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Job Title: Senior GCP Cloud Infra Engineer Location: Bristol, Leeds, Halifax, Manchester, Edinburgh- 2Days/week Onsite Duration: 6months+ Contract Inside IR35 550GBP/Day The Role We're looking to recruit Senior GCP Infra DevOps Engineer to be part of our Public Cloud Platform and help achieve our mission to provide compliant and efficient Google Cloud Infra, product and DevOps capabilities for the Group and drive innovation to enable customers to have rapid and seamless Google Cloud Adoption and build their business journeys more scalable, resilient and efficient . Your role will be part of a cross-disciplinary feature team in addition to being a highly experienced member of our wider Lloyds engineering team delivering change. Your role as a GCP Cloud Infra & DevOps specialist involves supporting teams with modern DevOps solutions, curating scalable GCP Cloud Products as IaaC. You'll learn new skills, technologies and approaches to software development as well as benefiting from a culture that celebrates diversity, equal opportunity. Your responsibilities: • Hands-on GCP Cloud Engineering with a strong GCP DevOps and CI/CD background, • Deep expertise in Infrastructure as Code (IaC) and proven experience in Terraform / Terraform Cloud., • Strong hands on experience on curating GCP Cloud Products and Infrastructure, • Build automated workflows around the products using Python Scripting., • Proficient in Google Kubernetes (GKE), Container, Istio Service Mesh, Cluster Management, • Audit and restructure existing Terraform modules and state files, • Migrate legacy configurations into unified, reusable templates, • Implement security-focused Terraform modules with embedded guardrails and policy-as-code (e.g., Sentinel, OPA), • Enforce GCP Org Policies with constraints like IP restrictions, network policy, Access Management, encryption, and region control for secure, compliant cloud governance, • CI/CD Integration, • Implement automation pipelines for infrastructure-as-code deployments Your Profile Essential skills/knowledge/experience: • GCP Cloud Engineering, GCP DevOps & Infra, • Terraform / Terraform Cloud (IaaC), • Python Scripting., • Harness, Jenkins, GitHub, • Google Kubernetes (GKE), Container, Istio Service Mesh, • GCP Organisation Policy, Custom Org Policy (Policy as a Code) – Sentinel/OPA, • GCP and Terraform Certified, • Good to have experience working in an IDE Platform for Cloud Engineering (e.g. Backstage) Desirable skills/knowledge/experience: Looking for Senior Engineering Skills as GCP Cloud SMEs who has contributed also as a Technical Consultant in guiding Design, Architecture and Strategy. Bringing in thought leadership in driving innovation, best practices Good communicator, collaborator and Leader with experience on working with multiple organisational stakeholders. Priyanka Sharma Senior Delivery Consultant Office: 02033759240 Email:

🚀 About Webigence and Spark Travel Webigence has 25 years of experience crafting UX‑first, often highly complex software. Our engineers pair forward‑thinking agile practices with an obsession for intuitive design, shipping products that feel effortless even when the logic underneath is anything but. Alongside a handful of long‑standing third‑party clients, we’re scaling our own SaaS product—Spark Travel—at pace. You’ll join a smart, collaborative team that pushes each other to articulate and defend every architectural decision in pursuit of best‑in‑class software. Spark Travel itself is on a mission to drag the tailor‑made travel industry into the 21st century. Our cloud‑native platform unifies sales, supplier contracting, dynamic pricing, and on‑trip operations—everything from the first quote to the traveller’s safe return. The market is huge, the incumbents are slow, and we already have meaningful traction: roughly 35 customers and an accelerating sign‑up pace, a very healthy sales pipeline, and a roadmap brimming with genuinely novel features. With a fantastic existing team across engineering, product, customer success, marketing, and sales, we’re gearing up for hyper‑growth. We’re looking for two down‑to‑earth professional, a conscientious Senior Software Developer, to build on what already works and unlock our next wave of innovation. 🌟 Your Impact • Raise the bar sensibly. Whether you’re refining our Azure architecture as CTO or shipping revenue‑critical features as Senior Dev, you’ll set high standards without reinventing the wheel., • Champion intuitive user experiences. Both roles care deeply about usability, ensuring our platform feels effortless for travel pros and their travellers., • Own the craft. Understand the problem, ship the solution, measure the outcome—and when something’s working, double‑down on it., • Move the needle. Your work will streamline the day‑to‑day of leading tailor‑made tour operators and DMCs—enhancing trip experiences for their travellers as we scale. 🧭 Role Snapshot 2️⃣ Senior Software Developer • Be UK‑based (remote within the UK) with ability to attend occasional team meet‑ups in London (travel expenses covered)., • Design, build, and maintain features across the stack: .NET (C#) based API backends, Angular (TypeScript) based frontends, SQL Server, Cosmos DB., • Own mission‑critical modules such as pricing engines, itinerary or form builders, client proposal app, etc., • Write clean, tested code; automate everything from CI/CD pipelines (Azure DevOps/GitHub Actions) to performance benchmarks., • Investigate and diagnose issues and perform root cause analysis., • Collaborate cross-functionally with Product, Design, and Customer Success., • Propose incremental improvements and occasionally explore new tech (e.g. Azure OpenAI) when it clearly solves a problem. You might be our Senior Dev if… - Hold a 1st-class or 2:1 degree in Computer Science or a closely related discipline. - 4+ years building modern web or data applications with .NET and at least one JavaScript framework. - Hands-on experience with Azure or another major cloud provider, plus an understanding of microservices and event-driven architectures. - You love balancing delivery speed with technical excellence, and you’re keen to keep learning. 🎁 What We Offer • Competitive salary, equity options coming soon, • Remote‑first culture with asynchronous workflows, • Private healthcare, • Employer pension contributions above statutory, • Home‑office setup budget, • Coworking space allowance, • Flexible hours with async core overlap, • Professional‑development budget, • Conference & certification leave, • Choose‑your‑own‑tech toolkit, • Travel‑to‑London expenses for required in‑person meetings, • Collaborative and innovative company culture 📩 How to Apply • Send your CV., • Confirm you are currently living and legally able to work in the UK., • Share one project or decision you’re proud of, why it mattered, and what you learned. Please note: We are only considering UK‑based applicants who fully meet the role criteria. Applications that do not comply will not be considered now or in future hiring rounds. Deadline: 15th November 2025 (rolling review—apply early). Spark Travel is an equal‑opportunity employer and a welcoming neurodiverse team. We celebrate diversity and are committed to creating an inclusive environment for all. We’re not just saying that, we really mean it!

Machine Learning Engineer Location - Remote (UK) Salary - £80,000 I am partnering with a product-led MarTech company building an AI-driven platform that helps teams make better decisions about digital content and performance. The platform applies machine learning to real-world data to analyse and improve how content performs at scale, moving decision-making away from guesswork and towards measurable insight. AI is a core part of the product and is already embedded in live, customer-facing workflows, running on a cloud-native stack with strong use of Google Cloud Platform (GCP). What You’ll Be Doing • Lead the development and deployment of machine learning models used in a live SaaS product, • Own models end-to-end from experimentation through production deployment, monitoring, and iteration, • Work closely with product, engineering, and non-technical stakeholders to embed AI into real workflows, • Improve the scalability, reliability, and performance of existing ML systems, • Review code and architecture, setting a high engineering standard, • Analyse data and run ad-hoc studies to generate actionable insights into marketing effectiveness What They’re Looking For • Strong experience as a Machine Learning Engineer / AI Engineer in a product-led environment, • Advanced Python skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries, • Experience deploying and maintaining ML models in production, • Solid software engineering fundamentals (algorithms, data structures, clean code), • Comfortable working with Docker and containerised systems, • Experience collaborating cross-functionally and owning delivery, not just models, • A mindset focused on impact, curiosity, and continuous improvement

