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Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem solving skills and ability to work independently and collaboratively. Effective communication skills for technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Experience in financial services, especially investment banking operations. Experience fine tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands on experience with AWS services related to AI deployment and workflow orchestration. Why Join Us We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. Equal Opportunity Employment 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.

Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.

the company is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join the company and power our mission to equip the workforce to win in the AI era. Opportunity It's an incredible time to join the Engineering team at the company, the UK's first edtech unicorn, as we equip the workforce to win in an AI era. You have a real opportunity to impact the lives of thousands of people - not by picking up tickets, but by building the engine that gets more people into transformative learning, faster. Mission the company is reshaping the future of workforce development. Growth at the company is a product problem, not a marketing problem - and increasingly the answers to those problems run through AI. You will join a domain team, gain deep knowledge of our products, and play a central role in delivering scalable, user-focused learner experiences across the platform. Product Our platform now serves tens of thousands of learners, and demand for AI skills is accelerating. You won't be handed a spec - you'll be in discovery, shaping what we build and why. Every feature you ship connects directly to a learner outcome, and you'll be expected to own that connection from design through to deployment. Team You will be joining a high-growth, high-impact cross-functional tribe spanning product, engineering, design, and AI innovation. We foster a culture of engineering craft, structured experimentation, and rapid innovation. We value engineers who are comfortable swimming in the deep end, who care deeply about the intersection of AI and user experience, and who are excited to solve complex scaling challenges. This is a high-trust, hands on building environment, supported by "10% time" for experimentation and weekly knowledge-sharing. We embrace a "re teaming" culture - giving you the high agency opportunity to dynamically form teams around business priorities, tackle new disciplines, and accelerate your career. Challenge You will tackle bold problems to drive our scaling efforts: Activate Learners: Build AI driven onboarding flows that adapt in real time to what a learner already knows, how they prefer to engage, and where they need support. Drive Engagement: Partner with AI Engineers to develop personalised learning experiences that adapt to individual pace, context, and need. Scale Systems: Operationalise AI generated content at scale across our end to end messaging systems - defining the guardrails that ensure output feels relevant and human. Ship Code: Deliver high quality architecture and write production code across our core stack: AWS, React, and TypeScript. AI Fluency This role sits at the intersection of AI and product. We don't treat AI as an add on or an experiment - it is our engine. We expect you to be a practitioner: You use AI assisted development tools (e.g. Claude Code, Cursor, Gemini) as a natural part of your daily workflow - to accelerate velocity, raise code quality, and explore solution space faster. You evaluate AI output critically. You know when to trust it, when to push back, and how to iterate toward something production worthy. You've worked with LLM APIs or agentic frameworks in a real product context and understand their failure modes - hallucination, latency, cost, and user trust. You bring a product builder's instinct to AI features: you're asking "does this actually help the user?" not just "does this technically work?" Your Impact As a Senior Software Engineer, your mastery drives direct business outcomes. We expect you to: Execute as an Owner: Independently lead initiatives from design to deployment. Avoid over or under building - arrive at implementations that solve the problem, deliver customer value, and scale. Elevate Technical Excellence: Zero tolerance for user issues. Launch bug free systems with proactive monitoring and instrumentation built in from day one. Scale Simplicity: Identify and manage technical debt, leaving the codebase cleaner than you found it. Understand a problem with multiple solutions, consider trade offs, and settle on the most suitable design before building. Multiply Your Team: Help less experienced engineers grow through mentoring, pairing, and code reviews. Proactively unblock peers. Embrace High Agency: Thrive in our re teaming environment - collaborate across functions, adapt to shifting priorities, and bring an owner's mindset to ambiguous challenges. Communicate Clearly: Inspire confidence when presenting complex technical concepts to both technical and non technical stakeholders. Take Initiative: Pull up a chair in discovery. Work alongside product and design to shape the problem before the solution is fixed. Name bottlenecks early and act on them. Stay Metric Obsessed: Track and understand product and engineering metrics alike - and always connect them to the business result they ladder up to. Grow Continuously: Treat setbacks as a signal, not a failure. Make calls without perfect data, change direction when new information arrives, and see the current state as a starting point. Operating Principles in Action We evaluate and drive performance through our BAM framework (Behaviours, Achievement, Mastery): Solve for Customer Value: Every decision starts with: "How does this create value for our paying customers?" Prioritise work that directly benefits the learner over internal convenience or habit. Drivers, Not Passengers: Own outcomes. Don't wait for permission to fix a problem - lead the solution, take others with you. Be Decisive, Even in Ambiguity: Launch imperfect solutions, test, learn, and course correct quickly. Don't let fear of the wrong call stall progress. AI to Deliver Outcomes: AI is your co author, not a shortcut. Use it to go faster and build better - but direct it deliberately, challenge its output, and hold the quality bar. Interview Process Initial Screen: A brief conversation about your background, achievements, and impact. AI Assisted Technical: A coding and system design exercise where you use AI tools to build. We assess how you direct, evaluate, and iterate on AI output - not just whether you can use it. We then deep dive into your technical mastery and architectural thinking. Architecture & Behaviours: How you live our Operating Principles - ownership, decisiveness, and how you bring others along. Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year Health & Wellness - private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work from anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect - Beyond the desk, we make time for weekly catch ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding the company is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other the company company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected . click apply for full job details

Enterprise Solutions Architect - Fixed-Term Contract (12 Months) Department: Internal Technology Employment Type: Fixed Term - Full Time Location: Oxford, UK Description Based in Oxford, you will be the Enterprise Solutions Architect working in an architectural capacity on projects and ongoing maintenance of our enterprise systems landscape (including Microsoft Dynamics F&O, Salesforce, SharePoint, Microsoft 365, SAP Success Factors). You will be part of the architecture function and liaise with internal teams and third parties to ensure systems integrate effectively, and input to processes and practices to ensure they are scalable, secure and robust. We are undertaking several strategic business programmes currently to refine/change our tier 1 systems, in your role you will be aligned to at least 1 of these strategic programmes with overall architectural responsibility, escalating where required, to the Head of Architecture and Engineering, or the Head of Internal Technology. The successful applicant will have a passion for solving business problems with technology and combine exceptional technical capabilities with great communication skills and understanding of how the business operates. The successful candidate will work in a creative, intellectually stimulating environment. You will enjoy autonomy, and the opportunity to have a significant impact on Aurora's digital strategy, ensuring that our enterprise systems are highly effective and meet the needs of this very fast growing, data heavy business. Key Responsibilities Lead as the Enterprise Solutions Architect for at least 1 of the strategic business programmes focused on our tier 1 systems (Microsoft Dynamics F&O, Salesforce, SharePoint, Microsoft 365, SAP Success Factors) Champion enterprise architecture principles and governance whilst being hands on in delivery where required Be a confident technical liaison for 3rd party partners and internal stakeholders Ensure solutions are embedded through the engineering functions into operational readiness Make key decisions on how systems integrate, where and how data is mastered and how data flows between the systems, ensuring both the velocity and stability required Assure configuration, workflows and automation aligns with technology best practice and architectural standards within Aurora Ensure effective governance and integrity of system boundaries; be aware of and mitigate the risk of boundary creep Contribute to policies and practices to ensure our enterprise systems remain scalable, secure, and robust and that third party software across the business is appropriately managed Be a key resource for our Systems Managers (business partners with Aurora departments), providing architectural input to stakeholder requirements, guiding senior stakeholders as required, identifying and delivering scalable solutions Skills, Knowledge and Expertise Required attributes: Proven experience operating as an Enterprise Architect across multiple domains and delivery streams, with demonstrable impact through roadmaps, standards and governance Deep experience working with and governing 3rd Party integration partners, holding them to account and ensuring delivery and architectural alignment Strong understanding of EA disciplines (business/data/application/technology) and ability to connect them to portfolio and operating model decisions Track record defining and executing target-state architectures and transition roadmaps (incremental, time to value-led, dependency aware) Hands on experience implementing architecture governance: principles, standards, architecture reviews, exception management and decision records Microsoft ecosystem architecture depth relevant to the organisation's stack, including: Dynamics 365 F&O integration approaches and guidance Salesforce integration approaches and guidance SAP SuccessFactors integration and guidance Power Platform/Dataverse governance and ALM best practice; environment strategy and DLP controls Data Foundation expertise leveraging Microsoft data technologies with particular focus on Microsoft Fabric (or equivalent modern Lakehouse patterns), including governance/lineage and enabling self service analytics safely Enterprise SaaS integration across domains with Salesforce CRM, Dynamics 365 F&O & SAP Success Factors Strong integration design capability: Domain Driven Design, event based integration, API design principles, resilience patterns, operational considerations (SLAs, observability, incident readiness) Excellent stakeholder management and communication: can influence at exec level, simplify complex trade offs, and align diverse teams behind common patterns and outcomes Desirable attributes: TOGAF certification or equivalent applied EA practice Experience establishing EA repositories/tooling, platform guardrails, and measurable architecture outcomes (reuse, risk reduction, simplification) What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle to work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.

United States Digital Space LLC is seeking a software engineer in Greater London to join their High Integrity Software team. You will contribute to projects within sectors such as Aerospace, Defence, Rail, and Automotive, focusing on safety-related applications. This role demands strong knowledge of the safety critical software development life cycle, with responsibilities including shaping technical strategy and leading software requirements and testing initiatives. Applicants with a degree in Software Engineering or similar are encouraged to apply.

Swansea, United Kingdom Posted on 28/05/2026 About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy whose work has positively influenced the lives of over 40 million UK citizens. We deliver impactful technology solutions across UK government departments, working at the forefront of user centred design, agile delivery, and scalable digital services that genuinely make a difference. Location: Swansea (with a regular expectation of 60% on site attendance). Strong focus on work life balance with a flexible hybrid model (3 days onsite). Be part of a collaborative, multidisciplinary agile environment alongside civil servants and industry experts. Based in Swansea, South Wales - three days per week on site. About the Role We are seeking a technically deep, automation first Software Development Engineer in Test (SDET) to embed within a blended digital delivery squad of civil servants and supplier staff. In this role, you will design, build, maintain, and continuously improve the automated test frameworks and quality engineering practices that underpin high volume, citizen facing digital services handling billions of interactions annually. You will own the full testing lifecycle from strategic planning through to continuous integration and continuous deployment (CI/CD) pipeline integration. Working alongside software engineers, architects, and product owners, you will ensure that quality is built in from the start, rather than bolted on at the end. You will be expected to code in the languages used across our modern tech stack and maintain a strong grasp of API, performance, security, and accessibility testing. Key Responsibilities Framework Development: Design, build, and maintain automated test frameworks covering functional, regression, API, integration, performance, and security testing. Pipeline Integration: Embed automated tests within CI/CD pipelines (e.g., Jenkins or GitHub Actions) to ensure continuous quality feedback and facilitate fast build cycles. Strategy & Planning: Define and own the test strategy for assigned digital products, ensuring appropriate test coverage across unit, integration, system, performance, and accessibility layers. Specialised Testing: Lead API testing for REST/GraphQL services using tools like RestAssured, Postman, or Karate, and execute performance/load testing using Gatling, k6, or JMeter to validate services at a massive national scale. Accessibility & Security: Conduct rigorous accessibility testing aligned to WCAG 2.2 standards using automated tools (such as axe core or Pa11y) and manual screen reader testing, while embedding security testing practices (e.g., OWASP Top 10, DAST with OWASP ZAP or Burp Suite) within the delivery pipeline in support of secure by design principles. Shift Left Quality: Collaborate closely with software engineers, architects, and business analysts to define clear acceptance criteria, review code for testability, and champion shift left quality practices. Environment & Defect Management: Maintain test environments and test data strategies, manage the defect lifecycle, and produce clear quality dashboards and reports for the team and portfolio management. Government Service Standards: Support formal government service assessments by providing concrete evidence of test coverage, quality metrics, and accessibility compliance. Requirements Public Sector Delivery: Proven experience acting as an SDET or Senior Test Automation Engineer on large scale, cloud hosted digital or government services. Automation Frameworks: Deep, hands on expertise with modern test automation frameworks such as Selenium, Playwright, Cypress, Cucumber/BDD, RestAssured, or Karate. CI/CD & Cloud: Extensive experience integrating automated tests into CI/CD pipelines (e.g., Jenkins, GitHub Actions) and interpreting pipeline quality gates, alongside experience with AWS hosted environments and cloud based test execution. Performance & API Testing: Demonstrable experience in API testing (REST/GraphQL) and executing performance testing at a high volume scale. Accessibility & Security Compliance: Strong knowledge of WCAG 2.2 accessibility testing standards and relevant tooling (such as NVDA or JAWS), as well as familiarity with secure testing practices, vulnerability scanning, and DAST tools. Tech Stack Familiarity: Experience testing Java SpringBoot, Ruby on Rails, and AWS Lambda serverless patterns. Certifications: Recognised professional qualifications such as the ISTQB Advanced Level Test Automation Engineer certification. Advanced Testing Principles: Experience with contract testing (e.g., Pact) for microservices and API ecosystems, as well as familiarity with chaos engineering and site reliability testing principles. Tooling Proficiency: Advanced skills in test management tooling such as Jira, Xray, or Zephyr. Government Assessments: Prior experience working in GDS assessed services and actively contributing to service assessment evidence packs within comparable high volume government digital environments. What we offer Competitive salary with annual review Company pension scheme Generous annual leave entitlement Critical illness cover Relocation support of £3,000 - £5,000 Visa sponsorship for eligible candidates Access to learning and development resources A supportive, inclusive working environment Scrumconnect creates next generation digital services through an award winning blend of design, engineering, and artificial intelligence expertise. We specialise in modern software development, data solutions, testing, and strategic design to enable faster delivery, better user experiences, and lower operational costs across the public sector. Our delivery approach is driven by our core values: collaboration, creating value early, integrity, and commitment. We believe we are stronger together, tackling complex problems as one unified team to build intelligent, secure, and scalable platforms. With a proven track record of transforming critical digital services for major government departments including the DVLA, DWP, and HM Courts and Tribunals Service, we focus on turning information into insight, automating complexity, and delivering measurable impact for citizens. How to Apply Please submit your CV to or apply directly through this listing. For an informal conversation about the role, contact Name at contact details . Scrumconnect Consulting is an equal opportunities employer. We are committed to building a diverse and inclusive team and welcome applications from all backgrounds, regardless of age, disability, gender, ethnicity, religion, or sexual orientation.

At the company, 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're currently expanding our engineering teams in London and looking for experienced Tech Leads. This is an individual contributor role with technical leadership scope, it's not a people management position. You'll drive the development of infrastructure features that shape our product's future from UI to database. Check out our Engineering Blog - company/ Please note this is a hybrid role based in our incredible London office in Fitzrovia, with 3 days per week on-site. About the Team Our Enterprise Engineering group sits at the heart of the company's growth, building the foundational systems that our largest customers depend on. The team is split across two closely connected areas: the Data Lifecycle team, which focuses on data compliance and governance at enterprise scale, and the Account Controls team, which gives internal and external partners the tools to manage and control customer data - and is currently our number one priority for enterprise growth. The work is genuinely complex: you'll be navigating large-scale, cross-product technical challenges, shaping data architecture that touches millions of users, and exploring how AI can be meaningfully applied to data management. Every decision you make has real impact on how enterprise clients experience the company. We're a hands on, collaborative team based in London, working across the full stack (primarily Node.js and React), and we thrive on people who can zoom in on the details when it matters and zoom out to see the bigger picture. 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 the company product. With over 400 engineers, we operate in cross functional teams, collaboratively defining, improving, building, and delivering features. What you will do: Play a key 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 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, Elasticsearch, Redis, MySQL. Note: 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 the company 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.

About the Role As a Senior Forward Deployed Engineer (Sr. FDE) at Uniphore, you will take technical ownership of strategic AI solution deployments and lead the architecture, prototyping, and delivery of customer specific applications on our Agentic AI platform. Responsibilities Lead the technical solution design and implementation of large scale Agentic and Knowledge AI solutions for key enterprise clients. Act as the primary technical point of contact during solution development and post deployment optimization. Own and execute projects end to end: from integration design to agent workflows and full stack delivery. Customize platform components as needed-integrating new APIs, building reusable tooling, or extending platform logic. Collaborate closely with cross functional teams internally and with customers to ensure solution success. Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points. Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation. Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents. Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security/guardrails and broader landscape of Enterprise & Agentic AI. Qualifications Undergraduate, master's degree or PhD in Computer Science or Data Science. 4+ years of experience in engineering, with 2+ years in customer facing or field roles. Proven success building and deploying AI/ML or data intensive applications in production. Deep full stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD). Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc). Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI). Knowledge of SLM Finetuning and Distillation is a big advantage. Experience and knowledge of Agentic development platforms and experience building and delivering enterprise agentic solutions is a huge advantage. Ability to translate ambiguous customer needs into actionable engineering plans. Strong leadership, mentoring, and project ownership abilities. Excellent communication and collaboration across technical and business stakeholders. Location UK - London Equal Opportunity Employer Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

Mission Statement & Summary We're hiring a Senior AI Engineer to design and deliver AI systems across the business. This is a hands on role focused on building production grade solutions using LLMs and agentic systems, embedding AI directly into core business processes rather than building isolated prototypes. You'll take high value problems and turn them into scalable, reliable systems used in real workflows, driving measurable business outcomes. You'll contribute significantly to technical direction, architecture, and implementation, translating defined business priorities into robust, production ready systems. You'll make key technical contributions and work hands on alongside engineers to deliver solutions that are reusable, scalable, and built for long term impact. How You'll Contribute Design and implement AI systems end to end, contributing to technical direction and architecture Build LLM powered and agent based solutions from concept through to production Contribute to engineering standards, patterns, and reusable components across use cases Make informed technical decisions on models, tooling, infrastructure, and system design within agreed architectural direction Ensure systems are robust, observable, and production ready (evaluation, monitoring, guardrails) Provide technical guidance and mentorship to engineers contributing to AI initiatives We're Looking For These Essential Skills Proven experience delivering production grade AI systems end to end Experience designing and implementing complex AI systems across multiple use cases or domains Strong expertise in generative AI / LLMs, including orchestration, prompting, and evaluation Experience building agentic or multi step AI systems Strong software engineering fundamentals including APIs, system design, and cloud based architectures Ability to operate effectively in ambiguous or fast moving problem spaces Experience contributing to and influencing engineering standards and practices across projects It's a plus if you also have these skills Experience contributing to AI platforms or reusable frameworks and patterns Familiarity with LLMOps / MLOps and production evaluation practices Experience embedding AI into core business processes or enterprise systems Experience working in large scale or regulated enterprise environments What's in it for you? 26 days holiday, rising to 30 with service A holiday buy scheme (up to 5 extra days) Double matched pension, with up to 14% from NewDay Generous annual performance bonuses Private medical insurance with Bupa, including mental health support and cancer care 26 weeks paid maternity, adoption and shared parental leave Free breakfast and lunch in the office every day, provided by our in house chefs and more, which you can explore here! At NewDay, we value all types of diversity. We're an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don't discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process. Tell us if you need accommodations: We'll put reasonable adjustments in place to support you. We work with Textio to make our job design and hiring inclusive.

Swansea, United Kingdom Posted on 28/05/2026 About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy whose work has positively influenced the lives of over 40 million UK citizens. We deliver impactful technology solutions across UK government departments, working at the forefront of user-centred design, agile delivery, and scalable digital services that genuinely make a difference. Why This Opportunity Stands Out Work on a high impact UK public sector digital programme, delivering services used by millions Opportunity to be based in Swansea, with relocation support of up to £5,000 Visa sponsorship available for eligible candidates Strong focus on work life balance with a flexible hybrid model (3 days onsite) Be part of a collaborative, multidisciplinary agile environment alongside civil servants and industry experts Based in Swansea, South Wales - three days per week on site This role requires three days per week at our client's Swansea offices and we want to be straightforward about that. Swansea is a coastal city offering a genuinely excellent quality of life: lower cost of living than London or Birmingham, shorter commutes, and the kind of work life balance that is hard to find elsewhere. If you have spent years commuting into a major city, working three days a week by the sea without taking a pay cut may be more appealing than you expect. The work is meaningful too, public sector digital delivery that directly impacts people's lives across the UK. We also offer relocation support of £3,000 - £5,000 to help make the move straightforward. About the Role We are seeking an authoritative and hands on Solution / Technical Architect to provide architectural leadership across blended, multidisciplinary digital delivery squads within a large scale UK government agency. Operating at the heart of a mature digital environment in Swansea, you will ensure that all solutions align with strategic architecture, cloud first principles, the Government Digital and Data (GDD) Technology Code of Practice, and rigorous secure by design standards. You will actively shape the technical direction of digital products that process tens of millions of customer transactions and billions of digital interactions annually. This is a high impact role spanning citizen facing services, internal staff systems, cloud infrastructure, API platforms, and critical legacy transformation initiatives. You must be comfortable translating high level architectural direction into deliverable agile sprint work while fostering a culture of continuous learning and skills transfer. Key Responsibilities Architectural Leadership: Define, own, and communicate solution architectures for new and evolving digital services, producing clear Architecture Decision Records (ADRs), high level and low level designs, and reusable architecture patterns. Strategic Alignment: Ensure all designs conform to an agreed strategic architecture (API first, cloud first on AWS), software engineering standards, and cross government digital frameworks. Technical Governance: Lead technical governance activities, including preparing submissions for Architecture Review Boards (ARB) and participating in design authorities and technical assurance reviews. Hands on Collaboration: Provide active technical leadership within blended agile squads, reviewing code, advising on implementation approaches, and resolving complex technical blockers. Cloud & Platform Engineering: Drive cloud engineering decisions on AWS, encompassing serverless environments (Lambda/Node.js), containerisation, infrastructure as code (Terraform/CDK), and modern platform engineering practices. Cross Government Integration: Assess and guide integration approaches for strategic cross government platforms (such as digital identity, digital wallets, payment gateways, and notification systems) alongside third party APIs. Legacy Modernisation: Lead architectural activities for legacy transformation, safely migrating services away from mainframe, COBOL, and older database environments to scalable, modern platforms. Security & Compliance: Champion secure by design principles, participating in threat modelling (e.g., STRIDE) and collaborating closely with cyber security and information assurance teams on Data Protection Impact Assessments (DPIAs). Public Sector Delivery: Extensive hands on experience acting as a Solution or Technical Architect on large scale, complex digital transformation programmes within the public sector or highly regulated environments. Cloud Native Expertise: Deep expertise in cloud native architecture on AWS (including API Gateway, Lambda, ECS/EKS, RDS, S3, CloudFront, and IAM). Modern Architecture Patterns: Strong practical knowledge of API first design principles, REST/GraphQL, event driven architectures, microservices, and domain driven design. Automation & Tooling: Proficiency with infrastructure as code tooling (such as Terraform, AWS CDK, or CloudFormation) and CI/CD pipeline design (e.g., Jenkins, GitHub Actions). Security Knowledge: Comprehensive understanding of secure by design principles, cloud security guidance (e.g., NCSC), and government security classifications (OFFICIAL, OFFICIAL SENSITIVE). Communication & Artefacts: A proven track record of producing high quality architectural artefacts (C4 models, ADRs) and confidently translating complex technical decisions for non technical senior stakeholders. Agile Assurance: Experience working through all phases of agile delivery and actively contributing to formal government digital service assessments (such as GDS assessments). Legacy Migration: Prior experience with legacy mainframe modernisation and large scale migration patterns. Large Data Estates: Familiarity with operating and architecting within extremely large data estates (handling upwards of 50 million records). Emerging Technologies: Awareness of emerging technologies and how they apply to public sector delivery, such as AI/ML on AWS, digital identity (eIDAS), or biometrics. Professional Certifications: Recognised architecture certifications, such as TOGAF or AWS Certified Solutions Architect Professional. Tech Stack Familiarity: Practical experience supporting and designing for Java SpringBoot backend microservices and Ruby on Rails front end architectures. Benefits and Other Information Visa sponsorship for eligible candidates Access to learning and development resources A supportive, inclusive working environment We keep things straightforward. Following an initial CV review, successful candidates will be invited to a short screening call with our recruitment team, followed by a two stage process comprising a technical assessment and a values based interview with the hiring team. We aim to move quickly and will keep you informed at every stage. Scrumconnect Consulting is an equal opportunities employer. We are committed to building a diverse and inclusive team and welcome applications from all backgrounds, regardless of age, disability, gender, ethnicity, religion, or sexual orientation.

Enterprise Solutions Architect Department: Internal Technology Employment Type: Permanent - Full Time Location: Oxford, UK Description Based in Oxford, you will be the Enterprise Solutions Architect working in an architectural capacity on projects and ongoing maintenance of our enterprise systems landscape (including Microsoft Dynamics F&O, Salesforce, SharePoint, Microsoft 365, SAP Success Factors). You will be part of the architecture function and liaise with internal teams and third parties to ensure systems integrate effectively, and input to processes and practices to ensure they are scalable, secure and robust. We are undertaking several strategic business programmes currently to refine/change our tier 1 systems, in your role you will be aligned to at least 1 of these strategic programmes with overall architectural responsibility, escalating where required, to the Head of Architecture and Engineering, or the Head of Internal Technology. The successful applicant will have a passion for solving business problems with technology and combine exceptional technical capabilities with great communication skills and understanding of how the business operates. The successful candidate will work in a creative, intellectually stimulating environment. You will enjoy autonomy, and the opportunity to have a significant impact on Aurora's digital strategy, ensuring that our enterprise systems are highly effective and meet the needs of this very fast growing, data heavy business. Key Responsibilities Lead as the Enterprise Solutions Architect for at least 1 of the strategic business programmes focused on our tier 1 systems (Microsoft Dynamics F&O, Salesforce, SharePoint, Microsoft 365, SAP Success Factors) Champion enterprise architecture principles and governance whilst being hands on in delivery where required Be a confident technical liaison for 3rd party partners and internal stakeholders Ensure solutions are embedded through the engineering functions into operational readiness Make key decisions on how systems integrate, where and how data is mastered and how data flows between the systems, ensuring both the velocity and stability required Assure configuration, workflows and automation aligns with technology best practice and architectural standards within Aurora Ensure effective governance and integrity of system boundaries; be aware of and mitigate the risk of boundary creep Contribute to policies and practices to ensure our enterprise systems remain scalable, secure, and robust and that third party software across the business is appropriately managed Be a key resource for our Systems Managers (business partners with Aurora departments), providing architectural input to stakeholder requirements, guiding senior stakeholders as required, identifying and delivering scalable solutions Skills, Knowledge and Expertise Required attributes: Proven experience operating as an Enterprise Architect across multiple domains and delivery streams, with demonstrable impact through roadmaps, standards and governance Deep experience working with and governing 3rd Party integration partners, holding them to account and ensuring delivery and architectural alignment Strong understanding of EA disciplines (business/data/application/technology) and ability to connect them to portfolio and operating model decisions Track record defining and executing target-state architectures and transition roadmaps (incremental, time to value led, dependency aware) Hands on experience implementing architecture governance: principles, standards, architecture reviews, exception management and decision records Microsoft ecosystem architecture depth relevant to the organisation's stack, including: Dynamics 365 F&O integration approaches and guidance Salesforce integration approaches and guidance SAP SuccessFactors integration and guidance Power Platform/Dataverse governance and ALM best practice; environment strategy and DLP controls Data Foundation expertise leveraging Microsoft data technologies with particular focus on Microsoft Fabric (or equivalent modern Lakehouse patterns), including governance/lineage and enabling self service analytics safely Enterprise SaaS integration across domains with Salesforce CRM, Dynamics 365 F&O & SAP Success Factors Strong integration design capability: Domain Driven Design, event based integration, API design principles, resilience patterns, operational considerations (SLAs, observability, incident readiness) Excellent stakeholder management and communication: can influence at exec level, simplify complex trade offs, and align diverse teams behind common patterns and outcomes Desirable attributes: TOGAF certification or equivalent applied EA practice Experience establishing EA repositories/tooling, platform guardrails, and measurable architecture outcomes (reuse, risk reduction, simplification) What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle to work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.

Job Title: Lead AI Engineer Division: Data, Technology and Innovation Department: AI Product Delivery Salary: National (Edinburgh and Leeds) ranging from £72,100 to £108,000 and London from £79,300 to £120,000 per annum (salary offered will be based on skills and experience) This role is graded as: Technical Specialist - Regulatory Your external recruitment contact is Benjamin via . Your internal recruitment contact is Lauren via About the FCA and team We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you'll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services. The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. Working alongside the wider AI Programme (which will continue to oversee/coordinate AI activity across the FCA), the department will partner with business leads to shape and deliver work in priority areas - Authorisations, SPC, EMO and Anti Money Laundering. Role responsibilities Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments. Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long-term economic outcomes Skills required Minimum: Extensive backend engineering experience building production services such as APIs and microservices with solid software engineering fundamentals combined with experience developing technical architecture and designs and taking them through enterprise review processes Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively Essential: Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security) Direct experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services Experience Leading Engineering teams: providing technical guidance, aligning on standards/patterns, and adapting plans to resolve delivery and operational challenges Demonstrable capability in prompt design and in setting evaluation/testing approaches for LLM solutions (quality, safety/guardrails and performance), including defining measurable success criteria Benefits 28 days annual leave plus bank holidays Hybrid model where employees work a minimum of 40% in the office each month (expectation of50% for senior leaders). Changing from September toa minimum of 50% in the office each month (expectation of60% for Directors andExecutive Directors) 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 For a full list of our benefits, and our recruitment process as a whole visit our benefits page. Our values & culture Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that's free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation - one that makes better decisions, drives innovation, and delivers better regulation. If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support. We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable. Disability Confident: our hiring approach We're proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role's key requirements. Useful information and timeline Advert Closing: 02/08/26 CV Review/Shortlist: 03/08/26 Interviews W/C: 10/08/26 Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time. At the FCA, we're creating a fair and more resilient financial system. We're establishing more transparent relationships between financial services and their customers, building trust in financial markets and protecting vulnerable consumers. Click here to learn more about the FCA.

Kulipa is a financial services platform built on the infrastructure of tomorrow: Stablecoins. Stablecoins are dollars (and other fiat currencies) tokenized on a blockchain. They are gaining massive adoption throughout the industry, replacing inefficient financial payment rails. We bring the higher efficiency and richer opportunities of stablecoin economies to companies and individuals, worldwide. Our primary service today is issuing stablecoin-powered debit cards, so that card payments work the way they should: Merchants receive payment instantly - rather than multiple days later. End users can pay with currencies of their choice, held in their own custody. This is a big deal in developing markets such as LatAm where users want to shield themselves from local currency inflation and hold dollars/euros, but are restricted by their local banking systems. Why Join Founding Team: Join our early stage, engineer-driven team of former Meta, Google, Curve, Binance, and Mastercard veterans. You can expect to have broad technical responsibility, and receive unfiltered access to business operations & decisions. Achievements: We've launched with some of the biggest crypto wallets (Solflare, Ready). We are a VISA principal member. We've raised pre-seed and seed rounds from top Fintech & Blockchain VCs. Social Impact: Our product fosters financial equality by providing stable, secure access to essential financial services, retaining full control of assets by end users. We offer these services worldwide and especially in economically stricken regions, where users have limited options. Market Disruption: We enable near-instant payments, eliminating delays and costs that affect merchants and consumers alike. We are part of the stablecoin wave of payment technology that will subsume existing payment products. What You'll Do ️Build the foundation: Help define and develop the core backend systems that will underpin our product, connecting blockchain and financial systems. Innovate: We operate a debit card for third-party non-custodial wallets. This has never been done before. You'll be solving new problems, not rehashing existing solutions in a different form. Work directly with customers: Get your hands dirty integrating our system with customers, seeing a full sales and deployment cycle. Reward for Impact Meaningful equity & competitive cash salaries Unique work experience you Simply Won't Get elsewhere We operate globally - travel to interesting places and attend blockchain conferences What We're Looking For Technical expertise: Senior/staff engineering experience with a focus on creating scalable, resilient backend systems. Proactive mindset: A healthy "Can do" approach that is happy to work on both short term hacks and long term fixes. We walk a tightrope between the two. Excited by impact: You want to create a real change in the world that will unleash new economic potential.

Customer Engineer, Agent Builder London, UK On-site Full-time Compensation: £110,000-£150,000 + competitive equity About the Company A category-leading conversational AI platform (Series D+, 201-500 people) that helps major enterprise brands deploy AI agents across voice, chat, email, SMS, and every other channel - replacing support tickets and hold music with faster resolutions and richer conversations. Backed by top-tier venture investors and trusted by recognized enterprise brands. Founded -500 people Industry: Conversational AI / Customer Support The Role A post-sales, deployed engineering role that owns end-to-end execution of AI agent builds for strategic enterprise customers. It's a highly technical delivery role, split roughly 50/50 (up to 60/40) between hands-on technical build and customer-facing engagement, inside a newly formed Agent Builder team working in tight feedback loops with product, success, engineering, and go-to-market. Travel is rare. What you'll be doing Own end-to-end architecture and execution of AI agent builds for enterprise customers - systems design and scoping through implementation, evaluation, and production deployment. Design and engineer the core agentic logic governing agent behavior, plus layered guardrails and supervisory controls for safe, compliant, predictable performance across non-deterministic outputs. Architect, build, and test integrations with customer systems (data pipelines, CRMs, ticketing systems) - the tools, APIs, and workflows needed for reliable deployment at scale. Interface with senior technical stakeholders at customers to define success criteria and system requirements, and drive technical delivery against timelines. Diagnose, debug, and resolve probabilistic and technical failures via root-cause analysis, and design evaluation and regression-testing frameworks that guard against performance drift. Tech stack: Python (core); LLM / AI-agent tooling (prompting, evaluation, guardrails, workflow design); enterprise integrations (CRMs, ticketing systems, data pipelines, APIs). Requirements 3 to 5 years technical customer-facing experience, post-sales Strong Python proficiency (hard requirement) CS or adjacent quantitative degree preferred LLM / AI agent build experience a plus Green Flags Software engineer or forward-deployed engineer pivoting intentionally into customer-facing, post-sales delivery Strong, demonstrable Python ability with end-to-end integration work, comfortable coding without AI assistants Track record of delivering production-grade customer solutions requiring structured execution, testing, and iteration Clear communicator who can be walked into a room with senior executives without hand-holding CS degree from a strong program and hands-on experience building with LLMs or AI agents (prompting, evaluation, guardrails, tooling) Red Flags Wants to pivot toward pre-sales rather than own post-sales technical delivery Weak or unproven Python, or reliance on AI coding assistants to produce working code Purely operational or IT-management background that does not transfer to hands-on engineering Why Join Ground-floor seat on a newly formed Agent Builder team (small and growing) with real influence over how the team and the agent-building platform evolve. Genuine technical depth - hands-on build work (agentic logic, guardrails, integrations, evaluation frameworks) alongside customer-facing delivery, not a pure customer-success seat. Category-leading platform with strong venture backing and marquee enterprise customers. Details Location - London, UK Work policy - In-office, 5 days per week Compensation - £110,000-£150,000 + competitive equity Visa sponsorship - None available Employment type - Full-time

Sr Director, Platform Engineering - Data Platform & Agentic PlatformApplylocations: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R116059Are you passionate about building scalable platforms that power data-driven innovation and AI-enabled solutions?Do you enjoy leading high-performing engineering teams and delivering reliable, secure, and impactful platform capabilities at scale? About our Team At LexisNexis Intellectual Property Solutions, our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. Each and every day, the work our team does supports the development of new technologies and processes that ultimately advance humanity. Helping our customers reach their goals is our primary focus. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations and ultimately achieve superior results. Our overall success is measured by how well we deliver these results. We are proud to directly support and serve these innovators in their endeavors to better humankind. About the Role As Senior Director, Platform Engineering - Data Platform & Agentic Platform, you will lead the engineering organization responsible for delivering and operating shared platform capabilities that enable trusted data services and production-grade AI-driven workflows. Working closely with Platform Product Management, you will help ensure platforms are scalable, reliable, secure, and widely adopted across product domains while supporting innovation through high-quality engineering execution. Responsibilities Lead engineering delivery for shared platform services and data capabilities consumed by multiple product domains Translate product-defined platform requirements into scalable technical designs and executable delivery plans Provide capacity forecasts, sequencing options, and delivery risk assessments to support platform roadmap decisions and domain commitments Build and operate ingestion, integration, and modernization capabilities that improve consistency, trust, and reuse of IP data across domains Implement canonical data contracts and APIs as defined through governance, including versioning and backward compatibility mechanisms Implement and operate agent workflow platform capabilities aligned to product-defined standards and interfaces, including traceability, state handling, and convergence patterns Implement production-grade evaluation, observability, auditability, and guardrail mechanisms required for safe AI workflows Implement security controls, access governance, encryption, and audit requirements in partnership with InfoSec while ensuring enterprise SDLC, vulnerability management, and change management compliance Requirements 12+ years leading platform engineering teams delivering shared services or large-scale SaaS systems with production operations accountability Demonstrated success building and operating platforms adopted by multiple product teams, including reliability discipline (SLOs), observability, and incident management Strong hands-on technical leadership background in distributed systems and platform engineering Deep experience with data platform engineering at scale, including ingestion and integration patterns, data quality enforcement, metadata and lineage, and secure access controls Experience enabling AI-powered systems in production, including evaluation, monitoring, observability, auditability, and guardrails Strong ability to partner with product leaders on contract-driven platforms and deliver outcomes without creating bottlenecks Proven capability to hire and develop high-performing engineering teams, including AI platform engineers Experience building AI workflow platforms or shared AI platform services, including orchestration and production-grade monitoring; familiarity with runtime safety patterns and operating regulated or high-trust systems is advantageous Work in a Way That Works for You We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. 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.

Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. 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. Our Commitment to Diversity and Inclusion