2821 jobs found

About you You're happy working across teams and departments to align and coordinate the development and delivery of data centric solutions. You spot risks and opportunities and fill in the gaps between delivery teams. You help remove blockers throughout the data supply chain. You produce demos and MVPs for analysis to test out possible solutions that you can use to demonstrate ideas or gaps. You take an iterative approach to solving complex problems and seek feedback to quickly arrive at the best result. Role Responsibilities Coordinate across teams to ensure consistent data product development and utilisation, establishing and delivering the defined data architecture. This includes working with the Data Architect to understand team needs, use cases, and constraints for the use case data ecosystems. Work with both data producers and consumers to optimise existing data products and the data within them to meet evolving business needs. Advocate for teams delivering data as a product. Collaborate on the design of the research data ecosystem, addressing disambiguation, data product creation, API development, model building, harmonisation, standardisation, and governance. Adopt company standardised technology, including cloud platforms, and collaborate with technology teams to improve offerings. Consider the best technology for data teams, given a spectrum of technical literacy. Work with data privacy and governance teams to ensure data security and appropriate accessibility, adhering to relevant regulations (e.g., GDPR). Build relationships with other departments/disciplines/groups to ensure alignment and collaboration. Clarify constraints, trade offs, or important decisions to non technical stakeholders. Introduce business and product leaders to data and data engineering concepts and align solutions to user and business needs. Foster a safe and collaborative technical community, growing technical knowledge and cultivating knowledge sharing in and across teams. Provide data related technical and architectural assistance to product delivery teams and IT when needed. Assist and support tech leads and senior developers to help unblock issues. What you will be doing 1 month Collaborate with key stakeholders (product managers, engineers, architects) to understand the current state of the research data landscape and identify immediate opportunities for improvement. Document the as is data/technical landscape for research data and the wider domain. Begin building relationships and feedback loops with data governance, security, and other relevant groups to ensure alignment on data standards, security policies, and architectural principles. Start to map out the existing data sources and identify potential issues that need to be addressed. 3 months Maintain a high level roadmap for the development of the research data ecosystem, outlining key milestones and deliverables for the next 6 12 months, and present to senior leadership. Determine how the technical architecture can support delivery autonomy while supporting consistent user journeys across our platforms. Perform feasibility analysis and provide recommendations on Build vs. Buy for systems that support the agile development process, scalability, and data governance requirements. Create an architectural forum to bring together architects and tech leads in the research data initiatives. 6 months Based on feedback from initial delivery, refine the roadmap and architecture, incorporating lessons learned and adjusting priorities as needed. Scale the successful approaches to other areas of the research data ecosystem, empowering teams. Develop and communicate a clear vision for the future of the research data ecosystem, highlighting its role in supporting strategic organisational goals. Skills & Experience Essential Proven experience designing, delivering, and scaling data intensive applications. Demonstrated ability to architect data solutions that meet performance, scalability, and security requirements. Experience working on transformation projects involving introducing new technologies and ways of working within a business. Ability to drive adoption of new data architectures and technologies. Ability to clarify and uncover technical requirements, risks, and opportunities with tech leads and collaborators. Experience translating business needs into technical specifications. Advocacy for and enforcement of cross functional technical and data requirements (e.g., GDPR, security, operability). Deep, demonstrable experience delivering with various types of databases and design, including relational databases, NoSQL databases, graph databases, vector stores, and data warehouses, particularly in cloud environments. Experience with data modelling techniques and data warehousing methodologies (e.g., Kimball, Inmon, Data Vault). Hands on experience with cloud data platforms and services (AWS, Azure, GCP). Familiarity with cloud native data architectures and technologies. Desirable Experience with data management tools and processes. Experience with AI and Machine Learning, including MLOps practices. Experience with decentralised Data Mesh and Data Product architecture principles. For all roles in all locations, we offer a competitive, industry benchmarked salary. To find out more about the package provided at each location, visit