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

THE OPPORTUNITY: Lead RevOps Strategist & Platform Specialist, Data Center (remote role UK or Spain) Job Summary: Iron Mountain is seeking a highly experienced, proactive, and strategic Lead RevOps Strategist & Platform Specialist to join our IMDC Global Services team in the UK or Spain (remote role). The Lead RevOps Strategist & Platform Specialist will serve as the pivotal link between our business strategy and the technical execution of our end-to-end Revenue Operations (RevOps) platform. This role is far more than a traditional Business Analyst (BA); it is a "super BA" responsible for the functional design and continuous, strategic evolution of our Salesforce-based RevOps ecosystem, spanning Lead-to-Cash. This role operates under the direction of the Platform Architect and requires a proactive leader who can strategically identify, design, and implement process, automation, and AI solutions to significantly reduce manual input and errors across the organization. The ideal candidate will leverage their deep expertise in business process optimization and the Salesforce platform within the context of complex financial and commercial operations, ideally within the data center or REIT industry. What You'll Do (Responsibilities) In this role, you will: • Architect Partnership & Strategic Translation: Work directly with the Platform Architect to translate the long-term platform strategy and technical roadmap into detailed, actionable functional requirements and user stories. Serve as the chief translator between holistic business needs across Sales, Finance, and Operations and platform capabilities, particularly for the interdependencies of the Lead-to-Cash process., • Process Optimization & Automation: Proactively identify inefficiencies, bottlenecks, and high-manual-input areas within current business processes. Design and champion future-state processes that leverage automation and AI to significantly reduce manual input and errors, driving efficiency, data integrity, and compliance across the organization., • Lead-to-Cash Expertise & Conga Specialization: Deeply understand, manage, and optimize the automation across the full revenue cycle, including Account & Contact Management, Opportunity Funnel, Quoting & Contracting, and ultimately Billing & Revenue. Become the primary functional expert for the Conga Quote-to-Cash suite (CPQ, CLM, Revenue, and Billing), designing and implementing complex pricing rules, contract automation workflows, and billing schedules within the Conga and Salesforce framework., • Requirements & Data Governance Ownership: Own the full requirements lifecycle, ensuring functional specifications align with the technical design and organizational objectives. Establish and enforce data governance policies and procedures to ensure the accuracy and reliability of all RevOps data for reporting and financial purposes. What You'll Bring (Skills & Qualifications): The ideal candidate will have: • Experience: 5+ years of experience in a senior Business Analyst, Solutions Specialist, or equivalent RevOps role, with a strong focus on Salesforce implementations., • Salesforce Expertise: Proven proficiency in Salesforce Sales Cloud, Service Cloud, or Platform, including advanced knowledge of declarative automation tools (Flow, Process Builder, and Workflow Rules). Salesforce Administrator Certification is required; Platform App Builder or Sales Cloud Consultant certifications are highly desired., • RevOps/CPQ Expertise: Hands-on, demonstrable experience with an enterprise Quote-to-Cash solution. Specific experience with the Conga suite (CPQ, CLM, and Revenue/Billing) is a significant advantage., • Industry Acumen: Experience or strong foundational understanding of data center operations, telecommunications, commercial real estate (REITs), or similar capital-intensive, recurring-revenue business models is highly preferred., • Key Soft Skills: Exceptional critical thinking and structured problem-solving skills, with the ability to define business problems and derive automation-centric solutions. Demonstrated experience working within an Agile/Scrum framework, including the ability to act as a Scrum Master or key contributor in sprint planning, backlog refinement, and delivery of platform enhancements. What We Offer (Benefits): • 100% remote role in the UK or Spain, • Competitive compensation and benefits aligned with the experience., • Comprehensive health, wellness, and retirement plans., • Opportunities for continuous learning and professional growth., • Flexible work options/alternative work options to support work-life balance. Ready to Make an Impact? If you are a proactive leader with deep expertise in Salesforce, Conga, and strategic process optimization who is ready to drive the next evolution of our Lead-to-Cash platform, we want to hear from you. Apply today to become our Lead RevOps Strategist & Platform Specialist! #LI-Remote

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The Role As a Software Engineer at Aveni, you’ll be responsible for building and scaling the products that sit on top of FinLLM (the UK's first LLM for the Financial Services industry) and other LLMs, enabling financial institutions to adopt AI safely and effectively. You won’t be expected to build or train the LLMs themselves, instead you’ll be engineering the platforms, services, user interfaces and integrations that bring those models to life in the hands of advisers, analysts and banking teams. Your work will focus on: • Designing and implementing robust event-driven microservices and APIs, • Building scalable, cloud-native systems on AWS, • Developing modern, responsive React front-ends, • Integrating LLM-powered capabilities into real-world workflows, • Collaborating closely with product and AI specialists to turn ideas into reliable, customer-ready features What you’ll be working with You should be comfortable with most of our core technologies: • Node.js and TypeScript, • React and modern front-end tooling, • AWS (e.g., Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS), • NestJS or equivalent back-end frameworks, • Microservices and event-driven architectures We also actively embrace AI coding assistants (such as Claude Code) to speed up development, improve code quality and reduce repetitive work — and we encourage engineers to use these tools effectively. What we’re looking for: • Experience building production systems using Node.js / TypeScript, • Hands-on experience developing UIs with React, • Solid understanding of cloud-native engineering on AWS, • Experience with microservices, messaging patterns and distributed systems, • A commitment to clean code, testing, observability and operational excellence, • A proactive and motivated mindset — someone who wants to build, ship and iterate quickly, • Interest in AI-powered products and a drive to learn Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI! What we offer: • A collaborative and innovative work environment, • Career growth opportunities towards Technical Lead and beyond, • Exposure to cutting-edge AI-first engineering practices, • 34 days holiday plus your birthday off, • Share options, • Remote and flexible working, • Life insurance, • Income protection, • Private health care, • Eyecare, • On-going career development and training, • Freebies and discounts, • Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counseling and emotional support), • Cycle to work scheme, • Pension scheme (employer contribution matched up to 5%) We’re a remote-first company across the UK, with regular off-sites and in-person gatherings that are always fun, motivating and team-focused. If you want to build high-impact technology at the frontier of applied AI and help bring new products and intelligent agents to market, you’ll thrive here.

About Us We are a fast-growing fintech company building modern, scalable platforms that power real-world financial products. Our engineering culture values clean architecture, strong ownership, and pragmatic innovation. We operate in a cloud-native, microservices environment and invest heavily in frontend quality, design systems, and developer experience. The Role As a Lead Fullstack Engineer, you will play a key technical leadership role across frontend and backend systems. You’ll help shape architecture decisions, lead by example in code, and work closely with product, design, and other engineers to deliver high-quality, scalable solutions. This role is hands-on and ideal for someone who enjoys building modern web applications while mentoring engineers and influencing technical direction. Responsibilities • Lead the design and development of fullstack solutions in a microservices architecture, • Drive frontend excellence, including component design, design systems, and web standards, • Architect, build, and maintain scalable backend services, • Collaborate with product managers and designers to translate requirements into technical solutions, • Guide best practices around code quality, testing, performance, and security, • Mentor and support engineers through code reviews, pairing, and technical guidance, • Contribute to cloud and platform decisions, including deployment and observability Tech Stack & Environment Frontend: • Svelte (primary), with openness to React or Angular experience, • Strong focus on web components and reusable design systems, • Node.js or Python (microservices-based), • API-driven architecture, • Infrastructure & Cloud:, • Kubernetes, • AWS, • Containerized, cloud-native deployments, • Data:, • SQL databases What We’re Looking For • Strong experience as a senior or lead fullstack engineer in modern web environments, • Deep knowledge of JavaScript and frontend architecture, • Experience with Svelte, React, or Angular (Svelte experience is a plus, not a requirement), • Backend experience with Node.js and/or Python, • Solid understanding of microservices architecture, • Hands-on experience with Kubernetes and AWS, • Strong SQL skills and experience designing data models, • Proven ability to lead technically and mentor other engineers, • Comfortable working in a fast-paced fintech or product-driven environment Nice to Have • Experience building or maintaining design systems, • Exposure to web components standards, • FinTech, payments, or regulated-industry experience, • CI/CD and DevOps best practices What We Offer • Opportunity to lead and shape core technical systems, • Modern tech stack with real architectural ownership, • Collaborative, product-focused engineering culture, • Competitive compensation and benefits, • Flexible working arrangements

