112 jobs found

At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces rest on a consistent, thorough foundation. You'll operate as a force multiplier - solving the hardest problems, building the frameworks others reuse, and levelling up data scientists across teams. WHAT YOU'LL DO: Be the DS tech lead across multiple product and business teams: setting methodological standards and unblocking the hardest analytical problems across areas including Treasury, Markets, Custody, and XRPL. Partner with product and business leads to define analytics strategy: shaping which initiatives to invest in, what success looks like, and how we'll know. Build the scientific frameworks Ripple reuses at scale: product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. Pioneer AI-accelerated analytics: applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self serve exploration for non-DS partners. Drive evidence based evaluation of growth across customers, corridors, and on chain activity, surfacing the causal drivers behind adoption and volume. Define and communicate the metrics leadership runs on: translating complex results into clear narratives for Ripple executives and external stakeholders. Raise the bar for the DS function through thought leadership and mentorship across embedded teams. WHAT YOU'LL BRING: 8+ years in data science or quantitative analysis, with a track record of senior level impact across multiple teams. Demonstrated technical leadership across cross functional teams, influencing roadmaps and strategy at both executive and execution levels. Proven experience designing reusable analytics and measurement frameworks that scale across products. Hands on experience applying AI to accelerate analytics workflows (agentic analysis, AI assisted insight generation, natural language data interfaces). Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment. Expertise in Python or R, fluency in SQL, and experience with large scale data tech (Databricks, Airflow, dBT a plus). Experience with FinTech, payments, crypto, or blockchain data is a strong plus. Advanced degree (MS, PhD) in a quantitative field preferred. Exceptional communication skills - able to turn technical depth into executive ready narratives. WHO WE ARE: Do Your Best Work The opportunity to build in a fast paced start up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi weekly all company meeting - business updates and ask me any style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry leading parental leave policies. Family planning benefits. Catered lunches, fully stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.

Manager Software EngineeringApplylocations: UK - London (London Wall)time type: Full timeposted on: Posted Todayjob requisition id: R110879Are you ready for a leading Engineer role?Would you enjoy working on our cutting-edge products? About the Business LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk solutions at the link below, Responsibilities: Partnering with and leading large offshore resources to solving complex business needs, serving as the technical contact Managing your team, including interviewing, hiring, planning, assigning, directing work, appraising performance, and giving appropriate feedback Writing advanced complex code for computer systems, acting as a senior source of expertise, performing reviews, and leading development Acting as an acknowledged go-to person on coding and technical issues Recommending technical strategy and direction across functional area, participating in the the development and evolution of architecture Working directly with customers and end-users, and providing design input across a product Requirements: Have a BS degree in Engineering\_Computer Science or equivalent experience Have excellent knowledge and experience in project planning and management tools Have substantial Software Engineering experience Have experience in staff resourcing and management, including partnering and offshoring resourcing models Be able to demonstrate excellent organizational skills when dealing with multiple priorities, able to think analytically Be expert in development languages, including JAVA\_J2EE, JavaScript, JSP, C\_C++, HTML, XML, SQL, Windows, UNIX, and .Net Be a natural problem-solver and able to take a lead in collaborating to resolve issues Have excellent communication skills and the ability to convey information clearly to a wide audience Have great experience in code reviews and development approaches Be very proficient in database technology, design and manipulation, optimization, and best practice Working for you: We offer a range of benefits to support your wellbeing and life outside work, including: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work Learn more about the LexisNexis Risk team and how we work here We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Senior IT Infrastructure Officer Our Client a bank, in Central London are looking for an experienced IT Infrastructure professional who is ideally looking for their next challenge in a dynamic and regulated financial services environment. We are seeking a highly skilled Senior IT Infrastructure Officer to lead the management, security, and continuous improvement of our enterprise IT infrastructure. The Senior IT Infrastructure Officer will be playing a key role in ensuring the availability, resilience, and performance of critical systems while supporting technologies across servers, networks, cloud services, cybersecurity, and business-critical financial applications. The candidate must have strong technical expertise in Windows/Linux, VMware, Microsoft 365, networking, cybersecurity, and infrastructure management who also enjoys solving complex challenges and driving operational excellence. Must have 7 years' experience in enterprise infrastructure, ideally within banking or financial services, and be passionate about delivering secure, reliable IT services. The role will be Monday to Friday, 9:30am to 5:30pm and reporting into the Head of IT & Data. Due to the nature of the role, the individual is expected to work in our offices, 5 days per week, during their probationary period. Infrastructure & Systems Management Administer, maintain, and optimize Windows and Linux server environments. Manage VMware virtualized infrastructure (vSphere 8 and above). Oversee enterprise backup and disaster recovery solutions using Veeam Backup & Replication. Manage Veeam ONE monitoring and Veeam Recovery Orchestrator (VRO) environments. Administer endpoint security and encryption solutions, including Symantec Endpoint Protection (SEP) and Symantec Endpoint Encryption (SEE). Support endpoint DLP, SIEM, and security monitoring tools (e.g., Splunk, Tenable). Manage patching processes using ManageEngine Patch Manager Plus. Support Microsoft 365 services and related