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About Refractal Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous. Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research. Today, we work with governments and organisations that can't afford to get security wrong. We're backed by leading deep-tech and cybersecurity investors and are growing the team to deliver on this mission. The role You'll build Refractal's data foundation, including the evidence store that customers' auditors rely on, the analytics behind compliance reporting and the datasets our models are trained on. What you'll do Design the data model for our append-only, cryptographically signed evidence store. Build the streaming and batch layer that turns ingested activity and detections into queryable data, working with our integrations engineers on schemas. Own data quality, retention, residency and deletion controls for regulated customers. Build training and evaluation datasets with our data scientists and security engineers. Make compliance reporting against the EU AI Act, NIST AI RMF and ISO/IEC 42001 quick to produce from our data. Success in your first six months The evidence store is in production, documented and trusted by customers' auditors. Colleagues answer compliance and detection questions from data you own, without ad hoc work. Training and evaluation data has clear provenance and separation. About you: essential 6+ years in data engineering, owning production pipelines. Strong Python and SQL, with Postgres plus a warehouse or analytics store such as BigQuery or ClickHouse. Experience with streaming (Kafka, Pub/Sub or similar) and orchestration (Airflow, Dagster or similar). Data modelling for audit trails, lineage and multi-tenant isolation. Security-minded handling of sensitive data. Nice to have Data work in banking, insurance or other regulated industries. Experience with UK GDPR and data residency. Our values Radical transparency. We believe the best work happens when everyone feels able to give and receive honest, constructive feedback. Public service. We see AI security as a form of public service. Getting the AI transition right means putting the right infrastructure in place to manage the threats that come with it, and our work helps protect the institutions and services society depends on. Fail fast. We test ideas early, seek feedback and learn quickly. We experiment rapidly and change course when something isn't working, without compromising on security. Pragmatism, not dogmatism. We choose approaches based on how well they solve the problem. That means combining established cybersecurity methods with frontier AI research, questioning our assumptions, and changing our minds when the evidence changes. Compensation and benefits Salary: £80,000–£135,000 Competitive equity to share in Refractal's growth Pension contribution Private medical and dental cover Visa and relocation support Compensation: £80K – £135K • Offers Equity • £80K – £135K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

Worum gehts? Bei Event Inc wollen wir Entscheidungen konsequent auf Basis von Daten treffen. Das gilt von der Go-to-Market-Strategie bis zur Conversion-Optimierung, in Marketing, Sales und Product. Mit Dir bündeln wir die Analysekompetenz an einer Stelle und schaffen eine gemeinsame Datenbasis, auf die sich alle verlassen können. Deine Rolle Als Data Analyst (Mensch) mit dem Schwerpunkt Go-to-Market & Insights bist Du die zentrale Anlaufstelle für Datenanalysen entlang unserer gesamten Wertschöpfungskette. Du bist Teil unseres Product Teams und arbeitest Hand in Hand mit unseren Data Engineers. Du begleitest Maßnahmen von der ersten Exploration über die Empfehlung bis zur Wirkungsmessung. Performance im Blick: Du überwachst laufend unsere GTM-Performance über Marketing, Sales und Product hinweg, von Funnel-Analysen über Kanal-Performance bis zu Conversion-Raten. Zahlen, die etwas bewegen: Du lieferst Ad-hoc-Analysen für unsere Teams, immer mit konkreten Handlungsempfehlungen statt reinen Reports. Von der Idee bis zur Wirkung: Gemeinsam mit den Teams entwickelst Du Hypothesen und übersetzt sie in Experimente und A/B-Tests. Mit Vorher-/Nachher-Vergleichen misst Du, ob Maßnahmen wirklich wirken. Muster erkennen: Du machst Cohort- und Funnel-Analysen über Kundensegmente und Marketplace-Bereiche hinweg (z. B. Pharma vs. Automotive). Mit Win/Loss-Analysen bei Enterprise-Deals lieferst Du wertvollen Input für unser Sales Enablement. Traffic-Kanäle optimieren: In enger Abstimmung mit Marketing, Sales und Product optimierst Du unsere Traffic-Kanäle, z. B. mit Blick auf SEO/GEO-Performance und Content-Wirkung. Reporting smart automatisieren: Zusammen mit einem Data Engineer baust Du eine KI- und automatisierungsgestützte Reporting-Infrastruktur auf. So fließt Deine Zeit in Analyse und Empfehlung statt in manuelle Datenaufbereitung. Schnittstelle mit Gewicht: Du bist die zentrale Datenquelle für GTM-Entscheidungen und arbeitest direkt mit unserem CPO zusammen. Was uns gefällt Fundierte Basis: Du hast ein Studium oder eine vergleichbare Ausbildung in Data Science, Statistik, (Wirtschafts-)Informatik, Mathematik, BWL oder einem ähnlichen Bereich erfolgreich abgeschlossen. Erfahrung, die zählt: Du bringst 2–5 Jahre Berufserfahrung in Data, Business oder Product Analytics mit. Mit Marketing-, Sales- oder Marketplace-Funnel-Metriken und Tracking kennst Du Dich aus. Analytisches Handwerkszeug: Du hast fundierte Kenntnisse in Datenanalyse und Statistik und weißt, wie man aussagekräftige KPIs entwickelt. Daten in Klartext: Du leitest aus Zahlen konkrete, verständliche Empfehlungen ab und vermittelst sie so, dass jedes Team etwas damit anfangen kann. Struktur, auch wenn's voll wird: Du arbeitest eigenständig und behältst den Überblick, auch wenn mehrere Teams gleichzeitig etwas von Dir brauchen. Tech-Neugier: Du verstehst Code und schreibst ihn auch selbst (z. B. Python). Idealerweise hast Du schon mit Coding Agents Analysen erstellt oder automatisierte, KI-gestützte Reportings aufgebaut. Das ist kein Muss, aber ein großes Plus. Was Dir gefällt Teamspirit, der Spaß macht: Freu Dich auf ein motiviertes, hochqualifiziertes Team mit flachen Hierarchien und echtem Zusammenhalt. Dazu gibt's regelmäßige Teamevents wie Afterwork-Drinks auf der Dachterrasse, Culture Nights