Salesforce Test Analyst Note: Active SC Clearance Required Role overview: We are seeking a highly skilled and experienced Quality Assurance Consultant to join our team on a permanent basis. The successful candidate will be primarily responsible for ensuring the quality of Salesforce Service Cloud solutions throughout the development lifecycle. This role demands a strong background in software quality assurance, meticulous attention to detail, and a proactive approach to identifying and mitigating potential issues. The QA Consultant will work closely with developers, architects, and project managers. Key responsibilities: • Develop and execute comprehensive test plans and test cases for Salesforce Service Cloud implementations, based on provided designs and user stories., • Perform various testing activities, including functional testing, regression testing, integration testing, system testing, and user acceptance testing., • Identify, document, and track software defects using Jira, ensuring clear communication with the development team., • Analyze test results and provide detailed reports to project stakeholders, highlighting areas of risk and potential improvements., • Collaborate with developers to ensure that solutions meet quality standards and business requirements., • Participate in requirements gathering and design reviews to provide input on testability and quality considerations., • Contribute to the development and improvement of QA processes and best practices., • Work within an Agile development environment, participating in sprint planning, daily stand-ups, and retrospectives., • Ensure adherence to project timelines and deliverable deadlines., • Create and maintain test documentation, including test plans, test cases, and test summary reports. Key Skills & Experience: • 5+ years of hands-on experience as a Quality Assurance Consultant or Software Tester., • Extensive experience with Salesforce Service Cloud implementations., • Strong understanding of software testing methodologies and best practices., • Proficiency in designing and executing test plans and test cases., • Experience with Jira for defect tracking and test management., • Solid understanding of Agile development methodologies (e.g., Scrum, Kanban)., • Excellent analytical and problem-solving skills, with a keen attention to detail., • Strong written and verbal communication skills, with the ability to communicate technical issues clearly and concisely., • Ability to work independently and as part of a team., • Salesforce certifications (e.g., Salesforce Certified Service Cloud Consultant) are highly desirable., • Experience with Accessibility requirements and testing, • Experience with test automation tools (e.g., Selenium, Provar)., • Experience with Accessibility requirements and testing, • Experience with Salesforce Lightning Web Components (LWC)., • Knowledge of Salesforce integrations using REST and SOAP APIs., • Experience with tools like Zephyr., • Proven experience in test automation.

🚀 Founding Engineer, World Class AI Startup Location: San Francisco, relocation from the UK provided, visa sponsorship available Compensation: Up to $180,000 base, plus equity and benefits About the Opportunity We are looking for an exceptional Founding Engineer to join a world class team building transformative artificial intelligence technology. This is a rare opportunity to work on cutting edge AI systems that will redefine how intelligence is built, deployed, and owned. You will be joining a highly selective group of engineers and researchers, including individuals from Oxford and Cambridge, working at the frontier of AI infrastructure and product innovation. The long term upside is significant, with the potential for genuinely life changing financial outcomes through equity participation. Why This Role Is Special Work on transformative AI technology that challenges cloud first paradigms and enables powerful AI systems to run efficiently across diverse environments Collaborate with elite technical talent from leading global universities Gain meaningful equity ownership in a company with exceptional growth potential Relocate to San Francisco with full visa sponsorship and support Have direct influence over product direction, architecture, and engineering culture Role Responsibilities Design, build, and scale core AI driven systems and platforms Work closely with research, product, and engineering to translate complex ideas into production ready software Own technical decisions and help shape long term architecture Move fast, experiment often, and build systems that can scale globally Technical Experience Experience with TypeScript, React, Node.js, Python, or similar backend languages Hands on experience building and shipping production systems Exposure to AI tools, machine learning platforms, or AI powered products Strong understanding of system design, performance, and scalability Who You Are Highly motivated, curious, and driven by solving hard problems Comfortable working in fast moving, high ownership environments Excited by early stage startups and building from first principles Ambitious, with a desire to build something category defining Compensation and Benefits Base salary up to $180,000 Meaningful equity with long term upside Visa sponsorship and relocation support from the UK to San Francisco Work alongside some of the most talented engineers in the industry

(Remote) Platform Engineering Manager - ScaleUp - up to £120k (base) "The best leaders don't create followers, they create more leaders." This role is the embodiment of that principle. It’s not about maintaining the status quo; it’s about building the platform—and the people—that will power the next chapter of growth for a established business thinking like a startup. Few&Far are partnering with a Sunday Times 'Best Place to Work' that is entering a pivotal scale-up phase. They have the solid foundation and customer base of a corporate, but operate with the agility, ambition, and startup mindset of a much younger company. They need a leader to architect their technical future. Here’s what’s cool about them: • The Culture: A recognised 'Best Place to Work' with a remote-first, UK-based team. They are problem-solvers, not ticket-takers., • The Scale & Impact: You won't just be keeping the lights on. You'll be developing the data platform strategy from the ground up and taking ownership of critical infrastructure that serves thousands of practices., • The Tech: They're leveraging the latest tech, including AI and LLMs, to solve real-world problems and change the face of an entire industry. Here’s what you’ll be doing: • Manage and mentor approximately 10 engineers across two key teams, • Take ownership of the platform engineering roadmap, with a sharp focus on infrastructure management, cost optimisation, and reliability., • Partner closely with the Head of Data to define and build the long-term data platform strategy., • Thrive in a fast-paced environment, expertly juggling a high volume of parallel requests and initiatives to keep pace with business ambition. Here’s what they are looking for: • A proven Engineering Manager experience in a growth-stage or mature SaaS company., • A solid background in DevOps, SRE, or Platform Engineering is ideal. A Product Engineering Manager with a strong infrastructure affinity will also be considered., • Hands-on experience with cloud platforms (AWS is a plus)., • A leader who has thrived in a transition-phase company—you know how to build and scale systems and teams, not just maintain them. So if this sounds like you then please hit that apply button to find out more or email me directly at

🛡️ Principal Software Architect (FinTech SaaS) – UK Remote 💻 We are representing a scaling B2B FinTech that provides core decisioning infrastructure for the global financial services sector. Their enterprise SaaS technology enables major lenders to modernise their credit assessment processes, allowing for more efficient deployment of capital to the commercial sector. By integrating sophisticated data layers into traditional banking workflows, they are significantly improving how credit is optimised and distributed to businesses. We are looking for a heavyweight Principal Engineer to serve as the ultimate technical authority and strategic advisor across multiple product squads. 🇬🇧 Location: Remote-friendly (UK). The team values flexibility, with an expectation to attend high-level strategy meetings or client sessions in London a few times a month. 💰 Salary & Package: £140,000 + Equity, 25 days leave (plus Bank Holidays), 4x Life Assurance, Private GP, and a comprehensive rewards scheme. ❓ Is this your next challenge? • Are you a product-obsessed engineer? We need someone who doesn't just build to spec, but obsessively focuses on the customer and identifies the right problems to solve to deliver maximum commercial impact., • Do you excel at cutting through ambiguity? You should enjoy transforming vague product needs into flexible, extensible architectural solutions that solve real-world industry problems., • Are you a veteran developer who still loves being "hands-on"? This role requires a technical leader who stays close to the code while guiding high-level strategy and acting as a primary mentor for senior engineers. The Opportunity 🎯 This is a high-visibility leadership role. You won't just be managing a team; you’ll be fostering a culture of "intellectual curiosity" and engineering excellence across several multidisciplinary squads. You will be the bridge between complex product needs and robust, scalable reality—helping the business "make it work, then make it beautiful." What You’ll Be Driving 🛠️ • Technical Governance: Acting as the trusted authority on architecture, ensuring systems are flexible, scalable, and resilient., • Platform Evolution: Leading the design of robust functionality, including developer-friendly APIs, intricate domain modeling, and data integrations., • Strategic Problem Solving: Identifying cross-cutting technical hurdles and driving the adoption of solutions across the entire engineering organisation., • High-Bar Mentorship: Setting the gold standard for collaboration, from technical coaching to providing exceptionally clear documentation and code reviews., • Product Collaboration: Working alongside Product Managers to turn business goals into elite-level software. Your Experience & Expertise ✨ • Consistent Senior Leadership: You have a proven track record of continuous experience in a Senior Staff, Principal or Architect capacity., • Back-End Mastery: Extensive professional background working with the JVM ecosystem (specifically Java or Kotlin)., • Modern Web & Orchestration: Ideally you will have proficiency in JavaScript frameworks and experience with workflow engines., • Cloud-Native Data: Solid experience architecting on AWS and managing both relational and document-based data stores like Postgres and MongoDB., • Delivery Standards: You are a champion of automated testing and deployment pipelines, with deep expertise in TDD and CI/CD workflows., • Complex Domains: Ideally, you have navigated the world of SaaS within regulated environments, understanding the nuances of data protection and multi-tenant security. ➡️ If you are a product-focused technical leader ready to own the strategy of a disruptive FinTech platform, apply now! (Please note: Applicants must have the right to work in the UK as visa sponsorship is not available at this time).