Job Type: Permanent Reporting to: RE&ILS Head of Data Location: London Role Overview: The Lead Data Scientist is a crucial member of the extended RE&ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New) Data Science and Machine Learning chapter. This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions). You will co lead the new Data Science chapter with the RE&ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision making across RE&ILS strategic Value Streams. Whilst the chapter grows, you are expected to be hands on actively helping to architect, design, and build AI or Data Science based solutions, using internally trained models, LLMs and/or a combination of both. Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the Group AI Governance Framework and maintains rigorous data governance standards. You will be accountable for this adherence. This is likely to be your first managerial role and the first time you have had one or more direct reports - having previously been a Senior Data Scientist or Machine Learning Engineer yourself. Key Responsibilities Chapter Leadership & Talent Management People Management: Lead, recruit, mentor, coach, train, and retain a high performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Culture & Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members. Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice. Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn - especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value. Solution Delivery & ML Ops Excellence Hands On Architecture: Get hands on to help architect, design, and build complex models that integrate into existing IT solutions to improve data driven decision making throughout the Reinsurance Value Chain. ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models. Strategy, Governance & Innovation Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains. Governance & Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work. Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&D to deliver reliable insights and potential next steps quickly. Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership. Required Experience & Structure Reporting to: RE&ILS Head of Data; dotted line to Group Head of Data Science. Direct line management for Data Scientists and Machine Learning Engineers within the RE&ILS Data Science Chapter. Key Partners: RE&ILS CTO, Group Head of Data Science, RE&ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft). Candidate Profile The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA regulated business, advocating for a data driven approach, and driving innovation while maintaining rigorous AI governance standards. Key Experience Deep Interest in Leadership: Demonstrated mentoring and coaching of junior team members, with evidence of successful business outcomes driven using advanced Data Science/AI. Technical Depth: Extensive hands on experience in architecting, designing, and building complex ML models, with strong cloud services knowledge and AI/ML/LLM ecosystem understanding. ML Ops Maturity: Proven ability to build, maintain, and support production deployed models, establishing effective monitoring, evaluation, and refresh processes. AI and Data Governance: Mature understanding of AI and data governance, data obfuscation & privacy laws, data version control, lineage, and application of AI governance frameworks in a regulated environment. Stakeholder Management: Experience managing collaboration with business unit leaders and external technology partners. Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Technical Proficiency: Exceptional proficiency in Python (and R), SQL capabilities, mastery of machine learning & statistical modelling techniques, including generative AI, LLMs, AI Agents, NLP, CV.

JPMorgan Chase & Co. is seeking an AI Product Manager to lead our AI for Operations team, leveraging expertise to set strategy and guide product development. In this high-visibility role, you will collaborate with cross-functional teams to create effective AI solutions that optimize banking operations. The ideal candidate should have at least 2 years of experience in product management, an understanding of AI model architectures, and excellent communication skills. This position is critical to driving the bank's operational transformation.

We are seeking an experienced Senior Athena Python Rates Senior Lead Software Engineer for the development team to work on Rates Risk and PNL business deliveries and optimization. In this role, you will design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products. You will work at the intersection of technology and finance, delivering high-impact systems that enable critical risk management and profit & loss analysis for our trading operations. Job Responsibilities As a Senior Python Architect on our team, you will build and maintain robust software solutions for rates trading activities. You will collaborate closely with quantitative analysts, traders, risk managers, across middle and back office processing. Your work will directly support trading operations across multiple Rates products. You will be responsible for developing scalable, performant code that handles large volumes of market data and complex financial calculations. This includes implementing risk metrics, PnL attribution frameworks, and data pipelines that connect trading systems with downstream consumers. You will participate in architectural decisions, code reviews, and technical design sessions, contributing your expertise to shape the evolution of this automated platform. Required Qualifications Hands-on Python development experience Strong preference for candidates with financial services background Solid understanding of software engineering principles including object-oriented design, testing methodologies, and version control practices Demonstrated ability to write clean, maintainable code and work effectively within large, complex codebases Ability to articulate technical concepts to both technical and non-technical stakeholders Proven ability to gather requirements from business users and collaborate across multiple teams and functions Capability to translate business needs into technical solutions and explain technical constraints in business terms Willing to understand and work on legacy applications when required Willing to provide first class support to the business Preferred Qualifications Prior experience with other financial risk stack platforms such as SecDB, Quartz, or Athena Knowledge of rates products including Swaps, Securities, Options, and Repo Familiarity with risk methodologies and PnL calculation frameworks Experience with distributed systems and real-time data processing Proficiency with relational and NoSQL databases Knowledge of modern development practices including CI/CD pipelines and containerization Exposure to quantitative finance concepts and market risk measures Understanding of regulatory reporting requirements in financial services Experience is using AI tools like Claude, Copilot effectively Understanding of Cloud platforms like AWS

