5920 jobs found

The Experience team designs Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Intelligence Product Area is a core part of Spotify's Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise. We're now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You'll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross functional teams to execute on long term technical investments. What You'll Do Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify's content intelligence capabilities Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability Improve infrastructure supporting AI and LLM enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems Develop reliable and cost efficient systems for high throughput content processing and real time intelligence use cases Collaborate across organizational boundaries to drive alignment, technical quality, and long term platform investments Mentor engineers and contribute to raising the engineering bar across the organization Who You Are You have extensive experience building and scaling large scale backend and infrastructure systems in distributed environments You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively You have strong programming experience in Java, Python, and/or Scala You understand the challenges of building systems that process high volume multimedia or real time workloads You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade offs of these technologies. You are comfortable operating in ambiguous, fast moving environments and helping shape technical direction from the ground up You communicate effectively across engineering, product, and leadership stakeholders You have experience leading complex technical initiatives that span multiple teams or organizational areas You care deeply about collaboration, mentorship, and creating alignment across teams Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus Experience working in startup environments or early stage product areas where ownership and adaptability are critical is highly valued Where You'll Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. ML Infrastructure, Distributed Systems, Java, Python, Scala, LLMs

As a Senior Architect within Expedia B2B, you will shape the technical direction of our platform, bridging complex business challenges with scalable, forward thinking solutions. You will partner across engineering and product teams to guide decisions that directly drive outcomes for our global B2B partners. In this role, you will: Lead complex, cross functional technical projects and drive architectural design end to end, ensuring alignment with the North Star vision. Establish technical approaches, define common patterns and standards, and guide integrations across teams within the business unit. Apply systems thinking across organizational boundaries, analyzing issues holistically and making recommendations on policies and processes to improve efficiency. Facilitate collaboration among diverse stakeholders with varied perspectives to develop effective solutions to technical and business challenges. Partner with business stakeholders to develop a clear understanding of how your technology stack connects to business outcomes and the bottom line. Lead a community of practice, bringing people together for shared learning and fostering knowledge exchange across engineering teams. Mentor and support junior architects, developers, and engineers, sharing domain and industry expertise to accelerate their growth. Report on the status of complex, high impact initiatives to technical and business stakeholders through written and verbal communication. Drive digital strategy decisions and provide digital business model consulting within IT teams. Recognize opportunities to step into peer engineering management responsibilities as the need arises. Experience and Qualifications: Bachelor's degree in computer science, engineering, or a related technical field; or equivalent professional experience. 8+ years of professional experience in software architecture or a related engineering discipline (with a bachelor's degree), or 6+ years (with a master's degree). Experience leading technical design end to end across multiple projects, with a demonstrated ability to justify technology choices to both technical and non technical audiences. Experience working in decentralized, cross functional teams across at least two multi quarter projects. Formal experience mentoring at least three individuals. Proficiency in multiple technologies or programming languages, with deep expertise in at least one technical domain. Strong understanding of how complex systems interact, including integration and communication patterns across applications, databases, and technology platforms. Demonstrated ability to define and communicate technology standards and patterns across an organization. Preferred: Master's degree in computer science, engineering, or a related technical field; or equivalent professional experience. Active contributions to the broader engineering community, such as blog posts, open source contributions, tech talks, or conference presentations. Experience connecting technology decisions to lines of business outcomes and broader organizational goals. Familiarity with enterprise integration patterns and architectural governance frameworks. Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at Equal Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Job Description Role: OT Cyber Security Senior Manager Level: Senior Manager Location: UK Salary: Competitive salary & package (dependent on experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Note: The above information relates to a specific client requirement. About the Role Accenture's Operational Technology Security practice protects critical infrastructure and industrial environments from cyber threats across diverse sectors: Energy, Utilities, Chemicals, Natural Resources, Manufacturing, Aerospace, and Defence. We are looking for an experienced OT Cyber Security Senior Manager to take ownership of complex security programmes, lead client engagements, and build our team's technical capability. You'll work with both Critical National Infrastructure clients and industrial organisations solving sophisticated OT security challenges. Reporting to the Head of OT Cyber Security, you'll operate UK-wide with hybrid arrangements (typically 2-3 days per month in our London office, with additional client site visits as needed). What You'll Do Client Delivery & Leadership Lead end-to-end delivery of OT security projects in regulated environments, managing timelines, budgets, and security standards. Act as primary point of contact for client stakeholders, building trust-based relationships and ensuring seamless execution. Conduct cybersecurity strategy assessments, readiness evaluations, and discovery workshops using industry frameworks and compliance mandates. Identify and articulate risks at project, business, and technical levels, delivering proportionate, cost-effective mitigation strategies. Technical Expertise Perform detailed analysis of Industrial Control Systems (SCADA, DCS, IIoT) architecture, identifying vulnerabilities and recommending improvements. Design and implement robust cybersecurity solutions tailored to IC environments. Develop IC security control frameworks incorporating industry best practices and international standards (NIST, ISO 27001, IEC 62443). Create key deliverables including threat and risk assessments, security policies, procedures, assurance management plans, and compliance evidence. Team Development & Growth Mentor Accenture team members through both line and matrix management, providing guidance, knowledge sharing, and skill building opportunities. Drive business development by identifying opportunities within existing accounts and building new client relationships. Contribute to Accenture's thought leadership in OT security through publications, presentations, and client engagements. What You'll Need Essential 10+ years of experience in OT/ICS cybersecurity or critical infrastructure security. Proven track record leading complex security programmes in regulated industrial environments. Deep understanding of Industrial Control Systems (SCADA, DCS, PLC, IIoT) and their unique security challenges. Strong familiarity with OT security regulations and frameworks (NIS, NIS2, CAF, CRA). Experience working with both technical teams (engineers, IT) and executive stakeholders. Excellent communication skills with ability to translate complex technical risks into business impact. Willingness to travel across the UK as projects require. Highly Valued Professional certifications: GICSP, IEC 62443, CISSP, GRID. Experience across multiple sectors: Energy, Utilities, Manufacturing, Aerospace, Defence, or Critical National Infrastructure. Knowledge of security standards including NERC CIP, IEC 62443, ISA/IEC 62443. Background in both advisory and hands on technical implementation. What We Offer Work on prestigious projects spanning critical national infrastructure, advanced manufacturing, and defence clients. Access to Accenture's global network of security experts and continuous learning opportunities. Hybrid working with flexibility around client and project needs. Career progression within a rapidly growing OT cyber security practice. Inclusive culture that values diverse thinking and boundaryless collaboration. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice. Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Closing Date for Applications: 30/04/2026 Locations London Birmingham Edinburgh Manchester Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Senior Product Manager - Engagement Products - Paysafe is a global payments platform powering the experience economy,witha strong focus on the iGaming, video gaming,e-commerce, online trading, retail,traveland hospitality sectors. With 30 years of expertise in payment technology, Paysafe helps businesses and consumers lift every experience through seamless, secure payment solutions, including card payments, digital wallets such as Skrill, eCash solutions like PaysafeCard, and a suite of local payment methods. With approximately 2,900 employees across12countriesand annualized transactional volume of $167 billion in 2025, Paysafe connects people and businesses worldwide through innovative digital payment experiences. Overview: We are seeking a Senior Product Manager to lead the development of engagement-driven products that power connected, multi-participant commerce environments. This role will focus on creating seamless, high-frequency experiences that connect consumers, merchants, and partners through a unified platform. You will play a critical role in driving user adoption, retention, and transaction growth by building and scaling capabilities across wallets, acquiring, loyalty, offers, and partner integrations. These solutions will enable dynamic, real-world and digital experiences where users can discover, transact, and engage within a single ecosystem. Responsibilities: Define and execute product strategy for engagement products that drive user adoption, retention, and transaction frequency Design and scale consumer engagement experiences, including wallet interactions, in-app journeys, and contextual commerce Build and optimize loyalty, rewards, offers, and gamification capabilities to increase repeat usage and share of wallet Develop merchant and partner engagement models, enabling participation through