10116 jobs found

Starling Bank is the UK's first and leading digital bank on a mission to fix banking with more than 3,000 people in our UK offices and 4 MILLION customers in the UK! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. Now we present Engine by Starling. Engine by Starling is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and over a year ago we split out as a separate business. We are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. At Engine by Starling, our technologists are at our very heart and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Engine is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, and discovering to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of place of work in London, so that we're able to interact and collaborate in person. About the role As a Solution Architect (SA) you will use your understanding of the Engine technology and architecture to explain the Engine product, uncover client requirements and support the design of client solutions. You will be involved in both the sales and delivery phases of a project as well as ongoing client success, collaborating with teams across Engine in Technology, Delivery, Product, Client Success and Business Development. Supporting these activities on client sites means the role will require travel around Europe, and occasional further travel. What you'll get to do: This role blends deep technical expertise with strong communication and collaboration skills. You'll become an Engine expert, understanding its architecture, technology, and functionality, allowing you to effectively communicate its capabilities and value to both technical and non-technical audiences. You'll lead on technical designs during the Engine implementation phase, building relationships with a variety of stakeholders within clients and SI partners such as their Engineering leads and Service Owners. You will work closely with our clients and SI partners on the technical detail of implementing Engine, providing solutions to identified requirements and working with our Product and engineering teams to fulfil them. Your contributions will also extend to shaping Engine's product roadmap and supporting existing clients with additional capabilities to meet their strategic aims. You'll help them maximise Engine's current and future capabilities to solve their requirements and meticulously document scope and roadmap decisions to guide subsequent delivery waves, bringing in expertise from our Product Owners and engineering teams where required. You will also be a technical champion for our existing clients, ensuring their ongoing success. This includes taking ownership of the technical aspects of client deliveries, collaborating closely with our SI partners to overcome challenges and achieve seamless integrations. You'll provide expert guidance to client engineering teams, using documentation, API specifications, and sequence diagrams to foster a deep understanding of Engine's architecture and functionalities. Additionally, you will collaborate closely with our Client Success team to troubleshoot technical issues, translate client needs into new technical requirements, and architect innovative solutions that enhance the Engine platform. Must Have: Experience of end-to-end software engineering / solution architecture across the software delivery lifecycle Experience with software service design and integration, such as RESTful APIs, OpenAPI specification and sequence diagrams Experience of cloud infrastructure and large-scale cloud applications Experience working in a client-facing role and building relationships with stakeholders Strong interpersonal communication and collaboration skills. Experience delivering complex messaging to technical and non-technical stakeholders. Nice to Have: Experience relating to retail or business banking, core banking, card processing or payments. Experience of delivery and implementation of core banking or large-scale digital transformation programmes, application migration and solution integration Commercial acumen with experience of building business cases Experience in a SaaS organisation in a Client Solutions or Client Engineering role Knowledge of financial regulations around the world About you: You have a focus on delivery and getting things done for a client You have the ability to work well with people from a variety of levels, roles and technical backgrounds You're able to communicate clearly about technical subjects You're comfortable working in a varied role, collaboratively in a team, with a flat structure You're comfortable travelling nationally to our London office (initial upskilling will require a period of time working with our Engineers & Product team in London) You're comfortable travelling internationally Interview Process: Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: First Interview (45 mins) - Phone/Video call with existing Engine team members. Second Architecture Interview, including small presentation/system design (90 mins) Final Interview (30 mins) 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Nova Hunte Ltd is hiring a Solutions Architect based in Chiswick, London. The ideal candidate will have over 8 years of experience in data management and enterprise-scale applications. This role involves providing architectural oversight, mentoring architects, and engaging stakeholders to ensure alignment with business needs. Strong AWS experience and leadership capabilities are essential for success in this dynamic environment.