Information Security Manager (UK/Remote) is a smart financial app designed for your everyday life - at home and on the go. We make payments, online shopping, and personal finance management fast, secure, and effortless. With you can enjoy cashback on purchases, full control over your spending, and peace of mind thanks to purchase protection. A built-in multi-currency account lets you spend abroad or shop internationally with great exchange rates and no hidden fees. We are looking for an Information Security Manager to lead our local security strategy and collaborate with regulatory authorities, senior management, and the risk and compliance team. This role will require ongoing monitoring of UK regulations, ensuring compliance with applicable frameworks including Operational Resilience and UK GDPR. The successful candidate will collaborate closely with Information Security team members and leverage the global cyber security control framework to monitor controls and associated risks. Requirements: 5+ years of experience in information security management, ideally within financial services, banking, or payments. Experience in InfoSec and Cyber Security. Experience setting up policies and processes in InfoSec area. Familiarity with PCI-DSS, ISO27001, SOC 2/3 or other global standards. Familiarity with regulatory requirements (DORA, PCI-DSS, PSD2, GDPR). Understanding of agile development processes and devops. Strong analytical and problem solving skills. An analytical mindset with great stakeholder management and communication skills. The ability to work independently and take initiative when needed elevant information security certifications. Responsibilities: Policy and procedure localizing, writing and implementing as efficient processes. Periodic review and improvement of existing processes and policies. Conducting security vendor assessments. Monitor the effectiveness of security controls and identify areas for improvement. Performing security risk and control assessments for new products or initiatives. Working with third party InfoSec auditors (penetration testing, PCI compliance etc.). Conduct regular risk assessments and vulnerability assessments to identify security gaps and develop appropriate mitigation plans. Conducting regulatory gap analysis for regulations and local laws. Answering regulatory requests related to information security. Managing information security incidents. Oversee information security risks associated with outsourced services and intra-group arrangements. Testing the annual information security control plan in collaboration with the wider Information Security and Technology teams. What we offer: Real influence on shaping the Work in an environment where innovation and effectiveness truly matter. Competitive salary and flexible working conditions. Internal and external training opportunities.