promotions, advertising, and value-added services Identify and deliver opportunities to connect physical and digital experiences (e.g., in-location ordering, partner integrations, event-based engagement) Own the end-to-end product lifecycle from concept through launch and continuous optimization Partner with Engineering, Design, and Partnerships to deliver scalable, high-impact solutions Leverage data and experimentation to improve engagement metrics, conversion, and monetization Support monetization strategies tied to engagement, including affiliate models, sponsored offers, and partner-driven revenue streams Ensure compliance with regulatory, privacy, and data usage requirements across markets Qualifications 5-8+ years of product management experience, with a focus on consumer engagement, merchant engagement, growth, or digital platforms Experience building or managing wallets, loyalty programs, marketplaces, or ecosystem-based products Strong understanding of behavioral design, incentives, and engagement mechanics Experience with data-driven product development, including experimentation and performance optimization Familiarity with multi-sided platforms and integrating third-party partners Ability to translate complex ecosystems into simple, intuitive user experiences Strong cross-functional leadership and stakeholder management skills Experience in fintech, payments, or commerce platforms is a plus We offer in return: The opportunity to write the history of a leading and growing multinational company Tailor-made training and ongoing development to help you enhance your skills in the field of online payments Multiple career progression opportunities in a dynamic in-house business Environment where product expertise, professional and personal commitment are rewarded Competitive remuneration and social benefits package Fun and collaborative working atmosphere Flexible working model - we encourage our employees to embrace our flexible working approach. You will be expected to work from home and spend an average of three days a week at our office as part of our hybrid work model Are you ready to take your career to the next level? Join our team that is inspired by a unified vision and propelled by passion. Paysafe provides equal employment opportunities to all employees, and applicants for employment, and prohibits discrimination of any type with regard to ethnicity, religion, age, sex, national origin, disability status, sexual orientation, gender identity or expression, or any other protected characteristics. This policy applies to all terms and conditions of recruitment and employment. If you need any reasonable adjustments please let us know. We will be happy to help and look forward to hearing from you.

About client Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. Requirements Systems Programming Expertise: 10+ years of software engineering experience with strong proficiency in Python. You must be comfortable building system agents, APIs, and CLI tools. Deep Kubernetes Knowledge: You understand K8s internals beyond simple deployment. Experience with Custom Resource Definitions (CRDs), Operators, and the Kubernetes API server architecture. GPU Ecosystem Experience: Hands on experience managing NVIDIA GPU clusters. Familiarity with NVIDIA drivers, CUDA toolkit, and the container runtime (NVIDIA Container Toolkit). Linux Internals: Deep understanding of the Linux kernel, cgroups, namespaces, and system performance tuning. Infrastructure as Code: Mastery of declarative infrastructure tools (Terraform, Ansible) but with a focus on provisioning physical hardware rather than just cloud VMs. Problem Solving: A proven track record of debugging complex distributed systems where the root cause could be code, network, or silicon. Preferred qualifications HPC Background: Experience working with traditional supercomputing schedulers (Slurm, PBS) or modern batch schedulers (Volcano, Kueue, Ray). Bare Metal Provisioning: Experience with tools like Cluster API (CAPI), Metal3, Tinkerbell, Canonical MaaS, or OpenStack Ironic. High Speed Networking: Knowledge of RDMA, InfiniBand, GPUDirect, and how to expose these technologies to containerized workloads. AI/ML Familiarity: Understanding of how distributed training works (e.g., PyTorch Distributed, Megatron LM, DeepSpeed) and the infrastructure requirements of Large Language Models (LLMs). Observability: Experience building monitoring for hardware health (DCGM) and distributed tracing for long running jobs. Location Applicants must have legal authorization to work in the country where the position is based. What you will be doing Building the Control Plane: Designing and developing the software layer (APIs, Controllers, Agents) that automates the lifecycle of bare metal AI infrastructure. Orchestrating High Scale Compute: Architecting scheduling solutions for large scale distributed training jobs across massive clusters of GPUs (NVIDIA H200/B200/B300), ensuring efficient bin packing and gang scheduling. Optimizing the Fabric: Tuning the software defined networking layer to support low latency interconnects (InfiniBand/RDMA/RoCEv2) essential for multi node training. Developing Kubernetes Extensions: Writing custom Kubernetes Operators and CRDs to abstract complex hardware realities (topology awareness, GPU partitioning) into usable interfaces for our Data Scientists. Hardware Level Debugging: Investigating and resolving deep systems issues, ranging from PCIe bus errors and NCCL communication timeouts to kernel panics on bare metal nodes. Defining Standards: Creating the "Golden Image" for AI workloads, managing drivers, firmware, and OS optimizations to squeeze maximum performance out of the hardware. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture.