At we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we're serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration. We are scaling our engineering teams in London and we are looking for experienced Software Engineers. This is an exciting opportunity to shape the future of our Engineering teams here! You'll drive the development of infrastructure features that shape our product's future from UI to database. You will join our Data application group, which is building a groundbreaking new Data Platform, on top of mondayDB 3.0. The group is focused on providing high scale solutions and ability to gain insight from the data. The group owns both deep tech stack along with client facing end to end experience. Explore the future of monday with mondayDB. Dive deeper into the architecture of mondayDB 1.0. Check out our Engineering Blog - Please note this is a hybrid position of 3 days/week in our London office (Fitzrovia). About the role You'll work with experienced and highly talented engineers who are passionate about what they do, using cutting edge technologies in a data and impact driven environment. We foster a culture of transparency, full ownership, teamwork, and a no ego policy. Our engineering department consists of multiple groups, each responsible for a critical domain within the product. With over 800 engineers, we operate in cross functional teams, collaboratively defining, improving, building, and delivering features. What you'll do: Play a key role in shaping our product architecture and engineering excellence. Evolve our architecture and engineering practices to support the ever growing scale of users, features, and data. Work alongside experienced and highly skilled developers in a CI/CD environment with cutting edge technologies. Collaborate closely with Product and Design teams, taking full ownership and responsibility from conception to post deployment in a fast paced, dynamic environment. Tech stack: React.js, Redux, Node.js, Ruby on Rails, AWS, DynamoDB, Redis, MySQL. Prior experience with our tech stack is not required; we welcome people willing to learn. Requirements: 6+ years of experience as a Software Engineer. Strong technical expertise with a proven track record of building products that people love and use daily. Full stack development experience, with a primary focus on backend. Experience developing large scale, user facing web products. Deep product understanding and a passion for creating software that delivers an exceptional user experience. Strong team player with excellent communication skills and empathy. Commitment to quality and simplicity in engineering and product development. What can offer you: Opportunity to join a well funded, publicly listed company with big ambitions and strong growth potential. Competitive base salary, bonus, and RSUs. Private healthcare insurance, critical illness, and life insurance coverage. Pension contributions matched up to 7%. ClassPass membership. Buffet breakfast and lunch provided at the office, Monday to Thursday. Fully dedicated learning and development team that provides opportunities for our employees to hone and gain new skills. Fun team events, socials and offsites. Amazing company culture that values transparency and collaboration while never forgetting to have fun while we work! We've been named Best Place to Work in the UK. A global, dynamic and passionate environment with employees in Tel Aviv, New York, San Francisco, Miami, Chicago, Denver, London, Warsaw, Sydney, São Paulo, and Tokyo.

Cacheflow is seeking a Forward Deployed Engineer in the Greater London area to work with customers on data and AI challenges. You will lead the architecture and deliver production-grade systems while ensuring the solutions are aligned with customer needs. The ideal candidate has extensive experience in data engineering, familiarity with cloud ecosystems, and a passion for customer success. Join us to drive impactful solutions with a focus on integration and transformation.

The Chief Data and Analytics Office (CDAO) builds enterprise scale platforms for Data Management, Analytics, and AI/ML Operations used firm wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data. As the Data Catalog Product Manager, you will play a pivotal role in building a unified, multi channel data marketplace where thousands of firm wide datasets become easy to find, preview, and integrate across application and AI use cases. You will own the end to end vision, strategy, and execution - spanning a rich web UI, programmatic APIs, and future agentic integrations (Claude, Copilot, internal AI assistants) that meet consumers where they already work. We want someone who leads with problems, not solutions - who brings deep UX and service design expertise, has built catalog or marketplace products at scale, and can articulate how intelligent discovery evolves in an agentic AI world. What You'll Do Own the Catalog Vision & Strategy Define the multi year product vision and roadmap for firm wide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north star metrics tied to real impact: time to data, publishing velocity, discovery to integration conversion, repeat usage, and governance compliance. Own the full lifecycle from problem discovery delivery adoption iteration. Design a World Class Discovery Experience Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle, Spotify, App Store). Build for Multi Channel: UI, API & Agents Architect an API first platform powering a beautiful web UI today and programmatic access for code first engineers. Meet consumers in their daily tools - notebooks, IDEs, orchestration platforms, chat interfaces, copilots - eliminating context switching. Design composable, reusable solutions that integrate with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access - self service provisioning, entitlement workflows, one click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups. Collaborate with Engineering, Design & Data Science Work with UX designers and researchers on usability testing, rapid prototyping, and user validation. Write detailed PRDs and technical documentation that engineers and consumers can act on. Lead & Influence the team Influence cross functional stakeholders - engineering, architecture, data science, governance, UX, and senior business leaders. Mentor and develop junior product managers. Required Skills 8+ years in technical product management delivering catalog, marketplace, or discovery platforms from ideation to production at scale. Deep UX & service design sensibility - passion to build clear, intuitive and scalable UI experiences. Multi channel product delivery - shipped across web UI, API, and/or conversational/agent based interfaces. Technical depth in data infrastructure - data catalogs, metadata management, governance frameworks, data quality tooling. Strong communication - translate technical complexity into clear narratives for engineers, designers, and executives. Prioritisation at scale - balance competing demands across a large stakeholder base by weighing business impact, user value, and technical feasibility. Preferred Experience in financial services or highly regulated industries. Built or scaled a data catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns - tool use, RAG, function calling - and how marketplace APIs can be exposed to LLM based agents. Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. Hands on with Snowflake, Databricks, Airflow, Kafka. Why Join Us Work on firm wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC. Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Vantage Data Centers in Greater London is looking for a Principal Architect for Digital Delivery & Asset Integration. This role governs frameworks for digital information management, ensuring consistency across the EMEA portfolio. The ideal candidate will have over 10 years of experience in architectural design and digital information management, with a strong understanding of ISO 19650 and BIM tools. This position offers extensive benefits and opportunities for development.

