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Affinity Labs: Founding Engineer (Backend) Location: London Area, United Kingdom · On-site Company Description At Affinity Labs, we’re building the future of company creation, a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetisation by to rapidly build, launch, and scale digital ventures aligned with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Why Affinity Labs: Ship at rapid pace with AI-accelerated workflows, see your work distributed to thousands of users at launch, and compound impact across multiple product, not just one. Role Description You’ll lead end-to-end backend development across our products: scoping services, designing data models and APIs, building, testing, shipping, and iterating in tight cycles. This is an early-stage, hands-on role with significant autonomy and responsibility to drive backend product development, collaborating closely with founders, creators, and product/design to turn lean specs into reliable, scalable services. Responsibilities • Implement features end-to-end on the backend (APIs → data models → integrations) and maintain quality while moving fast., • Run tight build, test, iterate, ship loops; provide realistic estimates and surface blockers early., • Manage tech debt pragmatically; record key decisions as lightweight ADRs/notes in the tooling., • Participate in daily standups and weekly planning, contribute to technical strategy & execute from Linear tickets., • Contribute to architecture and product discussions; be heard in debate, align to unified decisions., • Own operability: set up and maintain CI/CD, monitoring/alerting, performance & error budgets, and safe rollback paths., • Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements • 3-6+ years building production backends/services, with shipped work and clear ownership., • Strong Python (FastAPI) and database skills (PostgreSQL/MongoDB); solid API design fundamentals., • Familiarity with AWS serverless patterns and Docker for bespoke services; basic CI/CD concepts., • Comfortable with Redis (caching/sessions) and common queue/messaging patterns., • Startup mindset: high ownership, pace, ambiguity; willing to burn the midnight oil when needed., • Growth mindset & flexibility: open to feedback; not rigid about stack/tools., • Clear communicator & collaborator; lean on your experience to guide product decisions., • Evidence of shipping quickly in small teams (links to repos, case studies, or live services). Desired • Node.js alongside Python for services or integrations., • Experience with vector databases (e.g., Chroma) and embedding pipelines., • LangChain or CrewAI for orchestration; MCP servers for integrations., • Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics., • Planning & execution in Linear (or similar). Tools & Stack • Backend/Runtime: Python (FastAPI), Node.js., • Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions)., • Vectors/Embeddings: Chroma (or similar)., • AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio)., • AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot / Claude Code., • Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs)., • Frontend (when needed): React/Next.js (for dashboards/admins, used selectively). Competencies & Behaviours • Communicates clearly with technical and non-technical teammates., • Takes ownership from concept to deploy and through maintenance., • Balances technical excellence with pragmatic delivery to meet business needs., • Adapts quickly to changing requirements and emerging tech; applies AI learnings., • Sets clear goals, tracks progress, and hits commitments; collaborates across disciplines. Why this role is a career launchpad • Own the code & the company. You step in as a Founding Engineer with a meaningful equity stake from day one., • Ship faster with AI at your side. Our workflow bakes in AI so you spend your time solving real problems—not boilerplate., • Ride a rocket. Our wider vision is big and the bar is high; we need driven people who can help us achieve an ambitious roadmap., • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3–4 years in a typical startup. There’s a lot of work, it’s high intensity, and the expectation is to ship extremely quickly., • Learn from builders, not bosses. Work shoulder-to-shoulder with a team that has scaled VC-backed startups, closed multi-million-pound term sheets, and collaborated with 1,000+ creators across formats and categories.

Founding Engineer – Full-Stack / AI / Early-Stage Startup Location: London (Hybrid 3 days onsite) Employment Type: Permanent Salary: Competitive (DOE) A fast-growing early-stage technology startup is building AI-driven products that power data-heavy workflows across digital platforms. The team operates with high ownership, fast iteration cycles, and a strong engineering culture focused on shipping meaningful features into production. They are now hiring a Founding Engineer to take end-to-end ownership of features across the full stack, contribute to AI-powered workflows, and help shape the technical architecture as the platform scales. This role suits someone who enjoys autonomy, moving quickly, and working across product, engineering, and experimentation in a startup environment. The Role You’ll design and implement production-grade features from initial concepts and designs through to deployment. Working across backend and frontend systems, you’ll help build intelligent workflows using modern AI tooling, contribute to cloud infrastructure and CI/CD pipelines, and experiment with emerging technologies in data engineering and machine learning. You’ll have meaningful influence over architecture, tooling, and product direction while operating in a highly collaborative, early-stage team. What You’ll Be Doing Product Architecture and Delivery • Translate project briefs and product designs into technical architecture and implementation plans., • Own features end-to-end across backend and frontend through to production release., • Contribute to system design decisions as the platform scales. AI and Intelligent Workflows • Build AI-driven features including agent-based workflows and embedding-driven matching systems., • Experiment with LLM-powered tools and apply them to real production use cases., • Design and optimise vector search and embedding pipelines to power semantic search, recommendation, and Retrieval-Augmented Generation (RAG) systems., • Architect and implement agentic AI systems capable of planning, reasoning, tool use, and autonomous task execution., • Explore new approaches in automation, search, and data enrichment. Deployment and Engineering Excellence • Improve and maintain CI/CD pipelines to enable fast, reliable releases., • Contribute to cloud deployments and operational stability., • Promote engineering best practices across testing, monitoring, and code quality. Experimentation and Innovation • Run technical experiments in data engineering, infrastructure, and AI., • Prototype and validate new technologies before moving them into production., • Continuously improve developer experience and delivery velocity. Ownership and Collaboration • Operate across the full technical stack in a high-autonomy environment., • Collaborate closely with product and business stakeholders., • Take responsibility for delivery quality and system performance. Core Experience • 2–3 years of hands-on engineering experience or equivalent project-based experience demonstrating ownership and impact., • Strong commercial experience with TypeScript and Node.js., • Experience delivering production features across backend and frontend systems. Mindset and Attributes • Comfortable operating in ambiguous, fast-moving environments., • Highly organised, proactive, and delivery focused., • Strong problem-solving skills and appetite for learning., • Excited about applying AI and LLM-powered tools to real-world workflows., • Thrives with autonomy and responsibility. Bonus Experience • Exposure to AWS serverless or event-driven architectures., • Mobile development experience (e.g., Flutter). Benefits • Flexible hybrid working model, • Generous Equity, • High ownership and autonomy, • Opportunity to influence architecture and product direction, • Fast learning environment with exposure to AI and modern cloud tooling, • Competitive compensation and early-stage growth opportunity Interview Process • Short introductory call, • In-person technical challenge and interview, • Culture and values interview