cloud technologies. In depth understanding of Cyber security Monitor system performance, capacity, availability, and infrastructure health. Ensure compliance with IT governance, security policies, and operational standards. End-User Computing & Branch Support Provide advanced desktop, laptop, printer, Mobile device (iOS) and branch office IT support. Deliver AV support for meeting rooms, conferencing, presentations, and collaboration systems. Manage OS deployment, imaging, image creation, maintenance, and software packaging. Administer Active Directory (AD), Group Policy Objects (GPOs) and user provisioning and NTFS permissions. Support Microsoft 365 applications including Outlook, Teams, OneDrive, and SharePoint. Resolve technical incidents and service requests in line with agreed SLAs. 3. Enterprise Applications & Financial Systems Support Support and administer business-critical applications, including Bloomberg FXT and Refinitiv Eikon, Murex Treasury System, SWIFT Alliance Access (SAA), 1AML, SIBS, GFMS, COP. Support enterprise file synchronization and replication solutions (e.g., Syncovery, other SFTP). 4. Networking Configure and support Cisco switches and routers. Administer FortiGate firewall environments. Strong network fundamentals: DNS, DHCP, TCP/IP, LAN/WAN, Routing and connectivity troubleshooting. Monitor network performance, availability, and security posture. Security & Endpoint Management Support vulnerability management using tools such as Tenable. Manage security monitoring and log analysis tools (e.g., Splunk). Perform SSL/TLS certificate lifecycle management using OpenSSL. Create and manage CSRs, certificate chains, and private keys. Ensure adherence to cybersecurity policies, standards, and regulatory requirements. Support physical access control systems (e.g., Paxton). Operating Systems Windows 11 Windows Server 2019/2022 (or equivalent enterprise environments) Red Hat Linux Infrastructure & Virtualization VMware vSphere / vCenter (v8.0.3 and above) Veeam Backup & Replication Veeam ONE, VRO Microsoft Office 365 ManageEngine Patch Manager Plus SAAS solutions SQL Server Hardware & Storage Dell PowerEdge Servers Dell PowerVault SAN Storage Education Bachelor or Master's degree or professional qualification in relevant discipline (IT/Information Systems/Computer Science/Technology/Programming/Information Science/System Engineering/Computing) The role is based in Central London and initially will be in the office 5 days per week. This is a 12 month FTC position. The salary for the role will be circa £70K - £75K.

At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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 Solutions Architect - Email & Collaboration Security - London UK Why This Role ExistsThe Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI augmented threats, sprawling collaboration surfaces, multi cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait. This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job. The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI First Ways of Working Mimecast is an AI first engineering organisation and this is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis. This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data contract stability, and evaluation coverage for AI driven features. Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. ECS Domain Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution SpaceThe role engages at the problem framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product ArtefactsThe durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural ContextEngineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without BlockingGovernance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit EconomicsInfrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every AltitudeA one page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs to be done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self Direction and Strategic Initiative A proactive self starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud native security SaaS What We Offer Impact: architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice: a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers: a small, high trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Equal Opportunity Employer Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.

Senior Architect - Email & Collaboration SecurityApplylocations: Great Britain - Londontime type: Full timeposted on: Posted Todayjob requisition id: R6496 Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role Exists The Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI-augmented threats, sprawling collaboration surfaces, multi-cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait.This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job.The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI-First Ways of Working Mimecast is an AI-first engineering organisation. This is not a cultural aspiration - it is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis.This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data-contract stability, and evaluation coverage for AI-driven features.Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. The ECS Domain ECS covers the following product and capability areas: Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution Space The role engages at the problem-framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product Artefacts The durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first-class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI-assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without Blocking Governance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit Economics Infrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every Altitude A one-page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring Breadth Over Depth - and Knowing the Difference 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product-shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade-offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs-to-be-done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one The Right Mindset for Complex, Inherited Systems An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well-reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self-Direction and Strategic Initiative A proactive self-starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem-solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud-native security SaaS What We Offer Impact : architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice : a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers : a small, high-trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product-shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.