London (Hybrid - 2 days onsite) Permanent Start ASAP Experience: Senior Create the future of travel with us Whether it's to visit the people closest to us, starting an exciting adventure, or a career-defining business trip, travel is an essential part of our lives. Yet we've all experienced the aches and pains of getting to our destination. Today, more than 4 billion airline passengers rely on technology that hasn't kept up with the expectations of the modern connected traveller. That's why we've started to rebuild the infrastructure that underpins the travel industry. We're on a mission to unravel travel - simplifying systems and building the tools that will make the future of travel effortless. We were part of Y Combinator S18's cohort and we are backed by Benchmark, Blossom, Index Ventures and Kima Ventures. Our team in London is growing and we're looking for talented people to join us on our journey. AI at Duffel Travel is one of the most demanding domains for AI. A single trip can span multiple airlines, hotels, payments, policies, and time zones - and when something goes wrong, travellers need answers fast. We're building a chat-based AI assistant that helps travellers manage trips booked through Duffel: changing a flight, understanding a fare rule, recovering from a disruption, getting a receipt - all the things that today mean a phone call or a long wait. Behind that experience sits a platform: the orchestration, retrieval, memory, and evaluation systems that let agents reason reliably over real bookings, real money, and real policies. As a senior AI Engineer, you'll help build that platform from the ground up and set the technical direction for how we build agents at Duffel. What you'll get to do Design, ship, and own production-grade AI agents end-to-end - from intent through to taking action against Duffel's APIs - and define the agent development lifecycle the rest of the team will follow. Build the core platform that powers our agents: the orchestration engine, runtime, and primitives that define how agents reason, take actions, and interact with users - keeping them steerable and verifiable while staying conversational and adaptive. Make agents trustworthy. Build the retrieval and grounding systems that ensure responses are accurate, and the evaluation frameworks that let us measure and improve agent quality deliberately rather than vibes-first. Lay the foundations for memory and personalisation: long term agent memory, reusable customer data primitives, and the optimisation loops that let agents personalise interactions and demonstrably lift business outcomes. What we're looking for in you Significant experience shipping AI agents and LLM systems into production, with strong opinions on the modern toolkit - eval frameworks, agent orchestration, RAG pipelines, prompt engineering - and the tradeoffs between them. A track record of taking ambiguous problems from zero to one, raising the bar for the engineers around you, and shaping technical direction across teams. A strong general engineering foundation. We care more about your ability to design good systems than about any specific language or framework - you'll work across our stack as needed (Elixir on the backend, TypeScript on the frontend). Big picture thinking - you can make tradeoffs on technical work streams against business impact, and know when to ship something rough to learn from versus when to invest. Fantastic communication skills. You're able to articulate what you're working on and why to the team in a clear and structured way. You thrive in a collaborative environment. You believe in your own methods but keep an open mind, taking suggestions and feedback onboard as well. Bonus if you have experience in travel, flights, hotels or cars. Location We are based in Shoreditch, London and have a hybrid work-from-home policy and require everyone to come to our office on Tuesdays and Thursdays. Why Join Duffel? We're a growth-focused team that values open communication, diverse perspectives, and true ownership. We want you to feel empowered in your role, which is why every permanent employee becomes a company shareholder. Benefits Duffel Travel Allowance: We subsidise your wanderlust. Work From Anywhere (60 days): Your office, your rules. Sabbaticals: Long term loyalty, long term breaks. Flexible Bank Holidays: Swap holidays to suit your schedule. Level Up & Give Back Study Days: Get paid to learn. Volunteering Day: One day a year to save the world. Electric Car & Cycle Schemes: Eco friendly rides, tax free prices. The Essentials, Upgraded Family Leave (maternity, paternity and adoption): Big support for life's biggest moments, 26 weeks fully paid. Pensions & Loans: Future proofing and interest free commuting. Eye Tests: Keeping your vision and your style sharp. We are an equal opportunities employer. We believe that the key to our success is employing a diverse team, that's why recruitment decisions are only based on your experience and skills. We value your ability to problem solve and build amazing things so we welcome applications for everyone - regardless of age, sex, disability, sexual orientation, race, religion or belief.

