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The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management. As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities • Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability, • Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms, • Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments, • Productionize data science code – convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows, • Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run, • Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management, • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform, • Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum Qualifications • 5+ years of experience in machine learning engineering, data engineering, or a related field, • Strong Python engineering skills with production-quality, typed, and tested code, • Track record productionizing ML models in batch and/or real-time environments, • Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar), • Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM, • Infrastructure-as-Code experience (Terraform or equivalent), • Experience with feature engineering, model lifecycle management, and ML evaluation, • Experience with LLMs, agent frameworks, or AI orchestration systems in production, • Familiarity with prompt management, tool calling, evaluation, and AI safety patterns, • Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance, • Experience with claims data, EHR-derived datasets, or real-world evidence We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides: • Venture track record: A proven track record of success in building biotech and healthcare companies, • Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth, • Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent, • Expert network: Established connections across pharma, payers, and providers Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.

The moment Consulting is being agentified. The $300B insights industry is about to be rebuilt by AI agents that don't just report what happened — they tell brands what to do next and execute it. Most firms are still figuring out how to use ChatGPT for email. We've already built the agents. Hotspex has spent 25 years measuring what the world's biggest brands make people feel — over 1M interviews, 800+ brands, 33 countries, validated at P&G, Coca-Cola, Unilever, RBC, TELUS. Now we're weaponizing that dataset with AI. Every methodology we've built is becoming an autonomous agent. Every deliverable is becoming a living product. Every client interaction is becoming an intelligent system. This is the Agentification of Consulting — and we're riding the front of the wave. We need a Full Stack Engineer in Toronto who wants to build what comes next. What you'll build You won't be maintaining someone else's codebase. You'll ship enterprise-grade AI products to Fortune 100 CMOs — and you'll see your work in boardrooms within weeks, not quarters. → Agent-powered brand intelligence platforms — autonomous systems that ingest research data, generate strategic recommendations, and deliver them directly to the world's largest advertisers → Top of Model™ — our proprietary platform measuring how brands rank inside ChatGPT, Claude, Gemini, and Perplexity. We're defining an entirely new category of brand measurement for the AI era → BrandSpace — a self-serve SaaS platform putting 25 years of enterprise-grade emotional brand science into the hands of every marketer → MCP server integrations and agentic tool chains — exposing our Human Motivation Framework as API-accessible AI tools that plug into Claude, Adobe, and enterprise martech stacks → Client-facing interactive products — brand simulators, revenue growth models, and AI-powered proposal systems that win seven-figure engagements Who you are You're a builder, not a ticket-taker. You can go from a rough CEO brief on Monday to a shipped product by Friday. Specifically: • Full-stack fluency — React, Node, Python, modern deployment (Vercel/Netlify, Supabase, serverless). You own the whole surface from UI to infrastructure, • AI-native — you've built with Anthropic and OpenAI APIs, you understand tool use, embeddings, MCP, and agentic workflows. You don't just prompt — you architect systems around LLMs, • Claude Code proficiency is essential — we build with it daily and we'll want to see examples of what you've shipped with it, • Genuinely interested in marketing and brand strategy — you want to understand why a campaign moves a brand, not just render the dashboard. The best code at Hotspex is written by people who understand the business problem, • Product-minded — you think in user outcomes, not tickets. You push back on bad specs and propose better solutions, • High ownership, low ego — direct access to the CEO, the IP, and the clients means you'll have outsized impact and outsized accountability Why this role is rare 💰 Stock options — you'll have equity upside in a company that's been profitable for 25 years and is now scaling its AI product suite into a category-defining SaaS business 🏢 Toronto-based, on-site — we believe the best products get built by people in the same room solving hard problems together. Being in Toronto is key — this is a hands-on, high-trust, high-speed environment 🚀 Fortune 100 clients from day one — your code ships to RBC, global CPG, major broadcasters, and government. Not a pre-revenue pitch deck 🤖 AI isn't a feature — it's the entire product thesis — every tool, methodology, and deliverable at Hotspex is being agentified. You'll be at the centre of that transformation 📐 25 years of proprietary IP — you're not starting from zero. You're building on top of the Human Motivation Framework — 177 personality attributes, 96 emotions, 8 motivational zones — a dataset most AI startups would kill for 🎯 No four-layer product org — you'll work directly with the CEO, strategists, and clients. Your decisions ship Qualifications • Proficient in front-end development: HTML, CSS, and modern JavaScript frameworks (React preferred), • Skilled in back-end development: server-side languages, database management, API design, • Proven full-stack delivery — end-to-end ownership from architecture to deployment, • Strong experience with Claude Code — show us what you've built with it, • Familiarity with cloud platforms, DevOps tooling, and CI/CD pipelines, • Experience with agile workflows and Git-based version control, • Excellent problem-solving instincts with a bias toward performance and scalability, • Strong communication skills — you'll present to clients, not just commit to repos, • Bachelor's degree in Computer Science, Software Engineering, or related field preferred — but shipped work matters more than credentials How to apply Send a short note and your best work to — GitHub repos, shipped products, side projects, agent builds. If you've built something AI-powered that actually works in production, lead with that. We're 25 years old and moving faster than any startup. Come build the next chapter. • hotspex.com

About the Role As a Senior Forward Deployed Engineer (Sr. FDE) at Uniphore, you will take technical ownership of strategic AI solution deployments and lead the architecture, prototyping, and delivery of customer-specific applications on our Agentic AI platform. This role demands a deep technical skillset, sharp solution thinking, and the ability to guide both customers and internal teams through complex, high-stakes AI projects. You're not just coding - you're solving some of the most exciting challenges and problem solving in enterprise AI rollout, spanning enterprise data pipelines, multi-agent orchestration/workflows and RAG/SLM finetuning. Responsibilities • Lead the technical solution design and implementation of large-scale Agentic and Knowledge AI solutions for key enterprise clients., • Act as the primary technical point of contact during solution development and post-deployment optimization., • Own and execute projects end-to-end: from integration design to agent workflows and full-stack delivery., • Customize platform components as needed—integrating new APIs, building reusable tooling, or extending platform logic., • Collaborate closely with cross-functional teams internally and with customers to ensure solution success., • Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points., • Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation., • Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents., • Undergraduate, master’s degree or Phd in Computer Science or Data Science, • 6–10+ years of experience in engineering, with 2+ years in customer-facing or field roles., • Proven success building and deploying AI/ML or data-intensive applications in production., • Deep full-stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD)., • Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc)., • Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI), • Knowledge of SLM Finetuning and Distillation is big advantage., • Experience and knowledge of Agentic development platforms and experience building and delivery enterprise agentic solutions is a huge advantage., • Ability to translate ambiguous customer needs into actionable engineering plans., • Strong leadership, mentoring, and project ownership abilities., • Excellent communication and collaboration across technical and business stakeholders.

Job Description We are seeking a highly skilled, motivated and proactive ML Research Engineer to join our dynamic team. In this role, you will be responsible for building and optimizing complex simulation environments to facilitate the training of machine learning models. The ideal candidate will have a strong background in programming, modelling and machine learning, with optional expertise in reinforcement learning. Salary: £48,000 to £58,000 About Aeris Aeris-UK is an applied AI company working on real-world problems that require creativity, rigour and solid engineering. We build machine learning systems that are efficient, understandable and ready to operate in the complexity of real environments, whether that involves supporting infrastructure resilience, enabling autonomous decision-making or developing tools to help people reason under uncertainty. Our projects are practical in focus but intellectually demanding, drawing on ideas from simulation, human-AI interaction, multi-agent learning and model-based reasoning.We are a small team with a strong research culture and a shared interest in solving meaningful and challenging problems. Everyone contributes directly to project work, and we collaborate across disciplines, whether your background is in reinforcement learning, software engineering, probabilistic modelling or systems design. We often work in partnership with researchers, government teams and other specialists, so communication and openness are important in everything we do. As a team, we value clarity over hierarchy and experimentation over perfection. We are growing steadily and carefully, with a mix of longer-term research and near-term applications. For someone who wants breadth, ownership and exposure to challenging applied research, this offers the chance to work across technical boundaries and influence how we grow. What you’ll be doing This may include: · Developing and implementing complex simulation environments to support machine learning model training. · Collaborating with clients and stakeholders to understand requirements and design simulation scenarios aligned with real-world applications. · Applying expertise in modelling to create realistic and scalable simulations. · Carrying out data science activities, including data exploration and analysis, to inform simulation design and model training strategies. · Designing and implementing machine learning models, with a focus on both supervised and unsupervised learning techniques. · Exploring and implementing reinforcement learning algorithms, with a preference for experience in multi-agent environments. · Developing and integrating physics or engineering models into simulation environments to enhance realism and accuracy. · Applying your strong software skills, including proficiency in Python and ideally another programming language. · Applying DevOps processes to ensure seamless integration of ML training pipeline. · Taking ownership of defined technical workstreams, breaking down ambiguous problems into practical next steps, and helping the team identify risks, blockers and opportunities. Who we’re looking for Someone with many of the following: · Master’s degree in Computer Science, Machine Learning or any related field. · Proven experience in programming with Python and familiarity with at least one additional programming language. · Demonstrated experience in simulation and machine learning. · Familiarity with or experience in agile project management methodologies. · Strong understanding of data science principles, including data exploration and analysis. · Proficiency in developing and implementing machine learning models, both supervised and unsupervised. · Familiarity with model development, such as physics or engineering models, for integration into simulations. · Good software development and debugging skills. · Experience with DevOps practices for efficient integration and deployment. · Optional: Experience in reinforcement learning, especially in multi-agent environments. · Evidence of taking ownership of technical tasks or workstreams, proposing sensible next steps, and communicating risks, trade-offs and progress without needing close supervision. · Comfortable working in a small team where engineers are expected to show initiative, lead on tasks when appropriate, and contribute ideas to project direction rather than waiting for fully specified instructions. What we can offer you The Aeris team comes from different personal, professional and organisational backgrounds. We are driven by a deep intellectual curiosity that powers us forward each day. You’ll learn something new from people you meet and also have the opportunity to make your mark on a growing start-up. Some of our benefits: · Flexible working: We believe people have different responsibilities and interest that require something different to a strict working day. We trust our people to organize for their own work. · Remote working but with the opportunity to work together weekly (if in London). · Generous pension: 8% employer salary contribution if employee pays at least 5% contribution; 5% employer contribution otherwise. · Optional private health insurance · Eye tests and contribution towards cost of corrective lenses. · Life insurance, critical illness protection (optional) and income protection. · Social events: We have frequent socials and informal get-togethers to help make sure you enjoy your time with us. · Professional memberships (with qualifying body). If you are passionate about pushing the boundaries of machine learning research and have the skills to contribute to our innovative projects, we invite you to apply and join our forward-thinking team.

AI Engineer Location: London (Onsite - 5 days per week) Type: Permanent Salary: £200,000 + generous equity package Interview Process: 2-4 stages I'm hiring for two YC-backed startups building foundational AI infrastructure - one focused on advancing reasoning capabilities, the other on streamlining how teams deploy and monitor models in production. What we're looking for: • Strong academic background in Computer Science, Mathematics, or related field, • Founding engineer mindset with ownership mentality, • Series A-C scale-up experience (ideally in fast-growth environments) Role 1: AI Engineer • Expert-level Python with exposure to frontend technologies (TypeScript/React preferred), • Hands-on experience with LLMs, prompt engineering, and evaluation frameworks, • Ability to ship AI-powered features end-to-end, • Minimum 3 years of experience Role 2: Applied AI Engineer • Strong backend engineering experience (Python preferred), • Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows, • Experience building RAG pipelines and AI agent orchestration systems, • Minimum 5 years of experience 📩 Interested? Message me here or email

Job Title: Front End Engineer - AI Location: Remote / Onsite / Hybrid Job Type: Full-time / Contract About the Role We are seeking an experienced and forward-thinking Front End Engineer to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of GenAI-powered agentic systems that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You’ll serve as the technical lead within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts. Key Responsibilities • Own the technical design and architecture of GenAI agent workflows within the Business Pod, • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools, • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices, • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns, • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI, • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution, • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues, • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic, • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques, • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling, • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback, • Contribute to the automation of testing, deployment, and validation pipelines for AI agents, • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions, • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration, • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar, • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory, • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks, • Solid foundation in distributed system design, including state management, retries, error handling, and resilience, • Experience with business process automation or workflow automation in real-world environments, • Comfortable working with SQL/NoSQL databases, including data modeling and validation, • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP), • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration, • Exposure to multi-agent patterns (e.g., supervisor-worker, planner-executor, judge-critic) is a strong plus Nice to Have • Contributions to open-source agent frameworks or AI tooling., • Experience working with observability and monitoring tools to track agent performance., • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

Job Title: AI Engineer Location: Remote / Onsite / Hybrid Job Type: Full-time / Contract About the Role We are seeking an experienced and forward-thinking AI Lead Engineer to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of GenAI-powered agentic systems that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You’ll serve as the technical lead within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts. Key Responsibilities • Own the technical design and architecture of GenAI agent workflows within the Business Pod, • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools, • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices, • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns, • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI, • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution, • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues, • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic, • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques, • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling, • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback, • Contribute to the automation of testing, deployment, and validation pipelines for AI agents, • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions, • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration, • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar, • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory, • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks, • Solid foundation in distributed system design, including state management, retries, error handling, and resilience, • Experience with business process automation or workflow automation in real-world environments, • Comfortable working with SQL/NoSQL databases, including data modeling and validation, • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP), • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration, • Contributions to open-source agent frameworks or AI tooling., • Experience working with observability and monitoring tools to track agent performance., • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

KPMG Microsoft Business Solutions At KPMG Microsoft Business Solutions (MBS), we implement best-in-class solutions across the Microsoft technology stack. We combine deep functional, industry and technology expertise to help our clients transform how they operate, innovate and make decisions. Our solutions span Dynamics 365, Microsoft 365, Power Platform, Copilot and Agent technologies, Microsoft Fabric and Azure, enabling us to deliver connected, intelligent and responsible business solutions at scale. The Role: Microsoft Agentic Data Lead – Microsoft Business Solutions (MBS) The Microsoft Agentic Data Lead is a senior leadership role responsible for defining, leading and growing KPMG UK’s Microsoft Agentic Data capability. This role sits at the intersection of Data, AI, Power Platform and Dynamics 365, with a clear mandate to help clients realise value from the Microsoft platform through modern data foundations and innovative agentic solutions. The successful candidate will own the end-to-end Microsoft agentic data vision across both Pre-Sales and Delivery, working closely with Business Development, Microsoft field teams and KPMG delivery teams to build a strong pipeline, shape market-leading propositions and ensure high-quality execution. Responsibilities: · Define and lead KPMG UK’s Microsoft Agentic Data strategy across data foundations for AI, Power Platform and Dynamics 365. · Lead and grow the Microsoft Agentic Data team, providing technical direction, coaching and governance across Pre-Sales and Delivery. · Act as the senior Microsoft data authority across complex client engagements. · Partner with Business Developers to build and secure a sustainable pipeline of Microsoft data and AI work. · Lead senior client conversations on data-led AI and agentic transformation using Microsoft technologies. · Design and oversee end-to-end Microsoft architectures spanning Fabric, Azure data services, D365, Power Platform and Copilot. · Ensure delivery quality, consistency and scalability across all Microsoft data and agentic engagements. · Work closely with Microsoft product, engineering and field teams on roadmap, co-sell and innovation initiatives. · Provide thought leadership on agentic AI, data platforms and responsible AI governance. Required: · Extensive experience in Microsoft Data technologies within consulting or large enterprise environments. · Proven leadership experience in data architecture, technical leadership or capability lead roles. · Deep expertise in Microsoft Fabric, Azure Synapse Analytics and Power BI. · Exposure to Microsoft Foundry, Fabric Data Agents and Microsoft IQ (including Fabric IQ, Foundry IQ and Work IQ) capabilities. · Strong understanding of Dynamics 365 CE/F&O, Power Platform and Microsoft (Agentic) AI solutions. · Experience operating across both Pre-Sales and Delivery. · Strong commercial and stakeholder management skills. · Solid understanding of AI and agentic patterns within the Microsoft ecosystem. Desirable: · Experience with Azure Databricks, Azure Data Factory and Azure Data Lake. · Knowledge of Microsoft Purview for data and AI governance. · Experience working with Microsoft product or field teams. · Background in regulated or data-intensive industries. The Person: · A credible senior leader with strong presence and communication skills. · Strategic, analytical and delivery-focused mindset. · Ability to explain complex concepts to technical and non-technical audiences. · Strong collaborator able to influence across a matrixed organisation. · Commercially aware with a strong sense of ownership and accountability. · Adaptable and comfortable operating in a fast-evolving technology landscape. · Willingness to travel as required.

Job Description: This is not a slide-making or prompt-engineering role. We are looking for someone who has built multi-agent AI systems that run in production - not demos, not pilots that died after a sprint. You will anchor AI delivery programs end-to-end, work directly with global clients, and stay sharp on a field that changes every few weeks. You will report into and replicate the function of a senior AI delivery leader - which means you need both the depth to architect solutions and the presence to walk a CXO through what you built and why it works. Delivery & Architecture • Own end-to-end delivery of AI-native programs - from architecture through production deployment, • Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalent, • Integrate agent systems with enterprise surfaces: APIs, ERPs, CRMs, data platforms - not toy datasets, • Define agent topology: tool routing, memory strategy, state machines, fallback handling Agentic Coding & Development • Run agentic coding workflows using Claude Code, Cursor, OpenAI Codex, or equivalent CLI tools, • Lead projects where AI writes significant portions of the codebase - and you guide, review, and ship it, • Work with CLAUDE.md, shared context frameworks, and multi-session agent setups for team use, • Debug non-deterministic agent outputs systematically - not by gut feel Client & Stakeholder Engagement • Translate business problems into agent architectures for global CXO-level stakeholders, • Run discovery workshops, solution reviews, and delivery cadences with client teams, • Prepare and present technical proposals, POC plans, and roadmaps - own the story end-to-end Team & Practice • Mentor junior AI engineers; raise AI engineering quality across the delivery team, • Stay current: evaluate new models, frameworks, and tooling before the hype catches up, • Contribute to internal knowledge bases, reusable frameworks, and accelerators Skills Agent Orchestration LangChain, LangGraph, CrewAI - not just conceptual Agentic Coding Tools Claude Code CLI, Cursor, OpenAI Codex, Copilot RAG & Vector Stores Chroma, Weaviate, Pinecone - knows where RAG breaks LLM APIs & SDKs Anthropic, OpenAI, Gemini - prompt design, tool use Python / TypeScript Primary languages for agent + backend development LangSmith / Observability Tracing, evaluation, debugging agent runs Cloud Platforms Azure, AWS, GCP (at least one) - deployment, infra, managed services API & System Integration REST, gRPC, Kafka - enterprise integration patterns MCP / Shared Context Model Context Protocol, CLAUDE.md, Beads Agent Evaluation Testing non-deterministic outputs, guardrails, evals CI/CD & DevOps Git, containers, pipelines - agents need to ship Client Communication Can present architecture to a CXO without jargon What You Must Have Actually Done Not just what you know. What you have shipped. • Deployed 2–3 agent-based systems in production - stateful, multi-step, real users, • Used LangGraph for multi-agent orchestration with memory, tool routing, and state management, • Built projects where AI (Claude Code, Codex, Cursor) wrote significant portions of the code, • Implemented RAG pipelines end-to-end - chunking, embedding, retrieval, re-ranking, evaluation, • Integrated agents with real enterprise APIs - not just OpenAI playground or sample data, • Debugged a production agent failure - and fixed it without blaming the model, • Can articulate when NOT to use agents - that is how we know you have built things, • Experience with Claude Code CLI in team environments (CLAUDE.md, shared context, multi-session flows), • Familiarity with LangSmith for agent tracing, evaluation pipelines, and debugging at scale, • Has shipped something using MCP (Model Context Protocol) or similar shared-context tooling, • QA/testing mindset for agents - systematic evaluation of non-deterministic outputs, • Background in IT services or consulting - managing client expectations while building, • Experience with SLMs, fine-tuning, or on-device/edge agent deployment

About Indicium AI Indicium AI was Anthropic’s first European launch partner - and sits among a handful of organisations globally trusted by Anthropic to deploy Claude at enterprise scale. We are also one of the first four OpenAI partners in the UK, and Databricks Ventures has invested in our business and holds a seat on our board. Our engineers have access to the latest AI tools and models, partner technical teams, and early capability previews that the wider market does not. We are deploying production AI systems into the world's most complex organisations across Financial Services, Energy, and Healthcare. We exist to make AI a genuine competitive advantage for our clients, not in a presentation but in production. We invest seriously in our people. Every FDE at Indicium AI has access to Anthropic training, and a flexible learning budget to go with it. All of our staff are equipped with Claude licenses for Chat, CoWork and Claude Code. We are building a team of engineers who are at the frontier - and we support that with the investment to match. The Role AI is not just changing what software can do - it is changing how software gets built. The best engineering organisations in the world are rewriting their operating models around AI native development: Claude Code in every workflow, agents across the SDLC, and a fundamentally different relationship between engineers and the tools they use. Most enterprises know this matters. Very few know how to make it work. The Forward Deployed Software Engineer at Indicium AI embeds directly with client engineering teams to transform how they build software. You do not wait for a brief. You watch how a team actually works, find the problems they have not articulated yet, and ship the changes that make AI native engineering real - not as a presentation, but in their daily workflows and production pipelines. This is a role for an experienced software engineer who is passionate about how AI is transforming the craft of software engineering. You will help organisations redesign their engineering capability - from how they use Claude Code and agentic tooling, to how they structure teams, review code, test, and ship. Then you will co-engineer alongside their teams to integrate these new ways of working into their product engineering workflows. You will lead engagements at some of the most complex organisations in the UK. Technically, commercially, and in the room with engineering leaders who have built serious systems and are not easily impressed. What You Will Do • Lead engagements that transform how enterprise engineering organisations build software - from discovery and assessment through to embedded co-engineering and operational handover, • Design and implement AI native development workflows: Claude Code integration, agentic coding assistants, AI-augmented testing, automated code review, and intelligent CI/CD pipelines, • Define and roll out operating models for AI native engineering across client organisations - covering tooling, process, team structure, and best practice at scale, • Co-engineer with client product engineering teams, working shoulder to shoulder to integrate new ways of working into their existing codebases and delivery cadence, • Own the client technical relationship at senior engineering leadership level - you are the person the VP Engineering or CTO calls, not one of the people copied on the email, • Navigate organisational complexity - procurement, security, resistant teams, shifting priorities - without losing delivery momentum, • Identify and shape new opportunities within existing client relationships - commercial awareness is part of the role, not separate from it, • Codify repeatable patterns and playbooks for AI native engineering transformation that let the practice scale beyond individual engagements, • Mentor engineers on your engagements and raise the bar for the practice through knowledge sharing, • Work alongside Anthropic field teams on joint client engagements - representing Indicium AI at the highest level What We Are Looking For • 5+ years as a software engineer with strong production experience - you have built and shipped real systems, not just advised on them, • Deep passion for how AI is transforming software engineering - you are already using Claude Code, Copilot, or agentic development tools daily and have a clear view on where this is heading, • Experience in a client-facing technical role - forward deployed engineering, technical consulting, solutions architecture, or engineering leadership with external stakeholders, • Strong proficiency in modern software engineering stacks - Python, TypeScript, or Java - with comfort across cloud platforms (AWS, Azure, GCP), • Experience driving engineering process change or transformation within organisations - you have helped teams adopt new tools, practices, or ways of working at scale, • Genuine enterprise experience - you have navigated the realities of large engineering organisations: legacy systems, compliance requirements, multi-team coordination, and stakeholder management, • High agency - you do not wait to be told what to do in an ambiguous situation, you make a call, communicate it, and deliver, • Vertical depth in at least one of Financial Services, Energy, or Healthcare - enough to be a credible peer, not just a technology generalist Nice to Have • Experience with MCP server development, Claude Code enterprise deployment, or AI agent integration into development workflows, • Track record of defining engineering best practice or developer experience within a scaling organisation, • External presence - writing, speaking, or community contribution in the software engineering or AI tooling space, • Experience working alongside or within partner ecosystems such as Anthropic, Databricks, or AWS Why Indicium AI Access to leading AI Labs: Anthropic’s first European launch partner. One of the first four OpenAI UK partners. Databricks Ventures invested and on our board. Our engineers work with capabilities before the wider market does and work jointly with teams from leading AI Labs on customer delivery. We are builders: We embed, we architect, we build - and we stay until it works. Our engineers make real decisions on live systems, for clients in industries where getting it wrong has consequences. There are no layers between you and the work. Problems worth solving: No two engagements are the same. The variety and complexity of enterprise AI problems at Indicium AI is something a product company simply cannot offer. If you want engagements that test every dimension of what you can do, this is where they are. Investment in staying at the frontier: The best engineers we know are relentlessly curious - and we build an environment that supports learning and growth. Every engineer has access to leading AI training and tools, career development pathways, and a flexible L&D budget. We think that’s how it should be.

CHEQ is the Intelligence Standard for the Human-AI Era, trusted by over 15,000 customers worldwide to confidently engage, transact, and thrive in this new era of digital transformation. Powered by award-winning cybersecurity technology, CHEQ offers the only integrated Traffic, Threat, and Identity Intelligence Engine - enabling companies to distinguish between legitimate users and bad actors (human, AI agent, or bot) and deliver granular, context-specific insights in real-time to marketing, commerce, and security platforms. We are a fast-paced, global company with offices in Tel Aviv, New York, London, and Tokyo. Every person on our team plays a meaningful role in shaping our product and our future. About the Role We are looking for a smart, curious, and ambitious Revenue Strategy & Operations (RSO) Analyst to join our team initially for a six-month period to cover a maternity leave. This isn’t a back-office reporting role. It’s a front-row seat to how a fast-growing, global technology company operates - and a genuine opportunity to help shape it. Reporting to the Senior Director, Head of Revenue Strategy & Operations, you will sit at the intersection of data, strategy, and execution, working across Go-to-Market and Finance teams to drive the decisions that move the business forward. You will represent the RSO team in London, as the rest of the team is distributed globally. You’ll need to be comfortable working virtually, building relationships across time zones, and hitting the ground running without in-person onboarding. We’ll set you up for success - but we’re also looking for someone who’s curious enough to proactively seek out information. You’ll start by supporting existing workflows and taking on ownership progressively as you build context and confidence in the role. We’re looking for someone who wants to grow into a true strategic partner: someone who asks why, challenges assumptions, and actively uses emerging tools - including AI - to find smarter, faster ways of working. If you’re early in your career, technically strong, and hungry to make an outsized impact, this is your role. What You’ll Do? You’ll begin by supporting established workflows and taking on increasing ownership as you build context across the business. Over time, you’ll become the go-to person for many of these areas. Responsibilities include: • Own and support company-wide revenue forecasting rhythms through modeling, • Support executive and board-level reporting, including quarterly board deck, management meeting decks, and town hall preparation, • Support go-to-market planning and analysis - including territory management, ICP scoring and model iteration and pipeline generation reviews, • Serve as the first point of contact for the EMEA/APAC field team on deal desk queries, tool support, and general operational questions - triaging, resolving, and escalating where needed, • Maintain data integrity across our CRM and reporting stack - identifying anomalies, enriching records, and ensuring the business is always working from clean, reliable data, • Experiment with AI and automation tools to build smarter, faster workflows across the operations function, • Act as a proactive analytical partner to stakeholders across Sales, Marketing, Finance, and Customer Success - translating data into clear recommendations and helping the business move faster Who You Are? You’re early in your career but you operate like someone who’s been around longer. You don’t wait to be told what to do - you identify the problem, propose the solution, and get moving. You’re as comfortable building a forecasting model as you are presenting your findings to the CFO. And you’re the kind of person who gets genuinely excited about figuring out how AI can make a process 10x better. You want to become a world-class strategic operations professional. This role is your starting point. Requirements: • 2 - 4 years of experience as a Business Operations, Revenue Strategy and Operations, Data Analyst, or similar role - the CV matters less than what you’ve built and how you think, • Hands-on Salesforce experience (must) - not just as a user, but as someone comfortable with admin-level tasks: managing data integrity, building reports and views, maintaining objects and fields, and making the CRM work for the business, • Experience with BI tools (Tableau, Power BI, Looker, or similar), • Strong financial and analytical modelling skills - you build models in Excel or Google Sheets that are accurate, sustainable, and easy to understand, • Exceptional communicator - you write and speak with clarity, know how to tailor a message for a CFO versus a sales rep, and can turn complex analysis into presentations that make the insight impossible to miss, • Bias to action - you lead with solutions, move fast, and don’t get stuck waiting for perfect information, • Genuinely curious - you dig into problems until you understand them, and you’re always looking for a smarter way, • Ambitious - you’re not looking for a job, you’re looking for a career, and you’re motivated by the opportunity to grow into a strategic partner within the business, • Self-sufficient and comfortable working as the sole UK team member within a globally distributed team - you don’t need someone sitting next to you to get up to speed or get things done, • Strong SQL skills - comfortable querying, transforming, and sense-checking data without hand-holding, • Experience with or enthusiasm for AI tools and workflow automation Nice to Have • Background in SaaS, AdTech, MarTech, or Cybersecurity, • Exposure to revenue forecasting, • Experience working in a fast-scaling or global environment

About the job Company Description Our client is a leading advisor in the investment and funding of UK living assets, including build-to-rent (BTR), co-living , affordable housing, multifamily, single-family, and later living developments. The company focuses on delivering tailored investment solutions to meet the unique needs of clients in the housing sector. Partnering with investors and developers, our client plays a pivotal role in shaping innovative housing projects and long-term investments across the UK. They are committed to the creation of sustainable, profitable, and impactful living solutions. Role Description This is a full-time on-site role based in London for an Investment Agent. The role involves identifying real estate investment opportunities, conducting market research and financial analysis, fostering relationships with investors and developers, and managing transactions. Responsibilities also include preparing detailed investment proposals, maintaining industry expertise, and collaborating with partners to achieve transaction objectives. The Investment Agent will be instrumental in ensuring seamless execution of projects and delivering value to clients through strategic investment guidance. Qualifications • Strong understanding of real estate investment, funding strategies and structures, • Knowledge of UK linvestment and ideally (but not essential) the living markets (e.g., BTR, co-living, Affordable Housing)., • Proficiency in market research, financial analysis, and preparing investment proposals., • Excellent interpersonal and communication skills, with experience in building and maintaining professional relationships., • Proven ability to effectively manage multiple projects and meet deadlines in a fast-paced environment., • Analytical mindset, attention to detail, and a strong commitment to delivering quality outcomes., • Bachelor’s degree in Real Estate, Business, Finance, Economics, or a related field., • c2 years experience in real estate investment and/or development.

About Our Restaurant and Bar Din Tai Fung is an award-winning Taiwanese brand with 170 locations worldwide, renowned for our iconic Xiao Long Bao Soup Dumplings—a dish so beloved, guests travel from all over the globe to experience it. We are passionate about crafting unforgettable dining experiences, ensuring every guest feels valued and delighted. We are excited to invite you to be part of Din Tai Fung, where your career can thrive in an environment focused on growth, recognition, and a true sense of belonging. We’re currently hiring for our locations in Central London, offering you the opportunity to join an iconic global brand and grow with us as we expand across the UK. What are we looking for? We’re on the lookout for a hands-on, commercially minded Finance Manager to join our growing hospitality group in the UK. This is a standalone role ideal for someone who thrives in a fast-paced environment and enjoys being closely involved in business operations, reporting, and strategy. You'll be the key finance lead in the UK, working in partnership with our outsourced accounting firm, leadership team, and Group HQ in Singapore. Key Duties and Responsibilities Financial Management & Reporting • Oversee & review work done by outsourced accounting firm., • Review financial reports – P&L, Balance Sheet, Trial Balance, schedules etc, finalise with outsourced accounting firm, close the monthly accounts timely and release the reports to the stakeholders., • Ensure timely preparation & submission of monthly financial & management reporting, Group reporting pack in accordance with Singapore requirements., • Ensure timely preparation and circulation of meeting material., • Analysis of variance, year-on-year and against budget., • Liaise with outsource accounting firm on the accounts matters e.g. AP, AR., • Ensure timely supplier payment to ensure smooth business operations, revenue collection and costing of inventory., • Manage credit controls & monitor aged debtors., • Prepare monthly Intercompany Reconciliation Report, • Develop and manage annual budget & forecast with various stakeholders., • Working capital cashflow - Monitor cashflow and working capital to ensure liquidity to support business stability., • Prepare and manage cash flow forecast and ensure adequate cash balances., • Liase with banks on matters relating to account opening, updates of bank signatories, bank facilities etc., • Monitor and control costs: Evaluate and manage food, beverage, labor, overhead costs and capex to ensure they align with budgets/ approved amount and maximize profitability., • Cost efficiency improvements: Identify opportunities for cost savings, negotiate with suppliers, and implement efficiencies across restaurant operations., • Liasie with external auditors on the company audits matters and ensure timely submission of audited reports to Group., • Review audit pack prepared by outsourced accounting firm to ensure accurate financial reporting., • Assist auditors on corporation tax related queries and other queries., • Liase with tax agent to ensure tax compliance with tax regulations (VAT, PAYE)., • Review VAT reports and final confirmation for filling., • Ensure compliance with industry regulations and financial policies., • Ensure day-to-day and long-term compliance with Group policies and procedures., • Support growth initiatives: Provide financial input for strategic decisions like expansion, new site openings, and investment opportunities., • Daily sales reporting to senior management., • Weekly reporting/ update with key commentary to Financial Controller., • Liase with corporate secretary and coordinate company secretarial matters., • Involve in system implementation & process improvements., • Assist on ad-hoc projects, assignments and reporting. Requirements • ACCA or CIMA qualified, with at least 3 years’ experience in a similar finance role, • A background in hospitality is highly desirable., • Bachelor’s or Master’s degree in Finance, Accounting, or a related field, • Strong in financial reporting, budgeting, and compliance, with a sharp eye for detail and accuracy, • Skilled at producing clear, insightful reports for senior leadership and supporting strategic decisions, • A collaborative and dependable team player who builds strong relationships across all levels, • Adaptable and hands-on, comfortable working at both operational and board levels, • Excellent communicator, with the ability to explain complex financial matters clearly, • Acts with integrity, professionalism, and discretion at all times NOTE: The duties entailed in this job are set out in this job description; however, at times, you may be required to undertake additional or other duties as necessary to meet the business's needs. What We Offer • Competitive Pay: £50000 + Bonus, • Working Hours: Full time for 40 hours per week, • Location: Central London (on-site) Employee Benefits • 30% off dining at Din Tai Fung UK restaurants, • Dining gift voucher on your work anniversary, • Nutritious meals provided during your shifts, • Personalised development plans and clear career progression within a fast-growing restaurant group, • Paid Holidays: Start with 28 days per year, rising to 32 days with continued service, • Access to Employee Assistance Program and Financial Advice, with free counselling sessions for you and your family, • Monthly treats, team activities, and employee referral bonus and other exciting employee perks and rewards for your hard work

About Indicium AI Indicium AI was Anthropic’s first European launch partner - and sits among a handful of organisations globally trusted by Anthropic to deploy Claude at enterprise scale. We are also one of the first four OpenAI partners in the UK, and Databricks Ventures has invested in our business and holds a seat on our board. Our engineers have access to the latest AI tools and models, partner technical teams, and early capability previews that the wider market does not. We are deploying production AI systems into the world's most complex organisations across Financial Services, Energy, and Healthcare. We exist to make AI a genuine competitive advantage for our clients, not in a presentation but in production. The Role Software engineering is being fundamentally reshaped by AI. The organisations that move fastest to adopt AI native development practices - Claude Code across their engineering teams, agents embedded in their SDLC, new operating models for how engineers and AI tools work together - will have a decisive advantage. Most enterprises know this. Very few have the leadership to make it happen. This is a senior technical leadership role at the head of our Forward Deployed Software Engineering practice. Reporting to the CTO, you will lead a team of Forward Deployed Software Engineers who embed with client engineering organisations to transform how they build software in the age of AI. You will own the practice end to end - the quality of engagements, the playbooks that let it scale, the team you build, and the relationships you hold with clients and partners. This is a role for a true lifetime software engineer: someone who has built and shaped engineering teams, who has likely held CTO or VP Engineering roles, and who is now deeply passionate about how AI is transforming the discipline they have spent their career mastering. You will work directly with client engineering leaders at the most senior level, with Anthropic partner teams, and with Indicium AI leadership to define the direction of our software engineering transformation practice. What You Will Do • Lead, hire, and develop a high-performing team of Forward Deployed Software Engineers - setting a high bar for engineering excellence, client instincts, and delivery quality, • Define and evolve the Indicium AI approach to AI native engineering transformation - covering Claude Code adoption, agentic SDLC tooling, engineering operating models, team structures, and best practice at scale, • Own the technical and operational bar for software engineering engagements - reviewing SOWs, shaping engagement architecture, and ensuring your team delivers lasting capability change in client organisations, • Manage hands-on technical delivery in enterprise - you are comfortable moving fluidly between boardroom conversations with a CTO about engineering strategy and pairing with your team on a client codebase, • Build the playbooks, reference implementations, and repeatable patterns that turn one-off transformation engagements into a scalable practice, • Develop vertical fluency across the team in Financial Services, Energy, and Healthcare - understanding the specific engineering constraints and compliance requirements of each sector, • Partner with Sales to shape pipeline, scope engagements, and identify expansion opportunities within existing accounts, • Work alongside Anthropic field teams on joint engagements - representing Indicium AI at the highest level, • Provide technical mentorship, conduct regular 1:1s, and invest in the career growth of each team member, • Be the external voice of Indicium AI’s software engineering transformation practice - through client relationships, partner engagement, and thought leadership What We Are Looking For • 10+ years in software engineering with at least 4 years in senior engineering leadership - CTO, VP Engineering, Head of Engineering, or equivalent roles where you built and shaped teams, • A true lifetime software engineer - you have written production code across your career, led architecture decisions on complex systems, and built engineering cultures that ship, • Deep passion for how AI is transforming software engineering - you are already using AI native development tools and have a clear, informed view on where the discipline is heading, • A track record of building engineering teams from early stage - hiring, developing, and retaining exceptional engineers, not just managing an inherited organisation, • Experience driving engineering transformation - whether adopting new practices, retooling an SDLC, or scaling an engineering organisation through a step change in capability, • Enterprise credibility - you have worked with or within large engineering organisations and understand the realities of legacy systems, compliance, procurement, and multi-team coordination, • Executive presence - you can hold your own with a CTO or VP Engineering and translate technical strategy into clear narratives for diverse audiences, • High agency and comfort with ambiguity - you have built something from zero before and know what it takes Nice to Have • Former CTO or VP Engineering at a scaling technology company, • Experience in a client-facing engineering role - forward deployed engineering, technical consulting, or engineering advisory, • Experience with Claude Code enterprise deployment, AI agent integration into development workflows, or MCP server development, • External presence - writing, speaking, or community contribution in the software engineering or engineering leadership space, • Experience working alongside or within partner ecosystems such as Anthropic, Databricks, or AWS at a senior level Why Indicium AI Access to leading AI Labs: Anthropic’s first European launch partner. One of the first four OpenAI UK partners. Databricks Ventures invested and on our board. Our engineers work with capabilities before the wider market does and work jointly with teams from leading AI Labs on customer delivery. We are builders: We embed, we architect, we build - and we stay until it works. Our engineers make real decisions on live systems, for clients in industries where getting it wrong has consequences. There are no layers between you and the work. Problems worth solving: No two engagements are the same. The variety and complexity of enterprise AI problems at Indicium AI is something a product company simply cannot offer. If you want engagements that test every dimension of what you can do, this is where they are. Investment in staying at the frontier: The best engineers we know are relentlessly curious - and we build an environment that supports learning and growth. Every engineer has access to leading AI training and tools, career development pathways, and a flexible L&D budget. We think that’s how it should be.

About SHEIN EMEA SHEIN is a global online fashion and lifestyle retailer, providing an extensive range of affordable, SHEIN-branded apparel and products sourced from a global network of vendors. Since our founding in 2012, we have expanded to serve customers in over 150 countries worldwide. Our EMEA headquarters are in Dublin, and we now operate over 15 offices across the EMEA region. At SHEIN, our mission is to make the beauty of fashion accessible to all. Through our industry-leading, on-demand production model, we support a smarter, more future-ready fashion industry that adapts to the changing needs of our customers. Learn more about SHEIN by following us at and . Join SHEIN and be the future! Position Summary We are seeking a proactive and highly organised Fashion Ecommerce Casting Agent to manage and execute model casting across SHEIN’s in-house brands. This role requires strong aesthetic perception, confidence on set, and a clear understanding of how different brand identities translate into casting, styling, and model direction. The role combines strategic talent sourcing with hands-on studio and on-set responsibilities, working closely with creative and production teams in a fast-paced ecomm environment. Responsibilities Talent Management & Casting: • Own end-to-end casting for all studio photoshoots, including e-commerce, social content, editorial, and campaign productions., • Develop a strong understanding of SHEIN’s in-house brands and their distinct aesthetics, customer profiles, and casting needs., • Propose relevant models for each brand on an ongoing basis., • Source, scout, and maintain a diverse and continuously evolving pool of model talent., • Build, expand, and nurture relationships with both local and international model agencies, contributing to the growth and diversification of SHEIN’s model roster., • Expand the London studio’s access to global talent by coordinating with overseas agencies, • Brief models ahead of each shoot, ensuring clear understanding of brand direction, expectations, and deliverables., • Work on casting set to direct models according to brand guidelines, poses, energy, and styling requirements., • Collaborate with stylists and photographers to select appropriate outfits and ensure visual consistency with each brand, maintaining an updated fitting rail., • Monitor model performance and suitability, providing feedback and recommendations for future bookings., • Partner with internal teams to understand shoot requirements and recommend appropriate casting solutions., • Manage casting schedules and calendars to ensure smooth studio operations., • Communicate clearly with models, agencies, and influencers when applicable., • Handle model-related logistics such as call sheets, travel, accommodation, and documentation when required., • Provide ad-hoc support to the Studio Manager and Production team, including covering producer holidays and assisting with sample management when needed., • Maintain accurate casting records and talent databases., • Stay informed on industry trends, emerging talent, and market rates to continuously strengthen casting streamline, • Create reports related to model booking and casting volume Requirements • 2+ years’ experience in fashion casting, model booking, talent management, or a related field, • Strong aesthetic sensibility with the ability to distinguish and execute multiple brand identities, • Confident on-set presence with experience directing models, • Excellent communication, organisation, and relationship-building skills, • Ability to manage multiple priorities and work effectively under pressure, • Knowledge of the fashion and creative industries, • Ability to work independently, • Proficiency in Microsoft Office and booking or talent management tools, • Professional photography knowledge and hands-on experience is a plus, • Proficiency in Chinese is a plus SHEIN is an equal opportunity employer committed to a diverse workplace environment.

Job Title: Asset Management Assistant Location: Nine Elms, SW London Department: Commercial Employment Type: Permanent Contract Salary: Competitive Market Rate Package Hours: 9:00 – 18:00 Monday – Friday About Us: Established in 2017, Excel Winner is leading part of Europe's largest regeneration initiatives. We aim to transform the Vauxhall, Nine Elms, and Battersea Opportunity Area by introducing new homes, creating jobs, and developing biodiverse green spaces. Summary of the Job: The Asset Management Assistant will support the day-to-day operations of the One Nine Elms project, assisting in the overall management of property operations. The role will focus on administrative coordination, financial tracking, and operational support to ensure efficient and compliant asset management. Working closely with Commercial Director, the position will play a key role in maintaining smooth operations, supporting vendor coordination, and enhancing overall performance of the asset. Job Responsibilities: • Assist in the overall operational management of the One Nine Elms project, • Support the management and coordination of the Managing Agent to ensure service delivery standards are met, • Monitor and assist in managing operational budgets, cost control, and expenditure tracking, • Support commercial reconciliation and cash flow monitoring processes, • Handle administrative tasks including documentation, reporting, and record keeping, • Assist in managing defect (snagging) issues, including tracking, coordination, and customer communication, • Support health & safety processes and ensure compliance with relevant regulations, including Building Safety requirements, • Assist in compliance monitoring and reporting to ensure all statutory and internal requirements are met, • Liaise with internal and external stakeholders, including contractors, consultants, and tenants/residents, • Provide general operational support to improve efficiency and effectiveness of asset management activities Job Requirements: • Previous experience in property management, asset management, or a related field is preferred., • Strong organizational and administrative skills with attention to detail., • Basic understanding of budgeting, cost control, and financial reporting., • Ability to manage multiple tasks and prioritise effectively in a fast-paced environment., • Good communication skills, both written and verbal, • Proactive, reliable, and able to work both independently and as part of a team, • Familiarity with compliance, health & safety, or building operations is advantageous., • Proficiency in Microsoft Office (Excel, Word, Outlook); experience with property management systems is a plus., • Fluency in English is essential; proficiency in Chinese is advantageous., • Educational background in Architecture, MEP Engineering, Real Estate Management, or a related discipline is preferred. Please Note: The duties and responsibilities listed in this job description are not exhaustive. The role may require the post holder to undertake additional tasks within the general scope of the position. Such duties should not fundamentally alter the nature of the role. This job description is intended to adapt to the evolving demands of company objectives and priorities. How to apply: If you are a motivated professional with the skills and experience to thrive in this role, we encourage you to apply by submitting your updated CV directly through LinkedIn job post.

A specialist, London-based construction consultancy is seeking a Project Quantity Surveyor to join their expanding team. This is an excellent opportunity for a Project Quantity Surveyor to work across a strong portfolio of residential, mixed-use, commercial, and hotel projects. The Project Quantity Surveyor will play a key role in delivering schemes from inception through to completion, working closely with clients and stakeholders. This Project Quantity Surveyor role offers real ownership, client exposure, and involvement in high-quality, design-led developments. The Project Quantity Surveyor will join a consultancy known for its collaborative approach and strong project pipeline. For a Project Quantity Surveyor looking to step into a more influential role, this opportunity stands out.\n\nThe Project Quantity Surveyor's role\n\nThe Project Quantity Surveyor will be responsible for managing cost and commercial elements across multiple projects. The Project Quantity Surveyor will lead procurement processes, including appointing contractors and consultants, and will take ownership of tender documentation and analysis. As a Project Quantity Surveyor, you will attend and contribute to client and design team meetings, ensuring projects remain on track commercially and programmatically. The Project Quantity Surveyor will also administer contracts, primarily under JCT forms, and support Employer's Agent / Contract Administrator duties where required.\n\nThe Project Quantity Surveyor\n\nThe ideal Project Quantity Surveyor will have 3-6 years' UK experience within a consultancy or client-side environment. A Project Quantity Surveyor should have experience running tender processes and managing procurement. Strong knowledge of JCT contracts is important for this Project Quantity Surveyor role. A degree in Quantity Surveying or a related field is preferred, with MRICS or working towards seen as advantageous. The Project Quantity Surveyor will be confident, commercially aware, and capable of managing responsibilities across multiple projects.\n\nIn Return?\n\n£50,000 - £55,000 salary (depending on experience)\n London-based role with exposure to high-quality projects\n Clear progression and increased responsibility\n Strong pipeline across residential, mixed-use & hospitality sectors\n Collaborative and supportive consultancy environment\n\nProject Quantity Surveyor | Quantity Surveying | Construction Consultancy | JCT | London Jobs\n\n(phone number removed)\n\nReference #DM21947\n\nQuantity Surveyor / Project Manager / Project Management / Employers Agent / Surveying / Construction / Building Surveyor / MRICS / MICOB / MAPM / FRICS / Contract Administration / Associate Director / Construction Consultancy

Wenham Carter is proud to be supporting a global leader in industrial software in the search for a Director, AI Product - Industrial Intelligence & Platform. This is a high-visibility leadership role shaping how advanced AI is embedded across industrial software products used by some of the world’s most critical infrastructure and asset-intensive organisations. You will sit at the intersection of advanced AI capability and industrial product strategy - defining how cutting-edge machine learning and foundation models translate into scalable, safe, and valuable real-world applications. The opportunity This role is responsible for defining and driving the technical truth behind AI-powered products - including model choices, system logic, and AI capability design from early concept through to production. You will play a central role in shaping the AI product vision and roadmap across a global industrial software portfolio, balancing innovation (0→1) with lifecycle product maturity and enterprise-grade deployment realities. This is a rare opportunity to influence how AI is embedded into complex industrial environments at scale. Key responsibilities • Define and own the technical direction (“technical truth”) of AI capabilities across industrial products, • Shape AI product strategy, roadmap, and requirements in partnership with engineering, data science, and product teams, • Translate emerging AI technologies into viable industrial product opportunities, • Drive AI product requirements (PRDs), prioritisation, and architecture decisions based on customer and domain needs, • Evaluate trade-offs across model performance, data constraints, cost, safety, and scalability, • Identify and mitigate technical, operational, and regulatory risks in AI systems, • Define and track AI product metrics to assess performance and inform roadmap decisions, • Ensure AI capabilities are aligned with industrial safety, security, governance, and compliance requirements, • Mentor and guide junior team members and contribute to a culture of innovation and rigour Key requirements • 10+ years of experience in AI/ML product management or technical product leadership, including 6+ years in senior leadership roles, • Strong technical foundation with recent, hands-on exposure to AI/ML systems (including shipping or influencing production systems), • Deep understanding of modern AI paradigms including foundation models, multi-modal systems, agent-based architectures, and RAG approaches, • Strong Python capability and familiarity with modern ML frameworks (PyTorch, TensorFlow, JAX), • Proven experience balancing innovation (0→1) with mature product lifecycle management, • Strong track record operating in complex, regulated, or industrial environments, • Ability to translate AI capabilities into practical, high-value enterprise use cases, • Exceptional communication and stakeholder influence skills across technical and executive audiences, • Master’s degree in Computer Science, Engineering, Physics or related field (PhD preferred) Why this opportunity? This is a chance to define how AI is productised within one of the most important industrial software ecosystems globally. You will not simply be reacting to trends, you will be shaping how AI is evaluated, prioritised, and embedded into real industrial systems where reliability, safety, and performance matter. This is a role for someone who can operate comfortably between deep technical AI understanding and strategic product leadership, and who wants to see their decisions directly influence real-world industrial outcomes at global scale. To stay updated on roles like this, follow me here on LinkedIn and send me a connection request.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more. We have raised over $4M from leading tech investors in addition to being awarded Innovate UK Grants. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. 🔧 What You'll Do We’re hiring a mid-senior (4+ years experience) AI Engineer to help design, build, and scale our production AI systems with ownership from design to deployment. You’ll work end-to-end across Agentic RAG conversational agents, Agent orchestration, fine-tuning models, retrieval pipelines, evaluation frameworks and generating product recommendation for real customer interactions to deliver reliable AI-powered experiences in production. • Design, build, and deploy Agentic AI workflows and RAG-powered applications for real-world use cases, • Develop scalable backend services and APIs powering AI agents and conversational systems, • Build and optimise retrieval pipelines including embeddings, chunking, reranking, memory and vector search, • Collaborate closely with product, design, and engineering teams to shape AI-first experiences, • Integrate LLM systems into user-facing web applications and product features, • Improve response quality, reliability, latency, observability and cost efficiency of production AI systems, • Evaluate new AI frameworks, tools, and orchestration approaches across the rapidly evolving LLM ecosystem, • Influence architecture decisions for scalable, secure, and production-ready AI infrastructure ✅ What We're Looking For Must-Haves: • Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or equivalent practical experience, • 4+ years experience building and deploying production AI applications, • 2+ years experience developing LLM-powered products, conversational AI, RAG systems, or agentic workflows, • Strong Python skills and experience building backend systems and APIs, • Hands on experience building agentic workflows, tool-calling pipelines, and stateful orchestration using frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or similar agent orchestration frameworks, • Strong experience designing and optimising retrieval systems, including vector stores (Pinecone, Weaviate, Chroma), graph-based RAG architectures, hybrid retrieval, reranking, and semantic search pipelines, • Experience with production optimisation for RAG systems, including latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning, • Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing or related field, • Experience with LLM fine-tuning techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), instruction tuning, and parameter-efficient model adaptation workflows, • Experience with evaluation and monitoring frameworks for LLM systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks, • Familiarity with graph databases such as Neo4j or Amazon Neptune, • Experience with recommendation systems, personalisation pipelines or ranking systems, • Experience building modern web applications using Django, FastAPI, React, or similar frameworks, • Comfortable using Docker and containerised development workflows, • Exposure to CI/CD pipelines, infrastructure-as-code, and cloud-native deployment practices 🌱 What We Offer • Competitive compensation (based on experience), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

Wenham Carter is proud to be supporting a global leader in industrial software in the search for a Lead AI Engineer to join a specialist AI Investigation & Incubation team. This is a unique opportunity to work at the intersection of advanced AI research and real-world industrial application, taking emerging concepts and turning them into working, deployable systems that deliver measurable impact. The organisation operates at global scale across energy, manufacturing, and asset-intensive industries, where reliability, performance, and operational feasibility are as important as innovation. The role This is a hands-on technical leadership position focused on exploring, validating, and prototyping next-generation AI capabilities. You’ll be responsible for taking early-stage AI ideas and rapidly turning them into proof-of-concepts and pilots that can be assessed for real-world deployment. Key focus areas include: • Evaluating emerging AI technologies for practical industrial application, • Designing and building prototypes, PoCs, and pilot systems, • Developing, fine-tuning, and benchmarking advanced ML models, • Making architectural decisions around deployment, scalability, and integration, • Assessing solutions across cost, security, reliability, and operational feasibility, • Working closely with cross-functional teams to transition validated work into downstream product paths, • Communicating findings clearly to both technical and executive stakeholders, • Mentoring and supporting junior engineers in the team Key requirements • 10+ years of experience in AI/ML engineering, including at least 4 years in a technical leadership role, • Strong academic background in Computer Science, AI/ML, Engineering, or related field, • Deep hands-on experience with Python and modern ML frameworks (PyTorch, TensorFlow, JAX), • Proven track record delivering complex AI initiatives with tangible outcomes, • Experience working in industrial software, manufacturing, energy, IoT, or other asset-intensive environments is essential, • Strong experience with foundation models, multi-modal systems, agent-based architectures, and RAG techniques, • Ability to translate AI capabilities into real-world enterprise and industrial use cases, • Excellent communication skills, including engagement with senior stakeholders and cross-functional teams Why this opportunity? This is a chance to sit at the forefront of applied AI in one of the most complex and important industrial domains globally. You’ll have the freedom to explore emerging technologies, but also the responsibility to turn them into something real, scalable, and valuable. If you’re excited by building at the edge of AI - and seeing your work move beyond the lab into production environments - this is a rare opportunity to do exactly that. To stay updated on roles like this, follow me here on LinkedIn and send me a connection request.

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

Sales Agent - Eyewear / Sunglasses - Europe. Zest Optical is working in partnership with a premium eyewear brand to recruit a commercially driven Sales Agent to support their expansion across Europe. If you're looking to join a progressive ophthalmic business and develop your career within field sal

A leading home improvements company in the United Kingdom is seeking multiple Marketing Canvass Agents.

What Is a Resolution Field Agent? As a Resolution Field Agent, you will carry out field visits to both residential and commercial properties on behalf of our clients. We are leading the industry with a pioneering self-employed field role and are proud of our inclusive workforce.

This position offers flexible working hours with a guaranteed daily rate ranging from £130 to £150 based on skills and experience. Candidates should possess a full UK driving licence, a ULEZ-compliant vehicle, and demonstrate strong negotiation and communication skills.

VidAlert seeks a self-employed Resolution Field Agent in the UK to carry out field visits for residential and commercial clients.

What Is a Resolution Field Agent? As a Resolution Field Agent, you will carry out field visits to both residential and commercial properties on behalf of our clients. We are leading the industry with a pioneering self-employed field role and are proud of our inclusive workforce.

LifelikeAI is an ambitious and fast-growing AI startup seeking experienced self-employed Sales Agents to introduce its groundbreaking lifelike AI technology to the hospitality and events sectors across the United Kingdom, with scope for international expansion. LifelikeAI is on a mission to transform customer engagement across hospitality, entertainment, education and public services through highly realistic, interactive AI solutions. Designed to look and interact like real people, these custom-built AI systems provide compelling, consistent and round-the-clock customer engagement. Solutions are delivered via web-based platforms or through installed software on leased equipment, with subscription-based pricing models and bespoke arrangements for major events. The company has already secured its first client, established a strong pipeline of leads and is engaged in partnership discussions. With ambitious strategic growth targets for 2026, LifelikeAI is now seeking driven agents to accelerate market penetration within hospitality groups, event organisers, exhibition operators and major sporting events. Ideal applicants will be self-starting sales professionals with experience in hospitality, events or exhibitions, ideally bringing established industry contacts. Integrity is essential, alongside the judgement to manage opportunities appropriately. Agents must be proactive in generating leads through onsite visits and direct outreach, and genuinely enthusiastic about representing an innovative, forward-thinking AI solution. A highly attractive commission structure of 30% is offered on every lead that converts to a sale with excellent recurring income. This is a commission-only position and Field Sales Agents must have a driving licence and a vehicle

Job Title: Sub Agent – Roads and Networks, Location: Hinckley Point C, Somerset About Carmichael Recruitment: Carmichael Recruitment is a specialist recruitment agency supporting the construction and infrastructure sectors. We are known for delivering top-tier professionals for high-profile projects and are proud to play a key role in shaping the future of the UK’s infrastructure. Job Description: We are seeking a highly skilled Sub Agent with experience in roads, networks, highways, and drainage for an exciting role at Hinckley Point C, one of the UK’s most significant and complex nuclear projects. This is an excellent opportunity for engineers with a background in civil infrastructure to work on a cutting-edge, large-scale development. As a Site Engineer, you will be responsible for overseeing the day-to-day operations on site, ensuring quality, safety, and compliance with engineering standards for highways, drainage, and other key infrastructure works. You will work closely with the site management team and ensure that construction activities run smoothly and efficiently. Key Responsibilities: Manage and oversee the construction of roads, highways, and drainage systems on-site at Hinckley Point C. Ensure that all work is completed to the highest quality standards and in line with the project specifications. Provide technical support and advice to the site management team, subcontractors, and other stakeholders. Monitor and ensure compliance with health, safety, and environmental regulations. Supervise the day-to-day site operations and coordinate with surveyors, contractors, and other engineering teams. Perform setting out, surveying, and ensuring accurate construction of roads, drainage systems, and other civil infrastructure. Maintain detailed records, reports, and documentation of work progress and site activities. Address any technical issues or challenges that arise during construction and propose solutions. Liaise with the design team and ensure that designs are adhered to during the construction phase. Requirements: Proven experience as a Sub Agent with a focus on roads, highways, drainage, and civil infrastructure projects. Strong knowledge of civil engineering principles and construction processes. Experience in setting out and working with total stations and other surveying equipment. Familiarity with relevant industry standards, regulations, and health & safety practices. A relevant qualification in Civil Engineering or a related field (Degree/HNC/HND). Previous experience working on major construction projects, preferably in a nuclear, power, or large-scale infrastructure environment. Excellent communication, problem-solving, and organizational skills. Ability to work independently and as part of a collaborative team. A valid CSCS card and relevant safety certifications (e.g., SMSTS or SSSTS). Desirable Skills: Experience working at large-scale construction sites, ideally nuclear or power-related projects. Experience in managing teams of between 12 - 15 people Knowledge of 3D modelling and BIM (Building Information Modelling) would be advantageous. Familiarity with project management software and tools. Full UK driving license. If you are an experienced Sub Agent with expertise in roads, highways, drainage, and civil infrastructure, this is an exceptional opportunity to make your mark on a landmark project

Sales Manager - UK & Ireland Location: London (Home-based / Hybrid) We are partnering with a well-established EMEA-based organisation operating within the hospitality supply sector to recruit a Sales Manager. This is a high-impact opportunity for a commercially driven new-business professional to accelerate growth across a strategically important market. Reporting into a senior EMEA commercial leader, the role will initially focus on the Central London hospitality sector, targeting high-end boutique hotels, luxury independents, and premium regional groups, before expanding wider across the UK & Ireland. The Role This is a home-based, hybrid position, typically working 2 days per week from home and 3 days per week visiting clients across Central London and the surrounding region. You will be responsible for proactively identifying, pursuing, and securing new business opportunities, managing the full sales cycle, and building long-term relationships with senior decision-makers within premium hospitality brands. Key Responsibilities New Business & Pipeline Development Proactively identify and qualify new business opportunities, with an initial focus on Central London high-end boutique and independent hotels Build and maintain a healthy pipeline through targeted outreach, networking, trade events, and account mapping Use market insight and data to prioritise high-value prospectsRelationship Building & Account Engagement Develop trusted relationships with key stakeholders across luxury and boutique hospitality accounts Lead meetings, site visits, calls, and presentations to uncover needs and drive opportunity creation Collaborate internally to ensure effective onboarding and early account successSales Execution & Commercial Growth Own the full sales cycle from first contact through to negotiation and contract close Deliver against annual new business and revenue targets Create tailored commercial proposals aligned to customer needs and brand positioning Ensure structured internal handover and early-stage account performance monitoringMarket Insight & Reporting Monitor competitor activity, market trends, and customer feedback within the premium hospitality sector Provide regular updates on pipeline activity and sales performance Share insights to support regional business planning About You Experience & Background Bachelor's degree in Business or a related discipline 5-10 years' experience in sales or business development, including agent or distributor management Strong understanding of the UK hospitality market, ideally within luxury or boutique hotel environments Existing Central London hospitality network highly advantageous Experience in hospitality or cosmetics is beneficial Confident using CRM, ERP, or BI tools (e.g. Power BI); strong Excel skillsSkills & Attributes Proven new-business "hunter" with a strong track record of closing deals Excellent relationship-building, negotiation, and influencing skills Commercially astute, organised, and strategic Entrepreneurial, resilient, and self-motivated Fluent in English; additional European languages are a plusBehavioural Fit High ownership and accountability Proactive, adaptable, and results-driven Comfortable working independently in a hybrid, field-based role Strong customer-centric mindset with high energy and professionalism Reward Package £40,000 base salary £5,000 car allowance 5% annual bonus (linked to company and individual performance) Additional commission based on new business success Why Apply? This role offers autonomy, flexibility, and exposure to some of London's most prestigious hospitality brands, with the opportunity to shape growth in the Central London luxury and boutique hotel market, and scope to expand influence across the wider UK & Ireland. For a confidential discussion or to apply, please respond via this advert

Empower Advisory UK (a part of the BMD Group based in Australia) is a project management and advisory business that makes large, complex projects simple. Our team is composed entirely of people who have made a career in delivering large, complex projects both here in UK and in Australia and who know how to make projects deliver ahead of time and budget and generate exceptional outcomes. BMD Group is Australia's leading integrated engineering, construction, and urban development business. We are dedicated to powering futures and creating legacies through a commitment to collaboration. Our team is built on the principles of collaboration and sustainability, ensuring the highest standards are met for every project and client. We are looking for a Senior Planner to join our team. The project project you will be working on is for Thames Water and based at either of their sites in Twickenham & North Surrey (Mogden, Hogsmill & Wisley) Job Summary and role description: The Senior Planner is a crucial on-site leadership role responsible for the technical and operational delivery of a construction package at a major regional infrastructure project. This role requires a proven background in large-scale infrastructure projects, with hands-on site management experience and expertise in Primavera P6 for planning, scheduling, and progress monitoring. Key Responsibilities: Project Planning and Controls · Schedule Management: Develop, maintain, and analyse detailed project schedules for the a major infrastructure including resource and cost loading, in accordance with the project's Integrated Work Schedule (IWS). · Progress Monitoring: Regularly monitor and update the schedule to reflect actual progress, identify potential delays or issues, and provide accurate forecasts to the Project Manager. · Reporting: Prepare and issue regular progress reports, including short-term look-ahead plans and variance analyses, for internal and external stakeholders. · Risk Mitigation: Conduct critical path analysis and "what-if" scenarios to identify and mitigate schedule risks and constraints. · Change Control: Support the commercial team with technical input for time-related compensation events under the contract, ensuring all changes are accurately reflected in the P6 schedule. Qualifications: · Bachelor's degree in Civil Engineering, Construction Management, or a related field. · Proven experience as a Project Engineer or Sub-Agent on major infrastructure or water projects. · Demonstrated proficiency in Primavera P6 and MS Office. · Significant main contractor civils experience, with strong knowledge of engineering principles and construction methodologies. · Experience working with the NEC form of contract is essential. · Relevant safety certifications such as SMSTS (Site Management Safety Training Scheme) are typically required. · A full UK driving license is essential. · Strong organizational, leadership, and communication skills. Benefits We believe our people do their best work when they feel supported — personally and professionally. That’s why we offer benefits that go beyond the basics: • grow your career with specialised learning and development programs, • be recognised at our annual employee awards event and through our Thrive reward and recognition platform, • prioritise wellbeing with mental health support and discounted gym access, • support your family with paid parental leave for primary and secondary carers and flexible work arrangements available, • access perks with novated leasing, specialised Power Perks and discounts with hundreds of retailers. Diversity and inclusion We recognise that we are strengthened by diversity, and we embrace differences as an equal opportunity employer providing a flexible and inclusive workplace. So, join our team, be yourself and help us power futures and create legacies. We’re a purpose and values-led business guided by our values of family, empowered, collaborative and driven. For further details on what makes BMD unique, head to Due to the high volume of applications and enquiries, we are only able to respond to shortlisted candidates. No agency submissions will be accepted

A design-led, London-based construction consultancy is seeking an Assistant Quantity Surveyor to join their growing team. This is an excellent opportunity for an Assistant Quantity Surveyor to gain hands-on experience across commercial, residential, mixed-use, and hospitality projects. The Assistant Quantity Surveyor will play a key role in supporting project delivery while developing strong commercial foundations. This Assistant Quantity Surveyor position offers real exposure to live projects, client interaction, and a clear route for progression. The Assistant Quantity Surveyor will benefit from working in a collaborative, forward-thinking environment. For an ambitious Assistant Quantity Surveyor, this role offers both responsibility and development. The Assistant Quantity Surveyor's role The Assistant Quantity Surveyor will support cost management across multiple schemes, assisting with procurement, tendering, and financial reporting. The Assistant Quantity Surveyor will be involved in preparing cost plans, analysing tenders, and supporting contract administration duties, primarily under JCT forms. As an Assistant Quantity Surveyor, you will work closely with senior team members, clients, and contractors to ensure projects are delivered within budget and programme. The Assistant Quantity Surveyor will also assist with valuations, variations, and final accounts, gaining full lifecycle project exposure. The Assistant Quantity Surveyor The ideal Assistant Quantity Surveyor will have 1-3 years' UK experience within a consultancy or main contractor environment. An Assistant Quantity Surveyor should have a basic understanding of procurement processes and contract administration. Experience with JCT contracts is beneficial for this Assistant Quantity Surveyor role. A degree in Quantity Surveying or a related field is preferred, with a desire to work towards MRICS. The Assistant Quantity Surveyor will be proactive, organised, and eager to learn within a fast-paced consultancy setting. In Return? £35,000 - £45,000 salary (depending on experience) London-based role with project exposure across the capital Full APC support and structured development Strong project variety across commercial, residential & hospitality sectors Collaborative team environment with clear progression Assistant Quantity Surveyor | Quantity Surveying | Construction Consultancy | JCT | London Jobs (phone number removed) Reference #DM21946 Quantity Surveyor / Project Manager / Project Management / Employers Agent / Surveying / Construction / Building Surveyor / MRICS / MICOB / MAPM / FRICS / Contract Administration / Associate Director / Construction Consultancy

Marston Holdings is seeking a Resolution Field Agent in the Liverpool City Region. In this role, you will conduct field visits to resolve customer accounts in both residential and commercial properties.

As an agent, you will perform field visits to residential and commercial properties, focusing on resolving utility accounts and providing customer support. VidAlert is seeking Resolution Field Agents in the Liverpool City Region for part-time or full-time work.

Night Receptionist - Bloomsbury.Imperial London Hotels Group based at.Do you love meeting new people and sparking conversations?.Are you a friendly and organised team player with a knack for making others feel at ease?.Do you want to work in a unique, family-run hotel?.If so, we'd love to hear from

This is a casual, part-time role offering flexible working.As a Bank Senior Care Assistant at a Barchester care home, you'll look after the different needs of our residents to enable us to deliver quality, person-centred care and support.Your role will involve supervising and inspiring a team of ded

This is a casual, part-time role offering flexible working.As a Bank Activities Coordinator at a Barchester care home, you'll help to create a stimulating environment that enables us to deliver exceptional all-round care and support for our residents.Our ethos is all about celebrating life, so you'l

Lawnfield House care home in Willesden. Lawnfield House is a warm and supportive home where colleagues work together to deliver compassionate and person-centred care. For job seekers wanting to build a meaningful career in a supportive organisation, Lawnfield House offers the chance to grow, develop

This is a casual, part-time role offering flexible working.As a Bank Care Assistant at a Barchester care home, you'll help residents enjoy each day by making sure they get the quality care and support they deserve.You'll assist with daily living, providing support and companionship and sharing grea