The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. We're looking for a Senior Business Development Manager in iwocaPay We are seeking an experienced, strategic, and results-driven person to join our team. Building on the core BDM responsibilities of identifying, engaging, and onboarding mid market UK B2B suppliers. The Senior BDM operates at an elevated level - driving strategic direction, mentoring junior team members, and shaping the overall sales function. The ideal candidate will have a proven track record in senior-level business development, deep expertise in the e-commerce and fintech landscape, and the ability to lead from the front. The team iwocaPay works with sellers to offer innovative Trade Credit and BNPL solutions for business customers. Those merchants are essential to our success as we need them to offer iwocaPay to their customers who in turn use us to spread the cost of their purchase. The role Seller Acquisition & Strategy: Lead and evolve the approach to identifying and prospecting mid market UK B2B suppliers Relationship Building: Build and maintain strong, senior-level relationships with key stakeholders in e-commerce businesses, including Managing Directors, and C-suite contacts, by creating urgency and trust. Consultative Selling: Speak with skill, passion, and effectiveness across different buyer personas, frequently adapting the pitch to demonstrate a genuine understanding of prospects' needs, including complex or uncertain scenarios. Onboarding and Support: Guide sellers through the onboarding process with precision and adaptability, ensuring a smooth integration with iwocaPay. Facilitate seamless handoffs from sales to key account managers, so sellers progress through launch activities and activate without friction or delays. MEDDIC Framework: Demonstrate a strong grasp of the MEDDIC framework, consistently applying it to inform decisions on prospect engagement and coaching the team on how to better leverage the method. Team Development: Participate in and host sales call listening sessions to help train and develop junior team members. Lead from the front in identifying operational gaps and assembling the appropriate training resources and solutions. The requirements At least 3-5 years in sales roles (ideally in the fintech space), selling complex products and services to senior stakeholders Have the ability to multi-thread effectively - building deep product knowledge across multiple buying personas and navigating complex organisational structures to engage the right stakeholders at the right time Be comfortable working within a defined ICP framework - able to quickly qualify and prioritise the right opportunities, ensuring time and energy is focused on accounts most likely to convert and deliver long term value Demonstrate a strong track record of not only meeting, but consistently exceeding KPIs and inspiring the wider team to do the same Demonstrates curiosity to use and learn more about AI tools. You'll already be comfortable using AI tools in practical ways - for example, researching prospects, drafting communications, or synthesising market information - showing good judgement about when to use them and the ability to explain the reasoning behind that use. Be smart, perceptive, nimble, and proactive - you pay attention to detail and always start with the question "Why?" Be humble - willing to help others, a team player, responsible, and critical of yourself, not just others Be motivated, enthusiastic, and highly committed, with an entrepreneurial spirit that thrives in a dynamic, ever-changing environment Be resilient - you stand tall even in the toughest times Have a growth mindset - you strive for continuous improvement and always push yourself and your team to be better The salary We expect to pay from £49,000-£55,000 + monthly performance related bonus for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links iwoca benefits & policies

Why Socure? Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading. About the Role The Big Data R&D team develops cutting edge big data and graph based solutions for entity search, entity resolution, and identity matching that power Socure's KYC and compliance products. As a Senior Data Scientist I, you will lead the design and deployment of advanced ML and graph algorithms on large-scale PII datasets, own end to end projects from problem definition through production validation, and serve as a key technical partner to Product, Engineering, and Client facing teams. You will help define standards for feature engineering, experimentation, and data quality across our identity graph stack, with substantial impact on coverage, accuracy, and fairness. What You'll Do Own the design, development, and evaluation of machine learning, statistical, and graph-based algorithms for entity-resolution, identity trust scoring, and anomaly detection on massive datasets. Architect and optimize graph-based identity representations (identity graph structure, linkage rules, clustering) to improve match rates, reduce false positives/negatives, and support downstream fraud and KYC models. Build and maintain scalable data pipelines and feature stores in Spark/PySpark (or Scala), including data normalization, deduplication, and feature computation across large PII datasets in AWS/Databricks environments. Lead A/B tests and offline/online experimentation for new models, features, and data sources; define success metrics, design experiments, and ensure rigorous validation before rollout. Evaluate new internal and external data sources: explore signal quality, design backtests, quantify incremental value, and provide clear recommendations on vendor selection and integration. Partner closely with product managers and engineers to translate ambiguous business and regulatory requirements (e.g., KYC coverage, watchlist