Senior IAM Infrastructure Engineer (Contract) Location: Newport, Wales (3-4 days per week on-site) Day Rate: £500 - £550 per day Duration: 12 Months Security Clearance: Active SC Clearance Required (Strictly no dual nationals due to security constraints) The Opportunity Are you a seasoned Infrastructure Engineer with a deep specialization in Identity & Access Management (IAM) and enterprise Microsoft environments? We are looking for a Senior IAM Infrastructure Engineer to play a pivotal role in delivering, optimizing, and supporting mission-critical infrastructure. This role perfectly balances high-level technical delivery, pre-sales solution scoping, and hands-on second-line support. If you thrive in highly secure, fast-paced, and technology-rich environments, this contract offers an incredible opportunity to make a tangible impact. Key Responsibilities As a Senior Engineer, you will span the full lifecycle of project delivery and support: Pre-Sales & Scoping: Partner with stakeholders to scope technical solutions, estimate effort/costs, and shape technically accurate proposals. Infrastructure & IAM Management: Administer, optimize, and enhance enterprise environments, focusing heavily on user account administration, network access integrity, data management, and SAN optimization. Integration & Testing: Evaluate and integrate new hardware and software across server, network, storage, and desktop environments. Escalation Support: Provide expert second-line support, ensuring incidents and service requests are resolved swiftly within tight SLA frameworks. Leadership & Docs: High-quality documentation for operational handovers, while occasionally leading small technical teams to drive project tasks to completion. Technical Skills & Experience To hit the ground running, you will need a robust background in enterprise-scale Microsoft and infrastructure technologies: Core Essentials: Active Directory & IAM: Enterprise/multi-forest Active Directory management, Domain Controller installations/migrations, Group Policy (GPO), and a strong understanding of FIM / MIM (Forefront/Microsoft Identity Management). Messaging: Extensive experience with Exchange 2010/2016, Exchange CUs, and Mail AV/SPAM (Trend IMSVA). Security & Scripting: Solid understanding of SSO / PKI and proficiency with PowerShell for scripting and reporting. Virtualization & Storage: Strong experience with VMware environments and NetApp storage systems. Operating Systems: Deep knowledge of Windows Server (spanning 2012 through to 2025). Core Networking: Robust understanding of DNS. Highly Desirable: Enterprise Vault, File/Print Clusters, and Thin Client environments. Relevant technical certifications (e.g., MCSE or equivalent). A proven track record of working successfully against strict SLA targets. Why This Contract? High-Impact Work: Own and secure mission-critical infrastructure where your expertise directly affects the client's security posture. Diverse Challenges: A brilliant mix of pre-sales architecture, hands-on implementation, and high-level support. Leadership Growth: An excellent opportunity to stretch your leadership muscles by guiding small technical project teams. To Apply: If you hold an active SC Clearance and possess the deep Microsoft and IAM expertise required, please apply with your latest CV and details of your availability.

Arbor Education is seeking a Principal/Staff Engineer (Data) to lead the data architecture and technical strategy within the organization. This position plays a crucial role in leveraging data as a competitive advantage by defining architecture that spans transactional and analytical systems, ensuring scalable OLTP foundations. The ideal candidate will champion an AI-first approach in product development, collaborating closely with various teams to drive strategic business objectives while mentoring engineers.