oder Spieleabende. Sei ein Sparfuchs: Profitiere von exklusiven Rabatten auf Top-Marken und Reisen über PepXpress und Corporate Benefits. Gut versorgt: Natürlich stehen Dir der obligatorische Obstkorb, eine Müslibar sowie kalte und warme Getränke jederzeit zur Verfügung. Individuelle Hardware-Wahl: Du entscheidest, ob Du mit einem Mac oder einem Windows-Gerät arbeitest. Arbeitszeiten: Unsere Kernarbeitszeit ist von 10 bis 17 Uhr. Den Rest gestaltest Du nach Deinem Rhythmus. Büro mit Wow-Faktor: Du arbeitest mit Blick auf die Elbe und einige der schönsten Sehenswürdigkeiten Hamburgs. Pick your Perk: Du wählst 20 € Benefitsy, 20 € Zuschuss zum Deutschlandticket oder 20 € Zuschuss für Urban Sports. Wachstum: Wir fördern Deine Weiterentwicklung mit einem Learning Budget von 300 € pro Jahr. Für später schon heute gesorgt: Du bekommst bis zu 100 € monatlich für Deine Altersvorsorge und Vermögensziele (bAV & VWL). Deine Ansprechpartnerin Hellen, unsere Talent Acquisition Managerin Find Jobs in Germany on Arbeitnow

About THG We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition. Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition. From Manchester to New York, we're powered by a team of over 2500 people who work together, lead by example, and think BIG. With us, you'll go further, faster. What are you waiting for? Location: Icon 1, WA15 0AF About Central Functions Central Functions is formed of the teams and people that serve the entire business. These people are integral to the smooth running of the business; ensuring everyone is paid on time, that materials are sourced and arrive promptly, that we meet our legal obligations and that our health, safety, and security is safeguarded. Why be a Data Engineer (Customer) at THG? As a Data Engineer in the Customer domain, you will support the build and maintenance of the pipelines and data assets that power customer analytics at THG. This is one of two Data Engineer roles in the Customer domain — working closely with the Senior Data Engineer and your fellow Data Engineer to deliver a reliable, well-structured customer data layer that enables analytics across our Beauty and Nutrition businesses. What you'll do: Engineering Delivery Build and maintain data pipelines in the Customer domain under the direction of the Senior Data Engineer Write clean, well-documented SQL and Python code that meets the team's standards Support the monitoring and resolution of pipeline issues Contribute to data quality checks and validation in the Customer domain Learning & Development Develop your understanding of the Customer data domain — CRM, acquisition, identity and marketing data flows Learn and apply engineering best practices Take on increasing responsibility over time Collaboration Work closely with both Data Engineers and the Senior Data Engineer in the Customer team Support analytics teams with data requests and pipeline queries What skills and experience do I need for this role? Essential Some experience or strong foundational knowledge in data engineering — Python and SQL are essential Understanding of data pipeline concepts Curiosity and drive to develop as a data engineer Attention to detail and commitment to accurate, reliable work Ability to work collaboratively within a small team Desirable Experience with GCP, BigQuery or equivalent cloud data platform Exposure to customer or marketing data environments Familiarity with version control (Git) and orchestration tools What's in it for me? Career Development Access bespoke development programmes that have been designed and developed by our in-house L&D team. Continued development through our upskilling programme that is delivered in partnership with an industry-leading training provider. Enhanced Leave 25 days annual leave plus bank holidays. Don't want to work on your birthday? We don't either! Enjoy your day off on us! Enhanced maternity and paternity pay, depending on length of service. Up to 10 days compassionate leave. Buy back up to 3 days each year. Unlock 2 days volunteer leave after 12-months. Wellbeing Support Access face-to-face and virtual appointments with our in-house GP. Access to our subsidised on-site dentist Access our 247 Employee Assistance Programme (EAP) which is provided by Bupa. State-of-the-art on-site gym. Access to our on-site physio. Other Perks Save up to 12% on the cost of personal tech through our salary sacrifice scheme. Subsidised bus pass from Manchester City Centre to our ICON office. Up to 50% staff discount on THG brands. On-site staff shop. Know someone who would be perfect for THG? Refer them and get up to £1000 when they pass their probation. Anniversary gifts when you hit 5 and 10 years of service. THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability. THG is committed to creating a diverse & inclusive environment and hence welcomes applications from all sections of the community. Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG please contact one of our Talent team to discuss further. Find Jobs in United Kingdom on Arbeitnow

About THG We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition. Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition. From Manchester to New York, we're powered by a team of over 2500 people who work together, lead by example, and think BIG. With us, you'll go further, faster. What are you waiting for? Location: Icon 1, WA15 0AF About Central Functions Central Functions is formed of the teams and people that serve the entire business. These people are integral to the smooth running of the business; ensuring everyone is paid on time, that materials are sourced and arrive promptly, that we meet our legal obligations and that our health, safety, and security is safeguarded. Why be the Data Engineering Lead at THG? THG is building the data engineering capability that will underpin everything from daily trading analytics to AI-driven personalisation. As Engineering Lead, you will own the technical vision and delivery for how THG structures, stores and distributes its data across three core domains: Customer, Commercial and Operations. This is a hands-on technical leadership role. You will be managing and mentoring a team of six engineers (three Senior, three mid-level, each domain-aligned), but you are also expected to be technically deep — setting architecture