matching) into concrete modeling and data roadmaps. Provide deep analytical support to Socure's compliance and regulatory product suite, including investigative analyses, root cause analysis for anomalies, and clear narratives for internal and external stakeholders. Contribute to model governance and documentation: clearly explain model logic, data dependencies, limitations, and monitoring plans to internal risk/compliance stakeholders. Mentor junior data scientists and engineers on best practices in data exploration, feature engineering, experimentation, and code quality. Communicate complex technical concepts and trade offs in a concise, structured way to both technical and non technical audiences (e.g., product reviews, customer meetings, internal briefings). What You Bring Master's degree with 3+ years of relevant industry experience, or Ph.D. with 1+ years of experience in applied ML / data science roles; background in Computer Science, Statistics, Mathematics, or related quantitative fields preferred. Strong proficiency in Python (preferred) or Scala, including experience with ML libraries such as scikit learn, XGBoost, TensorFlow or PyTorch. Extensive experience with Spark or PySpark and distributed data systems (e.g., AWS EMR, Databricks) working on very large, messy datasets. Deep understanding of supervised and unsupervised learning, feature engineering, model evaluation, and experiment design (A/B testing, holdout strategies, stratification). Experience developing production-quality data pipelines and automated workflows using Airflow or similar orchestration tools. Practical familiarity with graph databases and/or graph frameworks (Neo4j, AWS Neptune, GraphFrames, DGL, PyTorch Geometric) and graph algorithms for clustering, link prediction, and community detection is strongly preferred. Solid SQL skills and experience working with large-scale analytical data stores. Experience in at least one of: identity verification, fraud detection, credit risk, or adjacent high stakes domains is a plus. Demonstrated ability to lead medium to large projects end to end, make sound trade off decisions under ambiguity, and influence cross functional stakeholders with data and clear reasoning. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly. Please note that sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered.

Job Overview Senior Developer - Digital Delivery Hub (Data Technology and Innovation). Location: Leeds Salary: £65,000 - £80,000 Grade: Lead Associate - Regulatory Office Responsibilities Lead the delivery of high quality digital solutions by guiding development activity, mentoring colleagues and strengthening team capability to achieve successful outcomes. Take ownership of technical incidents, support issues and defect resolution to ensure reliable services and minimise disruption for users. Deliver development artefacts aligned to product requirements, enabling the creation of scalable and effective digital products that meet business needs. Champion engineering best practice by leading initiatives that enhance ways of working and contribute to a growing community of practice across the organisation. Influence wider engineering strategy by sharing technical insight and identifying opportunities to improve development standards and delivery capability. Foster a culture of continuous improvement by promoting agile ways of working, collaboration and ongoing professional development across the team. Play a key role in shaping the future of digital delivery, contributing to high profile projects that support organisational objectives and improve outcomes for consumers. Build technical and regulatory expertise while benefiting from flexible working, a supportive environment and an inclusive culture that values diverse perspectives and innovation. Requirements Minimum: Experience as a Senior Developer with a solid understanding of software engineering principles and their application. Experience of Cloud Native development, ideally on AWS. High level of experience in either Java or C# and React or Angular. Essential: Degree level qualification in Computing, Computer Science or a related discipline, or equivalent practical experience gained within software engineering environments. Strong understanding of development automation, using tools and practices that improve efficiency, quality and software delivery outcomes. Effective communication skills with the ability to engage confidently within multidisciplinary teams and with a broad range of stakeholders. Proven ability to collaborate with engineers, designers, product managers and analysts to deliver high quality solutions aligned to user and business needs. Commitment to software engineering best practice, producing high quality code that is coherent, loosely coupled, maintainable, well documented and fully testable. Ability to evaluate, select and apply innovative development approaches, adapting practices and frameworks to meet technical and delivery requirements. Experience working within agile environments, alongside Solution and Technical Architects, with an understanding of system architecture, implementation trade offs and Continuous Integration and Continuous Delivery practices. Benefits 25 days annual leave plus bank holidays. Hybrid working model - a minimum of 40% in the office each month (expectation of 50% for senior leaders). Non contributory pension (8-12% depending on age) and life assurance at eight times your salary. Private healthcare with Bupa, income protection and 24/7 Employee Assistance. 35 hours of paid volunteering annually. A flexible benefits scheme designed around your lifestyle. Equality & Diversity We are a Disability Confident Employer and are committed to fostering a diverse and inclusive culture free from discrimination and bias, supporting colleagues to deliver at their best.