Duffel is seeking a Senior AI Engineer in London to design and build production-grade AI agents. You will contribute to the core platform that powers these agents, ensuring reliability and personalisation. Ideal candidates should have extensive experience in shipping AI systems, an understanding of tradeoffs in technology, and excellent communication skills. With a hybrid work policy and a culture focused on diversity and empowerment, Duffel offers growth and ownership opportunities for their employees.

About Zip Zip is the AI platform for enterprise procurement - built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the resources they need to innovate faster than ever before. The world's most influential enterprises trust Zip, including T-Mobile, OpenAI, AMD, Mars, Dollar Tree, and more. Together they've saved over $8 billion and processed over $500 billion in spend. Zip's team includes product leaders from Apple, Airbnb, and Meta, as well as former procurement leaders from United Health, Sanofi, MGM Resorts, Discover, and NASA. Backed by Adams Street, Alkeon, BOND, CRV, DST, Tiger Global, and Y Combinator, Zip has raised $371 million, most recently at a $2.2 billion valuation and has been recognized by Forbes Fintech 50, Fast Company's Most Innovative Companies, Inc. Best in Business, and LinkedIn Top Startups. Your Role This is a founding role. You will be the first Enterprise Architect on the ground in EMEA, standing up the function end-to-end: the playbooks, the reference architectures, the technical discovery motion, and the deal patterns that every future EA will inherit. You'll personally engage on our most strategic pursuits across the business - Fortune 500 and FTSE 100 prospects with SAP-dominant landscapes, complex multi-entity structures, and e-invoicing mandates that don't exist in other regions. You'll work directly with the Global SE leader and partner with Sales, Solution Engineering, Product, and Customer Success leaders. What you build here will shape how Zip sells and delivers across Europe for years. Please note this is a hybrid role out of our London office. What you'll do Win the deals that define the region: Act as the senior technical voice on strategic pursuits - leading discovery with customer CTOs, CIOs, and Chief Procurement Officers, and closing the architectural gap between their landscape and Zip. Build the EA function from zero to one: Create the foundational assets - customer system landscape templates, reference architectures, integration capability matrices, security & compliance packets, objection response libraries - and set the bar for how EA shows up in deals. Own the system integration narrative: Lead the technical story on how Zip integrates with SAP (ECC, S/4HANA, Ariba), Oracle, Workday, Netsuite, Coupa, and adjacent systems. You are responsible for translating the customer landscapes into credible integration plans using our proprietary middleware. Navigate EMEA-specific complexity: Guide customers through e-invoicing mandates (Peppol, France Chorus Pro, Italy SDI, Germany's B2B mandate), GDPR, DORA, and multi-entity/multi-currency rollouts. Bridge GTM and Product: Translate customer requirements into clear product inputs. Influence roadmap prioritization with evidence, not opinion. Enable the field: Coach Solution Engineers and Account Executives on technical positioning, objection handling, and executive-level architectural conversations. Qualifications 15+ years in solution architecture, enterprise architecture, pre-sales engineering, or product roles at B2B SaaS, iPaaS, or ERP / system-of-record vendors. Deep domain knowledge: Knowledgeable about the full intake-to-pay lifecycle and how data moves between systems Strong command of the ERP ecosystem: You understand APIs, data models, and integration patterns across SAP(Ariba, S/4HANA, ECC), Oracle, Workday, Coupa, Ivalua, Jaggaer, and others. Hands on fluency with integration architecture and middleware: iPaaS (MuleSoft, Boomi, Workato), REST APIs, event driven patterns, ETL. Proven success selling into or implementing at Fortune 500 / FTSE 100 customers across multiple EMEA geographies. TOGAF/Zachman/IBM Certified along with EA. Track record of owning RFPs, security reviews, and PoCs at enterprise scale. Comfort operating as the senior technical voice in a room with CIOs, CFOs, and CPOs. Nice to have Experience standing up a function, team, or regional practice from the ground up. Working knowledge of EMEA e invoicing mandates and regulatory regimes (GDPR, DORA) Experience at a category defining, high growth SaaS company or Big 4 Consulting Experience. Multilingual - French, German, or Spanish a plus. Perks & Benefits At Zip, we're committed to providing our employees with everything they need to do their best work. Start up equity Health, vision & dental coverage Catered lunches & dinners for in office employees Commuter benefit Team building events & happy hours Unlimited PTO Apple equipment plus home office stipend 5% Employer Pension Contribution Travel This role requires approximately 30% travel across EMEA to meet with strategic prospects, customers, and partners, and to join key industry events. We're looking to hire Zippers and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!

Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement. As a Senior Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems Develop secure, high-quality production code for data-intensive applications and review code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms Advanced skills in one or more programming languages such as Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems

About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a £7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-pound decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the Platform team Platform at hx builds the foundation that enables engineering teams to ship secure, scalable applications at velocity. We're evolving towards an AI-first platform where self-service infrastructure, intelligent automation, and reusable components compound developer productivity and operational excellence. This isn't about maintaining the status quo; we're reimagining how modern software delivery works. As the Staff Platform Engineer, you will own the technical direction of this evolution. You will define the architecture and engineering standards that others build to, drive coherence across teams, and ensure the platform strategy is aligned to long-term business outcomes. You will shape how AI-first, self-service infrastructure is done at scale, not just by delivering capabilities yourself, but by creating the conditions for engineering teams across the organisation to move faster, more safely, and more autonomously. Check out our Engineering Candidate Hub for a behind the scenes look at the team you would be joining! What you'll be doing Establish a coherent 12-18 month technical direction for the platform, with clearly articulated trade offs, milestones, and alignment across engineering leadership. The roadmap is understood, trusted, and actively referenced by stakeholders. Platform capabilities are adopted broadly across engineering, not because teams are told to use them, but because they are well designed, well documented, and genuinely reduce friction. Measurable reduction in Platform as a bottleneck for common provisioning and deployment tasks. Define the architectural patterns and standards that enable autonomous and AI augmented workflows across the organisation. Other engineers can build AI native capabilities without requiring Platform's direct involvement in every initiative. Platform defined standards for security, reliability, and operational excellence are embedded into how all teams build not enforced through gatekeeping, but adopted because they are the path of least resistance. Measurable reduction in misconfiguration, security exceptions, and operational incidents across the estate. Senior engineers are visibly stronger for having worked alongside you. The team develops better instincts for architecture, trade offs, and platform thinking. You are sought out as a technical authority. What you'll need to have done Defined the architecture, standards, and patterns for the platform domain over a multi quarter horizon. Makes high judgement calls on foundational trade offs such as build vs buy, depth vs breadth, short term pragmatism vs long term coherence and brings the organisation along on those decisions. Navigating disagreement across senior engineers, architects, and stakeholders to reach durable technical decisions. Comfortable holding a position under pressure, updating it when presented with better evidence, and ensuring decisions stick once made. Accountability for outcomes that span multiple teams and that they do not personally deliver. Designs systems, standards, and enablement approaches that multiply the effectiveness of the engineers around them, rather than being the primary hands on contributor to every initiative. Defined how AI and automation are embedded into the platform at an architectural level not just experimenting with tools, but establishing patterns that make AI augmented workflows the default for engineering teams across the organisation. Understanding of the adoption dynamics, internal customer needs, and the systemic barriers to self service. Shapes the platform roadmap based on feedback, usage data, and a clear eyed view of where friction exists and ensures the platform earns its adoption rather than mandating it. Identified architectural, security, and operational risks before they become incidents. Influences how the broader engineering organisation thinks about reliability, security posture, and cost efficiency not just within Platform's direct remit. Connecting platform decisions to business outcomes clearly and credibly. Can represent the platform strategy to senior leadership, translate engineering constraints into business language, and use commercial context to sharpen technical priorities. Actively developing senior engineers through technical challenge, honest feedback, and deliberate exposure to harder problems. Recognised as someone who raises the capability of the team, not just the quality of the code. Models the engineering culture the organisation is trying to build. You're unlikely to thrive here if You prefer executing predefined tasks over taking ownership of ambiguous problems that require exploration, experimentation, and iteration to solve. You view platform engineering as building infrastructure in isolation rather than treating it as a product with internal customers whose adoption and satisfaction drive success. You're uncomfortable with rapid change and continuous improvement, preferring stability and established patterns over evolving practices based on data and feedback. If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your Talent Partner will be able to share more details about this. Benefits £5,000 training and conference budget for individual and group development. 25 days of holiday plus 8 bank holidays (33 days total). Company pension scheme via Penfold. Mental health support and therapy via Spectrum.life. Individual wellbeing allowance via Juno. Private healthcare insurance through AXA. Income protection and Life Insurance. Cycle to Work Scheme. Additional perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry. Exceptional opportunities for personal development and growth as we build something remarkable together. Interview process Initial call with our Talent team (30 minutes). Manager Interview (60 minutes). Technical Assessment (system design whiteboard) (120 minutes). Values Interview with Tech Leadership (60 minutes). We offer! Our commitment to Diversity hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. . click apply for full job details

Ltd. seeks a Senior Architect to shape the technical direction of their B2B platform. You will manage complex technical projects and guide architectural design to ensure alignment with business goals. The ideal candidate has over 8 years of experience in software architecture, excels in systems thinking, and possesses strong leadership skills. Enjoy a collaborative environment offering opportunities to mentor fellow engineers.