standards, making key design decisions, and being the person the team turns to when problems are hard. Your primary mission is to move THG from a fragmented, siloed data landscape towards consistent, joined-up domain datasets that can be trusted and used at scale. We have customer data in multiple places, commercial data that isn't consistently structured, and operational data that isn't easy to consume. You will build the engineering foundation that changes that — working to a shared architecture that ensures Customer, Commercial and Operations datasets have consistent standards, shared attributes where appropriate, and can ultimately be joined into a single, reliable view of the business. You will work closely with Ingenuity, our technology partner, who manage the foundational platform and first-layer pipelines. Your job is to take what Ingenuity provides and shape it into the structured, high-quality domain datasets that analytics and data science teams can confidently build on. You will also be a key partner to the Data Governance Lead, implementing the standards they define within your engineering practice. What you'll do: Technical Leadership & Architecture Own the data engineering architecture for THG — defining how data is ingested, transformed, stored and made available across Customer, Commercial and Operations domains Design consistent standards and patterns across all three domains — ensuring shared attributes are handled uniformly and that data can be reliably joined across domains Lead the evolution of our BigQuery/GCP platform — driving migrations, modernising legacy pipelines, and building for scalability Make key architectural decisions and be accountable for the technical quality of everything the engineering team produces Develop and enforce engineering standards across the team — version control, testing frameworks, error handling, documentation and code review practices Domain Dataset Development Lead the build-out of structured, reliable domain datasets — moving from disparate, siloed data sources towards consolidated Customer, Commercial and Operations data platforms Work towards the foundations of a single source of truth — defining how data from different source systems is reconciled, deduplicated and mastered within each domain Ensure domain datasets are structured for downstream consumption — analytics teams, data science models, BI tooling and AI/agent use cases should all be able to reliably consume what engineering produces AI-Enabled Engineering Champion the use of AI in data engineering — this is a small team with a large remit, and we expect AI-assisted development to be embedded in how we work Apply AI tools to accelerate pipeline development, automated testing, anomaly detection and data quality monitoring Stay current with AI developments in the data engineering space and bring new approaches into the team's practice Ingenuity Relationship Work closely with the Ingenuity engineering team — understanding what they provide at the platform layer and building effectively on top of it Define clear requirements and interface standards for how Ingenuity data feeds into PLC domain datasets Identify and escalate where Ingen platform behaviour affects data quality or availability within PLC domains People & Team Manage, coach and develop a team of six domain-aligned engineers — three Senior Data Engineers and three Data Engineers Run a structured review and development process for each engineer, building their technical capability and career progression Foster a culture of engineering excellence, collaboration and continuous improvement What skills and experience do I need for this role? Essential Hands-on, expert-level experience with BigQuery and GCP — this is non-negotiable; you must have built and operated production data pipelines on this stack Strong Python skills — used daily for pipeline development, data transformation and automation Experience across at least two of the three core data domains: Customer, Commercial and Operations A track record of evolving data architecture — you can demonstrate concrete examples of how you changed the way a business structures, stores or consumes its data Deep understanding of data modelling, pipeline design and distributed data architecture Experience with Dataform or dbt for data transformation Demonstrated use of AI in data engineering — AI-assisted pipeline development, automated quality checks, or similar practical applications Experience mentoring and developing engineers Desirable Experience building towards a Customer Data Platform (CDP) or equivalent customer data consolidation project Familiarity with data governance principles and working alongside a governance function E-commerce or retail background Experience with streaming or real-time data pipelines What's in it for me? Career Development Access bespoke development programmes that have been designed and developed by our in-house L&D team. Continued development through our upskilling programme that is delivered in partnership with an industry-leading training provider. Enhanced Leave 25 days annual leave plus bank holidays. Don't want to work on your birthday? We don't either! Enjoy your day off on us! Enhanced maternity and paternity pay, depending on length of service. Up to 10 days compassionate leave. Buy back up to 3 days each year. Unlock 2 days volunteer leave after 12-months. Wellbeing Support Access face-to-face and virtual appointments with our in-house GP. Access to our subsidised on-site dentist. Access our 247 Employee Assistance Programme (EAP) which is provided by Bupa. State-of-the-art on-site gym. Access to our on-site physio. Other Perks Save up to 12% on the cost of personal tech through our salary sacrifice scheme. Subsidised bus pass from Manchester City Centre to our ICON office. Up to 50% staff discount on THG brands. On-site staff shop. Know someone who would be perfect for THG? Refer them and get up to £1000 when they pass their probation. Anniversary gifts when you hit 5 and 10 years of service. THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability. THG is committed to creating a diverse & inclusive environment and hence welcomes applications from all sections of the community. Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG please contact one of our Talent team to discuss further. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Legend At Legend, we're building next-level player experiences. With 20+ years of proven success we're the world's leading Sports and Gaming marketing company. Our people are our edge. 600+ sharp, ambitious Legends across 22+ countries who move fast, learn quickly and win together. Here growth isn't a perk, it's the standard. You'll stretch, level-up and carve out a career as bold as the products we build. We celebrate wins and create experiences that people talk about for years - for our players & for each other. If you're ready to shape the future of player experience and enjoy the ride while you do it, this is where you'll thrive. The Role Legend is hiring a Senior Data Analyst, reporting directly into our Head of Data and Insights. This is a high-impact opportunity for a Senior Data Analyst who wants to do more than answer questions with data. You'll sit at the heart of our Sports business, partnering with teams across Product, Commercial, Marketing and SEO to uncover opportunities, challenge thinking and influence the decisions that drive performance. You'll be joining at an exciting point of transformation. With new products, evolving business models and a growing ambition for how we use data across Sports, you'll play a key role in shaping the next phase of our analytics capability and how data is used to drive decision-making across the business. From building smarter forecasting models and transforming how we measure performance, to exploring customer behaviour and laying the foundations for future personalisation, you'll own complex analytical challenges from problem through to recommendation. This is a hands-on senior role with real visibility, autonomy and the opportunity to make data a genuine driver of commercial and product strategy. In this role, we value diverse perspectives and encourage you to apply even if you don't meet every qualification listed. Your Impact: Deliver end-to-end analytical projects that help shape commercial, product and marketing decisions across our Sports portfolio. Build advanced forecasting models that combine financial planning, historical performance, seasonality and sporting events to improve business forecasting. Redesign and enhance our Tableau dashboard suite, providing stakeholders with faster, more actionable performance insights. Improve the quality and accessibility of data by identifying gaps, optimising reporting and partnering with Data Engineering to strengthen data pipelines. Apply statistical analysis, behavioural analytics and experimentation to uncover opportunities that drive revenue, conversion and long-term business growth. Mentor team members while proactively identifying future analytical opportunities that help mature our Performance & Insights function. What You'll Bring: Expert-level SQL alongside strong Python (preferred) or R, Tableau and statistical analysis skills. Proven experience independently delivering end-to-end analytical projects from scoping through to implementation. Strong stakeholder management skills with the ability to translate business challenges into analytical solutions and communicate technical concepts to non-technical audiences. Commercial mindset with experience using data to influence business strategy and decision-making. Experience mentoring or supporting team members while driving high standards across analytical delivery. Experience within sports betting, iGaming or another digital business with strong web analytics exposure is highly desirable. The Interview Process: 1st: Initial Chat with Talent Partner (30 mins via Zoom) 2nd: Interview with our team, Hiring Manager and Senior People Partner (1 hour video via Zoom) 3rd: Take home task - you will be given a task to complete and return to us for assessment 4th: Final interview with our team, Hiring Manager and Sports Stakeholder (1 hour video via Zoom) Why Legend? Super smart colleagues to work alongside and learn from. Engaging development opportunities at all levels. Tailored flexibility for your work-life balance. Annual discretionary bonus to reward your efforts. Paid annual leave PLUS a well-deserved break to recharge your batteries during the festive season! Our offices are closed between Christmas and New Year's, allowing you to enjoy downtime without dipping into your annual allowance. Exciting global Legend events, where we unite in person to ignite our shared passion and unveil the exciting strategies for the year ahead! Unlock your full potential by joining the Legend team. To support you on this journey, we provide an extensive array of benefits and perks, as outlined in our global offerings above. For country specific benefits please reach out to your talent partner. Legend is an Equal Opportunity Employer, but that's just the start. We believe different perspectives help us grow and achieve more. That's why we're dedicated to hiring and developing the most talented and diverse team- which includes individuals with different backgrounds, abilities, identities and experiences. If you require any reasonable adjustments throughout your application process, please speak to your Talent Partner or contact the team ----- and we'll do all we can to support you. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Refractal Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous. Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research. Today, we work with governments and organisations that can't afford to get security wrong. We're backed by leading deep-tech and cybersecurity investors and are growing the team to deliver on this mission. The role Own the core product platform from its external interfaces through the service and data layers. You will build the APIs and SDKs that connect Refractal to customer systems, along with the services, identity controls, and event contracts behind them. Work directly with the founders and early customers to turn operational security needs into simple, reliable platform interfaces and operator tools. What you'll work on Own stable, versioned platform APIs and SDKs, including client interfaces, compatibility rules, documentation, and examples. Build FastAPI services for enforcement decisions, evidence, policies, and red-team results. Design authentication, sessions, API keys, authorisation, and rigorous multi-tenant isolation. Build data and event interfaces, real-time streams, and a tamper-evident audit ledger. Create customer onboarding, policy integration, and operator dashboard workflows. Own testing and deployment across API compatibility, browser smoke tests, Cloud Run, and Cloud SQL. What we're looking for A product-minded platform engineer who makes complex systems clear and predictable and takes ownership from the data model to the customer integration. Strong backend experience with HTTP APIs; Python and FastAPI experience is preferred. Experience with observability, tracing, relational databases, and database migrations. Sound judgement around API design, versioning, SDKs, and compatibility. A strong understanding of authentication, authorisation, API keys, and multi-tenant access control. Good JavaScript and React skills for building operator-facing product surfaces. The ability to work independently and own technically uncertain customer problems. Our values Radical transparency. We believe the best work happens when everyone feels able to give and receive honest, constructive feedback. Public service. We see AI security as a form of public service. Getting the AI transition right means putting the right infrastructure in place to manage the threats that come with it, and our work helps protect the institutions and services society depends on. Fail fast. We test ideas early, seek feedback and learn quickly. We experiment rapidly and change course when something isn't working, without compromising on security. Pragmatism, not dogmatism. We choose approaches based on how well they solve the problem. That means combining established cybersecurity methods with frontier AI research, questioning our assumptions, and changing our minds when the evidence changes. What we offer Competitive salary, meaningful equity, and a performance-linked bonus. Direct influence over the product, architecture, engineering standards, and company direction. Real, high-consequence AI deployments rather than purely synthetic environments. London-based, in-person work, with UK Skilled Worker visa sponsorship and support for Global Talent applications. Compensation: £60K – £115K • Offers Equity • £60K – £115K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

Description: Looking for an employer you can count on? Join us! Senior Platform Engineer AI & Observability (m/f/d) Your Role and Responsibilities: Design, deploy, and operate scalable AI, observability, and cloud-native platforms based on Kubernetes and HPC technologies. Build and optimize AI services, LLM inference platforms, and GPU-enabled workloads. Develop and maintain monitoring, logging, tracing, and security solutions using open-source technologies. Create standardized deployment workflows, automation, and platform best practices. Enable reliable, secure, and multi-tenant operation of federated research infrastructures. Collaborate with project partners and provide technical leadership in architecture, implementation, and operations. Your Qualifications: Required/Minimum Qualifications Master's degree (or equivalent) in Computer Science, Data Science, Computer Engineering, or a related field. Other Requirements Experience with Linux, Docker, Kubernetes, and cloud-native technologies. Knowledge of observability, monitoring, logging, tracing, and security concepts. Programming and scripting skills, preferably in Python, Go, or Bash. Experience with DevOps, MLOps, platform engineering, or infrastructure automation. Strong communication, collaboration, and problem-solving skills. Excellent written and spoken English. Additional or Preferred Qualifications: Experience with AI, machine learning, LLMs, or AI-assisted operations. Hands-on experience with inference frameworks such as vLLM, Triton, Ollama, or Llama.cpp. Experience operating GPU-accelerated, large-scale Kubernetes, or HPC environments. Knowledge of Prometheus, Grafana, Helm, GitOps, and CI/CD. Familiarity with RAG architectures, vector databases, MCP-based services, or AI agents. Experience with security monitoring tools (such as Falco or Tracee). Experience in research projects or open-source software development. Conditions: Working time full time (40 hrs) flexible working model with electronic time recording Contract duration 30.09.2029, a further employment is intended Remuneration up to E 13, see Entgelttabelle TV-L Annual leave / compensatory time off 30 days (24.12. + 31.12. additionally day off) Overtime is compensated by additional time off Benefits Up to 60% mobile work for suitable tasks, mostly two-person offices, bus and subway (U6) on the doorstep, free parking, pension plan of the Versorgungsanstalt des Bundes und der Länder (VBL), state-of-the-art work equipment, Cooperation Agreement with Sports Facility Providers for Discounted Membership What you can expect at LRZ: Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified (SGB IX). Further information: We are looking forward to receiving your complete application documents (including cover letter, CV and certificates) in a PDF file (other file types are not accepted) by latest 23.10.2026. Subject: Senior Platform Engineer (20 26 / 50 ) Are you unsure whether the job suits you or you suit us? Or do you still have questions about this position? Our colleagues will be happy to answer all your questions. This job does not fit? Then take a look at https://www.lrz.de/en/careers/current-vacancies or send us an unsolicited application! Here you will find information about the collection of personal data during the application process. Find more English Speaking Jobs in Germany on Arbeitnow

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find Jobs in Switzerland on Arbeitnow