Senior IT Infrastructure Officer Our Client a bank, in Central London are looking for an experienced IT Infrastructure professional who is ideally looking for their next challenge in a dynamic and regulated financial services environment. We are seeking a highly skilled Senior IT Infrastructure Officer to lead the management, security, and continuous improvement of our enterprise IT infrastructure. The Senior IT Infrastructure Officer will be playing a key role in ensuring the availability, resilience, and performance of critical systems while supporting technologies across servers, networks, cloud services, cybersecurity, and business-critical financial applications. The candidate must have strong technical expertise in Windows/Linux, VMware, Microsoft 365, networking, cybersecurity, and infrastructure management who also enjoys solving complex challenges and driving operational excellence. Must have 7 years' experience in enterprise infrastructure, ideally within banking or financial services, and be passionate about delivering secure, reliable IT services. The role will be Monday to Friday, 9:30am to 5:30pm and reporting into the Head of IT & Data. Due to the nature of the role, the individual is expected to work in our offices, 5 days per week, during their probationary period. Infrastructure & Systems Management Administer, maintain, and optimize Windows and Linux server environments. Manage VMware virtualized infrastructure (vSphere 8 and above). Oversee enterprise backup and disaster recovery solutions using Veeam Backup & Replication. Manage Veeam ONE monitoring and Veeam Recovery Orchestrator (VRO) environments. Administer endpoint security and encryption solutions, including Symantec Endpoint Protection (SEP) and Symantec Endpoint Encryption (SEE). Support endpoint DLP, SIEM, and security monitoring tools (eg, Splunk, Tenable). Manage patching processes using ManageEngine Patch Manager Plus. Support Microsoft 365 services and related cloud technologies. In depth understanding of Cyber security. Monitor system performance, capacity, availability, and infrastructure health. Ensure compliance with IT governance, security policies, and operational standards. End-User Computing & Branch Support Provide advanced desktop, laptop, printer, Mobile device (iOS) and branch office IT support. Deliver AV support for meeting rooms, conferencing, presentations, and collaboration systems. Manage OS deployment, imaging, image creation, maintenance, and software packaging. Administer Active Directory (AD), Group Policy Objects (GPOs) and user provisioning and NTFS permissions. Support Microsoft 365 applications including Outlook, Teams, OneDrive, and SharePoint. Resolve technical incidents and service requests in line with agreed SLAs. Enterprise Applications & Financial Systems Support Support and administer business-critical applications, including Bloomberg FXT and Refinitiv Eikon, Murex Treasury System, SWIFT Alliance Access (SAA), 1AML, SIBS, GFMS, COP. Support enterprise file synchronization and replication solutions (eg, Syncovery, other SFTP). Networking Configure and support Cisco switches and routers. Administer FortiGate firewall environments. Strong network fundamentals: DNS, DHCP, TCP/IP, LAN/WAN, Routing and connectivity troubleshooting. Monitor network performance, availability, and security posture. Security & Endpoint Management Support vulnerability management using tools such as Tenable. Manage security monitoring and log analysis tools (eg, Splunk). Perform SSL/TLS certificate lifecycle management using OpenSSL. Create and manage CSRs, certificate chains, and private keys. Ensure adherence to cybersecurity policies, standards, and regulatory requirements. Support physical access control systems (eg, Paxton). Operating Systems Windows 11 Windows Server 2019/2022 (or equivalent enterprise environments) Red Hat Linux Infrastructure & Virtualization VMware vSphere / vCenter (v8.0.3 and above) Veeam Backup & Replication Veeam ONE, VRO Microsoft Office 365 ManageEngine Patch Manager Plus SaaS solutions SQL Server Security Symantec Endpoint Protection (SEP) Symantec Endpoint Encryption (SEE) SentinelOne - EDR/XDR Endpoint DLP solutions Firewall administration Vulnerability management tools (eg, Tenable) SIEM tools (e.g., Splunk) Hardware & Storage Dell PowerEdge Servers Dell PowerVault SAN Storage Education Bachelor or Master's degree or professional qualification in relevant discipline (IT/Information Systems/Computer Science/Technology/Programming/Information Science/System Engineering/Computing). The role is based in Central London and initially will be 5 days per week in the office. This is a 12 month FTC position. The salary for the role will be around £70K - £75K.