We're building the infrastructure that makes autonomous AI safe for enterprise deployment. Not governance theatre. Not compliance checkboxes. Actual technical systems that can monitor, quantify, and govern AI agents operating with autonomy in production environments. If you've been following the trajectory from static models to agentic systems—and the corresponding explosion in risk surface area—you know why this matters now. About governr governr is the AI risk platform for regulated enterprises. We provide complete AI visibility, real-time risk eval and quantification, and audit-ready compliance docs for enterprises deploying agentic AI. We've built the industry's most comprehensive AI risk assessment framework: We're currently in active discussions with tier-1 financial institutions and have secured design partners with leading firms navigating the shift from analytical AI to agentic systems. The market timing is critical: enterprises are deploying agents at scale, regulators are demanding governance frameworks, and existing Third-Party Risk Management (TPRM) platforms have near-zero AI-risk depth. We have an estimated 18-24 month competitive window before large incumbents build comparable capabilities to stay relevant. The Role As an Agentic Developer at governr, you'll build the core systems that monitor, analyse, and govern autonomous AI agents in production. This isn't traditional software engineering with well-worn patterns. You're designing architectures for problems that didn't exist 18 months ago. You'll be responsible for: • Agent Monitoring Infrastructure: Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters, • Risk Assessment Engine: Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems, • Protocol Integration: Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications, • Anomaly Detection: Develop ML systems that identify when agents exhibit unexpected strategies, attempt unauthorized actions, or drift from intended behaviour—catching issues before regulators do, • Evidence Generation Systems: Build architectures that automatically capture audit trails, decision provenance, and compliance evidence without impacting agent performance Core Requirements (Non-negotiable) Technical Depth: • 3 - 12+ years building production systems at scale • Expert-level proficiency in Python, Rust, or Go (you write systems that can't fail) • Deep understanding of distributed systems, real-time data processing, and observability architectures • Production ML/AI experience: You've deployed models, debugged their failures, and built monitoring around them • System design mastery: You can architect for reliability, scalability, and auditability simultaneously Domain Knowledge: • Understanding of agent architectures: autonomous decision-making, goal-directed behaviour, tool use, memory systems • Familiarity with AI safety concepts: alignment, interpretability, robustness, adversarial examples • Experience with monitoring/observability: instrumentation, logging, tracing, alerting in complex systems Working Style: • You ship to production regularly and own what you deploy • You write documentation that others can actually use • You thrive in ambiguity and define requirements through first principles • You communicate technical concepts clearly to non-technical stakeholders Highly Valued (Differentiated Candidates) • Publications or research in multi-agent systems, reinforcement learning, AI safety, or agent architectures • Experience at AI labs (Anthropic, OpenAI, DeepMind) or leading AI research groups, • Production experience with agents: LangChain, AutoGPT, CrewAI, or custom agent frameworks • Regulated industry background: Financial services, healthcare, or other domains with compliance requirements, • Security/threat modelling expertise: Understanding of adversarial AI, prompt injection, or system security • Real-time systems experience: Trading systems, fraud detection, or other low-latency critical infrastructure, • Open source contributions in relevant domains (AI frameworks, monitoring tools, security infrastructure) Bonus Points (Nice to Have) • Understanding of regulatory frameworks (EU AI Act, California AI, GDPR, DORA, FCA, OCC, FINRA guidance), • Experience with compliance/audit systems or GRC platforms, • Background in formal verification or theorem proving, • DevSecOps or infrastructure-as-code expertise, • Track record of technical leadership or architecture ownership Who Thrives Here You read AI safety papers for fun. You've built production systems where failure has real consequences. You're excited by the idea of being the first person to solve a category of problems that didn't exist last year. You care about getting it right, not just getting it done. When someone asks "can we monitor that?" your first instinct is to figure out how, not to explain why it's hard. You're comfortable with the early-stage start-up reality: fewer guardrails, more ownership, rapid iteration, and direct impact on company trajectory. You want to define the product, not just implement specifications. You're intellectually curious about the intersection of AI capabilities and regulatory constraints. You find it genuinely interesting that the EU AI Act requires "human oversight" but doesn't define what that means for autonomous agents. You're mission-aligned: You believe AI agents will transform how organizations operate, but only if we solve the governance problem. You want to be the person who solves it. Why Now / Why governr Market Timing: Autonomous AI is moving from research to production. McKinsey estimates $2.6T-$4.4T annual value from agentic AI. 80% of organizations report risky agent behaviours. Regulators are demanding guardrail frameworks. The infrastructure layer doesn't exist yet. We're building it. Technical Challenge: You'll solve problems that have no Stack Overflow answers. Agent-to-agent security. Cascade failure prevention across multi-agent systems. Emergent capability detection. Financial quantification of non-deterministic systems. This is legitimately hard, novel work. Category Leadership: We have 18-24 months before large incumbents build comparable depth. First-mover advantage in category creation is real. You'll help define what "AI governance" means. Team Quality: Co-founders with deep financial services + AI expertise. Advisors including Dr. Ayman Hindy, Marcel Cassard, and leading figures in AI, high frequency risk management and financial regulation. Early team of sharp, mission-driven builders. Learning Curve: You'll gain expertise in cutting-edge AI architectures, enterprise software, regulatory frameworks, and category creation simultaneously. This is one of those roles you look back on as career-defining. Impact Leverage: Every system you build enables safe AI adoption for enterprises managing billions in assets. Your code directly influences whether organizations can deploy autonomous agents responsibly. What We Offer Compensation: very competitive salary + equity in a fast-growing company with clear path to Series A Team: Reporting to Co-Founder Chief Product Officer, working directly with founders on product direction Work Environment: London, New York - focus on outcomes over presence Growth: Ownership of major product areas from day one. Technical leadership opportunities as team scales. Direct exposure to customers, investors, and strategic decisions. Resources: Modern tech stack, freedom to choose tools, Mission: Build the infrastructure that makes autonomous AI safe for society. Not many teams can say their technical work has direct regulatory impact. How to Apply If you're excited about building unprecedented monitoring systems for autonomous agents, working at the intersection of AI safety and enterprise software, and defining an emerging category—let's talk. Send your resume, GitHub/portfolio, and a brief note on what excites you about this problem space to and . Include: • Links to relevant work (code, papers, projects, or systems you've built) • What you're currently reading/learning in the AI agent space • One technical challenge you'd be excited to solve at governr We review applications on a rolling basis and move quickly for strong candidates. First round is a technical conversation with the Co-Founder, not whiteboard hazing. We're evaluating you as much as you're evaluating us. Come with questions about our technical approach, roadmap, or market positioning. The best conversations are mutual discovery. governr is an equal opportunity employer. We believe diverse teams build better products and welcome applications from candidates of all backgrounds. Ready to build the governance layer for autonomous AI? We're ready for you.

Full-Stack Engineer (AI Focused) | Technology, Information and Internet | London | Up to £200,000 + Equity I’m working with a fast-scaling AI company backed by top-tier investors and already working with some of the most recognisable organisations in the world. They’re building an AI-native workspace that’s changing how enterprises operate, with live deployments already proving real impact. They’re now looking for two experienced Full-Stack Engineers to join their London team. This is a chance to work directly with a proven founding team (multiple successful exits) and play a key role in building production-ready AI systems used globally. The Role You’ll be hands-on across the stack frontend, backend, infrastructure, and AI systems. You’ll help design and ship AI-powered features at scale, from multi-agent frameworks to retrieval pipelines and model fine-tuning. If you’re looking for an opportunity where you’ll have ownership, impact, and exposure to cutting-edge AI, this is it. What They’re Looking For • 5+ years of software engineering experience, • Strong experience with React + Next.js, • Solid backend development (Python preferred), • Experience with databases, Redis, and background workers, • Strong knowledge of cloud infrastructure, containers, and CI/CD, • Hands-on experience building AI products in production (RAG, orchestration, fine-tuning, evals a plus), • Salaries approx £100k - £150k + meaningful equity, • Work directly with a world-class founding team, • Opportunity to shape the platform as they expand globally, • High-energy, ambitious, and collaborative culture

Primary Location: London · Canary Wharf HQ (on-site) Plexe is building AI agents that turn simple plain-English prompts into full production ML applications, including data pipelines, models, and more. We're backed by Y Combinator (X25) and were named one of our batch's "Top-10 AI agent startups" by Business Insider. We're looking for a top tier graduate or early-career professional with excellent engineering aptitude, a deep ability to think in terms of data and systems, as well as a positive "can do" attitude. You'll work directly with Plexe customers to deploy and operationalise the Plexe platform, enabling our customers to succeed and get the most value from our product offering. Your forward deployment will give you a deeper understanding of our customers' needs and enable you to contribute meaningfully to the core product, including engineering multi-agent system, ML model serving, and more. You'll significantly boost your career prospects by working with a team extremely skilled engineers and taking full ownership of entire streams of work. Responsibilities • Forward Deployment: work with Plexe customers to understand their needs, analyse their data, architect ML systems, and deploy our platform - eventually owning entire customer engagements and related product features., • Product Development: leverage your forward deployment experience to improve the Plexe platform, including distributed ML infra, multi-agent systems, observability, client-facing APIs, and more., • Cross-Functional Collaboration: work closely with founders to translate business vision and customer feedback into actionable engineering plans., • Ownership: take full engagement ownership from kick-off to customer success. Your ideas have the power to shape business directions. Qualifications We don't have strict "formal" requirements - we just want to see you're awesome and up for the challenge! This is an early career role, so academic/university experience is welcome, although having at least some professional experience is a clear advantage. Must-Have: • 0-2 yrs building ML/AI systems that served real users., • Strong Python; exposure to AWS, Docker, Terraform/CDK, etc., • Experience with basic web computing constructs: APIs, authentication, etc., • Solid grounding in ML algorithms, MLOps, and data science., • Ability to work with customers/stakeholders to help them achieve their goals., • Willingness and ability to travel to customer offices globally (max 50% time normally, but may occasionally exceed 50% if required). Nice-to-Have: • Built agentic workflows / LLM tool-use., • Experience with MLFlow, Arize, LangFuse, or other MLOps tools., • Experience with deploying ML models on SageMaker, KServe, or similar. Why Plexe? • Hard problems: we're automating the entire ML/AI lifecycle from data engineering to insights., • High ownership: first 5 engineers write the culture as well as the code. You have the power to fix whatever issue you can point at., • Exciting environment: work at a fast-paced YC-backed startup with one foot in Silicon Valley., • Location and compensation: sweet office in central Canary Wharf; equity that can matter. Compensation £50,000 - £65,000 base salary, 0.10% - 0.30% equity, eligibility for further bonuses based on company and/or individual performance.