Who we are Yubo is the Social Discovery app to make new friends and hang out online. By eliminating likes and follows, we empower our users to create genuine connections and show up as their true selves. We've pioneered a new way for Gen Z to socialize online, and with millions of active users, our goal is to redefine how we connect today and tomorrow. Our team is international, multicultural and deeply committed to its mission. As the leading platform to socialize online, we have a special responsibility to build a safe digital space for our community. Safety is embedded in our DNA, and our proactive approach focuses on user protection, support, and education. Join us in this exciting journey and help us shape the future of social interactions! About this role As Yubo continues to scale, Machine Learning is becoming a core production layer , powering critical systems across safety, recommendations, and product optimization. What makes this role unique is both the scale and diversity of our data , and the level of maturity we are aiming to reach . We process massive volumes of images, text, and real-time user interactions , across millions of users worldwide, creating a wide range of high-impact ML challenges, including: Content moderation (image, text, behavior) Recommendation systems and user engagement optimization Behavioral detection and trust & safety models Emerging use cases such as dynamic pricing and growth optimization At the same time, our current ML stack is still evolving. Legacy models are not fully integrated into pipelines, lifecycle management remains inconsistent, and our approach can sometimes resemble "develop, deploy, and forget." As ML usage expands across the company, this creates increasing complexity and dependency on reliable, well-structured systems . There is still a huge amount of untapped potential , with many ML use cases yet to be designed, tested, and scaled, but unlocking it requires building a more robust and scalable ML operating model. We are therefore looking for a Senior ML Engineer to join our Platform Engineering team, reporting directly to Mikael (Head of Platform Engineering). You will play a key role in delivering ML initiatives across the company, helping turn promising ideas into reliable production systems. You'll work on everything from model development and experimentation to deployment, monitoring, and continuous improvement, while contributing to the evolution of our ML platform and engineering practices Your responsibilities ML Systems & Delivery Deliver end-to-end ML use cases (recommendation systems, safety algorithms, moderation models, etc.). Design, train, evaluate, and deploy ML models where appropriate. Balance speed of delivery with robustness and reliability. ML Lifecycle & Reliability Drive improvements across the ML lifecycle (training, deployment, monitoring, iteration). Establish KPIs and monitoring standards to track model performance over time. Ensure continuous alignment with product and safety objectives. Help improve the reliability and observability of production ML systems. Platform & Standardization Contribute to the evolution of our ML platform through tools, workflows, and reusable components. Help establish and promote scalable ML engineering practices across teams. Contribute to improving self-service ML capabilities where relevant. Legacy & Advanced Use Cases Take ownership of legacy models and realign them with current business needs. Improve, retrain, and integrate them into modern pipelines. Contribute to best practices around LLM usage in moderation, recommendation, and other product domains. Explore and implement advanced ML approaches where relevant. Cross-functional Collaboration Partner with Data Engineering, MLOps, Backend Platform, and Product teams. Act as a bridge between ML, platform, and business stakeholders. Provide technical leadership on ML initiatives and help improve engineering practices across teams. Share knowledge and help raise the overall ML maturity of the organization. Our technical environment / ML scope ML frameworks: PyTorch Languages: Python (data stack) Core topics: Neural networks, LLMs, data sampling Use cases: Recommendation systems, safety algorithms, moderation Ecosystem: Data Engineering, MLOps pipelines, Backend Platform Who you are You have 5+ years of experience in ML / Data, including work on large-scale datasets (datasets of hundreds of gigabytes). You have strong expertise in modern ML frameworks (TensorFlow or PyTorch or JAX). You are highly proficient in Python (data ecosystem). You have strong knowledge of neural networks and practical experience with LLM-based systems. You understand ML systems end-to-end (data → training → deployment → monitoring). You have strong experience in production ML systems, not only research. You demonstrate strong product sense and can align models with business needs. You are pragmatic and impact-driven, balancing experimentation with delivery. You are able to explain complex ML topics clearly (strong pedagogy). You operate well under ambiguity and can structure complex problems. You are able to drive technical decisions and influence stakeholders through expertise and collaboration. In your first 6 months, you will Deliver an end-to-end ML use case to validate impact and execution. Audit and improve lifecycle management of existing ML models. Refactor and retrain at least one legacy safety model. Build reusable ML components that improve development efficiency across teams. Improve monitoring and observability of production ML systems. Contribute to the evolution of our ML platform and engineering practices. Help move critical ML systems toward more reliable and measurable long-term operation. The recruitment process Phone screen with a Talent Acquisition Manager Interview with Mikael (Platform Engineering Director) Technical case study Cultural fit assessments What we offer A highly competitive salary range as well as equity in the company A highly flexible remote work policy, 2 days at the office per month, with monthly team events. We also cover fees for external professional events and meetups (Android Makers, etc…) Great health insurance coverage for both you and your family by Alan, fully paid for by Yubo ! Numerous benefits for parents: additional parental leave, easy access to nurseries and daycare facilities in France. Our approach to privacy & safety As part of your role, you may handle tools and features involving personal data. We expect all employees to demonstrate strong awareness of privacy and safety issues, and to actively support our Privacy & Safety by Design efforts. Join Yubo and help shape the future of Social Discovery while enjoying a culture that values flexibility, well-being, and impact. Here's how we live our mission every day: Y ou own the impact: Step up, adapt, and make it matter U nconventionally Smart: Hack with intent, borrow smart, build better B e Bold & Resilient: Raise your head, break barriers, keep moving forward O ne team, one mission: No egos, no passengers, just shared wins Trust & Flexibility: Our hybrid model calls for only two office days a month; the rest is up to the rhythm that works best for you. Enjoy Top-notch Benefits Culture is central at Yubo, hence the numerous benefits: Cool Workplace : enjoy our amazing Parisian office and our many hybrid work options Team Activities : participate in get-togethers, events, and team-building activities Family-Friendly : we support parents with childcare options and family-friendly policies Wellness Programs : benefit from comprehensive health insurance, wellness programs, sports classes, and mental well-being initiatives Find more English Speaking Jobs in France on Arbeitnow