Job ID: 36123 Job location: London, GB IT Manager, enterprise infrastructure services & cloud Why we need this role The Manager IT Infrastructure (M365, Azure, GCP, Windows & VDI) is responsible for the end-to-end delivery, operation, and performance of critical enterprise platforms, including Microsoft 365, Azure, GCP, Windows Server, VDI, and Citrix services. The role leads a team of approximately 15 engineers, ensuring the secure, stable, and efficient operation of business-critical services, while delivering roadmap initiatives, platform improvements, and automation outcomes aligned to architecture and strategy. Working closely with Architecture, Security, Development, and wider Operations teams, the role ensures solutions are delivered, integrated, and operated at scale, with a strong focus on service reliability, security, cost efficiency, and user experience. The role embeds operational excellence, resilience, automation, and governance, driving standardisation and continuous improvement across cloud, workplace, and identity platforms. Through strong leadership and execution, it reduces risk, complexity, and operational overhead, while improving service performance, stability, and cost control. What you will do Microsoft 365 Platforms: Ownership of collaboration and productivity services (Teams, Exchange, SharePoint, OneDrive, Intune), including service performance, governance, security, lifecycle, and user experience. Azure & GCP Cloud: Operational management of cloud platforms including landing zones, subscriptions/projects, connectivity, platform services, and governance controls. Windows & End User Platforms: Management of Windows Server and end-user compute platforms, including build, patching, configuration, and lifecycle. VDI & Citrix: Delivery and operation of virtual desktop environments, ensuring performance, availability, and user experience. Identity & Access: Operational ownership of Active Directory and Entra ID, including authentication, Conditional Access, privileged access, and directory services. Cloud Security & Compliance: Enforcement of secure configurations, monitoring, logging, and policy controls across all platforms. Standardisation, Automation & Tooling: Leads delivery of standardisation, automation, tooling, and operational consistency across cloud and workplace platforms. Key Accountabilities Service Delivery, Engineering & Operations Lead the build, delivery, and operation of critical infrastructure services across M365, cloud, Windows, and VDI. Ensure platforms meet availability, performance, and service level expectations. Act as senior escalation point for major incidents and service issues. Security, Resilience & Service Stability Ensure secure-by-design and operational security controls are implemented and maintained. Own resilience, recoverability, monitoring, and service continuity across platforms. Roadmap Delivery & Continuous Improvement Deliver platform roadmaps and improvement initiatives in line with architectural direction. Drive continuous improvement in automation, efficiency, and service quality. Team Leadership & Capability Development Lead and develop a high-performing engineering team (FTE & contingent). Build capability across cloud, workplace, and identity domains. Ensure effective workload management, prioritisation, and delivery. Cross-Domain Collaboration & Integration Work with Architecture, Security, Development, and Operations teams to deliver integrated services. Ensure solutions are fully transitioned, supported, and operationally sustainable. Vendor & Service Management Ensure service performance, delivery quality, and issue resolution. Operational Governance, Cost & Optimisation Ensure services are aligned to standards and governed through full lifecycle. Manage operational cost, capacity, and efficiency. Drive automation, standardisation, and reduction of technical debt and complexity. Additional Focus Areas Ownership & Accountability: Owns service outcomes across availability, security, and cost. Leadership & Team Development: Builds, leads, and develops high-performing teams. Execution & Delivery: Drives consistent, high-quality service and platform delivery. Collaboration & Influence: Works effectively across domains and stakeholders. Adaptability & Improvement: Responds to operational challenges while driving automation and optimisation. What we're looking for Extensive experience leading infrastructure engineering and operations teams in enterprise environments. Strong expertise across Microsoft 365 and workplace services, Azure and GCP cloud operations, Windows Server, VDI/Citrix, and identity (Active Directory, Entra), with robust knowledge of security, resilience, operational controls, and automation tooling. Proven ability to manage business-critical services at scale. Strong stakeholder, vendor, and team leadership capability. Excellent operational, analytical, and decision-making skills. Ownership & Accountability: Takes responsibility for delivering outcomes and driving technical excellence. Leadership & Influence: Ability to inspire, motivate, and guide team members toward achieving goals. Communication: Clear and concise verbal and written communication skills for technical and non-technical audiences. Problem Solving: Strong analytical skills to troubleshoot complex issues and implement effective solutions. Collaboration: Skilled at building relationships and working effectively across teams and stakeholders. Adaptability: Comfortable managing priorities in a fast-paced, evolving environment. Continuous Improvement Mindset: Proactive in identifying opportunities for process and technology enhancements. Qualifications Bachelor's degree in Computer Science, Information Technology, or equivalent experience. Relevant certifications (e.g., Microsoft Certified: Azure Solutions Architect, Citrix Certified Expert, VMware VCP, Google Cloud Professional Architect) preferred. Diversity and Inclusion Inclusion and valuing diversity of thought and experience are at the heart of our culture. We welcome people with diverse backgrounds and experiences, regardless of gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth. Recent Initiatives Signed the UN Women Empowerment Principles which guide our Gender Action Plan. Trained 60+ employees to be Mental Health First Aiders. Provide adjustments to our recruitment process to support candidates as required. Benefits Flexible working hours and the option to work from home. Extensive induction programme with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Programme. Internal inclusion & diversity employee networks.