AI Prompt Engineering Consultant, Technically Sharp & Systems-Minded Deesign and optimize prompts, architect LLM-powered systems and deploy scalable GenAI workflows that connect people and intelligent systems in new, high-impact ways. THE ROLE Prompting & Reasoning Systems • Design, test and optimize prompts for leading frontier models (GPT-4/5, Claude 3.x, Gemini 2.x, Mistral Large, LLaMA 3, Cohere Command R+, DeepSeek)., • Apply advanced prompting strategies:, • Chain-of-Thought, ReAct, Tree-of-Thoughts, Graph-of-Thoughts, Program-of-Thoughts, self-reflection loops, debate prompting and multi-agent orchestration (AutoGen/CrewAI)., • Build agentic workflows with tool calling, memory systems, retrieval pipelines and structured reasoning. GenAI Application Engineering • Integrate LLMs into applications using LangChain, LlamaIndex, Haystack, AutoGen and OpenAI s Assistant API patterns., • Build high-performance RAG pipelines using:, • hybrid search, reranking, embedding optimization, chunking strategies and evaluation harnesses., • Develop APIs, microservices and serverless workflows for scalable deployment. ML/LLM Engineering • Work with AI+ML pipelines through Azure ML, AWS SageMaker, Vertex AI, Databricks, or Modal/Fly.io for lightweight LLM deployment., • Utilize vector databases (Pinecone, Weaviate, Milvus, ChromaDB, pgVector) and embedding stores., • Use AI-powered dev tools (GitHub Copilot, Cursor, Codeium, Aider, Windsurf) to accelerate iteration., • Implement LLMOps/PromptOps using:, • Weights & Biases, MLflow, LangSmith, LangFuse, PromptLayer, Humanloop, Helicone, Arize Phoenix, • Benchmark and evaluate LLM systems using Ragas, DeepEval and structured evaluation suites. Deployment & Infrastructure • Containerize and deploy workloads with Docker, Kubernetes, KNative and managed inference endpoints., • Optimize model performance with quantization, distillation, caching, batching and routing strategies. EXPERIENCE • Strong Python skills, with experience using Transformers, LangChain, LlamaIndex and the broader GenAI ecosystem and prompt engineering experience., • Deep understanding of LLM behavior, prompt optimization, embeddings, retrieval and data preparation workflows., • Experience with vector DBs (FAISS, Pinecone, Milvus, Weaviate, ChromaDB)., • Hands-on knowledge of Linux, Bash/Powershell, containers and cloud environments., • Strong communication skills, creativity and a systems-thinking mindset., • Curiosity, adaptability and a drive to stay ahead of rapid advancements in GenAI. BENEFICIAL • Experience with PromptOps & LLM Observability tools (PromptLayer, LangFuse, Humanloop, Helicone, LangSmith)., • Understanding of Responsible AI, model safety, bias mitigation, evaluation frameworks and governance., • Background in Computer Science, AI/ML, Engineering, or related fields., • Experience deploying or fine-tuning open-source LLMs. TECH STACK LLMs: GPT-4/5, Claude 3.x, Gemini 2.x, Mistral Large, LLaMA 3, Cohere Command R+, DeepSeek Frameworks: LangChain, LlamaIndex, Haystack, AutoGen, CrewAI Tools: GitHub Copilot, Cursor, LangSmith, LangFuse, Weights & Biases, MLflow, Humanloop Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks, Modal Infra: Python, Docker, Kubernetes, SQL/NoSQL, PyTorch, FastAPI, Redis Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.

Company Description Broadgate, part of the Ortecha Group, specializes in helping organizations drive technological transformation to foster growth and enhance operational efficiency. Our work is guided by principles aimed at lowering costs, optimizing performance, and increasing profitability. We offer a variety of services, including Strategy Advice, Operating Model, Cyber Security, Sourcing and Contract Management, and Change Management. By leveraging experienced professionals, advanced technology, and streamlined processes, we deliver tailored solutions to address client challenges and manage technology needs effectively. Broadgate is committed to delivering value and sustainable success for all its clients. Role Description We are hiring for AI engineers with to help our clients build and configure Copilot Studio agents using low-code/no-code tools. This is a contract hybrid role based in the London Area, United Kingdom, with the flexibility to work from home on certain days. The role will act as a bridge between business needs and AI capabilities, ensuring agents are aligned with organizational goals while driving adoption of Copilot Studio through intuitive, reliable, and secure AI solutions Qualifications • Proficiency in Computer Science and Software Development, • Strong skills and training in Copilot Studio or similar AI platforms to build high performing AI agents, • Strong ability to translate business processes into structured AI workflows, • Basic knowledge of APIs and data integration, • Analytical mindset for evaluating agent performance and user feedback, • Exposure to AI governance, risk management, and compliance frameworks., • Excellent problem-solving and analytical skills, • Ability to work effectively in a hybrid team environment, • Educational background in Computer Science, Artificial Intelligence, or a related field, • Familiarity with advanced tools and frameworks used in AI and machine learning is an advantage

About Wilgot Wilgot is building the category-defining Agentic Product Optimization (APO) platform for e-commerce. We are addressing the "adapt-or-die" reality that brands face as search shifts from keyword-matching to AI-driven discovery in interfaces like ChatGPT and Google AI Mode. Recognized by Dawn Capital as one of the top AI startups redefining e-commerce, our platform automates the repositioning of product catalogs for global, recognized brands, ensuring every product finds its buyer through intelligent content. What we do Wilgot provides the intelligence layer that transforms "thin" metadata into Intelligent Content optimized for the era of Agentic Commerce. Our Core AI Loop: • Discover: Leverage AI and data analysis (customer queries, first-party data, Google, ChatGPT, Perplexity) across 100+ markets to identify hidden demand, language attributes, and purchase signals. This phase focuses on turning raw data into clear, actionable content strategy., • Generate: Build and deploy systems that create high-quality, structured, and intent-aligned product content (titles, descriptions, attributes, FAQs) natively in 100+ languages. The goal is to optimize content for both user conversion and interpretation/recommendation by AI search systems., • Iterate: Design and manage a continuous feedback and optimization system. Monitor product performance across major search platforms, then programmatically regenerate and improve content based on visibility, engagement, and conversion data to maintain optimal relevance and discoverability. The Role Having validated our proprietary AI engine, we are now scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities • Scale Agentic Architectures: Advance existing workflows into multi-agent systems capable of autonomous reasoning, state management, and self-correction., • Model Development & Fine-Tuning: Lead the full lifecycle, from designing training strategies and curating high-quality datasets to executing model fine-tuning., • Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data., • System Observability & Reliability: Implement evaluation frameworks to monitor model performance, hallucination rates, and direct business impact., • Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup. Requirements • Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know how to use AI to generate features that drive performance, moving beyond basic metadata into deep semantic understanding., • Agentic Systems: Proven experience with agentic frameworks (e.g., LangGraph, PydanticAI) and managing memory and tool-calling in production., • Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks., • Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics. Why Join Wilgot? • Practical AI at Scale: Solve real-world, high-scale AI problems for global brands., • High Impact Team: Join a small, lean, high-growth team. You'll have significant influence on the technical stack and trajectory with no bureaucracy. You aren't joining a machine, you are part of building it., • Flexible Remote-First: Work remotely with autonomy, prioritizing deep work. Or from one of our hubs in Stockholm or London. We promote in-person collaboration with regular full-team offsites., • Generous Ownership: Receive a generous equity package, ensuring true ownership and a significant stake in the company's value as we scale globally., • Your choice of equipment: We provide a top-tier tech budget for your preferred hardware and home-office setup, ensuring you have the best tools for the job.

Frontend / Fullstack Engineer We are partnered with a rapidly scaling AI & analytics organisation recognised internationally for innovation, growth, and technical excellence. With multiple industry awards and a global footprint across Europe, the US, the Middle East and Africa, they build cutting-edge platforms that help major enterprises understand customer behaviour at massive scale. Operating at the intersection of AI, behavioural analytics, and enterprise data, this company supports clients that collectively manage tens of millions of customers and process billions of interactions daily. Their technology enables organisations to build more meaningful, sustainable, and profitable customer relationships—with a focus on privacy-first signal intelligence and highly accessible insights. The team has grown to 100+ people across several international hubs and continues to scale quickly. This is a chance to join a business that combines the agility of a fast-growth scale-up with the robustness of a mature, award-winning product ecosystem. Why Join? • Cutting-edge work: Build modern user interfaces that interact with advanced AI, data intelligence and agent-driven systems., • Award-winning environment: Multiple industry wins across AI, analytics, and ethics/diversity categories., • Impactful role: Shape the user-facing experience of a platform used by major global organisations., • Career acceleration: Fast-moving environment with clear opportunities to expand remit and ownership. We’re seeking a Frontend / Fullstack Engineer who enjoys owning features end-to-end and crafting intuitive, elegant, high-quality user experiences. This role sits at the heart of the product, transforming complex data and AI-driven intelligence into interfaces that feel simple, fast, and powerful. You’ll collaborate closely with product, design, and AI engineering teams—turning concepts into production-ready experiences, integrating with backend APIs, and continuously iterating based on user feedback and performance metrics. If you have an eye for detail, enjoy solving product-centric problems, and love building beautiful, functional UIs, this role is for you. What You’ll Do • Build intuitive, performant, and scalable user interfaces for both client-facing and internal applications., • Translate concepts, prototypes, and Figma designs into polished, production-ready interfaces., • Own fullstack delivery when required—connecting frontend components to backend APIs and services., • Collaborate with product and design on feature definition, workflows, and UX iteration., • Contribute to the design system, shared component libraries, and frontend architecture., • Integrate UIs with AI-driven agents, workflows, and real-time interactive experiences., • Apply best practices in testing, accessibility, performance, and maintainability., • Participate in design reviews, code reviews, and broader engineering knowledge sharing. Core Skills • Strong foundations in modern Frontend engineering: JavaScript/TypeScript, React, component patterns, state management, performance and accessibility., • Ability to translate product ideas and design assets into production-quality experiences., • A product-oriented mindset—focused on usability, business value, and the “why” behind features., • Solid Fullstack fundamentals with Node.js or Python, API development, and debugging across the stack., • Experience building data-rich interfaces, dashboards, visualisations, or complex workflows., • Interest in AI-driven UI patterns, agent interactions, or conversational interfaces., • Good design sensibility and appreciation for clean, intuitive UX., • Experience with Next.js, monorepos, or modular architectures. Agent & AI Development • TypeScript, React, Redux, • Next.js, • Python, Node.js This is an excellent fit for someone who: • Loves building polished, modern, user-centric interfaces., • Enjoys switching between frontend craftsmanship and pragmatic fullstack work., • Thrives in collaborative, product-focused environments., • Wants to work with AI-driven systems at real enterprise scale.