About Quantiphi: • Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed., • Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead., • Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We have been recognized with: • 17x Google Cloud Partner of the Year awards in the last 8 years, • 3x AWS AI/ML award wins, • 3x NVIDIA Partner of the Year titles, • 2x Snowflake Partner of the Year awards, • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms, • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators, • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023 Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Sr Machine Learning Engineer Experience Level: 5+ years Employment type: Full Time Location: Remote (UK) Job Summary We are seeking a Sr Machine Learning Engineer to join our growing team. In this role, you will design, develop, evaluate, and deploy traditional machine learning models and solutions to solve real-world business problems. You’ll work closely with cross-functional teams including Data Science, Software Engineering, and Product to translate analytical insights into scalable production systems. This is an exciting opportunity for a data-savvy individual with a strong business acumen to make a significant impact on our customer retention and long-term success. Key Responsibilities: • Design, train, validate, and optimize classical ML models (e.g., regression, decision trees, random forests, gradient boosting) for structured and semi-structured data., • Perform feature engineering, model selection, hyperparameter tuning, and evaluation using tools like scikit-learn, XGBoost, LightGBM., • Build robust data preprocessing pipelines and scalable workflows for model training and inference., • Collaborate on the development of agentic AI components — systems capable of autonomously planning, adapting, and executing tasks toward high-level goals with limited human oversight., • Integrate classical machine learning models into agentic AI workflows where predictive capabilities inform planning, decision-making, and action selection., • Develop and evaluate interfaces between agentic components and external tools, APIs, or systems to enable real-world actions., • Work closely with data engineers, software developers, product owners, and domain experts to translate analytical insights into operational workflows., • Document model development, deployment decisions, and agentic AI design choices., • Contribute to best practices in ML lifecycle management and agentic system governance., • Experience with other GCP services like Cloud Storage, Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: • Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline., • 5 years of progressive experience in data analysis, business intelligence, or data science roles. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Senior AI Engineer The Essentials Location Remote UK, with expectation for attendance in the office for team meetings (approx. every two months) Employment Type Full-Time, Permanent The Opportunity Are you interested in making a difference by developing products used by the world’s largest Pharmaceutical Companies? Are you interested in working with pioneers in the field of AI and software engineering? Are you interested in innovating for impact? If you are then read on for a role with a difference where you can join our inspiring team and make a big difference with class-leading solutions. We are expanding and looking for an AI Engineer to join our team developing ground-breaking products using the latest AI and LLM (Large Language Model) agentic technologies. Our innovative solutions are transforming the industry, and we are looking for passionate individuals to join us in our mission to revolutionise healthcare in a role with a difference. Job Description We are seeking an AI Engineer with expertise in building scalable, production-grade systems and a passion for AI/LLM technologies and innovation. You will design, develop, and maintain our platform’s backend infrastructure, focusing on multi-tenant architectures, security, and efficient LLM integration. This role requires a strong understanding of Python web frameworks, cloud services (particularly AWS), and modern AI approaches including working with agentic architecture. Key Responsibilities Backend Development & Architecture - Design and implement scalable Python backend services, architect and maintain secure, high-performance, production multi-tenant systems, and develop RESTful and asynchronous APIs for internal and external use. LLM, Agents & AI Integration - Drive R&D innovation to meet client goals by building AI agentic workflows, advanced search, robust interaction and context management, and extending core model capabilities and protocols. Leadership & Collaboration - Collaborate on UI/UX integration, code reviews, architecture and roadmap decisions, and cross-functional work with data science, product, and commercial teams. Data Engineering - Design and maintain efficient data pipelines, ensuring smooth data flow between systems and LLM components while implementing robust validation, transformation, and enrichment processes. Cloud & Infrastructure - Design and implement AWS-based cloud infrastructure using infrastructure-as-code approaches and maintain CI/CD pipelines for reliable deployment and testing Security & Compliance - Operate to the highest security standards as expected by ISO27001 Qualifications and Skills Required Skills and Experience Ø 5+ years of Python backend development experience (fewer years’ experience is acceptable for exceptional candidates) Ø Strong experience of using LLMs/AI in a production setting and use of the latest techniques working with LLMs Ø Strong knowledge of cloud services (preferably AWS) and infrastructure-as-code Ø Experience with containerisation, orchestration, and CI/CD pipelines Ø Understanding of database scaling, caching strategies, and performance optimisation Ø Familiarity with LLM technologies and latest utilisation methodologies, including agentic workflows Ø Strong understanding of software design principles and coding standards Preferred Skills and Capabilities Ø Familiarity with React or other frontend technologies for better cross-team collaboration Ø Experience implementing LLM integration frameworks Ø Background in pharmaceutical or healthcare domain Ø Familiarity of working to ISMS ISO27001 standards Ø Growth mindset combined with tenacity Ø Entrepreneurial approach driven by curiosity and innovation Ø Deep customer centricity What We Offer Ø Competitive salary and benefits Ø Opportunities for professional growth Ø Flexible work hours and remote work Ø Collaborative, inclusive work environment Ø Chance to work on cutting-edge AI technologies with real-world impact Selection process • Screening interview with HR, • Introductory interview with hiring manager/technical exercise, • Capability interview with CEO/team members Circuit Medical Circuit Medical is a well-established, research-driven global consultancy that specialises in delivering comprehensive services to maximise the value of medical affairs and other functions to the biopharmaceutical industry. We proudly support leading global pharmaceutical companies such as AstraZeneca, Roche, Takeda, and many others. As we expand our digital offerings, we are building a suite of products aimed at enhancing quality, efficiency and performance for our clients and ultimately help patient care. Circuit Medical excels by being different, curious, innovative, working with ambiguity, being collaborative, communicative, all for the greater good and always delivering to a high quality. Circuit Medical welcomes everyone and creates inclusive teams where we celebrate different backgrounds, experiences, and perspectives. We encourage colleagues to bring their whole selves to work. We provide equal employment opportunities to applicants and employees without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, or disability. We promote a culture of trust, support, and acceptance.

Accelerant is building a new platform that will serve as the backbone of how risk is exchanged in the future. The Product & Technology team is looking for a Full Stack Software Engineer who is passionate about building high quality software systems that are valued by customers. If you join our team, here are some of things you’ll be doing: • Working closely with peer engineers, product managers, and other stakeholders to understand project requirements and deliver solutions that meet business needs., • Developing new frontend and backend features that help make our customers successful., • Writing backend code in Typescript that is fully unit tested., • Writing frontend code in Svelte, optimizing the frontend codebase for speed, efficiency, maintainability, and scalability., • Moving fast, while taking the time to ship high-quality code. What you bring to the table: • Experience building and scaling web applications., • Strong understanding of modern JavaScript frameworks., • Strong coding ability., • Passionate problem-solving mindset., • Reputation for getting things done., • Strong sense of ownership., • Desire to learn and grow. Desired qualifications: • Experience with Typescript., • Experience with Svelte, web components, or equivalent component model., • Experience with cloud platforms such as AWS, and databases such as Postgres and Snowflake., • Experience with SQL-Like databases and data caching strategies such as Postgres, Snowflake, and Redis. About Accelerant: Accelerant is a data-driven, technology-fueled insurance platform that empowers underwriters to more effectively serve their insureds. We’re using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and mediumsized businesses that power our global economy and their niche insurance needs, we align incentives to improve outcomes for everyone. Our full-service risk exchange supports our carefully selected, best-in-class network of underwriting teams. We leverage granular information on each policy to deliver unprecedented insight into insurance pools, and our specialty portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. Confiden'al We’re proud to have been awarded an AM Best A- (Excellent) rating. For more information, please visit . Accelerant is a fully remote company. Work where you’re most productive and fulfilled. This position is open to remote candidates across the U.S. Canada, UK, and Europe, who have the flexibility to work with our teams distributed across Europe and North America. Most cross-team collaboration happens in the mornings of the Eastern Time Zone

Lead Machine Learning Engineer Xcede has started working with a leading AI solutions company. Wanting to Shape the future of the energy transition, you will lead high-stakes AI projects that influence systems, people, and real-world outcomes. You will provide deep technical leadership across a range of initiatives, from shaping AI approaches to overseeing production delivery, while making and validating robust system design decisions. In this role, you will provide senior technical leadership across complex machine-learning initiatives, shaping direction and priorities, guiding teams and stakeholders through ambiguous, high-risk delivery, building durable shared solutions, growing engineering capability through hiring and mentoring, and driving the adoption of new technologies to ensure long-term impact and competitiveness. Requirements: • Need to be a senior technical authority, able to dive deeply into complex areas while drawing on broad expertise to tackle a wide range of challenges, • You have advanced proficiency in Python and hands-on experience taking machine-learning models from development into live use with modern ML frameworks, • You have deep experience working within at least one large-scale cloud platform and have guided teams in delivering end-to-end software applications., • You have practical experience packaging and running applications in containerised environments and managing them at scale, • You have experience guiding and supporting engineering teams, aligning individual growth with collective goals to strengthen delivery outcomes, • You approach delivery with creativity and initiative, taking full responsibility for driving projects through to successful completion, • You communicate with clarity and confidence, helping partners achieve their objectives while aligning technical teams and non-technical audiences If you are interested in this or other ML Engineer positions, please contact Gilad Sabari @ | 02074226861