Your creative field We are looking for a Platform Engineer (all genders) to start as soon as possible in a full-time, permanent position. We embrace a remote-first approach, but you can choose whether you'd like to work in a hybrid model or entirely on-site, depending on your proximity to one of our locations. What convinces us The availability and performance of our platform are of the utmost importance to our customers' satisfaction. These systems form the foundation of Contabo's most important products, which is why the smooth operation of the environment has a direct and immediate impact on the company's success. To keep our systems running and our customers satisfied, you'll take responsibility for the operation and further development of our hosting platform—from Proxmox/KVM virtualization to storage (ZFS, Ceph) and networking, all the way through to monitoring and observability. You'll serve as the technical escalation point for our Platform Support team, analyze complex issues to their root cause, and ensure that problems do not recur. You'll use Ansible and Git for automation, plan and oversee maintenance, upgrades, and migrations, and contribute to capacity and hardware planning—for example, when introducing new hardware generations or setting up new locations. You'll be responsible for your own domain of the platform, make well-informed design decisions, and document them in a transparent manner. You'll actively share your knowledge with the team. In doing so, you'll work closely with Platform, Support, Dev, Network, and Security to solve problems together and drive improvements. Since our teams and data centers are spread across the globe, part of your work will also be conducted in English. Awesome Prospects Your personality, combined with: training as an IT specialist in system integration, a degree in computer science, or a comparable qualification and experience several years of professional experience (at least 5 years) in the operation or development of large-scale Linux and virtualization environments solid hands-on experience with Linux (troubleshooting, performance), Proxmox/KVM or comparable virtualization technologies, Ansible, and monitoring solutions (e.g., Zabbix, Prometheus/Grafana) Ideally, experience with ZFS and/or Ceph, networking fundamentals (BGP, L3 routing, VLAN, Open vSwitch), Git/CI, and scripting in Bash or Python Self-motivation and a proactive approach: You contribute ideas, document decisions clearly, and enjoy sharing your knowledge with others A plus: Terraform, Kubernetes, Vault, PowerDNS, or experience in a hosting/cloud environment Enjoy working with other teams and working independently Very good German and English skills How to reach us If you have any questions, you can reach out to Max by email at . Find more English Speaking Jobs in Germany on Arbeitnow

Your creative field We are looking for a full-time, permanent Senior Network Engineer to start as soon as possible. We live remote-first, but you have the freedom to choose whether you want to work hybrid or completely on-site due to your proximity to one of our locations (Berlin, Cologne, Hamburg, Munich). Contabo Group operates one of Europe's largest cloud infrastructure platforms, with data centres across Europe and beyond. As our new Senior Network Engineer, you take on the network backbone that thousands of customers rely on every day, with real ownership from day one. Right now, the biggest milestone on your plate is the build out of our new AI data centre. You inherit a fully designed Leaf-Spine architecture built on Arista EOS, BGP EVPN, and VXLAN, take ownership of it, refine it where it needs refining, and drive everything from commissioning through to stable production operations. Alongside that, you keep our existing LTG infrastructure running reliably: you design, build, and operate complex network, server, and security systems, analyse and resolve faults, and harden our network security through scrubbers, firewalls, ACLs, and NAC. You monitor network traffic and infrastructure performance, extrapolate the KPIs that matter to management, and coordinate with external service providers and remote hands across the globe. You keep our network diagrams, runbooks, change logs, and system documentation in good shape, and you work closely with Platform Engineering on Cilium BGP peering, Kubernetes node network configuration, and IPAM, acting as the ongoing interface between NetOps and Platform. You join a self-organising, agile team that owns its problems end to end, from analysis to resolution, without micromanagement. On top of that, you will have real room to grow into infrastructure automation, DDoS mitigation with Nokia Deepfield, observability, and BGP EVPN fabric engineering, alongside plenty of national and international project work. You report directly to our Head of Network and become the permanent owner of everything networking related at Contabo Group, Blue and Black alike. Communication, team orientation, problem solving, and analytical thinking matter just as much here as deep technical expertise, since you will regularly work across teams and explain complex topics to people outside networking. What convinces us Your personality, paired with: minimum 5 years of hands-on experience with complex, scalable networks and fabric infrastructures on Cisco and/or Arista, ideally with real Leaf-Spine and BGP EVPN VXLAN exposure strong expertise in WAN connectivity, data centre peering, uplink