Do you want to be a founding engineer building production AI agents that handle real customer conversations? Have you ever owned a system end-to-end, from backend design to live deployment? Are you ready to help scale an AI product already live with real users in healthcare? A high-growth, pre-seed AI startup in healthcare is hiring a Founding Senior Software AI Engineer to help scale its AI platform. The product is already live in sites across the UK. This is a true founding-level role: you’ll work directly with the founding team, own major systems end-to-end alongside the CTO, and help define how AI agents are designed, deployed, and iterated in production. Role summary You’ll be a senior, hands-on engineer responsible for building scalable backend systems and deploying applied AI capabilities (LLMs, agentic workflows, voice + messaging). You’ll operate with high autonomy and strong product ownership. Key responsibilities • Build and scale backend services in Python (AWS), • Own production integrations (telephony/voice, WhatsApp, email), • Develop and improve LLM agent workflows (frameworks a plus), • Implement reliability, monitoring, evaluation and QA practices, • Work end-to-end: scoping, delivery, deployment and iteration, • Collaborate directly with founders on product and technical direction Requirements • 5-6+ years commercial software engineering experience (Python), • Strong AWS experience (production systems), • Real exposure to AI/LLM systems in industry (not purely academic), • Independent, proactive, high ownership mindset, • Strong communication and stakeholder skills, • Computer science degree preferred Nice to have • Experience with LangGraph / agent frameworks, • Twilio / voice systems / communications tooling, • WhatsApp / messaging platform integrations, • Start-up experience or strong side projects showing “spikes” Key details • Title: Founding Senior Software Engineer, • Salary: up to £120,000 + equity, • Location: Central London, • Working model: On-site 5 days/week, • Tech: Python, AWS, TypeScript/React, LLM frameworks, • Visa sponsorship: Not available Interested? Please apply below.

AI UX Engineer - £350PD - Remote.Experience with AWS Bedrock including model selection, deployment, and prompt engineering.Agentic workflow development, ideally using AWS AgentCore.Multi-agent orchestration frameworks such as AWS Strands Agents, LangGraph, or similar.LLM integration and fine-tuning

As a Senior Reservations Agent, you will support the smooth day-to-day running of the reservations department, acting as a role model for the team while consistently delivering the highest standard of customer service.

About Skippr At Skippr, we're a 100% AI-native company building AI agents that deliver 10X better products and supercharge our daily workflows. We're backed by top VCs like Bessemer (Anthropic, Perplexity, Shopify) and executives from Fiverr, Meta, Google, and Lyft. Why join Skippr • Real influence as an early hire. You'll have genuine ownership to shape how Skippr grows, • Generous equity package for founding team members, giving you a stake in what we're building, • Cutting-edge AI technology. Work with the latest AI developments and tools daily, • We reward talent, ambition and results, both financially and with career advancement, • Ground floor opportunity. Your impact will be felt across strategy, product, and company culture About the role We're looking for a Founding SDR to build and manage a high-quality sales pipeline for Skippr's AI agent platform, converting targeted outbound and inbound activity into qualified opportunities with tech companies. You'll work closely with founders to define ideal customer profiles, refine messaging, and qualify opportunities, while continuously improving our go-to-market approach. If you're comfortable owning a pipeline, love outbound sales, and want hands-on exposure building a B2B SaaS company, this role is for you. Full-time on-site model We work from our Old Street office 5 days per week. We're building something special and believe in the power of in-person collaboration. About You Experience • Sales Tools Proficiency: Comfortable with CRM platforms and prospecting tools (Sales Navigator, Outreach.io, Apollo, Clay, etc.), • Industry Background: at least 1 year in Sales Development or Business Development, ideally in B2B SaaS, tech, or high-growth startup, • Track Record: Demonstrated success generating pipeline, hitting or exceeding targets, and driving revenue growth Mindset • Analytical: You're naturally analytical and care about finding the right answer, not just the fastest one, • Comfortable with ambiguity: you thrive in chaos and unknowns motivate you to figure things out, • Independent and Accountable: You take ownership of your work and don't need hand-holding, • Experimental: If something doesn't work, you iterate, test, and try new approaches—you never stand still, • Driven: you're competitive, resilient, and motivated by winning What You'll Do • Qualify inbound and outbound leads and book discovery meetings, • Source and engage new prospects via cold calling, email, LinkedIn, events and creative outreach, • Build highly personalized outreach sequences, • Conduct discovery calls and product demos that clearly articulate value and ROI, • Provide feedback to the team to improve messaging and targeting, • Continuously refine outreach tactics and adopt best practices to boost prospecting effectiveness, • Stay obsessed with new business, feeding insights back into Product and Marketing to shape our roadmap and messaging Benefits / Perks • £40,000 - £50,000 basic salary - with additional £10k - £15k in commission (total OTE could be up to £65,000), • Meaningful early-stage equity in an AI-led B2B SaaS company, • Full-time on-site in our Old Street, London office, • 25 paid holidays + bank holidays, • Pension Scheme, • Comprehensive benefits package including private healthcare, • Full autonomy over your GTM tech stack with budget for tools, • Direct access to founders with real impact on GTM strategy Direct hire only - No agencies please

Senior Business Agent / Associate Director – Dental - London About Christie & Co We are the leading specialist adviser for buying and selling businesses in our sectors - hotels, pubs, restaurants, childcare, healthcare, convenience retail, leisure and medical. With 90 years of experience, we offer professional brokerage and advisory services through our network of 11 offices in the UK and 11 in Europe. We pride ourselves on our high standards, providing a client-centric experience and building business around our clients through tailored services. Our mission is to be the broker and adviser of choice within our specialist sectors. About our Dental Sector We are the UK’s leading dental broker, renowned for our expertise, professionalism, and ability to deliver exceptional results for our clients in this highly specialist field. We have facilitated countless successful transactions, earning the trust and respect of dentists and industry leaders alike. Our dental team has had huge success in growing organically and brings a vast amount of experience across agency and valuation services for our clients which range from single-practice owners to the leading corporate operators, across all forms of dentistry including NHS, private, and orthodontics. About the Role This is an exciting opportunity for an individual to grow our Dental business in one of the most active and lucrative patches of the country, it’s an extremely competitive landscape but should be highly rewarding for the right candidate. You will be responsible for identifying and engaging with dental practice owners, building strategic partnerships, and driving transactions that make a real difference to dental professionals in the London region. You will develop and execute a targeted strategy to further establish our presence in London, leveraging your market knowledge, business acumen, and relationship-building skills to ensure we quickly become a trusted partner in the dental sector. Location The position will be based out of our London office in Blackfriars. We operate a hybrid working model with two days WFH, however the initial 3-6 months will be a ramping up period and will require four days minimum in the office. Key Responsibilities • Develop and implement a comprehensive business development strategy., • Identify, engage, and build relationships with dental practice owners, buyers, and other key stakeholders., • Lead all aspects of the sales cycle, from prospecting and presenting through to negotiation and closing deals., • Conduct in-depth market analysis to identify growth opportunities., • Represent the company at industry events, building our brand as the go-to dental brokerage firm. What We’re Looking For • A minimum 3+ years selling commercial operational businesses., • Proven track record: Demonstrated success in business development, sales, or brokerage, ideally in the dental, healthcare, or professional services sector., • Exceptional communication, with outstanding interpersonal and negotiation skills., • Self-starter: Highly motivated and entrepreneurial, with the ability to work independently and drive results in a new market., • Industry knowledge: Familiarity with the dental or healthcare market in the UK is a strong advantage., • Commercial acumen: Strong analytical skills and a strategic mindset, with the ability to identify opportunities and deliver tangible value to clients., • Willingness to travel: Flexibility to travel frequently to meet clients and grow the business. What We Offer • Car allowance + car insurance for you plus one, • 25 days holiday with additional leave during Christmas, • Income protection, • Life Assurance, • Up to 30-days discretionary sick leave, • Gym, Health & Wellbeing discounts, • Annual Health check, • Eyecare vouchers, • Wellbeing employee assistance platform, • The chance to lead the expansion of a market-leading brand, • A role with significant autonomy and responsibility, where your efforts will directly impact the company’s success., • A collaborative, supportive environment with access to the expertise and resources of our UK-based team., • Exciting growth potential, both personally and professionally, as you help shape the future of our dental business. * Please note we will not be able to sponsor for this position and therefore only invite candidates permanently settled in the UK or not requiring sponsorship * We are an equal opportunities employer and welcome applications from all suitably qualified individuals regardless of age, disability, gender, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. For more information, please apply today or send any questions to:

