribution Analytics team develop the data products and pipelines that ingest, measure and visualise the audience experience and allow us to take action, often in real-time, in addition to informing long term capacity requirements and performance. This is a data engineering team that processes enormous quantities of data, and works closely with device playback and the BBC's own Content Distribution Network team (BIDI), as well as third party network suppliers, to help make the online streaming experience the best it can possibly be. WHY JOIN THE TEAM Joining the Media Distribution Analytics team as a senior product manager is a chance to work on high-impact, real-time data systems that improve how millions experience BBC content. You'll work with experienced engineers, building scalable data pipelines, and working with customers across the BBC to negotiate and deliver their requirements. This is a unique opportunity to grow your skills while shaping the future of online media distribution at the BBC. YOUR KEY RESPONSIBILITIES AND IMPACT: • Work with the engineering team and users to define the roadmap for our Distribution analytics data products, • To champion and be accountable for data quality and operational excellence across all the team's systems, from every-day situations to huge live events, • To build and manage relationships with internal stakeholders across architecture, operations and playback teams, keeping an ear to the ground and proactively seeking out new use cases and user requirements, • Collaborating with external stakeholders from public clouds and CDNs YOUR SKILLS AND EXPERIENCE ESSENTIAL CRITERIA: • Experience of delivering large scale operational analytics data products, • Ability to work and lead in a technical domain, understanding streaming data pipelines and the challenges of building and managing them, • Experience of using statistical methods to understand and derive meaning from large data sets, • Prioritisation skills balancing cost and performance against new features and requirements for a platform, • Experience working with external vendors in the streaming media domain DESIRABLE: • Some hands-on experience delivering with batch or streaming data products using tools like Spark, Kafka, or Flink., • Familiarity with cloud services (e.g., AWS, GCP, or Azure), • Familiarity with using data querying tools, including SQL, to meet evolving user needs, • Experience using data visualisation tools (e.g Looker, Grafana, or PowerBI) to communicate insights from data to both technical and non-technical customers Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Contracts of Employment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer.

This job is with Wise, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about and . About the role: We are looking for an IC3 Machine Learning Engineer to join our Risk ML and Intelligence team. In this role, you will be key to enabling the building of our machine learning models by focusing on the label side, building the integrity layer for our label platform. Every machine learning model at Wise learns from two core components: features (user signals) and labels (historical tags for activity like money laundering or fraud). If our labels are inaccurate, our models learn the wrong behavior. You will be responsible for label side quality, label monitoring, statistical integrity, and designing robust audit processes to ensure our ML infrastructure learns from clean, reliable data. How we work: At Wise, we operate with autonomous, cross-functional teams that put the customer first. We believe strong engineers can learn and adapt across tech stacks, so our interview and pair programming evaluations are language-agnostic (focused on Python or Java), allowing you to solve complex technical problems in the environment you are most comfortable with. What will you be working on?: Building, scaling, and maintaining the integrity layer of our label platform for Risk ML models. Defining, implementing, and monitoring statistical fundamentals and key quality metrics for data and labels. Designing automated audit processes to evaluate and monitor label quality over time. Working end-to-end on machine learning model training, evaluation, and pipeline deployment. Collaborating closely with cross-functional partners across Risk Intelligence, Data Engineering, and Product. Qualifications What do you need?: Education: A degree in STEM (Computer Science, Mathematics, Statistics, Physics, Chemistry, Electrical Engineering, or a related quantitative field). Statistical Integrity: Strong mathematical and statistical fundamentals with a proven track record of applying statistical analysis to complex data environments. ML Lifecycle Expertise: Hands-on experience working across model training, evaluation, and deployment (utilizing frameworks around Machine Learning, AI, Neural Networks, or NLP). Programming Skills: Strong proficiency in Python or Java for data scripting and production engineering, alongside advanced SQL capability. Data Fundamentals: Solid hands-on experience building static data pipelines, conducting deep-dive data analysis, and using data visualization tools to understand statistical behavior. Nice to Have: Proven success in competitive machine learning environments or platforms (e.g., Kaggle, KDD competitions, or Google Summer of Code / GSoC). Experience with specialized ML architectures such as Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), or Transformers/LSTMs. Familiarity with real-time streaming data pipelines (e.g., Kafka). Domain experience within Fintech, E-commerce, or fast-scaling tech companies. Additional Information Interested? Find out more: _ DEI @ Wise Wise Tech Stack (2025 update) See what it's like to work at Wise London! Our Engineering career map Wise Engineering – _ What do we offer: Starting salary: £87,500 – £111,000 + stock equity grants (RSUs vesting over 4 years) + benefits. Wise Benefits Interested in more than one role? If you're interested in multiple roles, please apply for just one—the one you're most excited about. If you submit multiple applications requiring the same assessment, we'll continue your recruitment journey using your first application, and any duplicate applications will be automatically closed. This helps ensure a fair and consistent interview process. If another role feels like a better fit, you can discuss this with your recruiter during the process. #LI-AB3 #LI-Hybrid For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit _. Keep up to date with life at Wise by following us on and .