management, VPN, and IPv6 strong expertise in security administration and DDoS mitigation (e.g. Nokia Deepfield, Aurologic), plus solid monitoring skills with tools like Grafana, Check_MK, or Zabbix good scripting and automation skills with Ansible, Terraform, Python, or similar strong analytical and strategic thinking, paired with clear, confident communication a results-driven, hands-on mindset with a high standard of performance, customer orientation, and composure under pressure genuine team spirit, reliability, and a self-driven way of working that thrives without micromanagement experience with Network Access Control solutions, BGP Flowspec, virtualisation (Proxmox), and IPAM systems such as NetBox strong conflict-handling skills, a knack for building contacts across teams, and openness to change a basic understanding of Kubernetes networking, ideally paired with an Arista certification (or equivalent Cisco knowledge), a completed IT apprenticeship or equivalent, and German language skills alongside excellent English We know that you may not currently meet all the requirements. But if you come to us with the right amount of commitment and enthusiasm, we can take off together and make a big difference. Awesome Prospects At Contabo, we are constantly evolving. Our growth creates space for new ideas, ownership, and real impact for people who want to make a difference. What defines us is trust, direct communication, and an open feedback culture. We believe the best solutions are built together and that everyone has the opportunity to contribute, grow, and leave their own footprint. Additionally, we offer: Work the way that fits your life – Remote or hybrid with flexible hours for a healthy work-life balance and the same technical equipment at home as in the office Experience real freedom – Workation across the EU and in our summer office in Mallorca Stay active and healthy – Access to EGYM Wellpass and thousands of fitness and wellness facilities Enjoy exclusive perks – Attractive discounts on many products and services through our corporate benefits program Recharge your energy – 30 days of vacation plus additional days off on Christmas Eve and New Year's Eve Give back – An extra day off to get involved in social activities through our Volunteer Day Make an impact – Take ownership and bring your ideas to life with real creative freedom Keep growing – Individual professional and personal development opportunities in an innovative tech environment Feel comfortable where you work – Modern, conveniently located offices across our European locations Be part of a diverse team – Work in an international environment shaped by diversity Create lasting memories – Company events and team activities you won't forget How to reach us If you have any questions, you can reach out to Max by email at . 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Du möchtest eine AI Plattform entwickeln, die täglich von 1.500 Mitarbeitenden genutzt wird? Du verbindest Cloud Engineering mit Softwareentwicklung und hast Lust, neue AI Technologien in zuverlässige Lösungen zu überführen? Dann könnte diese Position als AI Platform Engineer genau die richtige Herausforderung für dich sein. Unser Kunde ist eine schnell wachsende, börsennotierte Unternehmensgruppe mit aktuell rund 55 Softwareunternehmen im Portfolio. Diese sind auf hochspezialisierte B2B-Softwarelösungen ausgerichtet – vielfach in sicherheitskritischen, öffentlichen oder infrastrukturellen Anwendungsbereichen. Deine Benefits Remote First: Bis zu 95 % Remote Arbeit mit mindestens einem Tag pro Monat im Büro in Köln Flexibles Arbeiten: Hohe Eigenverantwortung bei der Gestaltung deines Arbeitsalltags. Arbeitskultur: Modern, kurze Entscheidungswege und ein sehr ambitioniertes Team Direkter Impact: Deine Arbeit beeinflusst eine AI Plattform, die im gesamten Unternehmensportfolio eingesetzt wird & du arbeitest direkt mit dem C-Level zusammen Attraktive Vergütung mit festem Grundgehalt und erfolgsabhängigem Anteil Deine Aufgaben Im Mittelpunkt steht die Weiterentwicklung des internen AI Hub auf Basis von Open WebUI. Die Plattform wird für verschiedene Portfolionternehmen bereitgestellt und laufend um neue Funktionen, Integrationen und technische Möglichkeiten erweitert. Platform Engineering: Entwicklung neuer Integrationen, Container Images und Deployment Lösungen AI Integrationen: Pflege und Ausbau des Katalogs aus Tools, Skills, Agents und Integrationen AI Evaluation: Weiterentwicklung des Evaluationssystems zur Messung und Verbesserung von AI Agents Infrastructure as Code: Automatisierung und Weiterentwicklung der Cloud Infrastruktur Release Management: Prüfung neuer Versionen, Bewertung technischer Änderungen und Veröffentlichung stabiler Releases Cloud Infrastruktur: Betreuung gemeinsamer Komponenten wie Application Gateway, WAF, TLS, Redis, DNS und Netzwerkverbindungen Security: Umsetzung von Security Patches und Weiterentwicklung sicherer Plattformstrukturen Monitoring: Überwachung von Verfügbarkeit, Versionen, Deployments und Cloud Kosten über alle Instanzen hinweg Enablement: Erstellung technischer Dokumentationen, Onboarding und Aufbau von Preflight Checks und Guardrails Dein Profil als AI Platform Engineer Min. 2 Jahre Erfahrung in Platform Engineering, DevOps, SRE oder Cloud Operations mit Verantwortung für Produktivsysteme AI-native – du verfügst über praktische Erfahrung mit LLMs und bereits umgesetzten AI Lösungen Praxiserfahrung mit Azure oder AWS Infrastructure as Code – unter anderem Erfahrung mit Bicep, Terraform, CDK oder CloudFormation Sicherer Umgang mit Linux, Docker, Git und CI/CD Erfahrung mit PostgreSQL sowie OAuth, SSO oder Entra ID Gute Python Kenntnisse über klassische Skripte hinaus Selbstständig, strukturiert und lösungsorientiert mit Freude an technischen Herausforderungen Verhandlungssichere Deutsch- & Englischkenntnisse Nice to have: Erfahrung mit internen Plattformen sowie in Multi Tenant oder Multi Customer Cloud Umgebungen Berührungspunkte mit LLM Frameworks, Agents, MCP oder RAG Erfahrung mit Open Source Projekten Französischkenntnisse Klingt nach genau der Herausforderung, die du suchst? Dann freuen wir uns auf deine Bewerbung und geben dir in einem ersten 10 minütigen Call gerne weitere Einblicke in Unternehmen, Team und Position. Find Jobs in Germany on Arbeitnow