About the Company Change the World Academy (by Diplomatici S.p.A.) is an international education leader and NGO with consultative status at the United Nations (ECOSOC). For over 20 years, we’ve empowered more than 100,000 students worldwide through global simulations, leadership training, and international forums held at top-tier institutions such as the UN Headquarters in New York, FAO in Rome, and more. Our mission is to train the global citizens of tomorrow—young people who are capable, informed, and committed to building a better world through democracy, dialogue, and inclusion. About the Role We are looking for a highly motivated and ambitious Sales Agent to join our international team and help expand our presence in the UK education market. This is an exciting opportunity for someone eager to take full ownership of their area and contribute to the success of our educational programs. Responsibilities • Connect with schools, educators, and student communities across the UK., • Present our international training and travel programs to new prospects., • Close B2B (schools) and B2C (students/families) deals., • Provide excellent support and follow-up to existing clients., • Help us grow our brand locally with passion and professionalism., • Research and contact potential school partners and educators., • Organize and attend meetings (online and in-person)., • Build tailored proposals based on each school’s needs., • Ensure a high level of client satisfaction and relationship building., • Hit your sales targets and contribute to team goals., • Provide weekly activity and results reports. Qualifications • A dynamic, and highly motivated individual., • Previous experience in sales (especially in education or training) is a plus., • Strong interpersonal and communication skills., • Ability to work independently and with clear goals., • Knowledge of the UK education system is a big advantage. Required Skills • Strong interpersonal and communication skills., • Ability to work independently and with clear goals., • Knowledge of the UK education system is a big advantage., • Fluent in English (C1 level minimum). Preferred Skills • Previous experience in sales (especially in education or training) is a plus. Compensation Package We offer a unique opportunity for ambitious, impact-driven professionals to join a dynamic and international team. The collaboration is structured as a freelance agreement and includes a monthly fixed retainer of €2,500, combined with a performance-based commission of 3% on the revenue generated. This model is designed to strongly reward results: within 12 months, high-performing collaborators can realistically double their overall compensation, reaching an annual income of approximately €60,000. After an initial trial phase, successful candidates will have access to a long-term engagement model that values both commitment and performance, while maintaining flexibility and autonomy. If you are ready to grow with a purpose-driven organization and make a tangible impact on students’ lives around the world, we would be delighted to welcome you on board. Travel & Perks • All travel expenses covered for meetings outside your assigned area, • Opportunities for international travel to support and attend events in Paris, Rome, New York, Singapore, and Abu Dhabi Growth & Development • Ongoing training, mentoring, and personal development, • Work with a passionate, globally-minded team, • Flexible, remote-first structure focused on results and autonomy If you’re looking to grow within a fast-paced, mission-oriented environment, this could be your next step. Let’s connect. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices.

Core Mission: As a core member of our UK& EU region business development team, you will lead energy storage project development (from early development phase to RtB) and drive investment/financing activities in UK&EU region. The role will have a key focus on developing a pipeline of Utility Scale Storage projects, with the business targeting both greenfield development and early development acquisitions within the UK&EU region market. There are considerable investment confirmed into the Development arm of the business for the coming years meaning a blank canvas for a creative Development Associate who really wants to get their teeth into developing innovative utility scale projects. Key Responsibilities: • Monitor and analyze UK&EU region electricity market structures, pricing mechanisms, ancillary service demands, grid services and price trends., • Identify, screen, and evaluate energy storage project opportunities (greenfield, brownfield, co-location) in pre-RTB stages and RtB stage., • Manage key development workflows: site selection, land acquisition, grid access applications, environmental/planning permits, M&A activities, inputs into the Financial Model and local resource coordination., • Identify new potential utility-scale projects through various sources including utilizing a data-driven software-based approach to identify projects and land to target., • Oversee land acquisition efforts. Involvement in direct landowner negotiations, also managing external land agent partners., • Represent the company to external/key stakeholders including local councils, • and government, officials, consultants, landowners., • Manage all aspects of the project development process (grid connection, land acquisitions, permitting, environmental studies, leading public hearing processes, creating and maintaining relationships with local stakeholders, etc)., • Work closely with internal company departments (engineering, finance, legal, operations) to identify and minimize project risks. Implement solutions to maximize project value., • Work with technical team and external consultants to assist with the grid connection process., • Experience: Minimum 5 years in energy/power sectors, covering project development, technical, project M&A activities, and engineering management., • Skills:, • Mastery of delivering projects from inception, through development, and into RtB stage., • Proven track record in UK&EU region energy storage project development, M&A, or asset rotation., • Fundamental knowledge of key determining factors for designing a constructable and bankable BESS project., • Experiences of developing projects from RtB to FID and COD will be beneficial advantangeous., • Communication: Exceptional negotiation and stakeholder management skills (technical teams, investors, legal, land owners and government agencies)., • Education: Master’s degree in Business, Engineering, or related fields., • Language: Fluent in English (written/spoken); additional languages are a plus., • Mobility: Ability to travel frequently within UK&EU region.

Founding Engineer – Full-Stack / AI / Early-Stage Startup Location: London (Hybrid 3 days onsite) Employment Type: Permanent Salary: Competitive (DOE) A fast-growing early-stage technology startup is building AI-driven products that power data-heavy workflows across digital platforms. The team operates with high ownership, fast iteration cycles, and a strong engineering culture focused on shipping meaningful features into production. They are now hiring a Founding Engineer to take end-to-end ownership of features across the full stack, contribute to AI-powered workflows, and help shape the technical architecture as the platform scales. This role suits someone who enjoys autonomy, moving quickly, and working across product, engineering, and experimentation in a startup environment. The Role You’ll design and implement production-grade features from initial concepts and designs through to deployment. Working across backend and frontend systems, you’ll help build intelligent workflows using modern AI tooling, contribute to cloud infrastructure and CI/CD pipelines, and experiment with emerging technologies in data engineering and machine learning. You’ll have meaningful influence over architecture, tooling, and product direction while operating in a highly collaborative, early-stage team. What You’ll Be Doing Product Architecture and Delivery • Translate project briefs and product designs into technical architecture and implementation plans., • Own features end-to-end across backend and frontend through to production release., • Contribute to system design decisions as the platform scales. AI and Intelligent Workflows • Build AI-driven features including agent-based workflows and embedding-driven matching systems., • Experiment with LLM-powered tools and apply them to real production use cases., • Design and optimise vector search and embedding pipelines to power semantic search, recommendation, and Retrieval-Augmented Generation (RAG) systems., • Architect and implement agentic AI systems capable of planning, reasoning, tool use, and autonomous task execution., • Explore new approaches in automation, search, and data enrichment. Deployment and Engineering Excellence • Improve and maintain CI/CD pipelines to enable fast, reliable releases., • Contribute to cloud deployments and operational stability., • Promote engineering best practices across testing, monitoring, and code quality. Experimentation and Innovation • Run technical experiments in data engineering, infrastructure, and AI., • Prototype and validate new technologies before moving them into production., • Continuously improve developer experience and delivery velocity. Ownership and Collaboration • Operate across the full technical stack in a high-autonomy environment., • Collaborate closely with product and business stakeholders., • Take responsibility for delivery quality and system performance. Core Experience • 2–3 years of hands-on engineering experience or equivalent project-based experience demonstrating ownership and impact., • Strong commercial experience with TypeScript and Node.js., • Experience delivering production features across backend and frontend systems. Mindset and Attributes • Comfortable operating in ambiguous, fast-moving environments., • Highly organised, proactive, and delivery focused., • Strong problem-solving skills and appetite for learning., • Excited about applying AI and LLM-powered tools to real-world workflows., • Thrives with autonomy and responsibility. Bonus Experience • Exposure to AWS serverless or event-driven architectures., • Mobile development experience (e.g., Flutter). Benefits • Flexible hybrid working model, • Generous Equity, • High ownership and autonomy, • Opportunity to influence architecture and product direction, • Fast learning environment with exposure to AI and modern cloud tooling, • Competitive compensation and early-stage growth opportunity Interview Process • Short introductory call, • In-person technical challenge and interview, • Culture and values interview