Location: London (In-office/Hybrid) Team: GTM Operations Full-Time About Us We're Team Granola, building tools that help humans think and work better. What began as an AI notepad for back-to-back meetings has become a shared team workspace and second brain. Granola spreads organically inside companies, often starting with a senior leader and quickly cascading across teams. Today, Granola is used at many of the world's top and fastest-growing companies like Vercel, Cursor, Lovable and Decagon. About the Role You'll design and build the systems and automation that power our go-to-market engine. This is a hands on systems engineering role focused on building scalable, AI-enabled revenue infrastructure. You'll own the technical layer that connects our data, tools, and workflows, and work closely with Sales and CS to make sure what you build actually moves the business. This is not a Salesforce admin or a Clay enrichment role. What You'll Do Architect the GTM systems that scale us Design and build the systems that power how we find, win, and retain customers You'll have real ownership: what we build, how it fits together, and how it scales Engineer the solutions, not just configure them Build internal tools, API integrations, and custom automation logic Work within our existing stack: Attio, Polytomic, Default, Trigger.dev, GitHub Continuously evaluate new tools and bring in what moves the needle Put AI & Automation to work Design and deploy AI agents across the GTM motion (e.g., account research, pre call intelligence, personalised outreach) Wire it directly into our operational systems so it changes how the team works Power decisions with data Design the GTM data model (accounts, contacts and opportunities) Build and manage data pipeline, enrichment and integrations across the stack Be the bridge Partner with Sales, CS and Finance to translate GTM strategy into scalable systems Ship v1 fast, gather real world feedback, and iterate What We're Looking For Background & Experience 5+ years of experience in technical roles. This would ideally be GTM / Revenue, but we're very open to candidates with different experiences (e.g., FDE) and a GTM / Revenue interest Experience designing and scaling systems in a high growth company Proven AI deployment experience (e.g., automations, agents, workflows) (Nice to have) Proficiency in SQL and TypeScript Skills & Traits Able to work with non-technical stakeholders and translate needs into solutions Strong problem solving skills Comfortable picking up our current tech stack and new tools fast Personal Characteristics A builder who gets energized both creating something from scratch Excited to work in-person in the London office Pragmatic and impact focused Values working with people who are kind, ambitious, and collaborative Compensation 100,00 -130,000 GBP + equity and benefits! Our compensation philosophy is to hire the best people in the market and pay them accordingly with salary, variable, and equity.