Machine Learning Engineer - Contract (Financial Services, Outside IR35) Duration: 6 months Rate: £650 - £750 per day IR35: Outside Location: UK / Remote We’re seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong appreciation for robust engineering, governance, and scalability. Responsibilities • Design, build, and deploy machine learning models into production within a Financial Services environment, • Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams, • Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring), • Ensure models meet requirements around performance, resilience, and explainability, • Contribute to MLOps best practices, model governance, and technical standards, • Support model monitoring, drift detection, and ongoing optimisation Required Experience • Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment, • Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn), • Experience deploying and supporting ML models in production, • Solid understanding of data pipelines, versioning, testing, and software engineering best practices, • Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have • Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases, • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.), • Docker and Kubernetes experience, • Exposure to model governance, explainability, or regulatory frameworks Contract Details • £650–£750 per day (Outside IR35), • Initial 6-month contract, with strong extension potential, • Immediate or short-notice start preferred

Hello! As new exciting roles come through my desk, I'm keen to get in touch with you, learn about your experience and know what you look for in your next opportunity. If you are a... • Data Engineer, • Data Architect, • Data Modeller, • Software Engineer, • DevOps Engineer, • Cloud/Platform/Infrastructure Engineer, • Engineering Manager/Head of/VP/CTO ...upload your CV with contact information, and answer the questions on the next page so you don't miss out on opportunities! Best, Joana ✨ Building Data and Software Engineering teams in the UK | The Talent Driving the Data and AI Revolution Harnham - Data & AI Recruitment

Location: Cheltenham, Gloucester Area INTRODUCTION We are looking to hire a skilled Software Developer to join our dynamic and innovative team. As a Software Developer, you will be responsible for designing, implementing, and maintaining high-performance, scalable software solutions using Python and related technologies. You will collaborate closely with cross-functional teams to develop and deploy robust web applications, leveraging your expertise in Flask, MongoDB, HTML, CSS, Bootstrap, JavaScript, RESTful services, Docker, AWS, Jenkins, and Git. RESPONSIBILITIES • Design, develop, and maintain Python-based web applications using the Flask framework., • Implement efficient data storage solutions using MongoDB., • Create responsive and visually appealing user interfaces using HTML, CSS, and Bootstrap., • Enhance user experience through dynamic client-side scripting with JavaScript., • Develop and integrate RESTful services to support seamless communication between frontend and backend systems., • Containerise applications using Docker for streamlined deployment and scalability., • Deploy and manage applications on AWS cloud infrastructure., • Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins., • Collaborate with cross-functional teams to understand requirements and translate them into technical solutions., • Ensure code quality, performance, and security through rigorous testing and code reviews., • Utilise version control systems, particularly Git, for managing the codebase and collaboration. EXPERIENCE / REQUIREMENTS • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent work experience)., • Proven experience (1.5 years) as a Python Developer, with a focus on web development., • Proficiency in the Flask framework and MongoDB database design and management., • Strong understanding of web technologies including HTML, CSS, Bootstrap, and JavaScript., • Experience building and consuming RESTful APIs., • Familiarity with containerisation technologies such as Docker., • Hands-on experience with cloud platforms, particularly AWS., • Knowledge of CI/CD tools such as Jenkins for automated deployments., • Solid understanding of version control systems, particularly Git., • Excellent problem-solving and analytical skills., • Strong communication and collaboration abilities. ADDITIONAL REQUIREMENTS • Occasional UK travel may be required to attend team or customer meetings, events, and training activities., • Flexible working arrangements are available; however, there is value placed on teams being co-located in offices. Applicants are encouraged to discuss what may be possible during the application stage.

Note - role reposted after re-evaluation of grade level. About Colt Data Centre Services Colt Data Centre Services (DCS) has over 20 years’ experience in designing, building and operating energy-efficient, reliable data centres – hosting significant financial, media, corporate and cloud wholesale providers across the world. Our customers are at the heart of everything we do. We endeavour to take a customer-led approach across our operations, striving to serve our customers with a seamless experience no matter what facility or region they are in. Finding the right solutions for our customers starts with finding the right people for Colt DCS. We believe in creating a healthy, learning environment for our employees to flourish. Our vision: to be the most customer-centric data centre provider. About the Role Reporting to the Senior Problem Manager and working remotely, you will be responsible for identifying, analysing, and supporting the resolution of issues predominantly related to data centre Mechanical and Electrical (M&E) equipment / services. Your purpose will be to minimise business impact and prevent future incidents across all of our sites in Europe, India and Japan. In practice, this means you'll use your knowledge of M&E equipment / systems / services in working closely with cross-functional teams to investigate root causes, implement corrective actions, and drive continuous improvement in DCS service delivery. This may also include working with or presenting to DCS customers and/or suppliers. In summary, you'll be managing the lifecycle of infrastructure Problem tickets across our DCS estate. This will include proactive work to analyse historic issue data, using that to deliver comprehensive recommendations to help mitigate these arising in future where possible. About you As you'll be investigating, analysing and reporting on a range of infrastructure related issues, you'll need a proven track record in managing incidents and problems associated with critical mechanical and electrical systems (for example, power distribution, cooling, UPS). It is therefore likely that your experience will include working in environments such as data centres or other large scale infrastructure, and be supported by facilities related qualifications (ie Uptime Institute or electrical / HVAC certifications). Within this, you'll have the ability to understand how to get to the root cause of infrastructure related problems, alongside analysis capability serving to identify trends and make data-driven recommendations. All of this will be underpinned by your strong communication skills and the ability to help technical and non-technical audiences understand issues and how best to resolve them. What we offer We offer skill development, learning pathways and accreditation to help our people perform at their best, regardless of role and location. In addition to offering competitive salaries and incentive plans, a range of benefits and local rewards packages are offered to staff. Colt DCS recognises the importance of a work-life balance. These are just some of the reasons why Colt DCS is recognised as Great Place to Work Certified UK. The Role in More Detail Key Responsibilities • Risk Identification/Problem Identification and Analysis o Investigate and analyse incidents to determine root causes (RCA) and patterns. o Proactively identify recurring issues through trend analysis, with a specific focus on building monitoring systems (BMS) data analysis. o Risk assessment of non-standard Changes. • Resolution and Mitigation: o Ensure timely resolution and closure of problem tickets. o Identify permanent solutions for recurring incidents. o Ensure timely escalation of critical issues and coordinate resolution efforts across teams. • Documentation and Reporting: o Maintain comprehensive documentation of problems, their resolutions, and preventive measures. o Prepare detailed RCA reports and graphs to support the technical explanation of a Problem o Keep documentation for problem management accurate and current. • Continuous Improvement: o Prepare presentations on Problem management metrics, trends, and improvements. o Proactively identify opportunities to enhance service reliability and efficiency. o Participate in problem management initiatives and projects to drive continuous improvement. o Deliver internal technical training in areas of expertise. • Collaboration and Communication: o Collaborate with stakeholders to gather information and perform thorough problem diagnostics. o Join and document problem review meetings, providing regular updates. o Actively participate in Monthly Executive Reviews and other key meetings, lead the meeting if required. o Work with cross-functional teams to implement corrective actions and drive improvement. o Support and oversee the onboarding process for new sites, representing Service Operations, with particular focus on ensuring documentation is available and accurate and “snags” are captured. Requirements • Hands-on knowledge of Mechanical & Electrical (M&E) systems and Data Centre infrastructure., • Proven experience in problem management or incident management within a complex DC environment., • Experience with monitoring systems and ability to analyse monitoring data to detect and pin point issues., • Strong analytical skills with the ability to analyse data, identify trends, and make data-driven decisions., • Excellent documentation and reporting in English., • Knowledge of IT and Networking concepts., • Knowledge and experience with at least one of common RCA methods (5-Whys, Fishbone Diagram, Fault Tree Analysis, Pareto Analysis), • ITIL certification or knowledge of ITIL framework practices. Note that for this role, there will be a need to travel to site locations when required, in addition to a small number of trips to our offices annually for face-to-face team meetings.