About A1 A1 is a self-funded, independent AI group, focused on building a new consumer AI application with global impact. We’re assembling a small, elite team of ML, engineering and product builders who want to work on meaningful, high-impact problems. About The Role You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead. You won’t just fine-tune models - you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short. What You’ll be Doing • Build end-to-end training pipelines: data → training → eval → inference, • Design new model architectures or adapt open-source frontier models, • Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation), • Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeed, • Build data systems for high-quality synthetic and real-world training data, • Develop alignment, safety, and guardrail strategies, • Design evaluation frameworks across performance, robustness, safety, and bias, • Own deployment: GPU optimization, latency reduction, scaling policies, • Shape early product direction, experiment with new use cases, and build AI-powered experiences from zero, • Strong background in deep learning and transformer architectures, • Hands-on experience training or fine-tuning large models (LLMs or vision models), • Proficiency with PyTorch, JAX, or TensorFlow, • Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray), • Strong software engineering skills — writing robust, production-grade systems, • Experience with GPU optimization: memory efficiency, quantization, mixed precision, • Experience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer), • Contributions to open-source ML libraries, • Background in scientific computing, compilers, or GPU kernels, • Experience with RLHF pipelines (PPO, DPO, ORPO), • Experience training or deploying multimodal or diffusion models, • Experience in large-scale data processing (Apache Arrow, Spark, Ray), • Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI)

Multi-Agent LLM Systems Remote (MUST BE IN EUROPE) We’re partnering with a venture-backed startup led by a founder who has built and taken two technology companies to IPO, now assembling a world-class team to tackle one of the most impactful problems in applied AI. The company is developing a voice-enabled AI copilot used by professionals to eliminate the friction from documentation and decision-making, a product with genuine, real-world impact that’s already being used in production environments. They’re now looking for a Senior/Staff AI Engineer to own and evolve the core “brain” service behind this assistant, the system that powers reasoning, retrieval, and dialogue in real time. Interview Process: 1️⃣ Intro call where we talk about the role. 2️⃣ Technical discussion with the Head of AI. 3️⃣ Deep-dive session with a Backend Engineer and ML Engineer from the team. 4️⃣ 30-minute conversation with the Founder. Why This Is Worth Your Time • Real ownership: You’ll be the architect behind a core AI system, not a feature contributor., • Fast-moving environment, • Immediate impact: Your code will run in production and support real users from day one., • Technical depth: Multi-agent reasoning, voice-streaming, RAG optimisation and all in one system., • Flexible setup: Remote across the EU, with optional co-working in London or Barcelona. What you’ll do • Obsessive about latency, you think in milliseconds, optimise for concurrency, and understand the trade-offs between speed, cost, and model performance., • Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate., • Develop FastAPI-based microservices optimised for low latency and high reliability., • Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation., • Integrate real-time voice interfaces (STT/TTS, WebRTC, LiveKit) into intelligent conversational flows., • Instrument and evaluate system performance using observability and model-faithfulness metrics. What we’re looking for • Proven ability to build and ship agentic or multi-agent frameworks into production., • Expert Python, FastAPI, and asyncio developer., • Practical experience with LangChain, Autogen, or custom orchestration layers., • Startup mindset: ownership, speed, and pragmatism over perfection. Bonus points • Experience working with voice or streaming systems (STT/TTS, WebRTC, LiveKit)., • Exposure to evaluation tooling, LLM-as-judge setups, or agent benchmarking., • Background in healthtech, fintech, or other compliance-heavy sectors.

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.

About A1 A1 is a self-funded, independent AI group, focused on building a new consumer AI application with global impact. We’re assembling a small, elite team of ML, engineering and product builders who want to work on meaningful, high-impact problems. About The Role You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead. You won’t just fine-tune models - you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short. What You’ll be Doing • Build end-to-end training pipelines: data → training → eval → inference, • Design new model architectures or adapt open-source frontier models, • Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation), • Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeed, • Build data systems for high-quality synthetic and real-world training data, • Develop alignment, safety, and guardrail strategies, • Design evaluation frameworks across performance, robustness, safety, and bias, • Own deployment: GPU optimization, latency reduction, scaling policies, • Shape early product direction, experiment with new use cases, and build AI-powered experiences from zero, • Strong background in deep learning and transformer architectures, • Hands-on experience training or fine-tuning large models (LLMs or vision models), • Proficiency with PyTorch, JAX, or TensorFlow, • Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray), • Strong software engineering skills — writing robust, production-grade systems, • Experience with GPU optimization: memory efficiency, quantization, mixed precision, • Experience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer), • Contributions to open-source ML libraries, • Background in scientific computing, compilers, or GPU kernels, • Experience with RLHF pipelines (PPO, DPO, ORPO), • Experience training or deploying multimodal or diffusion models, • Experience in large-scale data processing (Apache Arrow, Spark, Ray), • Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI)

About A1 A1 is a self-funded, independent AI group, focused on building a new consumer AI application with global impact. We’re assembling a small, elite team of ML, engineering and product builders who want to work on meaningful, high-impact problems. About The Role You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead. You won’t just fine-tune models - you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short. What You’ll be Doing • Build end-to-end training pipelines: data → training → eval → inference, • Design new model architectures or adapt open-source frontier models, • Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation), • Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeed, • Build data systems for high-quality synthetic and real-world training data, • Develop alignment, safety, and guardrail strategies, • Design evaluation frameworks across performance, robustness, safety, and bias, • Own deployment: GPU optimization, latency reduction, scaling policies, • Shape early product direction, experiment with new use cases, and build AI-powered experiences from zero, • Strong background in deep learning and transformer architectures, • Hands-on experience training or fine-tuning large models (LLMs or vision models), • Proficiency with PyTorch, JAX, or TensorFlow, • Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray), • Strong software engineering skills — writing robust, production-grade systems, • Experience with GPU optimization: memory efficiency, quantization, mixed precision, • Experience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer), • Contributions to open-source ML libraries, • Background in scientific computing, compilers, or GPU kernels, • Experience with RLHF pipelines (PPO, DPO, ORPO), • Experience training or deploying multimodal or diffusion models, • Experience in large-scale data processing (Apache Arrow, Spark, Ray), • Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI)

QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face ever-increasing disruption caused by technology-driven innovation and changing consumer preferences. In order to survive and thrive, manufacturers must be able to innovate and change business models at unprecedented rates of speed. QAD calls these companies Adaptive Manufacturing Enterprises. QAD solutions help customers in the automotive, life sciences, packaging, consumer products, food and beverage, high tech and industrial manufacturing industries rapidly adapt to change and innovate for competitive advantage. We are looking for talented individuals who want to join us on our mission to help solve relevant real-world problems in manufacturing and the supply chain. This role is fully remote in UK, with full work authorization already in effect. No Visa sponsorship is available. Job Description In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will be involved in the entire data chain, from data ingestion to its use by data science teams and AI systems in production within a human-sized and multidisciplinary team. This role is within Process Intelligence (PI) team that combines functions such as Process Mining, Real Time Monitoring and Predictive AI Key responsibilities: • Design and maintain scalable data pipelines., • Structure, transform, and optimize data in Snowflake., • Implement multi-source ETL/ELT flows (ERP, APIs, files)., • Leverage the AWS environment, including S3, IAM, and various data services., • Prepare data for Data Science teams and integrate AI/ML models into production., • Ensure data quality, security, and governance., • Provide input on data architecture. Qualifications • 5+ years of experience in data engineering, including significant experience in a cloud environment., • Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security., • AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda., • Languages: Advanced SQL and Python for data manipulation, automation, and ML integration., • Data Engineering: Proven experience in ETL/ELT pipeline design., • AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real-time). Nice to Have: • Experience with agentic AI architectures, including agent orchestration and decision loops., • Integration of agent-driven AI models into existing data pipelines., • Knowledge of modern architectures such as Lakehouse or Data Mesh.

Job Description As an Agentic AI Engineer, you will design, build, and run AI agents and workflows that meaningfully improve how our engineers work every day. You will work closely with engineering teams to understand their pain points and translate them into practical solutions — for example, building reusable components like commands, skills, and CI agents; designing and orchestrating custom agent workflows; developing low/no-code agents for faster adoption; and creating and maintaining knowledge bases connected via connectors and MCP servers. You will also help teams adopt modern development workflows (e.g., spec-driven development instead of “vibe coding”) and lead workshops and training sessions to scale these practices across the organization Your work will help our teams shape the new way of working, reduce manual and repetitive work, and unlock new ways of collaborating with AI agents at scale — ultimately improving both developer productivity and the impact we deliver for clients. You will be based in Europe time zone as part of our CodeBeyond Team, partnering with engineers and stakeholders across different teams and setups. This team helps our colleagues adopt cutting-edge agentic platforms and workflows so they can focus more on solving complex problems and less on routine execution. Your Growth You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference. When you join us, you will have: • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey., • A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes., • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences., • Deep experience with agentic platforms, • Hands-on experience building and deploying agents using platforms such as AgentCore, Gemini Enterprise, and Azure Copilot., • Strong understanding of agent SDKs and frameworks such as ADK, LangChain, and Strands., • Strong development workflow discipline, • Proficient in modern development workflows (branching, code review, CI/CD, testing, observability)., • Clear understanding of why “vibe coding” (coding without specs, tests, or structure) is harmful at scale., • Experience using spec-driven development or similar frameworks to design and implement features in a structured way., • Agentic protocols, communication, and tactics, • Familiarity with key agentic patterns and protocols such as A2A (agent-to-agent communication), MCP (Model Context Protocol), RAG (Retrieval-Augmented Generation), memory management, and context management., • Ability to design effective interaction patterns between agents, tools, and users., • Cross-functional collaboration, • Ability to work with engineers, PMs, and other stakeholders to understand their problems and define clear, actionable requirements., • Experience running workshops, training sessions, and demos to drive adoption and teach best practices., • Hands-on build experience with LLM tooling, • Have created and maintained Cursor commands, Claude skills, steering documents, and CI agents (or similar equivalents in other tools)., • Comfortable experimenting with and standardizing new agent workflows and tools for wider team use., • Nice to have, • Experience with enterprise AI governance, safety, and compliance practices., • Background in developer experience (DevEx), platform engineering, or internal tools., • Familiarity with observability and monitoring for agents (traces, logs, evaluation frameworks, feedback loops)., • Experience integrating agents with existing systems via APIs, webhooks, and event-driven architectures.

At Intercept, we help organizations unlock the full potential of AI in the Cloud. As an AI & .Net Developer you’ll guide customers through their AI journey, designing and delivering innovative solutions built on Azure’s cutting-edge capabilities. You turn complex ideas into practical, scalable applications, bridging data, cloud services, and intelligent models. With your technical insight and clear communication, you empower customers to confidently adopt AI and drive meaningful impact across their business. Key Responsibilities: • Advise, guide, and support customers on their AI Journey and broader Azure AI-related questions., • Designing and delivering custom AI solutions on Azure OpenAI Service and Microsoft Foundry, using patterns like RAG, function calling, tool/agent orchestration, and fine-tuning where appropriate., • Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data platforms) for seamless collaboration., • Design and optimize data pipelines that prepare structured and unstructured data for model training and RAG solutions., • Implement vector search, embeddings, and retrieval-augmented generation workflows., • Fine-tune or customize foundation models for domain-specific use cases., • Create automated evaluation and monitoring systems to track model quality and drift., • Delivering technical workshops and demos to enthusiast customers and guide them in their AI journey., • Document architectures, workflows, and best practices for internal and external stakeholders., • Contributing to cloud-native applications and integrate them with AI solutions., • Participating in daily stand-ups and sprints; breaking down work into deliverable backlog items and documenting designs, decisions, and runbooks. About us: Digitization has fundamentally changed our world and technology now plays an unavoidable role in our daily lives. At Intercept, we’re driven to make a real impact by empowering software organisations to build better software for a better tomorrow. We help them work faster, more efficiently, and more securely. Our ultimate goal (BHAG) is that by 2032 we have consistently worked our Intercept magic and empowered 10,000 software organisations to build a better tomorrow and educated1,000 ambassadors to drive that vision forward.Our expertise is demonstrated through the certifications and acknowledgments we've earned from both Microsoft and our valued customers. We call ourselves Interceptors and we have created an atmosphere of a "community within a community." With a true people-first mindset, together, we take on challenges, support each other, and achieve more as one united force. We are working daily to empower our customers and each other. We are ambitious, driven and innovative. But make no mistake, we work hard but also get a lot of fun and success in return. Job requirements • Strong understanding of AI frameworks, tools, and capabilities, • Ability to design, train, and deploy models for real-world applications, • Solid grasp of cloud-based AI services and scalable solution architectures, • Experience integrating AI into existing software systems, • Commitment to staying current with emerging AI technologies and responsible/ethical AI practices, • Excellent communication skills, with the ability to collaborate with both technical and non-technical stakeholders, • Experienced with .NET What do we offer? • Salary range between 52.000 to 62.000GBP gross per year depending on experience., • €400 to set up your home office and a DeskGuru consultation to ensure ergonomic working conditions., • Work in Flexible, Remote First environment with a lot of Autonomy!, • Study during work hours? No problem! We provide time and space for professional development, • We also value the future, so our pension conditions are up to date!, • A personalized welcome pack with your laptop and all the tools you need to hit the ground running., • Collaborative and Friendly Team., • Be part of a fun, Inclusive culture and attend our great In-person events: Interceptival & Wintercept

ABOUT US The Guinness Partnership is one of the leading providers of affordable housing in England. We build and manage homes and provide housing services for nearly 160,000 residents nationwide. Our vision is to deliver great service, provide great homes, to be a great business and to be a great place to work. Because everything we do is about our residents, our communities and our people, any profit we make is re-invested in new and existing homes and improving services. The Guinness Partnership is an equal opportunities employer. We are committed to equality of opportunity for all colleagues, and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. JOB DESCRIPTION Are you a property professional with experience in providing a compliant lease management service? We are seeking a Managing Agent Team Manager to join our London based team on a full time, permanent basis. Reporting to the Homeowner Services Manager you'll lead a National Managing Agent Team to deliver a high-quality, regulatory and legally compliant lease management service across a portfolio of homes located on estates owned and managed by third-party landlords and Managing Agents acting on behalf of a Superior Landlord. We operate a hybrid working model which requires employees to work in the office for three days per week with the remaining two being from home. Key Responsibilities Service Charges: You will receive and scrutinise service charge demands, accounts and formal notices from managing agents, addressing areas of concerns or non-compliance. Compliance: Oversee reporting for TSM Regulatory compliance, addressing areas of concerns or non-compliance Customer support: You will advise and support customers, stakeholder teams, and colleagues with Superior Landlord and Managing Agent issues, and act as a point of escalation when necessary. Leasehold property law: You will ensurethat customers receive appropriate information and support to comply with their rights and responsibilities in their leases, in accordance with Guinness's service standards, principles, policies and procedures, and any relevant superior titles (i.e. Head Leases). Legislation knowledge: You will havea working knowledge of relevant legislation (i.e. S18-30 Landlord and Tenant Act 1985, Commonhold & Leasehold Reform Act 2002), RICS and ARMA guidelines, and associated regulations and procedures. Subject matter expert: You'll be expected toproviding subject-matter expertise across the organisation, including interpretation of leases, legal structures, rights, responsibilities, service charge provisions (including recoverability and any VFM risks), and support cross-functional working. Data & reporting: You will be competent withmonitoring, managing and reporting on finance and safety compliance on buildings and estates controlled by third parties and ensure any incidents of non-compliance are escalated in accordance with relevant protocols and legal options. Role Criteria Essential: Educated to Level 2, GCSE Grade 4/C or above (or equivalent). Ability to read, interpret, apply, and explain complex title (i.e. leasehold) documents, structures and provisions. A good understanding of variable service charge provisions and practices. Experience of providing high levels of Customer Service and meeting a wide range of customers' expectations. Excellent standard of oral and written communication. Experience and responsibility of health and safety or other equivalent compliance. Highly self-motivated with the ability to plan and work effectively without high levels of supervision. Desirable: TPI Level 3. RICS accreditation Recruiting, managing and developing staff in a customer service environment. Experience of Leasehold and affordable housing tenures (i.e. Shared Ownership, Affordable Rent). Experience of preparing and managing Section 20 and Section 20b notices. Fire risk assessment actions. If you're interested in joining us and would like to apply for this role, please review the role profile to view all of the key responsibilities and to ensure you meet the essential criteria. The advertised salary includes a Local Job Supplement of £4000 Benefits • Holidays We offer 25 27 days holiday a year, plus bank holidays. We will also give you the opportunity to buy up to an additional 5 days. You will also receive additional holiday in line with your length of service (1 extra day per 5 years service, capped at 4 days). • Competitive Pension Scheme We will help you save for your retirement through our workplace pension scheme. Guinness match your contribution up to 9%. To help you get the most out of your pension contributions, we operate a salary sacrifice arrangement that means you will pay less National Insurance contributions. • Benefits Portal We have a lifestyle benefits scheme, pulling together a range of special offers and great deals. You can make some great savings on everyday shopping from fashion and electronics to travel, leisure and days out and weekly supermarket shopping. • Performance Pay Annual Performance Score bonus subject to eligibility • Life Assurance For peace of mind Guinness provides three times salary life cover in the event of your death • Health Plan Options There are a couple of health care schemes available depending on the post grade • VDU/DSE Free eye test vouchers every 2 years with £55 contribution to glasses if requires for VDU work • Access to the Finance wellbeing portal • Professional subscription annual payment • Travel season ticket loan • Car lease scheme TPBN1_UKTJ

Role: Events Manager Rate: £400 p/d - Inside IR35 Location: London HQ - Hybrid Model (2-3 days p/w on site) Duration: Until 31st March 2026 Start Date: ASAP Candidate must declare any holiday between February - March to the agent We are looking for a confident Events Manager, who will be part of th