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. Location: London Victoria Office Work Pattern: Hybrid (4 days office, 1 day remote) Team: Flow (Core AI Infrastructure) Flow is our internal AI agent platform. This isn't a basic chatbot bolted onto a help center; it is core agentic infrastructure that reaches across our data warehouse, services, and central systems to execute complex work on behalf of the business. Flow powers both internal and client-facing workflows, delivering true automation and replacing traditional ticketing queues with instant, intelligent actions. We are looking for a Senior Full-Stack Engineer to help us transition Flow from a fast-moving internal product to durable, productionized platform infrastructure. You will own complex features end-to-end—including agent workflows, reasoning UIs, and cross-system integrations—while raising the engineering bar and shaping the technical direction of a small, autonomous team. This role sits at the intersection of agentic AI and live operational workflows within a regulated fintech environment. The surface area is the entire company, and your impact will be visible within weeks. Build Action-Oriented Agent Workflows: Design multi-step orchestration, tool use, and retrieval grounded in our data stores using the Strands Agents SDK. Architect End-to-End Features: Own development across a React/TypeScript frontend and Python/FastAPI backend, balancing rapid iteration with platform maintainability. Own the Reasoning Layer: Extend our Chain-of-Thought UI to ensure explainability. In a regulated environment, showing why an agent made a decision is a core feature, not a nicety. Make Agents Measurably Reliable: Build and extend our evaluation harness ( Ragas ) and observability platform ( Langfuse , with session continuity) so we ship changes based on evidence, not vibes. Define Evaluation Strategies: Build custom evaluators, datasets, benchmarks, and automated regression suites to catch quality regressions before they hit production. Integrate Systems & Clouds: Connect internal APIs, data warehouses, email, and cross-cloud GCP/AWS services with robust error handling and distributed tracing. Industrialize Prototypes: Drive the discover → industrialize → productionize lifecycle, turning promising AI prototypes into hardened, daily-deployed services on CD pipelines. Mentor & Lead: Uplift mid-level engineers through code reviews, pair programming, and establishing scalable engineering patterns. Collaborate Cross-Functionally: Partner with Product, Ops, Trading, and Treasury to identify high-value workflows worth automating (and ruthlessly deprioritize the ones that aren't). Frontend React, TypeScript Micro-frontend architecture Chain-of-Thought / Agent-reasoning UI Vite, Vitest Backend & AI Python, FastAPI Strands Agents SDK (Agent Orchestration) AWS Bedrock RAG / Advanced Retrieval Ragas (Evaluation), Langfuse (LLM Observability) Infrastructure AWS (ECS Fargate, Lambda, API Gateway, S3) with cross-cloud GCP integration Terraform, GitHub Actions Docker Event-driven integration patterns Must-Haves 5+ years of professional software engineering experience. Strong Python Backend Expertise: Deep experience with FastAPI (or Django/Flask), asynchronous programming, clean architecture, and writing production-grade code. Strong React & TypeScript Skills: Ability to architect non-trivial frontends with sound state management, performance optimization, and comprehensive testing. System Design Judgment: A proven track record of designing scalable, maintainable systems and clearly articulating architectural trade-offs. API & Integration Skills: Proficiency with REST, streaming ( SSE/WebSockets ), and the real-world complexities of stitching together messy upstream systems. Data Proficiency: Strong SQL/NoSQL skills, query optimization, and data modeling. Testing & Ownership Mindset: You treat testing as a core part of the development lifecycle and proactively drive features from ambiguous ideas to production. Excellent Communication: Ability to explain technical decisions to both engineers and non-technical stakeholders, alongside a passion for writing useful documentation. Nice-to-Haves Agentic AI Experience: Hands-on experience with agent orchestration (Strands, LangGraph, AutoGen, or similar), RAG, tool use, and context engineering. Production LLM Systems: Familiarity with LLM observability (Langfuse), evaluation (Ragas), token/cost management, and reliability patterns. AWS Depth: Experience with Lambda, ECS, Bedrock, or equivalent cloud services (cross-cloud exposure is a major plus). Event-Driven Architectures: Experience with event streaming and message brokers. Regulated Environments: Experience working within fintech, compliance, or similar sectors with strict data-residency and auditability constraints. Micro-frontends & IaC: Experience with micro-frontend architecture and Infrastructure as Code (Terraform/CDK). About us Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 1,800+ Eburians across nearly 70 cities and we’re always looking to add to our team. At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage. The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars. We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.

Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor. Data Platform team is responsible for platform architecture development to provide scalable, resilient, performant, adaptable stack that meet the evolving needs of different business lines globally. As a senior member of team & owner of core system in post-trade stack, will be responsible for full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring. We expect high degree of ownership, adaptability to embrace newer technologies and adherence to high degree of software quality. • Design, build and maintain a high-performance, high-availability, high-capacity, scalable, near real-time yet nimble and adaptive platform for processing & persisting high volumes of business critical data and distribute it to downstream applications post-trade processing., • Develop highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems., • Design distributed computation infrastructure to run parallelized queries over large volumes of data., • Design and develop an AI-powered UI/agent framework that delivers intelligent analytics and insights over the data we process and hold, enabling users to interrogate and derive value from large-scale datasets., • Communication with business, client applications, Regulatory & Compliance teams about new feature requests, explanation of existing features etc., • About 5-10 years of professional experience developing high performance, low latency systems ( sub-seconds ), • Ability to contribute & drive on complex industrial scale development of systems independently, • Thorough knowledge of Java programming concepts, • Strong knowledge of object oriented programming, data structures, algorithms and design patterns, • Experience in Developing High Available, Low Latency systems with low foot-print – awareness of JVM internals, performance optimizations, concurrency, tuning for low-latency, GC-free real-time operation, • Experience in Distributed, Stream processing systems handling large volume ( big data ) in near real-time, • Exposure to stack like HDFS/S3, SingleStore, Kafka/Streaming Message System, Flink/Distributed Processing, Java/Scala, • Strong communication skills and the ability to work in a team and at the same able to drive things independently, • Strong analytical and problem solving skills At the company, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html The the company Group, Inc., 2023. All rights reserved. the company is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. • We offer Best-In-Class BenefitsHealthcare & Medical Insurance, • We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance., • We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year., • We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities., • We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices., • To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount)., • We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at the companyRead more about the full suite of class-leading benefits our firm has to offer.Opportunity OverviewsitemapoutlineCORPORATE TITLEVice PresidentlanguageOFFICE LOCATION(S)LondonassignmentJOB FUNCTIONSoftware EngineeringaccountbalanceDIVISIONGlobal Banking & Markets #J-18808-Ljbffr

This job is with eBay, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the Team and the Role eBay Live is redefining the shopping experience by bringing real-time, interactive, and curated live events to buyers worldwide. From collectibles and fashion to luxury goods and sports memorabilia, we're connecting communities with sellers and creators through innovative, engaging live programming. As a Live Producer, you will be responsible for accomplishing and optimising live shopping events, ensuring seamless production, seller collaboration, and audience engagement. You will have operations and production experience, but also strong customer empathy, and communication skills. You will be required to work with cross-functional teams, including marketing, product, and data science. What You Will Accomplish Support and lead all aspects of the end-to-end production of eBay Live shopping events, ensuring seamless execution and engaging viewer experiences Support in creation of processes, playbooks, and cross functional shareouts regarding Live programming Lead live video and audio production, including RTMP streaming operations involving OBS Studio, HDMI/SDI/ NDI camera operations, and the native eBay Live Platform, networking, and RTMP streaming setups Collaborate with category managers, sellers, and hosts to curate compelling live shopping events aligned with eBay's e-commerce goals Track and analyze key performance metrics such as GMV, viewer engagement, returning buyers, and event saves to optimize event strategies Identify and implement process improvements to improve the efficiency, scalability, and quality of eBay Live events Work with marketing teams to develop pre-show promotions, push notifications, and event branding to improve reach and connection with the audience What You Will Bring 2-3 years of experience in live video production, event management, or e-commerce content production Strong understanding of live streaming technologies, including video switching, OBS Studio, RTMP setups, and NDI networking Excellent communication and relationship-building skills to collaborate effectively with sellers, hosts, and cross-functional teams Data based approach to decision making Passion for live commerce, digital media, and delivering engaging and innovative shopping experiences Some weekend work and travel may be required #LI-SI1 #LI-Hybrid Additional Details eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our ,, and _.