London (hybrid, 3 days in office) Data Science at Marshmallow Our Data Science team partners across the business to turn data into better decisions, smarter products, and simpler customer journeys. We work closely with Product, Engineering, and Operations to build and ship models and AI systems that are reliable in production and deliver measurable impact. Within Data Science, this role sits in Claims, supporting the function and the broader ambition to automate more of the claims journey. Claims is one of Marshmallow's most important customer touchpoints, and we're looking for a Senior Data Scientist who can provide technical expertise across traditional ML and Generative AI, bring system-level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions. What you'll be doing Build and iterate on multimodal AI models that reduce claims cost and improve claims processing, including models that analyse emails, documents, and claim summaries for operational teams Develop machine learning models that support claims automation, including use cases such as negotiation strategies, litigation strategies, and total loss prediction Explore and evaluate new data sources that could improve model performance and decision-making, such as fraud signals, open banking, and telematics data Design and build agentic AI solutions to automate and streamline claims workflows Collaborate closely with Product, Data, and Engineering teams to test hypotheses, develop new features, and turn ideas into production ready solutions Work with the MLOps team to improve data science and AI model infrastructure, including deployment, monitoring, evaluation, and feedback loops Help define the right technical approach for problems, balancing speed, quality, and scalability while ensuring solutions are practical for the business Set a strong standard for experimentation, measurement, and model performance, helping the team understand impact, uncertainty, and trade offs clearly Who You Are You think in systems: you can connect the dots between data science, engineering, and product to shape scalable solutions that build on each other over time. You're confident in challenging assumptions and pushing for the right approach, using strong communication skills to influence stakeholders across seniority levels and disciplines with clear, pragmatic reasoning. You thrive in ambiguity and change, staying resilient and effective during transitions while bringing structure, clarity, and momentum to complex problem spaces. You're motivated by real world impact, partnering closely with cross functional teams to drive meaningful automation and better customer outcomes across the claims journey. What You'll Bring Strong commercial experience delivering end to end machine learning solutions, from problem framing and experimentation through to production deployment and ongoing monitoring Hands on experience building and shipping production AI or machine learning systems, including evaluation, quality considerations, and integration into operational workflows Experience working on applied problems involving structured and unstructured data, with an interest in multimodal modelling and AI systems A strong statistical and modelling foundation, with experience working on risk based decisioning or other complex, uncertain problem domains Proven ability to work cross functionally with Product, Engineering, Operations, and MLOps to deliver scalable solutions Strong communication and stakeholder management skills, with confidence in discussing trade offs and pushing back constructively when needed Perks of the job Bonus scheme designed to reward high performance Private medical insurance with Vitality, mental health support with Oliva Personal learning budget and 2 dedicated L&D days a year Monthly flexible benefits budget to spend as you choose 25 days holiday plus bank holidays 4 weeks Work From Anywhere per year We are able to offer visa sponsorship for this position. Our process Initial call with a member from our Talent Team (30 mins) Past Experience interview with Hiring Manager (60 mins) Technical interview with a couple of the team (90 mins) Culture interview (60 mins) Diversity of thought We know the best ideas come from having different perspectives in the room - and we're committed to hiring fairly, regardless of background, identity or experience. If you see yourself in this role, we'd encourage you to apply.