About Sequence If you join Sequence, you'll help build the platform that lets companies get paid - we're already processing $1bn+ in annual invoice volume and growing fast. We're building the AI-powered revenue platform for modern finance teams, replacing fragile spreadsheets and legacy systems with software their teams love using. Cognition, incident.io, MoonPay, and 100+ other high-growth companies trust us to handle their entire revenue cycle across quoting, billing, and revenue recognition. Founded by repeat entrepreneurs, we hit 10x ARR growth last year and just closed a $20M Series A led by 645 Ventures, alongside a16z and exceptional founders and CFOs from companies like Decagon, Klaviyo and Wise. What's it like to work at Sequence? Small team, big opportunity, real ownership. You'll do work that matters, have direct access to customers, and grow alongside the company. If you want to do the best work of your career at a company that's scaling fast, we'd love to meet you. What you'll be doing We care deeply about the quality of the product we're building. We're looking for engineers who are ambitious and take ownership end-to-end: from identifying what to build, through shipping, to making sure it works for real customers. Here's what you might work on: Our AI infrastructure. We process over a billion dollars a year through Sequence so correctness is table-stakes. You'll build and own the platform that allows us to build reliable software on top of non-deterministic models, including agentic workflows, prompt iteration, tools, and evals. AI-powered approval workflows. Enterprise deals need approval chains, but rigid workflows break when every company has different rules. You'll build flexible routing that customers configure in natural language - "require VP approval for deals over $100k with annual terms" - and turn that into deterministic, auditable business logic. An intelligent collections agent. Chasing late payments is tedious, manual work. We're building an agent you instruct in natural language ("send a reminder at 7 days overdue; escalate at 14 days"), which then runs the entire workflow and collects the relevant context autonomously. We're a lean team growing to 20+ engineers. You'll have real influence on what we build and how we build it. Early enough to shape fundamental architecture. Late enough that customers depend on what you ship. We're looking for product engineers who live in this space. You have informed views on which tool to reach for and when. You've built side projects to see what's possible. You take AI security seriously - you've scrutinized the threat vectors and you treat models as untrusted by default. See what we've shipped in our public changelog. You should apply if You're a builder who wants to solve problems end-to-end: You've shipped LLM-based systems to real customers and have first-hand experience with how they fail in production. You've designed agentic systems and have informed views on the building blocks (like embeddings, memory, tool use, long-running state, recovery from partial failures) and when to reach for each. You've built evals infrastructure (like datasets, LLM as judge, prompt regression tests, monitoring) and have a clear view of what good looks like. You respect the weight of building business-critical systems on top of non-deterministic models and are comfortable writing resilient software. You have informed opinions about the tooling for building, evaluating, and securely running multi-provider AI systems in production. You've shipped production backend systems and care about the difference between "it works" and "it's reliable". You care about customers - you want to understand why you're building something, not just what. You're comfortable with ambiguity. You thrive in early ideation stages, share work-in-progress to gather feedback, and adapt easily based on input. You communicate clearly. Thoughtful communication is a superpower that sharpens how we collaborate and build. This might not be right if We're a small team moving fast on hard problems. That might not be a fit if you: Prefer a slower pace. Customers are depending on what we ship. Enjoy larger organisation structures and staying only within your area of expertise. Taking ownership here means doing whatever the problem needs. Want a traditional engineering team set up, with a predictable roadmap and clearly scoped out tickets provided for you. Aren't comfortable with production responsibility. We're revenue-critical infrastructure - on-call matters here. Tech stack We hire for ability, not a specific tech stack. Most of the team learned Kotlin here: Backend: Kotlin (modular monolith using Http4k, Spring Boot, Exposed, Result4k). Storage: Postgres, BigQuery. AI Platform: Vertex AI, Langsmith, more to come here. Async messaging: Google Cloud Pub/Sub. Infrastructure: Google Cloud, Terraform. Frontend: TypeScript, React. Monitoring: Google Cloud Monitoring, Sentry. Tools: GitHub, Slack, Notion, Linear. How we work We're based in London and New York and love spending as much time with our colleagues as possible. We spend three days together in the office, with team lunch on Wednesdays. You'll join a cross-functional product team working directly with design and product. We get together twice a year for company offsites. What we offer Salary: £115,000 - £130,000 Equity: Meaningful share options 25 days holiday + bank holidays. Modern, flexible pension via Penfold with salary sacrifice available. Visa sponsorship available. Interview process We move fast - typically 2 weeks start to finish. We've written a detailed blog post about the process with tips for how to prepare. Public resources on Sequence Podcasts: Wharton FinTech: Reinventing Billing & Quote-to-cash (Dec 2025): origin story, why Riya built Sequence after her first exit. Tech Finance with Sasha Orloff: E14: Revenue Models 101 & the New Stack: pricing/revenue models, quote-to-cash thesis. Riding Unicorns: S6E5: written recap: M&A, founding story, enterprise product views. Bae HQ: Episode 207: a16z round, category vision. The SaaS CFO with Ben Murray: AI-native B2B billing pitch. Converge Podcast (May 2024): "financial router" framing. Transcript of the Wharton FinTech episode if you want to skim rather than listen. Written: USXP: From Oxford to a16z: building a US-first mindset at Sequence: go-to-market and US expansion. The FP&A Guy: How modern finance teams are automating billing with AI: guest piece on AI in finance ops. Sequence blog: Introducing Sequence 2.0: her launch post for the AI-native rebuild.

Senior Storage & Backup Infrastructure Engineer Newport (Hybrid - 3 days onsite) £550 per day (Inside IR35) 6-Month Contract SC Clearance Required An exciting opportunity has arisen for an experienced Senior Storage & Backup Infrastructure Engineer to join a high-profile enterprise infrastructure programme supporting critical services and large-scale IT environments. This role is ideal for an infrastructure specialist with deep expertise in NetApp storage technologies, enterprise backup solutions, and complex data centre environments. You will play a key role in the design, implementation, optimisation and support of business-critical storage and backup platforms while working closely with technical teams, architects and stakeholders. Key Responsibilities Lead the design, implementation and enhancement of enterprise storage and backup infrastructure. Act as the subject matter expert for NetApp technologies across project and operational activities. Deliver infrastructure upgrades, migrations and technical refresh programmes. Evaluate and integrate new hardware and software solutions into existing environments. Provide technical leadership and guidance to engineers and project teams. Produce high-quality technical documentation, implementation plans and operational procedures. Support capacity planning, performance optimisation and storage lifecycle management. Troubleshoot and resolve complex infrastructure issues across storage, backup and SAN environments. Provide 2nd/3rd line support and ensure adherence to service levels and operational processes. Support pre-sales, solution design and effort estimation activities where required. Essential Skills & Experience Strong hands on experience with NetApp storage platforms (essential). Extensive background in enterprise storage, backup and infrastructure management. Experience working within large scale, mission critical environments. Strong knowledge of SAN technologies, storage optimisation and data management. Proven experience delivering infrastructure projects from design through to implementation. Ability to lead technical workstreams and mentor junior engineers. Strong troubleshooting, diagnostic and problem solving skills. Excellent documentation and stakeholder communication skills. Desirable Experience with virtualisation technologies. Exposure to enterprise backup platforms and disaster recovery solutions. Experience working to strict SLA driven environments. Microsoft or infrastructure related technical certifications. Experience within highly regulated or secure environments.