AI, Data & Defence Engineering and Data Science Roles Engineer to Managing Consultant, Defence, & Critical Infrastructure Nationwide Clearance, SC required, DV preferred, some roles sole UK nationals We’re supporting a leading UK technology and transformation consultancy delivering secure AI, data engineering, and advanced analytics across Defence, and critical government programmes. The work is production-grade, building systems that support real Defence capability. We’re hiring across Engineer, Senior Engineer, Consultant, Senior Consultant, and Managing Consultant levels. All roles remain hands-on, with leadership scope depending on experience. What you’ll do • Build and deploy secure data pipelines, platforms, and AI/ML solutions, • Productionise analytics and ML, including GenAI and agentic patterns where relevant, • Translate Defence requirements into robust technical designs with stakeholders, • Support MOD capability and acquisition work aligned to CADMID, • Implement secure architectures with cloud, platform, and security teams, • Apply DevOps and MLOps, CI/CD, monitoring, auditability, and governance, • Contribute to design reviews, estimates, documentation, and bid inputs What you’ll bring • Strong experience in data engineering, analytics engineering, or applied data science, • Cloud and data platform exposure, AWS, Azure, GCP, and/or Databricks, • Python, ideally PySpark, R helpful but not essential, • End-to-end pipelines, feature engineering, and production ML workflows, • Familiarity with LLMs, GenAI, or agent-based systems, • Defence or secure delivery experience, MOD, suppliers, consultancies, or regulated public sector, • Understanding of requirements artefacts such as URDs, SRDs, ITEAPs, RAMS, • Stakeholder skills, plus workstream or team leadership for senior levels Security clearance • SC required, • DV preferred and may be required for certain assignments

Applied AI Engineer Adema AI – Real Estate & Planning Intelligence 📍 London / Hybrid / Remote (UK & EU) About Adema AI Adema AI is one of the fastest-growing AI startups in the UK, with a rapidly expanding and active user base across development, planning, investment, and advisory. We are building a deep, AI-native intelligence platform for the built environment — combining LLMs, graph-based machine learning, spatial analytics, and planning data to power real-world decision-making. What you see live today is only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. 👉 Platform overview: The Role We’re hiring an Applied AI Engineer to help scale Adema’s intelligence layer as adoption accelerates. This is a core technical role. You’ll be working on production AI systems already in use, while helping design and deploy the next generation of models, pipelines, and services that will define the platform. You’ll work directly with the founding and AI leadership team and have real influence over architecture, tooling, and technical direction. What You’ll Be Working On • Production MLOps pipelines for training, evaluation, and deployment, • LLM-powered workflows for planning, site intelligence, and decision support, • Graph-based ML models linking spatial, regulatory, demographic, and market data, • A growing recommendation engine and inference services (separate ML services, not monoliths), • Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis, • Microservice APIs (FastAPI or similar) connecting data, ML inference, and product, • Cloud-native AI infrastructure across Azure / GCP / AWS, • Continuous refinement of existing tools and replacement of legacy approaches with AI-first systems This is not a research-only role — everything you build is designed to ship and scale. What We’re Looking For Core Requirements • Strong Python experience across data engineering and machine learning, • Experience deploying ML models into production environments, • Hands-on experience with LLMs / applied NLP, • Strong SQL skills and experience with structured & semi-structured data, • Experience with FastAPI, REST APIs, and microservices, • Cloud experience (Azure, GCP, or AWS), • Familiarity with CI/CD and modern DevOps workflows Highly Desirable • Graph data, network analysis, or GNNs, • Spatial / geospatial data experience, • Containerisation (Docker / Podman) Equity & Upside • Warrants are available for the right candidate, • This role offers real upside, aligned with platform growth and adoption, • Early impact, genuine ownership, and exposure to product, commercial, and strategic decisions Why Join Adema AI • One of the fastest-growing AI startups in the UK, • Rapidly expanding real-world user base — your work is used immediately, • Build serious AI infrastructure, not slideware or demos, • Direct access to founders and decision-makers, • Solve complex, meaningful problems at the intersection of AI, planning, and real estate, • High-autonomy, high-trust engineering culture Who This Is For You’ll thrive here if you: • Want to build AI systems that ship and scale, • Enjoy working across data, ML, and infrastructure, • Care about architectural quality and long-term leverage, • Want upside, responsibility, and pace — not corporate drag

Football Data Engineer We’re helping a leading football club grow their data team. Working directly for the club you will work alongside data science and performance experts and take ownership of all football data pipelines. Turning complex football data into reliable, analysis-ready assets for the team powering decisions across the club. Mainly focussing on the First Team but also having exposure with Reserve, Academy and Youth Teams. Power the game with data. From numbers to goals, driving decisions to create winning results! Essential Skills (Across the pitch): • Python programming skills., • Experience designing, building and maintaining cloud based data pipelines (ETL) for structured and unstructured data from APIs (both internal and external)., • Familiarity with databases, data warehouses and cloud platforms (SQL, Snowflake, AWS)., • An understanding of data quality, testing, monitoring and documentation best practices., • Exposure with football data (either professionally or through personal projects)., • A genuine passion for football (soccer) and a curiosity-driven mindset for how data flows through the modern game. Day-to-Day Duties (In the stadium): • Build, maintain and optimise scalable data pipelines ingesting football data from multiple internal and external sources., • Clean, transform and structure raw football data into impactful, value driven insight., • Ensure data reliability, accuracy and availability across performance, recruitment and analytics teams., • Work closely with data scientists, analysts and football stakeholders to support insight generation., • Contribute to internal platform improvements, tooling and architectural decisions., • Support research and innovation projects by enabling access to new datasets, metrics and data products. Benefits (Beyond the game): • An impact from day one., • Direct involvement with football and the chance to apply data engineering to the real-world football calendar., • Creative freedom to experiment and innovate., • Supportive, collaborative culture that encourages learning and growth., • A vibrant team culture with a shared passion for the sport., • Access to the latest tools and technologies., • Competitive salary, plus an endless list of benefits.

ACTIVE SC REQUIRED - Contract ends 31 March (extension optional) *** Permanent role available. Company Description Goaco is a global digital consultancy delivering secure, scalable solutions for government, enterprise and fast-growing tech companies. We specialise in software engineering, cyber security, digital identity, and cloud transformation. Our projects span across the UK, UAE and KSA with a proven record of delivery in complex regulated environments. We invest in our people and support flexible, high-performance work. Role Purpose The Data Architect provides senior technical leadership for the commission, operating within a security-cleared environment. The role is responsible for designing and assuring data architecture approaches that enable decision-ready outcomes while complying fully with security, classification and handling requirements. Key Responsibilities • Lead data architecture and design activities within an SC-cleared environment., • Assess data readiness, quality, ownership and interoperability for priority datasets in line with security and classification constraints., • Define secure architectural patterns for analytics, federation and controlled data access., • Ensure all proof-of-concept outputs comply with security, governance and assurance requirements., • Provide architectural assurance and guardrails to support transition from discovery to MVP delivery., • Document architecture decisions, risks and dependencies in a form suitable for secure handover. Skills and Experience • Extensive experience designing data architectures in secure government or defence environments., • Proven understanding of working with sensitive and classified data under strict handling controls., • Experience aligning data architecture with security, governance and assurance frameworks., • Strong stakeholder engagement skills, including supporting senior decision-makers in secure forums., • Ability to balance delivery pragmatism with security and compliance obligations. Clearance Requirement • Security Clearance (SC) required, • Role will operate in accordance with all applicable security, classification and information handling policies.

Vice President of Engineering Location: Remote (Ideally need to be based in the UK) Salary: £140,000–170,000 base + equity + benefits About the Company Join a Series A–funded digital asset risk-management platform backed by Microsoft, Coinbase, Samsung, Nyca, and Neotribe. With $22M raised and three years of financial runway, the company powers real-time risk monitoring, analytics, and intelligence insights for financial institutions, custodians, tokenized-asset issuers, and regulators. Their mission is to enable safe, compliant, scalable blockchain participation for institutions on a global scale. About the Role As VP of Engineering, you will lead and scale the engineering organization responsible for delivering the company’s core risk platform. You’ll define technical direction across architecture, data infrastructure, analytics systems, and compute pipelines, while integrating emerging intelligence-driven capabilities such as automated risk scoring, alerting, reporting, and anomaly detection. You’ll work cross-functionally with Product, Analytics, and Customer Success, operating as a technical and strategic leader shaping the next phase of platform evolution. Key Responsibilities Engineering Leadership & Execution • Lead engineering teams across backend, frontend, SRE, data platforms, and risk analytics., • Drive execution of the engineering roadmap, delivering secure, scalable enterprise software., • Define engineering processes that promote iteration, performance, and predictable delivery in a remote-first environment. Architecture & Platform Direction • Own end-to-end evolution of platform architecture: ingestion pipelines, scoring engines, real-time compute, APIs, and integrations., • Guide system design decisions that ensure resilience, scale, and extensibility amid growing regulatory and market complexity., • Lead technical direction for enterprise deployments, POCs, and customer integrations. Data Infrastructure & Analytics • Scale the data platform to support broader asset coverage, higher throughput, and more sophisticated analysis., • Develop advanced analytics capabilities including anomaly detection, cross-chain signals, and automated scoring models., • Ensure data accuracy, quality, and resiliency across pipelines and computation layers. Emerging AI & Automation Capabilities • Introduce new automation, reporting, and workflow intelligence features., • Integrate AI-powered classification, alerting, risk scoring, and customer-facing insights securely and transparently., • Ensure future enhancements remain enterprise-ready, explainable, and compliant. Cross-Functional Collaboration • Work with Product and Analytics to convert customer needs into technical execution plans., • Support Sales Engineering and BD by communicating technical capabilities and roadmap direction., • Serve as a technical leader in customer evaluations, deployments, and audits. Technical Skills & Required Expertise The role requires deep hands-on architectural and technical leadership across distributed systems, data platforms, and analytics tooling. Languages & Backend • Python, Go (Golang), TypeScript, • Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics • AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses), • Kafka, Kinesis, or other streaming/event platforms, • Experience building large-scale ingestion and normalisation pipelines, • Experience with analytics engines, scoring frameworks, and real-time compute Cloud & Infrastructure • AWS preferred (EKS, Lambda, S3, IAM, CloudWatch, ECS), • CI/CD tooling, infrastructure-as-code, observability, monitoring, deployment pipelines, • Experience operating highly available systems in production environments Security, Compliance & Enterprise • Secure systems design, identity/auth workflows, audit trails, • Enterprise-grade performance monitoring, SLAs, and reliability metrics Domain Expertise • Blockchain data platforms, node infrastructure, or crypto risk systems, • Analytics-heavy or automation-centric enterprise platforms What Sets This Role Apart • Lead engineering for a category-defining risk platform transforming blockchain compliance and safety., • Set foundational architecture powering global financial institutions and regulators., • Build and scale a world-class engineering org across multiple disciplines. Perks & Benefits • Competitive salary + meaningful equity, • Medical insurance (location dependent), • Fully remote + home office budget, • Supported attendance at blockchain conferences, • Opportunities to collaborate globally and shape emerging industry standards

Company Description Enchant Agency is a leading eCRM agency based in London, UK. We specialise in helping ambitious brands excel in email strategy, analytics, creativity and email technology. Dedicated to delivering impactful and effective campaigns, we work closely with clients to ensure their email marketing achieves meaningful results. Role We’re looking for an experienced HubSpot & Salesforce Marketing Consultant to support our B2B clients with lifecycle-driven marketing automation and eCRM operations. You’ll lead the build and optimisation of HubSpot campaigns and workflows, while also owning the ongoing maintenance and reliability of the HubSpot ⇆ Salesforce CRM integration. The ideal candidate will be based in the UK, Europe, or the US East Coast. This is a long-term support role; you must have experience in HubSpot and Salesforce CRM. NO AGENCIES. We are seeking to work with ONE single individual expert. Specific needs • Build, manage & optimise automations using HubSpot workflows & sequences, • Create segmented lists based on behaviour, demographics, lifecycle stage, and custom properties to support targeted email campaigns and automations, • Build dashboards and reports to track key performance metrics, • Oversee and maintain the HubSpot ⇆ Salesforce integration, including field mapping, data sync integrity, and troubleshooting, • Maintain data hygiene and property governance through effective field management, accurate data imports/exports, and standardisation protocols, • Implement dynamic content across emails, • Develop and maintain lead scoring models in HubSpot Start date January 2026

SC Cleared DevOps Engineer Level: Senior Consultant — £575 p.d Inside Location: UK-wide | Home based, London site visits as required Function: DevOps | Cloud Engineering | AWS Industry: Public Sector About the Role We are working with a leading advisory consulting firm on a high-profile public sector cloud transformation programme. They are seeking two SC Cleared DevOps Engineers to join the team, focusing on designing, implementing, and optimising end-to-end DevOps processes across AWS cloud environments. You will collaborate closely with development, QA, and operations teams to drive automation, scalability, and reliability, while mentoring junior engineers and shaping best practices. What You’ll Be Doing • Lead the design, deployment, and management of scalable AWS Cloud infrastructures., • Develop and implement advanced CI/CD pipelines supporting complex, large-scale solutions., • Collaborate with stakeholders, providing expert technical guidance and influencing architectural decisions., • Automate repetitive tasks, remediate technical debt, and drive continuous improvement initiatives., • Mentor and coach junior engineers, promoting a culture of knowledge sharing and best practice adoption., • Maintain operational excellence through monitoring, log analytics, and observability of cloud environments. Ideal Background • Minimum 8 years experience provisioning and managing AWS Cloud environments, particularly for large-scale, mission-critical systems., • Extensive hands-on experience with Java applications, Infrastructure as Code (Terraform, CloudFormation, CDK), containerisation (Docker, Kubernetes/EKS), and CI/CD tools (AWS CodePipeline, Jenkins, GitLab, GitHub Actions)., • Strong networking, Linux/Windows administration, and cloud security knowledge., • Proven leadership in managing high-pressure technical situations and guiding teams., • Exceptional communication and stakeholder management skills., • Must hold current SC Clearance. Desirable: AWS certifications, experience with configuration management tools (Ansible, Puppet, Chef), and understanding of Cloud Landing Zone best practices. What You’ll Receive • Competitive daily rate: £575 inside., • Initial contract of 5 months, with the potential for extension once SC clearance transfers., • Flexible, home-based working with London site visits as required., • Exposure to a high-profile public sector cloud transformation project through a top advisory consulting firm. Who Should Apply This role suits senior DevOps engineers with deep AWS expertise, strong automation and CI/CD experience, and the ability to operate at both strategic and hands-on levels. You will thrive in high-pressure, high-impact public sector environments, and enjoy mentoring others while shaping cloud operations at scale.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineering Lead, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 7+ years in software engineering, with at least 3+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Desirable Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline., • ISTQB AI Testing or equivalent certification. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

This role is the programme’s data-driven applications engineer - sitting between Oracle APEX development, analytics engineering, and data science enablement. It focuses on delivering reporting, dashboards, lightweight applications, and analytical PoCs on top of the client’s Oracle cloud estate (ADW, OAC, Fusion, OIC). Key Responsibilities • Develop, enhance and maintain secure APEX applications for analytics, reporting and workflow enablement within the Defence programme., • Build OAC dashboards, data visualisations, semantic models and automated reporting pipelines., • Support data science explorations (feature sets, model inputs, structured data prep) and collaborate with AI engineers delivering PoCs., • Work across ADW, Fusion data sources and integration layers (OIC) to curate clean, well-modelled datasets., • Contribute to data migration activities, ensuring accuracy, integrity and auditability throughout transitions from legacy systems., • Apply security-by-design, access controls and logging appropriate for regulated MOD environments., • Operate in Agile delivery squads with APEX devs, data engineers, integration specialists and business SMEs. Essential Skills • Strong Oracle APEX development capability (apps, forms, processes, security, performance tuning)., • Hands-on experience with Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling)., • Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures., • Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset., • Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads., • UK Citizen with SC (minimum). Desirable • OCI and OIC experience., • Exposure to ML/AI concepts and ability to support data preparation for AI workloads., • Defence/central-gov experience.