At AKQA, we believe in the imaginative application of art and science to create beautiful ideas, products and services. With an entrepreneurial and collaborative approach, we design and build adaptive digital products, services and experiences that capture the imagination and deliver impressive returns for our clients. We are looking for a senior, architecture-led Principal Engineer to join our London Tech team as a Technical Lead. This is a hands on engineering role, not a strategy only or evangelism position. You will spend the majority of your time designing, building and shipping enterprise grade systems, with roughly 65 to 70% hands on delivery and 30 to 35% technical leadership, architecture and team guidance. You will lead the technical direction of complex client programmes across MACH architectures and production Generative AI; spanning Design to Code workflows, solution design and API contracts through to cloud infrastructure, deployment and ongoing operation. You will own architecture decisions, write and review production code, and mentor engineers, while remaining accountable for what ships, not just what is proposed. Production Generative AI experience is essential. You must have at least three years' experience working with Generative AI, and have delivered at least one AI capability into a live, enterprise environment; not limited to prototypes, proofs of concept or demo builds. We need engineers who understand retrieval pipelines, evaluation, cost, governance and operational reliability at scale. AKQA is advanced in Design Systems and Design to Code practice; from Figma design systems through to UI development and application delivery. Generative AI is increasingly embedded across this design-to-application workflow, accelerating the path from design intent to production ready code and experiences. The Principal Engineer (Tech Lead) is a key technical contributor across the programme lifecycle, working closely with Technical Managers, cross-discipline teams and on shore, off shore and hybrid engineering squads. This role sits at Principal or Staff Engineer seniority, aligned with our Technical Managers and Technical Architects in scope and influence. While client facing and influential, the role is technologist first. You may occasionally support pre sales scoping or technical pitches, but your primary value is deep engineering craft, sound system design and reliable enterprise delivery. Technical architecture and hands on engineering capability are mandatory. Based in London (Farringdon), in a hybrid working environment, frequently collaborating with our global studios and partners, you will enjoy working in a team of highly skilled people, all with strong opinions about various technologies, frameworks and approaches. You will articulate your ideas to colleagues effectively whilst also taking on board the ideas of others and remaining solutions focused. You will thrive when faced with new challenges, view them as opportunities and constantly look to improve client offerings. You will work in a progressive environment that fosters a meritocratic culture, surrounded by some of the brightest minds in their fields. As a Principal Engineer (Tech Lead) at AKQA, you will be inspired by technology and have a passion for building robust, scalable solutions that perform in production. ROLE REQUIREMENTS Generative AI and Intelligent Experience Architecture Minimum three years' experience with Generative AI, including proven experience shipping at least one AI solution to production in an enterprise context (beyond prototypes or sandbox experiments) AI architecture for experience platforms: system design for intelligent products and services, including RAG, GraphRAG, agent orchestration and proximity / relevance evaluation Hands on implementation with Vercel AI SDK, Vercel AI Cloud and agentic cloud patterns for production AI experiences AI content and data engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design Integration across cloud AI services (e.g. GCP + Vertex AI, Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API led landscape; with preference for GCP and Vercel, or suitable equivalents on AWS and Azure, and the capability to draw parallels across platforms GEO and LLM optimisation: experience designing intelligent experiences and content structures optimised for generative engine discovery and LLM retrieval AI cost value analysis, observability, governance, testing and evaluation frameworks for production systems Practical application of Generative AI to marketing and experience challenges; e.g. personalisation, content generation, campaign optimisation; with measurable production outcomes Design Systems and Design to Code Design to Code workflow: advanced Design Systems thinking; experience bridging design intent through to UI development and production application builds Generative AI in the design-to-application process: applying Gen AI to accelerate, validate and quality assure the path from design to shippable code and experiences Design and delivery tooling: experience with Figma, Cursor, Claude and Vercel v0 advantageous Platform, Architecture and Engineering MACH architecture: microservices, API first, cloud native and headless composition; minimum eight years' experience designing and delivering MACH based enterprise platforms Cloud platforms: deep hands on experience across GCP and Vercel, with strong capability on AWS and/or Microsoft Azure; infrastructure design, security and operational ownership, and the ability to draw parallels across cloud providers API design: RESTful and GraphQL APIs, contract first design, versioning, gateway patterns and integration across SaaS, CMS, DXP and MarTech stacks Distributed systems and event driven architecture: messaging, async workflows, resilience patterns, idempotency and at scale system behaviour Backend and platform engineering: advanced server side development (Python recommended; additional languages a plus), service design and performance optimisation Infrastructure as Code and CI/CD: automated build, test and deployment pipelines (e.g. Terraform, GitHub Actions, Azure DevOps, GitLab) Cloud and edge hosting: GCP, Vercel, AWS, Azure, Netlify and related deployment models Front end integration literacy: HTML, CSS, JavaScript and js + React; mobile technologies (SwiftUI, Kotlin, Flutter or React Native) advantageous