Senior ML / MLOps Engineer A career at Booksy means you're part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting customers in arranging their 'me time' moments, we're in the business of helping people thrive. Working in a fast-moving scale-up where the ML platform is still being built, not inherited, is not for everyone. If you prefer a mature toolchain handed to you on day one, a narrow brief, and limited ownership, this likely isn't your place. But if you want to set the standards, own the path to production, and build something that stays healthy at real scale - you'll feel right at home. As a Senior ML / MLOps Engineer, you'll be a foundational hire in our new Data Science & Applied AI function - working in close partnership with our Data Scientists to take intelligent systems from prototype to production, and keep them performing once they're live. You'll own the productionisation of our machine learning work end to end: real-time serving against SLAs, a standardised CI/CD path to production, GenAI and RAG system deployment, and the monitoring infrastructure that catches drift and quality degradation before business KPIs move. You'll work on a GCP-native stack - Vertex AI, BigQuery, dbt, Airflow, and Terraform - on problems that matter from day one, with the autonomy to shape how the function scales and who joins it next. You'll collaborate closely with Data Scientists, Platform, and Engineering, acting as both a technical owner and an advocate for Data Science needs across the organisation. Essentially, to ensure you succeed in this role you're going to need A track record of putting models into production alongside Data Scientists - classic ML, LLM/GenAI, or both Deep understanding of the ML lifecycle from prototype to production, including real-time serving, feature stores, autoscaling, and blue/green deployments Strong Python and SQL skills Hands-on GCP experience, especially Vertex AI, Kubeflow pipelines, and BigQuery - or strong fluency on an equivalent cloud with a clear ability to get to Vertex fast Solid CI/CD and production-monitoring experience, including model registries, versioning, drift detection, and automated retraining At a minimum we require conversational-level English language skills. English is our company language and is used for business-wide communication. It will also help you to have Experience with LLM evaluation, observability tooling, or RAG systems in production Experience defining MLOps standards across multiple teams Exposure to cost and latency management for GenAI systems Benefits This is a fully remote position across the UK, Spain, and Poland. We take pride in being a globally distributed team. Competitive salary plus bonus. Private health cover, life insurance, pension, and enhanced parental leave - with specifics tailored to your location. A generous holiday allowance plus public holidays. Access to a global learning and development programme, wellbeing support, and discounts across partner platforms. How AI Helps Us Find Great People Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role - but don't worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application - it won't affect your chances in any way. If you have questions, just drop us a note - we're happy to explain more. Our Diversity and Inclusion Commitment We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at so we can best support you. Kindly submit your application and CV in English to ensure it is successfully reviewed.

VIDRUSH AI STUDIOS LLP is seeking a Senior Python Backend Engineer to help build and scale their AI-driven media pipeline. This role emphasizes ownership and tangible progress, requiring strong engineering skills in Python and experience with LLMs. The successful candidate will work on integrating APIs, developing inference pipelines, and ensuring clean, efficient code in a fast-paced environment. Ideal applicants thrive on ambiguity and possess a keen ability to transform challenges into effective solutions.