Seeking a highly skilled and motivated Full-stack Engineer to play an essential role in shaping how my client develops, scales, and delivers secure, user-focused technology. You will lead by example, combining hands-on coding with architectural expertise, and balancing speed with accuracy. This is more than a coding role; it’s an opportunity to securely integrate AI into their platform, take ownership of complex systems, mentor team members, and influence decisions that greatly affect their customers. • Own end-to-end technical delivery for features and architectural improvements, • Build performant and accessible UIs using Vue.js and TypeScript, • Design and evolve backend services in C#/.NET 6–8 using secure coding practices, • Write and maintain automated unit, integration, and end-to-end tests, • Support our CI/CD pipelines and deployment readiness, • Lead code reviews and mentor team members in best practices, • Translate product requirements into clear, pragmatic implementation steps, • Proactively suggest and drive improvements across tooling, performance, and UX About you: • Makes autonomous decisions with transparency, clear communication, and thoughtful trade-offs., • Mentors and supports teammates with empathy and clarity, helping to unblock progress., • Balances technical expertise with a strong focus on delivering value to customers., • Proactively improves systems by refactoring and scaling intelligently, beyond just adding features., • Keeps projects on schedule, identifies potential risks early, and ensures follow-through without reminders., • Established career in software development, including full ownership of production systems., • Confident in using AI tools to enhance development efficiency and experienced in integrating AI features like large language models (LLMs), semantic search, and recommendation engines into applications., • Deep expertise in .NET and C#, including .NET Core and latest versions like .NET 6/7/8., • Strong frontend development skills with Vue.js, TypeScript, JavaScript, and modern CSS/SCSS., • Proven experience building and maintaining test automation and CI/CD pipelines., • Skilled in working with SQL Server and designing APIs, including REST and GraphQL., • Knowledgeable about cloud platforms such as Azure, AWS, and microservices architecture., • Familiar with secure development practices and OWASP standards., • An effective, respectful communicator across technical and non-technical audiences., • Experience working with legacy codebases (e.g., VB.NET) and modernizing them gradually., • Knowledge of MicroFrontend architecture and ways to optimize performance., • Experience developing or integrating AI/ML-powered features like content generation, summarization, or intelligent analytics., • Familiarity with prompt engineering and fine-tuning large language models (LLMs) is a plus. This is a UK-based, full-time, remote work opportunity. Enjoy a range of excellent benefits, starting with 25 days of paid time off each year plus statutory bank holidays, with days increasing up to 30 days. A generous pension plan with up to 10% matched contributions, along with comprehensive private healthcare through AVIVA to support your health and wellbeing, and sick leave pay.

Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid experiments, to scaling successful solutions across multiple Higher Education Institutions. What you’ll do: Set vision and strategy • Own and continually refine the AI initiatives portfolio and roadmap for the group., • Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance., • Run time-boxed PoCs (2–8 weeks) and MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives., • Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services., • Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop for critical decisions such as admissions triage or student risk flagging., • Take validated MVPs into production with robust architecture, integration patterns, security controls, SLAs, and operational runbooks., • Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies., • Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as:, • Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support., • Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention., • Timetabling & Operations: demand forecasting, optimization support, and conflict detection., • Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity., • Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding., • Research Administration: grant discovery, compliance support, and metadata enrichment., • Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation, and audit trails., • Ensure compliance with GDPR, accessibility standards (e.g., WCAG), information security policies, and emerging AI regulations., • Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders to align on priorities and rollout plans., • Communicate progress through clear dashboards and storytelling, highlighting wins and lessons learned to build momentum., • Lead RFPs and SOWs for AI vendors, data providers, and implementation partners, including evaluation of cost, performance, and scalability., • Track and optimize cloud and AI platform spend, balancing cost with value; negotiate campus-wide licensing where beneficial. What you bring: Education • Bachelor’s or Master’s degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Essential • Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing to stop or pivot when evidence is weak., • Delivery excellence: strong Agile practices, risk-based planning, and disciplined stage-gates from idea to production., • Technical fluency: able to bridge data science, engineering, security, and business stakeholders, and make informed technical decisions., • Responsible AI and data literacy: understands and embeds ethics, privacy, and accessibility by design., • Experience with major cloud and AI stacks such as Azure OpenAI / OpenAI, Azure ML, Databricks, Kubernetes, and Docker., • Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus)., • Exposure to MLOps and observability tools (e.g., MLflow/model registry, GitHub Actions, Prometheus/Grafana, Evidently AI)., • Knowledge of integrating with SIS (Banner/Workday Student), LMS (Moodle/Canvas), CRM (Salesforce), ERP (Oracle/Workday), and IdP (Azure AD)., • Comfort with collaboration and reporting tools such as Jira/Azure Boards, Confluence, and Power BI. Experience Essential • 6+ years in IT delivery, product, or program leadership roles, including at least 3 years leading AI/ML or advanced analytics initiatives end-to-end., • Proven track record running Agile PoCs and MVPs and scaling them into production within complex organizations., • Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices., • Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices., • Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments., • Knowledge of data privacy, accessibility, security, and Responsible AI in academic or similarly regulated contexts., • Experience designing or operating an AI platform or shared AI services used across multiple domains or business units., • Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI., • Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL)., • Relevant certifications such as Agile/Scrum (PSM/CSM), Azure AI Engineer/DP-100, PMI-ACP/SAFe, or security/privacy certifications. If you are excited by the opportunity to shape the future of AI in higher education and deliver impact at scale, we encourage you to apply and join us on this journey.

Title: Co-Founder / Fractional Chief Technology Officer Location: Remote (UK / EU only) Salary: Equity only (to start) - with vesting period Platform: AI-Native Talent Intelligence Platform Stage: Early product (working demo MVP) with live AWS infrastructure and AI workflows in place The Role We are recruiting for our sister business 'hdhnt', this is an AI-native Talent Acquisition platform designed around deep candidate analysis, structured evaluation, and intelligent matching. Our mission is to build a tool which allows hiring companies to successfully source candidates directly, and alleviate the need for external recruitment agencies. The technical foundations already exist: cloud infrastructure, LLM pipelines, scoring logic, and multi-tenant architecture, these have been built through use of contractors to date. We are looking for a hands-on Technical Co-Founder / CTO to take full ownership of the platform’s technical direction, architecture, and execution as we scale from early product to category-defining system. Core Responsibilities • Own the end-to-end technical architecture across backend, AI systems, data, and infrastructure, • Lead development of AI-driven scoring, ranking, and decision systems, • Design and evolve advanced search and retrieval systems beyond keyword matching, • Build and scale API-first, multi-tenant backend services, • Lead development of video, voice, and interview analysis tooling within the platform, • Drive the transition from third-party LLM usage toward custom and fine-tuned models, • Ensure platform security, data protection, and GDPR-aligned system design, • Establish engineering standards, CI/CD workflows, and operational best practices, • Act as technical counterpart to product, commercial, and investor conversations, • Manage technical / dev responsibility for any contractor arrangements in place. Technical Requirements Backend & APIs • Strong experience designing REST and/or GraphQL APIs for production SaaS platforms, • Advanced proficiency in Python (FastAPI) and/or Node.js (TypeScript / NestJS), • Deep understanding of multi-tenant system design, permissions, and role-based workflows, • Event-driven architectures using webhooks, queues, and async processing AI, Search & Data Systems • Hands-on experience integrating LLM APIs (OpenAI-compatible or equivalent), • Design and implementation of scoring, ranking, and weighted evaluation systems, • Experience with vector search, embeddings, and semantic retrieval, • Practical use of RAG architectures, prompt pipelines, and structured outputs, • Strong understanding of model evaluation, explainability, and output validation Model Development • Experience with fine-tuning or training models (open-source or proprietary), • Understanding of model lifecycle management, data pipelines, and inference optimisation, • Familiarity with moving from API-based LLMs to self-hosted or private models Video, Voice & Media Processing • Experience working with video, audio, or real-time communication systems, • Familiarity with speech-to-text, audio processing, or conversational AI pipelines, • Comfort designing systems that support AI analysis of recorded interactions Cloud & Infrastructure • Strong experience with AWS-based SaaS platforms, including:, • ECS Fargate, • Application Load Balancers, • IAM, KMS, Secrets Manager, • CloudWatch logging and alerting, • Infrastructure-as-Code using Terraform, • Secure, scalable deployment and environment management, • CI/CD pipelines, automated testing, and release workflows Experience & Profile • Senior-level engineer or technical founder with end-to-end ownership experience, • Proven track record building or scaling production SaaS platforms, • Comfortable operating across architecture, hands-on coding, and strategic decisions, • Strong product intuition with an ability to translate abstract requirements into systems, • Experience working in early-stage or high-ownership environments, • Clear communicator capable of partnering closely with a non-technical founder Nice to Have • Prior experience as a founder, early CTO, or lead architect, • Background in search, recommendation systems, or decision engines, • Experience with regulated or sensitive data environments, • Familiarity with recruitment, HR tech, or workflow-driven SaaS platforms, • Experience building internal admin tools and operational dashboards There will be a multi-stage interview process including theoretical case study and technical assessment. If you would like to find out more, please apply below. We encourage candidates from all backgrounds to apply, regardless of; race, gender identity, sexual orientation, religious beliefs, age or other experiences.

About the Role We're looking for a Principal Software Engineer to lead the migration and modernisation of a complex legacy application into a modern, scalable architecture. This is a hands-on technical role where you'll shape the design, guide the team, and ensure successful delivery of a critical transformation project. Key Responsibilities • Drive the migration of legacy systems to modern, cloud-base...

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We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world.Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with