A scale-up venture for B2B sales leaders with a passion for driving growth Self-employed leadership opportunity in a high-performing Financial Services agency Significant renewal book with new business growth potential in Commercial and HNW Uncapped £six-figure earnings with no capital investment required Create bespoke insurance solutions with the support of NFU Mutual. At NFU Mutual, weve built our reputation on, and succeeded in, the agricultural sector. From there weve evolved our expertise to expand into the wider commercial landscape, providing tailored solutions to a range of businesses from local independents and SMEs through to larger £multi-million complex corporations. Aligned to NFU Mutuals expansion into the commercial arena, a new Partner appointment is available within the NFU Mutual Edinburgh & The Lothians Agency. The current Partners ambitions are to accelerate growth of the non-farm book, primarily leading with a scale-up of Commercial Lines given the proximity to Edinburgh and other hotspots across the Central Belt. With the support of two experienced partners and a dedicated team of staff, youll be walking into a fully optimised operation with a sizeable renewal book and pipeline of prospects. Your responsibility will be to lead on the agencys ambitious scale-up plan for Commercial & HNW clients, with end-to-end accountability from setting strategy to making it happen. Combining sales leadership with commercial flair Whilst previous experience in Commercial or HNW Broking would be advantageous, we invite applications from other sectors and professions with the following transferable skills and experience: B2B consultative sales with key account management Strategic leadership with strong people skills Commercial acumen with the ability to develop sales and retention strategies Customer ethos with a dedication to customer care. Rewards and support As a self-employed Agent of NFU Mutual, your earnings are based on the performance of the agency. However, this is a self-employed opportunity with a difference. Unlike most self-employed business ventures which demand start-up funding or venture buy-ins, our model requires zero upfront capital investment. In addition, youll benefit from: Uncapped £six-figure earnings with no capital investment required - your drive, vision and personal ambition are the only limit to future income growth A ready-made and loyal customer base with a renewal rate of c95% Our commitment is to set you up for success and help you along the way too. Whilst its your business to run, youll have access to a host of NFU Mutual support services including sales, marketing, financial planning and so much more. Apply now This is a unique business scale-up opportunity with the full backing of an already successful agency team and the support of NFU Mutual, a hugely respected UK insurance business. TPBN1_UKTJ

A forward-thinking, independent construction and property consultancy is seeking an experienced Senior Quantity Surveyor to join their expanding London-based team. This is an excellent opportunity for a skilled professional to work across a wide range of projects within the infrastructure, commercial, healthcare, and education sectors, delivering tailored cost management solutions for prestigious UK clients. The Senior Quantity Surveyor Role The successful Senior Quantity Surveyor will join a multidisciplinary consultancy known for its hands-on approach, collaborative culture, and emphasis on delivering value-driven outcomes across both public and private sector schemes. As a Senior Quantity Surveyor, you will be responsible for managing your own portfolio of projects from early feasibility to final account, offering expert cost advice, overseeing procurement processes, and supporting junior staff in their development. You will also work closely with clients to ensure the highest level of service delivery. Senior Quantity Surveyor Responsibilities: • Deliver full pre- and post-contract Quantity Surveying services, • Prepare detailed cost estimates, cost plans, and tender documentation, • Manage procurement strategies and tender processes, • Administer contracts and lead change control processes, • Track budgets, manage cost reporting, and maintain financial oversight, • Provide value engineering advice and support risk management strategies, • Mentor junior Quantity Surveyors and assist in their APC progress, • Degree qualified in Quantity Surveying or a related construction field, • Ideally MRICS or actively working towards chartership, • Proven experience operating as a Senior Quantity Surveyor within a consultancy environment, • Strong knowledge of UK construction contracts (JCT, NEC), • Project experience across infrastructure, education, healthcare, and/or commercial sectors, • Excellent communication and client relationship skills, • £60,000 - £70,000 per annum, • Hybrid working model (office and home-based), • 25 days annual leave + bank holidays, • Private healthcare, • Enhanced pension contribution, • Life assurance, • Discretionary bonus scheme, • Full support for professional development and chartership Reference Quantity Surveyor / Project Manager / Project Management / Employers Agent / Surveying / Construction / Building Surveyor / MRICS / MICOB / MAPM / FRICS / Contract Administration / Associate Director / Construction Consultancy

A multidiciplinary, international property and construction consultancy is currently looking for an experienced Project Quantity Surveyor to join their central London team. Known for delivering cutting-edge commercial and mission-critical developments, the consultancy is particularly active in the data centre sector across the UK and Europe. This is an excellent opportunity for a technically strong Project Quantity Surveyor with experience in the data centre or advanced technology sector to work on high-value, fast-paced projects. The role offers exposure to international clients, complex builds, and clear progression towards Senior QS in a forward-thinking, collaborative environment. The successful Project Quantity Surveyor will be responsible for managing cost consultancy services across key data centre schemes, from early feasibility through to final account. This role is ideal for a Project Quantity Surveyor looking to specialise in high-growth, high-demand sectors within a consultancy that is a recognised leader in this space. Project Quantity Surveyor - Key Responsibilities • Deliver full pre- and post-contract cost management on data centre projects, • Prepare cost plans, tender documentation, and procurement strategies, • Lead contract administration and financial reporting (JCT/NEC), • Liaise with design teams, contractors, and clients across the project lifecycle, • Support project delivery across UK and European data centre programmes, • 3-5 years' experience in a consultancy or client-side QS role, • Proven experience on data centre or mission-critical projects (essential), • Degree qualified in Quantity Surveying or a RICS-accredited discipline, • Strong understanding of JCT and/or NEC contracts, • Excellent communication and client-facing skills, • Competitive salary between £50,000 - £60,000, • Opportunity to work on major UK and European data centre projects, • Clear path to Senior Quantity Surveyor and long-term career growth, • Flexible hybrid working model, • Collaborative, high-performing international team, • Exposure to some of the most in-demand projects in the construction industry If you are a Quantity Surveyor considering your career opportunities, then please contact Dan McEvoy at Brandon James. Reference 21159 Quantity Surveyor / Project Manager / Project Management / Employers Agent / Surveying / Construction / Building Surveyor / MRICS / MICOB / MAPM / FRICS / Contract Administration / Associate Director / Construction Consultancy

In this FULLY EMPLOYED position Our Partners are given the flexibility of a SELF EMPLOYED model with full responsibility for becoming the best Estate Agent in their local area. The best Partners will have an entrepreneurial spirit and desire to want to be the best Estate Agent in their area. Everyth

A respected London-based property consultancy is seeking a qualified Building Surveyor (MRICS) with minimum 2 years PQE to join their busy Building Surveying team to come in at either Senior or Associate level. Role overview You will work on a well-balanced portfolio, with around 20% of your time spent on pre-acquisition surveys of high-end residential properties valued between £2 million and £100 million. The majority of your workload will involve commercial work with a significant amount of occupier-side corporate projects, including fit-outs, dilapidations, and office relocations for blue-chip clients. Key responsibilities Conduct building surveys, pre-acquisition surveys, and due diligence reporting. Prepare and negotiate Schedules of Dilapidations. Produce Schedules of Condition and Reinstatement Cost Assessments. Deliver feasibility studies, defect diagnosis, and planned maintenance strategies. Oversee development monitoring for landlords, tenants, and funders. Act as Contract Administrator or Employers Agent on refurbishment, fit-out, and new build projects. Manage occupier-side fit-outs and relocations (typically 5,00020,000 sq ft). Coordinate with Project Management and Quantity Surveying teams. Provide technical and strategic advice to corporate occupier and high-end residential clients. Candidate profile MRICS-qualified Building Surveyor with 215 years PQE. Strong commercial surveying experience; some residential experience advantageous. Experience of dilapidations, pre-acquisition, and fit-out projects preferred. Excellent technical, reporting, and client management skills. Ability to manage projects independently within a multi-disciplinary team. Team & culture Join a London office with 120 staff and a 20-strong Project & Building Consultancy team. Work in a professional, collaborative environment servicing commercial, residential, and rural clients. Hybrid working model: typically three days in the office, two from home (site visits count as office days). Why apply? Competitive salary: £60,000 £85,000 depending on experience. Engage with high-profile corporate and residential clients. Be part of a company with a strategic growth plan, a flat structure, and a heritage of quality Benefit from strong leadership, ongoing investment in people and technology, and a partner-led culture. TPBN1_UKTJ

Estate Agent Partner in Borehamwood. Proven experience as an estate agent or in a similar sales role. The role offers a unique partnership model that blends the flexibility of a self‑employed setup with the support of an established estate agency.

We are looking for an experienced Estate Agent to represent the haart brand in the Borehamwood area. In this FULLY EMPLOYED position our Partners are given the flexibility of a SELF EMPLOYED model with full responsibility for becoming the best Estate Agent in their local area. Our Partners: The best

A leading AI platform company in Greater London is seeking a software engineer to drive AI agent infrastructure and deploy features at scale.