Cacheflow is looking for a Solutions Architect based in Greater London to lead technical client engagements and drive product adoption. The role requires over 10 years of experience in transactional databases and a proven track record in pre-sales or consulting roles. The ideal candidate should be proficient with SQL and Python and possess strong cloud platform experience. Benefits include a comprehensive perks package aimed at supporting diverse employees.

UTA seeks a Principal AI Engineer to lead the design, development, and delivery of intelligent software systems that bring together enterprise application architecture, full-stack engineering, data science, and machine learning. In this highly visible, hands on leadership role, you will build and scale production grade platforms and AI enabled products that power critical workflows, decision making, automation, and business insight across the organization. The ideal candidate combines deep software engineering expertise with strong applied AI and data science capability, and has a proven ability to mentor engineers, shape technical direction, and partner cross functionally to turn complex business problems into scalable, secure, and reliable solutions. What You Will Do AI Engineering, Data Science & Intelligent Product Development Lead the design, development, and deployment of machine learning, statistical, and AI driven solutions that support automation, prediction, decision making, and personalization. Own end to end delivery of AI enabled products and services, from problem framing and data exploration through model development, application integration, deployment, and monitoring. Evaluate and implement appropriate approaches across machine learning, analytics, and natural language processing based on business needs and technical constraints. Partner with data and platform teams to build robust pipelines, reusable services, and scalable environments that support production AI workloads. Platform Engineering & Enterprise Architecture Design and develop scalable, secure, cloud native applications and backend services that integrate AI, data, and business workflows into enterprise platforms. Lead end to end full stack engineering across backend services and modern web applications, including APIs, data models, service integrations, and internal tools. Architect systems using modern cloud patterns such as microservices, event driven design, and managed services, ensuring reliability, observability, and scalability. Provide architectural leadership across integrations with enterprise systems and third party platforms. ML Ops, Reliability & Engineering Best Practices Productionize AI and machine learning solutions using modern ML Ops and software engineering practices. Establish standards for testing, deployment, observability, drift detection, retraining, and documentation. Drive quality, automation, and performance in systems where accuracy, resilience, and reliability are critical. Leadership, Mentorship & Execution Serve as a hands on technical leader and player coach, mentoring engineers while actively contributing to design and implementation. Help define technical strategy and roadmap priorities for AI, data, and application development. Lead execution of complex, cross functional initiatives and act as a senior escalation point for technical decisions and trade offs. Foster a culture of engineering excellence, accountability, and continuous improvement. Collaboration & Business Partnership Partner with Product, Engineering, Data, and business stakeholders to identify high value opportunities where AI and software can materially improve outcomes. Translate ambiguous business needs into clear technical solutions, communicating trade offs and risks effectively. Present complex technical work in a clear, actionable way to both technical and non technical audiences, including leadership. What You Will Need Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience; advanced degree is a plus. 10+ years of experience in software engineering, applied machine learning, data science, or related fields, including building and delivering production systems end to end. Strong hands on expertise in modern software engineering, including backend development, APIs, and scalable system design. Experience with full stack development, including modern frontend frameworks and service based architectures. Proficiency in Python and SQL, with experience in data manipulation, model development, and analytical workflows. Hands on experience with machine learning frameworks such as scikit learn, TensorFlow, PyTorch, or similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices, and event driven architectures. Strong grounding in statistics, experimentation, and analytical methods. Experience deploying and maintaining production AI/ML systems, including monitoring and governance. Solid understanding of secure system design, data privacy, and enterprise engineering practices. Excellent communication skills with the ability to influence stakeholders at all levels. Proven experience mentoring engineers and leading through influence in a hands on environment. Experience in media, entertainment, or similarly fast paced industries is a plus. What You Will Get The unique and exciting opportunity to work at one of a leading global entertainment companies. Access to the tools, leadership, and resources you will need to create and drive a center of excellence. The opportunity to do the best work of your career. Work in an inclusive and diverse company culture. Competitive programs to support your well being. Experience working in a collaborative environment with room to grow. UTA and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers.