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

Senior Full Stack Developer Reporting to: Engineering Manager Office Environment: Hybrid (minimum two days per week) Type: Full time, permanent Join Our Mission Skip the queue. Shape the future. See real impact. At QuantSpark, we're transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you'll work directly on the problems that matter most-whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies. Here, you'll compress 5-10 years of traditional career progression into 2-3 years. From day one, you'll lead end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain. We don't just develop - we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact. Our Client Portfolio We partner with forward-thinking organisations across sectors: Private Equity & Financial Services: Portfolio analytics, AI-powered value creation, and risk management tools for global investment and wealth firms. Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for major UK retailers and brands. Asset Management: Advanced investment platforms and automated risk management for asset managers. Public Sector: Trusted by multiple UK government departments for fraud analytics, predictive maintenance, and supply chain optimisation. SaaS & Manufacturing: Sector-spanning technology transformation for SaaS innovators and manufacturers. The Role You'll design, build, and scale web applications across backend and frontend, owning projects from ideation through to production - architecture, CI/CD, cloud infrastructure, monitoring, the lot. We're a small team that punches well above its weight. Client feedback is outstanding, and every engineer here has a visible impact. Day to day, you'll: Architect and deliver scalable, secure software for commercial clients across multiple sectors. Assess technical trade-offs and guide design decisions across projects. Write, review, and own high-quality code - primarily Python (Flask, FastAPI, or Django) and JavaScript/TypeScript (React preferred). Build and maintain RESTful APIs and modern frontends. Work directly with clients - communicating clearly, understanding the why behind what you're building. Feed into new client proposals and help improve internal engineering processes. Mentor junior developers through code reviews, pairing, and knowledge-sharing. Use AI coding agents to accelerate delivery whilst maintaining correctness and security. AI Engineering (Required) Hands-on experience with AI coding agents in day-to-day work - prompting, iterating, reviewing generated code, validating outputs. Working understanding of LLM fundamentals and limitations (hallucinations, context windows, evaluation). Familiarity with prompting patterns, tool use, and concepts like RAG and embeddings. Awareness of safety and privacy concerns when using AI tools (secrets, PII, licensing). Ability to integrate AI into your workflow without compromising code quality. What We're Looking For 5+ years' experience as a full-stack engineer. Strong track record delivering enterprise-grade web applications and APIs. Confident across Python backend frameworks and modern frontend (React/TypeScript). Comfortable owning the full product lifecycle. Proactive, accountable, and effective in small, fast-moving teams. Clear communicator across technical and non-technical audiences. Keen to broaden into a generalist whilst deepening your core strengths - not just staying in one lane. What We Offer Tech ownership and autonomy from day one. High-impact work - you'll see real results within months, not years. Room to innovate, not just maintain. A small, collaborative team that owns problems end to end and learns fast. Clients ambitious enough to rethink how they use data and technology. A clear path to leading technical programmes and shaping strategy - growth here is earned, not queued. Perks & Benefits £6,000 annual training & conference budget to stay at the cutting edge Up to 6% matched pension for long-term financial security Comprehensive private healthcare via Vitality EMI share options scheme - own a piece of the growth you help create Work from anywhere in the world for up to 1 month/year 25 days holiday + buy/sell up to 5 additional days Cycle-to-work scheme for sustainable commuting Central London office stocked with refreshments, socials, and vibrant atmosphere Exclusive discounts on retail, travel, tech & fitness memberships Access to cutting-edge tools, platforms, and regular tech talks & innovation time Equal Opportunities We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.

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 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

Senior Business Development Manager - Busuu Busuu is one of the top EdTech companies in the world, recognised for its innovation and impact in language learning. Busuu's vision is to empower people through languages, and it is the world's largest online community for language learning with over 120 million registered users. It combines AI powered courses with community feedback and real life lesson content. Responsibilities Deliver on business goals. Accurately forecast deals while managing the pipeline. Build strong insights into target customers' needs and work with the product team to adapt the value offering. Identify emerging trends in the local corporate language market and build awareness of the competitive environment. Represent the firm at local trade fairs, conferences and events. Essential Skills & Experience Fluency in Spanish and English. Extensive experience in B2B SaaS sales with a proven track record of closing deals with contract values over €200k. Excellent presentation skills. Proven ability to build a pipeline and create qualified opportunities through various channels by engaging decision makers. Knowledge of the corporate L&D landscape in Spain. Bonus Skills & Experience Additional European language experience in Ed tech or selling to L&D/Training/HR professionals. Proficiency with MEDDPICC methodology. HubSpot experience. Benefits Free breakfast, snacks, and fresh fruit at a centrally located office. Two free lunches per week chosen from a wide selection of nearby restaurants. Private health insurance scheme. Personal training budget for continuous development. Flexible working hours and a hybrid working model. Enhanced maternity and paternity leave. Social activities such as team lunches, Thursday socials, quarterly team events, and company events.

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.