We serve ByteDance's core business scenarios at massive scale — recommendation, search, ads, e-commerce, messaging, live streaming, and collaboration suites — with strict requirements on availability, latency, throughput, global deployment, and cost efficiency. Responsibilities- Design and devel

A leading technology organisation is seeking an experienced Senior Software Engineer to join a team responsible for developing and supporting critical software applications used to monitor, analyse, and optimise large-scale operational systems. This is an exciting opportunity for a hands-on engineer to work on real-time data platforms, operational tooling, and service assurance solutions that provide valuable insights into complex network environments. You will play a key role in designing, developing, and maintaining software that supports business-critical operations, working closely with engineering teams, product stakeholders, and operational users. The role combines software development, system integration, troubleshooting, and continuous improvement, making it ideal for someone who enjoys solving complex technical challenges and delivering reliable, scalable solutions. Key Responsibilities Develop, enhance, and support software applications used within operational environments. Design and implement new features based on user and business requirements. Work closely with engineering teams to understand system architectures and ensure effective monitoring and data collection capabilities. Analyse system performance, troubleshoot issues, and support operational teams with fault diagnosis. Participate in software design, code reviews, testing, and documentation activities. Collaborate with internal stakeholders, product teams, and third-party suppliers to deliver effective solutions. Support the ongoing maintenance and improvement of operational systems. Identify opportunities to improve processes, tooling, and software reliability. Contribute to the full software development lifecycle, from requirements gathering through to deployment and support. Provide technical support for live operational systems, including occasional on-call responsibilities. Experience Required Degree in Computer Science, Software Engineering, or a related technical discipline. Strong hands-on experience developing software using Java within a real-time operational environment. Strong experience with JavaScript and Node.js development. Experience working with both Windows and Linux operating systems. Good understanding of IP networking and experience troubleshooting network issues using tools such as Wireshark or similar. Experience working with event streaming technologies such as Kafka. Strong understanding of the full software development lifecycle. Experience producing high-quality, maintainable, and reusable software within a collaborative engineering environment. Understanding of object-oriented analysis, design principles, and common design patterns. Strong communication skills with the ability to collaborate effectively across technical and non-technical teams. Awareness of software and network security best practices. Experience producing clear technical documentation to support ongoing development and operational support. Desirable Experience Real-time monitoring or service assurance platforms. Large-scale distributed systems. Data analysis and operational dashboards. Network management or telecommunications environments. Supporting production systems within a 24/7 operational environment. The Ideal Candidate You will be a proactive and curious engineer who enjoys understanding complex systems, identifying improvements, and developing practical solutions. You will have strong technical ownership, excellent problem-solving skills, and the ability to work collaboratively across engineering and operational teams. This is an opportunity to contribute to highly visible software platforms that support critical services while working within a technically challenging and collaborative engineering environment. Benefits Hybrid and flexible working arrangements. Competitive salary and comprehensive benefits package including annual bonus. Pension scheme and private healthcare. Professional development and training opportunities. Opportunity to work on cutting-edge satellite technologies. Collaborative engineering culture with exposure to complex international programmes. TT

Senior Google Cloud Architect Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As Senior Google Cloud Architect, you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation ai products. This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science. Successful candidates will bring multiple years' experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms. What You'll Do Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers. Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects. Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic's capabilities and methodologies. Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence. Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements. Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance. Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders. Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives. Knowledge Sharing: Contribute to Datatonic's internal knowledge base, including technical collateral and thought leadership materials. Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers. Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively. Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation.What You'll Bring Educational Background: Bachelor's or Master's degree in Computer Science or a related technical discipline. Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures. End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions. Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence. Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals. Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels. Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals. Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking. Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects. Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code. Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. Bonus Points If You Have: Certifications: Google Cloud or AWS Certified Solutions Architect certification. ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink. Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc. Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik. Agile Methodologies: Familiarity with Agile frameworks, including Scrum. Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred. Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation.What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday: 25 days plus bank holidays (obviously!) Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation) Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice) Hybrid Model: 1200 kr WFH Equipment Allowance (after probation) Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: Private Salary Sacrifice Pension available Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website

MB977: Senior Technical Manager Location: Chessington and/or Islington - plus hybrid opportunity Salary: £47,500 - £55,000 subject to experience (Up to £62,000 with commission and bonus) Working Hours: Monday to Friday (with occasional weekends) Additional Company Benefits: Private medical insurance, season ticket loans, free railcard, EV car scheme, training and development, Bike2Work scheme, Company social events, and contributory pension scheme. Overview: First Military Recruitment is proudly working in partnership with a fantastic Events Management business who are looking to recruit a Senior Technical Manager on a permanent basis due to growth. Success as a Venue Technical Manager will require strong leadership skills to direct and manage other technical personnel. Beyond technical prowess, the essence of this role lies in forging enduring relationships, especially with the venue’s in-house events team. Your ability to foster trust and rapport will be the cornerstone of your success. This is an important role that provides an interface between technical and commercial requirements with responsibility for the planning and on-site delivery of a variety of events to ensure the smooth delivery of projects. Predominantly, these events will be some of the larger, more complex and technically challenging events in Aztec’s portfolio. Often these events have more than one distinct areas for delivery and so you will be expected to manage and oversea Technical Managers in each area, taking overall responsibility for technical production of whole event. Ultimately, your success will be demonstrated by the creation and successful execution of seamless events. The Senior Technical Manager is also expected to contribute to the professional development, technical proficiency, and safety compliance of the technical team. You will be tasked with evaluating performance, identifying skill gaps and developing training pathways to ensure that employees can reach their full potential and are well equipped to adhere to best practices in a fast paced environment. You may currently be working as an AV Project Manager or technical manager in live events, looking to make the next move in your career. This role requires a strong technical background, with an all-round knowledge of using audio-visual equipment in the live corporate/exhibition environment. A reasonable knowledge of virtual events and associated streaming/platforms would also be useful. Duties and responsibilities: You will be responsible for planning, managing and overseeing technical, scenic and LED installations, including the rigging, at events taking responsibility for their implementation on site and subsequent safe removal in live events. You will advise Account Managers and Technical Managers on more complex technical elements of live events You will be accountable for producing technical schematics, cable calls and floor plans You will play a prominent role within the company, engaging in client and project development processes and assisting with pitching for new business alongside the account manager when required You will help to calculate and plan crew and logistics in conjunction with the Operations Department, including technical crew, local crew, and vehicles. You will liaise closely with other members of the Technical department to assist in the development of training programmes You will produce relevant health and safety documentation You will be proactive in keeping up to date with the latest AV technologies, rigging, power and safety procedures Qualifications and experience: Previous extensive experience as a live event AV technician and, subsequently, as technical/project manager; this might be as an employee of an events AV company, within a venue, or, as a freelancer. End-to-end technical project management experience in live events. Good understanding of event power, cable runs and event-based health and safety CAD skills (deciphering and creating) in Vectorworks or equivalent CAD program Ability to confidently calculate lens throws, lighting angles, weight loads, speaker dispersion, power draws, sight lines, floor load restrictions etc Ability to troubleshoot and problem solve technical and other project related issues under pressure Good IT skills including being competent with Microsoft Office (Word, Excel and PowerPoint) A professional and courteous manner, able to radiate calmness and confidence under pressure Good written and verbal communication MB977: Senior Technical Manager Location: Chessington and/or Islington - plus hybrid opportunity Salary: £47,500 - £55,000 subject to experience (Up to £62,000 with commission and bonus) Working Hours: Monday to Friday (with occasional weekends) Additional Company Benefits: Private medical insurance, season ticket loans, free railcard, EV car scheme, training and development, Bike2Work scheme, Company social events, and contributory pension scheme