Role Summary At T. Rowe Price, the mission of the Enterprise Architecture (EA) function is to empower the firm to achieve its strategic objectives through optimal use of technology. As Enterprise AI Architect, you will be at the forefront of firm wide AI activation, working directly with the Chief Architect to define, govern, and accelerate AI adoption across a complex, global institution, translating ambitious strategy into concrete architectural blueprints that are coherent, scalable, secure, and aligned with fiduciary obligations. Responsibilities AI Architecture & Strategy: Define and maintain the Enterprise AI Architecture spanning model infrastructure, data pipelines, orchestration layers, integration patterns, and governance controls. Develop reference architecture for agentic AI systems and multi agent workflows, establishing standards for MCP and model context protocols. Create AI reference architectures for investment and front to back office use cases. Drive integration of AI capabilities with core data platforms and content platforms, leveraging RAG and MCP to unlock proprietary data assets. Governance & Risk: Design and operationalize AI governance, covering model risk management, explainability, bias monitoring, data lineage, and regulatory compliance. Evolve model evaluation and selection criteria for frontier and open weight models, balancing capability, performance, cost, and latency. Partner with Legal, Compliance, and Risk to embed AI risk controls into architecture review processes. Define data privacy and security patterns for AI workloads. Enterprise Alignment & Stakeholder Leadership: Translate business strategies from investment, distribution, finance, and operations into AI architecture requirements and roadmaps. Guide the Architecture Review Board (ARB) for AI proposals. Produce executive grade artifacts-technology radars, strategic assessments, vendor evaluations, ADRs-to serve as an AI thought leader and trusted advisor. Technology Scanning & Innovation: Operate continuous scanning of frontier AI developments and distill insights for senior leadership. Evaluate and pilot emerging AI capabilities with clear proof of concept criteria. Maintain relationships with AI vendors, cloud hyperscalers, research institutions, and peer firms for benchmarking. Team, Collaboration & Community: Mentor architects and engineers on AI design patterns and responsible AI practices. Contribute to Enterprise Architecture practice development, including standards and templates, and represent the firm in external AI forums and industry groups. Qualifications Bachelor's degree in computer science, engineering, mathematics, statistics, or related fields. 10+ years in technology architecture, 3-5 years focused on AI/ML architecture in large, complex enterprise environments. Hands on command of modern AI stack: LLM APIs and fine tuning, vector databases, RAG, embedding pipelines, prompt engineering, and agent orchestration frameworks (LangChain, AutoGen, or equivalents). Practical exposure to agentic AI architecture, multi agent coordination, and MCP or similar frameworks. Experience with enterprise data platforms (Snowflake, Databricks, or comparable) and integrating AI on top of them. Strong understanding of cloud native architecture on AWS, including AI/ML services such as Bedrock. Ability to produce high quality architecture artifacts-reference architectures, technology radars, ADRs, capability assessments. Familiarity with enterprise architecture frameworks such as TOGAF and operation within Architecture Review Boards. Excellent communication skills, synthesizing complex technical topics for non technical stakeholders. Preferred Master's or PhD in Computer Science, AI, ML, Data Science, or related field. Experience in financial services (asset management, investment banking, fintech) with knowledge of investment workflows, data governance, and regulatory obligations. Knowledge of AI governance frameworks, model risk management guidelines, and emerging AI regulations. Familiarity with emerging AI adjacent technologies: quantum computing for AI, blockchain/DLT, etc. Work Flexibility This role is eligible for hybrid work, with up to three days per week from home.

Zensar Technologies is searching for a Senior Principal Data Architect to lead enterprise-scale data architecture, governance, and delivery oversight within cloud and AI-enabled ecosystems. This role demands a high level of expertise with a focus on modern data platforms, strong delivery governance, and stakeholder engagement. Candidates should have over 15 years of experience in data architecture and delivery governance, particularly in BFSI and Insurance domains, ensuring a fit for challenges in data transformation.