We are looking for a creative, commercially focused and highly motivated individual to help drive our business development strategy. The Business Development Manager for the Blockchain and DeFi ecosystem is a high impact role that sits at the forefront of innovation in the digital asset market. You will focus primarily on decentralized finance (DeFi) use cases, globally. You'll work with the most talented people at Fireblocks across the product, legal, finance, marketing and sales functions, and engage directly with the most innovative customers and partners across the Fireblocks Network. You'll gain a deep understanding of how Fireblocks clients interact with blockchains, protocols and applications, enabling you to identify new opportunities and develop solutions to unlock new areas of growth for the business. What You'll Do Bring your commercial and innovative mindset to identify and grow new revenue streams. Identify and prioritise new blockchains, protocols and applications that will support the 2400 customers in the Fireblocks network. Create solutions that build on the core Fireblocks offering and our partner ecosystem to deliver a differentiated offering for our clients. Work with product teams to develop the solution and sales teams to test market demand. Identify, structure and implement new partnerships to provide a complete solution for our clients. Work with the legal, finance, and operations functions to build out a robust solution. Work with marketing and sales teams globally to devise and deliver the GTM strategy. Be responsible for setting, tracking and meeting a revenue target. Additionally, Focus primarily on DeFi use cases globally. Represent Fireblocks externally as a subject matter expert at events/webinars. Develop and maintain a strong network across the industry to help identify new opportunities. Support corporate development themes with market insights. What You'll Bring 5+ years of experience in crypto or venture capital, with a focus on DeFi. Deep enthusiasm for blockchain, DeFi and advancing the digital asset industry forward. Strong network in the crypto industry and track record of building and leveraging relationships to drive revenue opportunities. Strong financial background and proven commercial experience, including building a compelling business case with revenue/profit models. History of influencing and communicating effectively with senior executives, internally and externally, as well as working collaboratively with stakeholders across the organisation. Creative approach to problem solving and an entrepreneurial approach to identifying business opportunities. Ability to learn quickly and work in fast paced, high ambiguity environments, demonstrating initiative and adaptability with limited guidance. Collaborative, strategic, and low ego mindset, driven by intellectual curiosity and a desire to challenge the status quo. This is a hybrid role, in-office 2 3 days a week.

We are building the next generation of AI and autonomous agents that can reason, plan, act, and learn to solve critical problems in operations at the huge scale of the world's largest bank. As an AI Product Manager at the AI for Operations team, you will leverage your AI and leadership expertise to set strategy and lead researchers, engineers, and designers building agentic AI pipelines and orchestrations to automate bank operations and workflows. The AI for Operations team for Corporate and Investment Banking operations is transforming the bank by leveraging the latest advancements in agentic AI and LLMs.This is a high-visibility role, positioned at the intersection of product strategy, AI development, and enterprise-level operational workflows. Job Responsibilities Define and measure baseline business metrics for AI products and validate that production performance meets established goals and success criteria. Build demos and prototypes using code agents and work with cross functional teams of engineers, designers, analysts, and front office business leads to define product requirements that drive impact on our top level product strategy. Translate user and business needs into strategy and actionable requirements. Write and own user stories and Product Requirements Documents (PRDs). Contribute to our team wide and firm wide AI presentations. Required Qualifications, Capabilities, and Skills Bachelor's degree or equivalent practical experience. 2+ years of experience in product management or related technical role. 1+ years of experience in a company with strong product management culture. Experience in learning new businesses and mapping out pain points and opportunities. Experience driving full or parts of the product lifecycle for products, writing product documents, and leading tech teams from idea to alignment and through execution and launch. Familiarity with AI model architectures, such as Large Language Models, and methods such as prompting, context engineering, fine tuning, RAG, MCPs, and agentic frameworks. Great communication skills. Preferred Qualifications Advanced degree in Computer Science, engineering, or related field. Proven track record of delivering and launching successful products at scale. Experience driving tech transformation for large digital operations. Experience in presenting strategy and progress to senior leads.

Job Description The job at a glance Join our team and you'll be responsible for providing technical leadership for our Data Platform team, defining technical direction and driving architectural decisions across data, platform and infrastructure domains. Working in the Data Platform department you will build scalable, reliable and well governed data platform capabilities that support analytics, AI and business critical products, while collaborating closely with Engineering Managers, Product Managers and Enterprise Architects. This is so important to us. By joining our team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody. Your responsibilities Define and evolve the technical vision, roadmap and architecture of the Data Platform, driving decisions across data, platform and infrastructure domains Establish engineering standards, best practices and reusable patterns while partnering with Enterprise Architecture and influencing technical direction Drive engineering excellence by improving code quality, testing, observability, reliability and operational practices Support end to end delivery by guiding teams through complex technical challenges, improving decision making, and contributing to planning and risk management Mentor engineers, grow senior technical capabilities and champion AI assisted development and engineering automation Qualifications Proven experience as a Staff Engineer, Principal Engineer or in an equivalent senior individual contributor leadership role Strong background in data platforms, distributed systems and cloud native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well as batch and streaming processing Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog), with DBT or AI assisted engineering practices as a plus Your benefits 29 days holiday allowance + bank holidays Private medical and dental healthcare Pension contribution up to 10% 24/7 Employee Assistance Programme Life Assurance Cover Cycle to work scheme Hybrid working model Volunteering days and you can bring your dog to the office! Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.