CMS, DXPs, MarTech and SaaS integration in complex enterprise landscapes; including headless CMS platforms such as Contentful, Sanity, ContentStack or similar Workflow and delivery tooling: GitHub, Bitbucket, GitLab, Atlassian, Azure DevOps, CI/CD cloud functions or similar Automation, quality assurance and non functional requirements: security, performance, reliability and maintainability QUALITIES AND CHARACTERISTICS Must be from a senior engineering, platform or architecture background; Principal, Staff or equivalent depth of hands on experience Builder first mindset: you lead by doing, with architecture informed by what you have shipped in production A continuous improvement approach to engineering practice and team ways of working Proactive self starter with acute attention to detail and drive for improvement Practically minded: excellent work in production matters more than abstract thought leadership Advocate for improvements to processes, quality, security and operational excellence Analytical, creative and positive mindset with a personable and professional approach Sharp attention to detail and a passion for new technology, staying abreast with the latest developments in the industry Professional written and verbal communication Able to explain complex technical decisions to non technical audiences (clients, stakeholders and team members) Champion continuous improvement and best in class software development processes Contribute to technical discovery and be proactive in proposing engineering solutions to needs that other disciplines may not be aware of. RECENT GENERATIVE AI WORK A selection of recent Generative AI work from across AKQA: Google: Bringing emotion and intuition back to online shopping Netflix: It's What's Inside - The Game Nike: Never Done Evolving Explore our extensive range of benefits. We believe great work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach including required in office days. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. AKQA is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. About the role The Product & Engineering team is responsible for designing, building and scaling Data & AI products that power intelligent experiences, decisions and actions across the Tesco ecosystem. Working in close partnership with business and technology teams across Stores, Finance, People, Customer and Commercial, we enable these seamless build, integration and adoption of Data & AI capabilities that deliver measurable value. This is an opportunity to play a leading role in shaping a new generation of Data & AI products, from problem definition through to launch and scale, driving meaningful impact for Tesco colleagues and the wider business. This is a hybrid role with the expectation of being based at our London and Welwyn Garden City offices 3 days a week. You will be responsible for The Software Development Engineer III is a senior, hands on engineer specialising in building and operating GenAI powered products, including LLM based applications and agentic workflows that enable intelligent decision making and automation. The role spans the full product lifecycle, translating complex business problems into production grade solutions across data, backend services, APIs and user facing applications, with a strong focus on reliability, guardrails and real user impact. The role also provides technical leadership by designing shared GenAI capabilities, supporting live systems and raising engineering and AI delivery standards across the team through mentoring and rigorous design practice. Data & AI Product Development: Take ideas from discovery through rapid prototypes to production grade solutions that combine data, user facing applications and backend services. Work closely with product managers, designers, data science and engineering teams to translate business needs into well designed technical solutions. Design and deliver LLM based applications and AI agents that enable intelligent decision making and automation, applying pragmatic engineering patterns and appropriate guardrails. Design and consume APIs that support responsive, intuitive UIs, working across backend, data and frontend layers to deliver coherent, production-ready experiences. Build shared capabilities (libraries, templates, services, prompts/config patterns, evaluation suites) that reduce duplication and enable other squads to adopt GenAI safely and consistently. Support and operate live systems, troubleshoot complex issues, perform root cause analysis and continuously improve reliability, quality and speed of delivery. Build and maintain web-based user interfaces using React.js, modern JavaScript / TypeScript, HTML and CSS, enabling colleagues to interact effectively with data and AI based tools. Technical Excellence: Promote strong software engineering practices across backend and frontend development, including CI/CD, testing, secure by default development, performance optimisation and observability. Technical Leadership: Provide hands on technical leadership through design reviews, mentoring and knowledge sharing, helping raise engineering standards across the team. You will need Strong experience as a senior software engineer delivering and operating production systems. Solid backend engineering experience (e.g. Python or similar), including API design, testing, CI/CD and operational support. Practical experience building LLM-powered applications (e.g. copilots, assistants, agent based workflows), with a focus on reliability and real user impact. Good working knowledge of React.js and modern JavaScript / TypeScript, with experience building and maintaining production web interfaces. Proficiency with HTML and CSS, and an understanding of usability, accessibility and performance considerations. Experience working across data, backend and UI layers, collaborating with others rather than owning every layer in isolation. Ability to make thoughtful technical trade offs, communicate clearly with both technical and non technical stakeholders and work effectively in a product led team. What's in it for you Annual bonus scheme of up to 20% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) Private medical insurance 26 weeks maternity and adoption leave (after 1 year service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay; we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing