Model agent jobs in United Kingdom

About governr governr is the control and accountability infra for AI in regulated enterprises - the system of record for a firm’s entire AI estate, with 24/7 risk exposure management and regulatory adherence. We were founded by operators who’ve built risk and control stacks for high frequency trading, volatility and tail-risk management applied to non-deterministic AI at scale. Our advisory panel includes formal global heads of capital markets, of risk management, of AI deployment and country level leadership of critical security infrastructures. We know business, risk and technology from the inside. The moment Every regulated firm on earth is required - by their board, their regulator, and their insurer - to prove they have control over their AI. Most cannot. The EU AI Act, the FCA’s PS26/2, FINRA, MAS, SEC, Freddie Mac, HIPAA, MHRA, MOD, DORA, GDPR 22, Consumer Duty, FRC, SMCR - every regulatory jurisdiction across industry segments demands this. Makes AI accountability personal. Insurers are pulling cover. This is the Wiz moment for AI - the control and context gap of AI turns into a category-defining platform. We have the business risk tailwind, the regulatory tailwind, the team and a 12-18 month technical lead built over years of work inside these firms. The window to define this category is open now, and it won’t be open for long. The product governr combines 60 AI-specific risk factors, 80+ agent-level controls, and 850+ regulatory mappings into a single control panel. Every AI system, model, agent, and supplier in a firm’s estate - risk managed, monitored, and auditable with an AI-native automation. It is the future language of how AI deployment, trust and risk is answerable in minutes, not months. It is the first and only platform purpose-built for the AI control problem regulated enterprises now face. Practical experience: • Worked in or around AI/ML teams in a delivery or assurance capacity. You may not have been necessarily a builder, but someone who has been close enough to data pipelines, model deployment, and API layers to understand what "done" looks like., • A background in technology risk, ML engineering, or technical consulting with AI exposure all work. Three to five years., • You'll have seen enough real AI estates to recognise what Gap and Weak actually look like in practice, because a lot of the value in a guidance engagement is pattern recognition: spotting that a firm's "data quality process" is actually just a Notion doc someone wrote once, or that their "rate limiting" is a single nginx config that nobody has reviewed. Specific things you would be able to do • Read and interpret a data pipeline well enough to identify where lineage tracking, PII scanning, or quality checks are missing., • Review model evaluation results and know whether HELM benchmarks have been run properly or just ticked off., • Assess whether an agent's system prompt actually enforces the iteration limits and tool restrictions the Baseline requires., • Look at an API auth setup and know whether OAuth2 has been implemented correctly or just partially. Identify whether logging is genuinely structured and centralised or just console output someone has called "logs.", • You don't need to build any of these things. If you do, that's a bonus. You need to know what a properly implemented version looks like versus a superficial one. Useful background • You've held a role that required reviewing or auditing technical AI or ML systems, not just advising on strategy., • You've written technical risk assessments or assurance reports that engineering teams found credible and useful, not just governance teams., • You are comfortable facilitating workshops with mixed technical and non-technical audiences. Familiar with at least one cloud provider's data and ML tooling stack well enough to know where common gaps appear. Some exposure to EU AI Act, GDPR, or NIST AI RMF is useful but not essential at Baseline., • Governance and policy - you may have written operational policies and procedures that actually got used, not just filed. Be it retention policy, Data protection impact assessments or an AI governance framework which went through legal or regulatory scrutiny and held up, • Background in technology governance, data protection, compliance, or risk management. What you get • Meaningful equity. A salary competitive for the stage., • Direct founder exposure: You will work closely with the people building the company and have a real seat at the table with senior industry leading AI, risk, data and technology practitioners and researchers in agentic, security management, context graphs, • Real responsibility early: This is a chance to take ownership, not just observe, • High-value customer exposure: You will interact with serious, senior stakeholders at important firms, • Career-building topic area: AI risk and governance is one of the defining enterprise issues of this era, • Front-row seat to building a category: You will see how a category gets built and business buildout, • Varied work: The role cuts across customer success, GTM, operations, and market-facing activity, so there is room to learn fast How to apply

Responsibilities • Global Al Client Acquisition: Scale outreach to global Al clients, including Al-native startups, ISVs, Al data providers, and enterprises undergoing Al transformation, to build a high-conversion sales pipeline., • Al Revenue Ownership: Own the full lifecycle of Al Maas opportunities in international markets, from lead generation and qualification to solution design, commercial negotiation, and deal closure, driving growth in token consumption and revenue., • Market & GTM Strategy Support: Track GenAl trends (foundation models, agents, Al infrastructure, and competitor moves); translate customer insights into tailored solutions and support GTM strategy with product and marketing teams., • Strategic Account Management: Build trusted relationships with C-level and technical decision-makers at global AI-focused companies to ensure satisfaction, retention, and expansion., • Al Use Case Co-Creation: Understand clients' Al goals and business challenges; through deep dialogue and industry insight, jointly identify high-value Al opportunities, • Communicate the value of Alibaba Cloud's large models in the client's language, co-design practical solutions, and validate them to drive real business impact., • Bachelor's degree or above. Maior preferred in Computer Science. Al. Data Science. Business or related fields: Master's or MBA preferred., • 3+ years of experience in sales, pre-sales, technical, or product operations in AI, cloud, or software, with proven results. Experience at Al-native companies or major cloud providers is a plus., • Al MaaS Sales Expertise:, • Actively uses leading LLMs and multimodal models in daily work; stays current on model evolution, agent frameworks, and industry trends. Familiarity with prompt engineering and "vibe coding" is a plus., • Deep understanding of Maas business models and the ability to articulate value clearly; knowledgeable about GenAl market dynamics and vertical-specific use cases., • Proven ability to guide clients from POC to production, covering discovery, solution fit, pricing, and contracting, while collaborating with solution architects and product teams, • Cloud Experience: Familiar with cloud and AI infrastructure products (e.g., servers, GPU, MaaS, RAG, Agents); hands-on experience in cloud sales, business consulting, and operations., • Mindset: Fast learner, customer-obsessed, results-driven, self-motivated, and passionate about Al innovation in fast-paced environments., • Business Acumen: Understands the token-based business model and can leverage Alibaba's products to help customers scale their businesses., • Global Collaboration: Fluent in English with the ability to communicate with diverse clients, comfortable with international travel and cross-time-zone teamwork.

Affinity Labs: Product (Consumer) Location: London Area, United Kingdom · Hybrid Company Description At Affinity Labs, we're building the future of company creation, a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetisation to rapidly build, launch, and scale digital ventures aligned with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Why Affinity Labs: Ship at rapid pace with AI-accelerated workflows, see your work distributed to audiences of millions at launch through partnerships with the world's largest creators, and compound impact across multiple products, not just one. Role Description You'll own product across a portfolio of high-growth consumer apps, working closely with the founders, creators, designers, and engineers to take ideas from lean spec to live product and then scale what works. This is an early-stage, hands-on role with significant autonomy: one week you're running zero to one discovery on a new concept with a household-name creator, the next you're tuning activation and paywall conversion on a product with hundreds of thousands of active users. You'll move between products quickly, carrying learnings with you, and lean heavily on AI dev tools to prototype, test assumptions, and hand off cleanly to engineering. Responsibilities • Lead product processes across multiple consumer apps in the portfolio from zero to one concepts to scaling mature ventures., • Run tight discovery loops: talk to users, prototype in AI dev tools, test assumptions fast, kill what doesn't work., • Drive activation, retention, monetisation, and growth experiments on live products, including paywall optimisation, onboarding, pricing tiers, A/B tests., • Write crisp specs and hand off seamlessly to engineering via Linear; reduce ambiguity so devs can move at full speed., • Partner with designers on UX decisions and flows; use Figma / Lovable to prototype and communicate intent., • Work side-by-side with world-class creator partners on product direction, roadmap, and launch., • Own the analytics story for your products: build dashboards in PostHog, define the metrics that matter, surface insights to the team., • Participate in daily standups and weekly planning; contribute to product strategy and execute relentlessly. Essential Requirements • 3–7+ years shipping B2C software products, • Consumer mobile experience: shipped at least one app via App Store / TestFlight to meaningful users., • Subscription / IAP monetisation: hands-on experience with paywalls, pricing tiers, and conversion optimisation., • AI-native workflow: comfortable leveraging AI dev tools (ClaudeCode, Cursor, Lovable or similar) to move quickly, test assumptions, build early prototypes, and transfer knowledge seamlessly to engineering., • Startup mindset: high ownership, pace, ambiguity; willing to burn the midnight oil when needed., • Growth mindset & flexibility: open to feedback; not rigid about tools or process., • Clear communicator who can earn the trust of engineers, designers, and creator partners alike. Desired • Direct experience collaborating with creators, influencers, or talent in a product context., • Able to contribute to UX decisions, push on flows, and ship Figma / Lovable prototypes when design is bandwidth-constrained., • Experience with PostHog, RevenueCat, Supabase, or similar consumer product analytics / monetisation stacks., • Planning & execution in Linear (or similar)., • Background in a fast-paced venture-backed consumer startup or venture studio. Tools & Stack • Product analytics: PostHog, • Monetisation: RevenueCat, • Planning: Linear, • Design / prototyping: Figma, Lovable, • Data: Supabase, • Collaboration: Notion, Slack, • AI dev tools: Claude Code, Cursor, and the wider AI-native workflow stack Why this role is a career launchpad • Build alongside the world's biggest creators. You'll work directly with household-name partners on products going to audiences of millions — exposure that's nearly impossible to find elsewhere., • Own the product & the company. You step in as a Founding PM with a meaningful equity stake from day one., • Ship faster with AI at your side. Our workflow bakes in AI so you spend your time on the hard product questions, not the drag., • Ride a rocket. Affinity Labs is a venture studio co-founding consumer apps with top creators. The roadmap is ambitious and the bar is high., • Grow like crazy. You'll touch multiple products each year, spanning discovery, launch, and scale. The shipping reps you'll get in 12 months here would take 3–4 years in a typical PM role., • Learn from builders, not bosses. Work shoulder-to-shoulder with founders who've scaled VC-backed startups, closed multi-million-pound term sheets, and collaborated with 1,000+ creators.

1. Support Global AI Client Acquisition: Assist the team in scaling outreach to global AI clients—including AI-native startups, ISVs, AI data providers, and enterprises undergoing AI transformation—to help build a high-conversion sales pipeline through lead research, client profiling, and outreach support., 2. AI Sales Process Support: Support the full lifecycle of AI MaaS opportunities in international markets—from lead collection and qualification to client communication and deal progression—working alongside solution and product teams to drive token consumption and revenue growth., 3. Market Research & GTM Strategy Support: Track GenAI trends including foundation model evolution, agent frameworks, AI infrastructure, and competitor dynamics; assist with market research, analysis, and GTM strategy development., 4. AI Client Relationship Support: Assist the team in communicating with technical decision-makers and business leads at global AI-focused companies; participate in client visits and meetings to help drive satisfaction and retention., 5. Cross-Functional Collaboration Support: Work with AI solutions, product, and marketing teams on day-to-day activities; assist in planning and executing technical workshops, demos, and campaigns; help prepare marketing materials and organize events. Qualifications 1. Education: Currently pursuing a Bachelor's degree or above in Computer Science, AI, Data Science, Business, Marketing, or related majors., 2. Availability: Minimum 3 days per week on-site, able to commit to at least 3 months of internship., 3. AI Awareness & Interest: -Strong interest in Generative AI, large language models, and AI applications; regularly uses mainstream LLMs (e.g., ChatGPT, Claude, Qwen) and follows industry trends. -Basic understanding of large model and MaaS concepts with initial awareness of AI commercialization; familiarity with prompt engineering or vibe coding is a plus. -Good logical thinking, strong interpersonal and communication skills with the ability to express ideas clearly. Prior internship experience in sales, marketing, or consulting is preferred. 4. Cloud & AI Fundamental Understandings: Basic understanding of cloud computing and AI infrastructure products (e.g., GPU, MaaS, RAG, Agents), or willingness to learn quickly., 5. Mindset: Fast learner, results-driven, self-motivated, and passionate about AI innovation in fast-paced environments., 6. Global Communication: Fluent in English with strong written and verbal communication skills. Overseas study or exchange experience is a plus. Proficiency in Chinese is a plus.

Self Employed Protection Insurance Adviser (Trainees welcome) Location: Hammersmith – FT Office-based Capricorn is London’s largest independent mortgage brokerage and one of the UK’s fastest-growing financial consultancies. With offices in Hong Kong, Singapore, and Shanghai, we operate in high-value property finance and protection markets — and we’re looking for exceptional people to own and grow our protection business. This is a commission only high-impact, high-reward protection sales role with hot inbound leads, no cold calling, and a proven model: • £1,000+ per policy (typical), • Clients who need you — not who need convincing, • Year 1: £30,000–£50,000, • Year 2: £80,000–£120,000, • Year 3: £150,000+, • Year 4: £175,000+ What You’ll Be Doing: • Convert live, qualified mortgage leads into protection business — no cold sourcing, • Work closely with your adviser pod to maximise referral volumes and retention, • Deliver honest, client-first advice with precision, urgency, and follow-through, • Own your pipeline — from contact to completion, • Learn, grow, and earn — with clear targets and ongoing coaching What You Bring: We’re not hiring on years of experience. We’re hiring on attitude, accountability, and commercial instinct. You might be: • A sales professional looking to be paid what you’re worth, • A former recruiter, estate agent, or BDM who owned their numbers, • Commercial hunger & performance mindset, • Clear understanding of income = activity, • Able to work fast, handle multiple cases, and follow through, • Confident communicator who builds trust, • RO5 qualified (or willing to complete pre-start) Why Capricorn? • No cold calling — warm referrals from 150+ introducers + 70+ advisers, • Top-tier tech: Smartr365, Openwork product suite, admin support, • Real coaching — not just onboarding, • Earn more, faster — we reward delivery, not tenur Applicants must have the right to work full-time in the UK without current or future sponsorship. Closing date for applications will be Friday 8th May. Due to high application volumes, we will only contact shortlisted candidates.

About This team is building an AI Operating System that autonomously runs entire companies - every revenue motion, every product decision, every operational function - with compounding intelligence across all of them. The core insight: truly consequential AI requires context no outside vendor can access. Real decisions need CRM records, support tickets, customer communications, contracts, finance data, product telemetry, market signals, audit logs – dozens of dimensions, deeply connected. They’ve solved that structurally. Instead of selling software from the outside, they acquire B2B software companies and embed the system directly inside them. That gives the AI full access to live data, real feedback loops, and the organisational depth needed to encode business intuition over time. Every acquisition deepens the intelligence. Every agent compounds it. The work spans enterprise data ingestion, pipeline reliability, model orchestration, agent execution, and the practical architecture trade-offs around latency, cost, and performance. The engineering team is small today (~5, scaling to ~15), so new hires will own core parts of the system early. The founders have a strong track record, including a prior multi-billion exit. The business is already generating meaningful revenue across its portfolio. What you’ll do • Build core backend and product systems for an internal AI operating platform, • Design APIs, data models, integrations, and workflows across messy company systems, • Turn ambiguous business problems into clear technical components that can be automated, • Work across Ruby, Python, Rust, TypeScript, and React depending on the problem, • Ship production features that affect revenue, retention, and operational efficiency, • Improve reliability, scalability, and developer speed as the platform expands, • Collaborate closely with product, commercial, and leadership teams on what gets built What you’ll need • Strong software engineering fundamentals and a track record of shipping real systems, • Experience in a high-bar startup, scale-up, or top engineering environment, • Strength in backend engineering; full-stack ability is useful, • Language agnostic mindset — use the best tool for the job, • Comfort with ambiguity, fast iteration, and making sensible technical trade-offs, • Product sense and the ability to think beyond ticketsWillingness to work mainly from the London office Optional Bonus • Experience with AI products, LLM workflows, or agent-style systems, • Exposure to data-heavy platforms, ontology layers, or workflow orchestration Shortlisted candidates will be contacted within 48 hours.

My client is a confidential, high-conviction quant pod looking for a Senior AI Engineer to help build its strategy intelligence layer from the ground up. The core question they are trying to answer: Can you observe a world-class discretionary trader and teach a machine to replicate that edge? The work spans: • Inverse reinforcement learning over real trade blotters, • Imitation learning distilled into regime-aware execution agents, • Transformer models operating on live L2 order book data, • Multi-agent RL systems optimising order-splitting under non-stationary market conditions, • LLM-driven pipelines converting proprietary research into structured signal priors in real time Your models run directly in production. You sit with PMs and researchers. No unnecessary layers or bureaucracy. The broader platform is multi-strategy, with exceptional risk-adjusted performance and ultra-low-latency infrastructure. The team itself includes engineers and researchers from leading HFT and systematic trading firms. This is a role for engineers who find market microstructure as compelling as model architecture, and who read Hasbrouck for fun. If your background spans deep learning, reinforcement learning, or applied AI within trading environments, I would genuinely love to speak with you. If terms like Kyle’s Lambda, Amihud illiquidity, state-space models, or temporal convolutional networks are already part of your vocabulary, even better. The role is confidential and off-market. DM me directly or drop me an email for further details. Full information available under NDA. #QuantitativeFinance #MachineLearning #ReinforcementLearning #AlgoTrading #AIEngineering #Hiring

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. For more information on how we process your personal data, please refer to HCLTech’ s ___. Product and Platform Specialist- • Strong Proficiency in Python and deep learning frameworks (PyTorch), • LLM Architectures & Training: Understanding Transformers, Large Language Models (LLMs), • RAG Pipeline Development: Building retrieval systems using vector databases, • Core RAG Components & Optimization : Doc Chunking , Embeddings , Parallel Processing , Agent building and A2A, • Orchestration & Engineering : Orchestration, LangChain , LangGraph , LangFlow , LangFuse , MCP, • GraphRAG : Knowledge graphs ontology and without ontology, • Model QA &Testing

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

AI Engineer - All levels - High Profile AI Scale Up - (relocation to Dubai, UAE) Our client is building a next-generation digital platform, one that is deeply ethical, powered by thoughtful design, and built from first principles around AI. Their mission is to create a proactive, intelligent system that understands user context, acts safely on their behalf, and earns trust through reliability, transparency, and rigour. As an AI Engineer, you will help shape the agentic intelligence layer that powers their products - systems that reason, remember, and act safely in the real world. This is a high-impact, hands-on role at the heart of a technically ambitious team. WHAT YOU'LL DO • Build and maintain LLM agents and agentic workflows end-to-end, • Design retrieval-augmented generation (RAG) pipelines and grounding strategies, • Develop multi-step planning, tool use, and execution flows, • Implement approaches to reduce hallucinations and unsafe model behaviour, • Partner with product, backend, and QA teams to ship production-grade agent capabilities, • Iterate continuously based on real-world usage, feedback, and outcomes WHAT WE'RE LOOKING FOR • 5+ years of experience in applied AI, machine learning, or software engineering, • Concrete, hands-on experience building and deploying LLMs and agentic frameworks in production, • Strong Python engineering skills, • Strong systems thinking with the ability to balance innovation with safety and correctness, • Ability to operate autonomously and deliver under tight deadlines BONUS POINTS • Prior experience at an early-stage or high-growth startup, • Have built and scaled products to Please note this role is based in Dubai, UAE and will require physical relocation.

Role Summary - Senior AI Engineer Aubay UK is seeking a highly skilled and versatile Senior AI Engineer for our leading oil and gas client. The Senior AI Engineer is responsible for designing, developing, and deploying advanced AI and machine-learning solutions for enterprise-level clients. The ideal candidate will have a strong foundation in mathematics or computer science and a proven track record of delivering innovative AI capabilities across diverse industries. This role requires both strategic and hands-on technical expertise, with the ability to operate autonomously, evaluate trade-offs, recommend optimal approaches, and own the end-to-end development of impactful AI solutions. The engineer will work collaboratively across multidisciplinary teams, providing thought leadership in cutting-edge AI technologies, including deep learning, graph neural networks, generative AI, and retrieval augmented system. Required Skills and Experience: • 5+ years of professional experience delivering advanced AI / ML solutions in industry or engineering environments., • Strong expertise in Python and AI/ML libraries: PyTorch, TensorFlow, Scikit‑Learn, Keras, NumPy, Pandas, JAX, XGBoost, PyTorch Geometric, OpenCV, Transformers, LangChain, Pinecone., • Proven hands‑on experience deploying models in production and building scalable AI software., • Deep understanding of advanced modelling methods: deep learning, GNNs, computer vision, sensor fusion, vector embeddings, RAG, generative AI., • Experience designing AI/ML architectures and providing strategic technical guidance to enterprise clients., • Proficiency with cloud compute platforms for training and deployment (Azure, AWS, GCP, or similar)., • Strong communication skills, able to influence architecture decisions and explain complex concepts clearly., • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or related STEM field. Desired Skills and Experience: • Background in reliability engineering, corrosion, WRFM (Well & Reservoir Facility Management), advanced sensing, or process engineering., • Experience with downstream customer platforms or trading ERP systems., • Hands-on experience with platforms such as Azure ML Studio, Palantir Foundry, or Databricks Mosaic., • Familiarity with NLP, LLM deployment, agent-based AI (MCP, A2A, N8N), and advanced RAG architectures. Roles and Responsibilities: • Lead the end‑to‑end development, deployment, and delivery of AI and machine learning solutions for enterprise clients, ensuring scalability, reliability, and real‑world impact., • Apply advanced AI techniques—including deep learning, classical ML, graph neural networks, object detection, sensor fusion, vector embeddings, retrieval‑augmented generation (RAG), and generative AI models—to design systems that learn, adapt, and operate autonomously., • Provide strategic architectural guidance on AI systems, ensuring efficient design, cloud‑ready deployment, and alignment with enterprise architectural standards., • Collaborate with multidisciplinary teams (engineering, product, domain experts) to create AI‑driven solutions that automate analysis, enhance decision‑making, and generate actionable insights., • Lead the design and implementation of AI pipelines, including experimentation, model training, evaluation, optimisation, and production deployment., • Serve as a thought leader on emerging AI technologies, including LLMs, generative AI, agent-based systems (MCP, A2A, N8N), and advanced RAG frameworks, helping guide innovation and best practices., • Communicate complex technical concepts to non‑technical stakeholders, providing clear strategic recommendations and architectural oversight., • Ensure all AI solutions meet standards for performance, security, cloud governance, and operational reliability, leveraging modern cloud environments for model training and deployment. Aubay's Take Our client is one of the Super Major global energy companies with who are working to power progress through cleaner energy solutions. You will have the opportunity to work in a challenging but rewarding environment that is fast paced and changing fundamentally, and work towards transforming the business of a Super Major energy company to meet the ambition to be a net-zero emissions energy business by 2050, whilst delivering a world class business case that has a strong societal license to operate. In your role you will be expected to enact change and deliver value globally across business lines and geographies. Benefits from Aubay At Aubay UK, people are at the heart of our business. We offer a competitive remunerations package which includes a range of benefits. You will receive continuous support from our dedicated team of Talent Acquisition Specialists who will support your career development and success during your assignment with our client.

Join Keith to build the future of legal services; using technology to add speed, consistency and affordability. Keith is an AI-native and full-stack regulated law firm, initially focusing on disrupting the UK conveyancing market. By leveraging technology, we aim to automate c. 80% of the current human workload - delivering game-changing levels of client service, improved responsiveness, and reduced transaction time duration. We have ambitions to expand into other formulaic process-driven practice areas, targeting a £19B UK total addressable market. Keith also aims to create a loveable and recognisable brand within legal services - arguably a first. Keith's been founded by Andy Shovel, Pete Sharman and Sam Tucker. Andy and Pete co-founded THIS (this.co) which in 6 years, has grown into a market-leading plant-based food brand, delivering over £20m in annual sales. THIS has become known for game-changing innovation and highly engaging comms. Sam Tucker is also a serial founder, having previously founded Common Surface, now part of deskbird. Backed VC and Breega are two europe-leading VC funds who have invested in Keith. Between them, they've also backed Moneybox, Exotec, Thought Machine and many other high-growth start-ups. About the Role We're looking for a Senior Software Engineer to lead our engineering team. You'll set the technical direction, make key architecture decisions, and help hire and build out the team as we grow. This is a senior role - you'll have significant ownership over how Keith's platform is built, deployed and secured. You Will: • Design and own the architecture of Keith's platform - the state machine, workflow engine, API layer and data model that orchestrate every transaction, • Own infrastructure, deployments and CI/CD - ensure the platform is reliable, scalable and fast as we grow from launch to thousands of concurrent transactions, • Build and maintain security practices appropriate for a regulated law firm - data encryption, access controls, audit logging, penetration testing, • Build and improve AI agent pipelines - document review, correspondence handling, structured data extraction, • Build internal tooling for conveyancers - inbox, document review, approval workflows, transaction oversight, • Help hire and build out the engineering team as we scale About You • 5+ years building production software, with a strong backend emphasis, • Strong command of Python, TypeScript and React/Next.js, • Experience building and operating scalable, secure systems - you understand infrastructure, observability and deployment pipelines, • Experience with AI agent orchestration frameworks (LangGraph, OpenAI Agent SDK, or similar), • Strong architectural judgement - you'll be making foundational decisions about the stack, data model and system design, • Comfortable with security and compliance requirements - you've worked in regulated or security-sensitive environments, • Experience hiring and managing engineers, • Join a small, senior founding team building one of the first AI-native regulated law firms from scratch, • Founding team with a proven track record - including founders of one of the UK's fastest growing consumer brands, • Have real ownership and help redefine how legal work gets done, • Collaborate with senior lawyers and technologists to automate complex workflows at scale, • Work at the frontier of AI and law - move fast, experiment, and shape the product

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.

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.

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

Do you want to build production AI systems that major enterprises actually rely on? Have you taken LLM applications beyond prototypes and into real-world deployment? Are you ready to work with cutting-edge AI tooling while solving complex enterprise problems? A global AI and data consultancy is hiring a Senior AI Engineer to help design and deliver production AI systems for enterprise organisations across financial services, energy, and healthcare. The company operates globally with ~600 employees and a large engineering presence in London. Their teams embed directly with clients to deploy AI systems into production environments, working closely with leading AI labs and cloud platforms to deliver scalable solutions. This role focuses on building reliable, production-grade AI systems, combining strong software engineering with applied AI development. You’ll work within cross-functional delivery squads alongside data scientists, engineers, and platform specialists. Role Summary This is a hands-on engineering role focused on designing and deploying LLM-powered systems in production environments. Engineers work across multiple enterprise engagements, typically lasting around nine months, building AI applications that solve real operational problems. Key Responsibilities • Design and implement LLM-powered applications for enterprise clients, • Build RAG pipelines and AI workflows integrating enterprise data, • Develop production APIs and backend services in Python, • Implement evaluation frameworks and monitoring for AI systems, • Optimise AI systems across latency, cost, and performance, • Contribute to solution architecture within cross-functional delivery squads Key Details • Salary: £75,000 – £90,000, • Working model: Hybrid (2–3 days per week in Central London), • Tech stack: Python, LLM APIs, RAG architectures, vector databases, agent frameworks, cloud platforms (AWS / GCP / Azure), • Visa sponsorship: Not available Interested? Please apply below.

We're representing at role at a global enterprise at the forefront of AI-driven transformation, building scalable, production-grade intelligent systems that power real-world business outcomes. The teams operate at the intersection of cutting-edge research and robust engineering, delivering AI solutions across industries at scale. The Role We are seeking a Senior AI Engineer to design, build, and deploy advanced AI systems with a focus on large language models (LLMs), voice AI, and distributed infrastructure. You will play a key role in architecting enterprise-grade AI platforms, working closely with product, data, and engineering teams to deliver high-impact solutions. Key Responsibilities • Design and implement LLM-powered applications using modern orchestration frameworks, • Build scalable pipelines for training, fine-tuning, and deploying AI models, • Develop and optimize retrieval-augmented generation (RAG) systems, • Architect and manage vector search infrastructure for high-performance semantic retrieval, • Integrate voice AI capabilities into applications and services, • Deploy and manage model serving infrastructure in production environments, • Collaborate across teams to translate business needs into AI-driven solutions, • Ensure observability, monitoring, and continuous improvement of AI systems Required Skills & Experience Strong experience with Python and/or Node.js in production environments Hands-on expertise with LLM frameworks: Proven experience with vector databases: Nice to have • Experience with multi-agent systems and autonomous workflows, • Familiarity with enterprise data architectures and security practices, • Background in MLOps and CI/CD for AI systems, • Experience working in large-scale enterprise environments What's on offer • Opportunity to work on cutting-edge AI systems at enterprise scale, • Competitive salary and performance-based incentives, • Flexible working arrangements, • Access to leading AI tools, infrastructure, and research, • Collaborative, high-performing engineering culture

Location: London (Hybrid, 2–3 days/week) Type: Full-time About Shop Circle Shop Circle is an AI-first technology company that acquires and scales mission-critical B2B software businesses globally. We serve 200,000+ businesses across diverse verticals, focusing on high-retention, deeply embedded software with strong cash generation. Our model is simple but powerful: acquire high-quality SaaS companies and accelerate their growth through a centralized AI platform—driving both revenue expansion and operational efficiency. We operate as long-term owners, continuously improving products through applied AI. The Role We’re hiring an AI Software Engineer to bring AI into real-world production across multiple products and business units. This is not a research role. It’s about shipping. You’ll operate at the intersection of AI systems, software engineering, and business impact—working closely with product leaders, operators, and our central AI team to identify high-leverage opportunities and turn them into production-grade solutions. If you’re excited by taking ideas from prototype into production, and with measurable ROI, this role is built for you. What You’ll Do • Design, build, and deploy AI-powered features end-to-end across our product portfolio, • Work with LLMs, RAG pipelines, and agent-based systems in production environments, • Implement guardrails (validation, error handling, fallbacks, human-in-the-loop flows), • Set up monitoring and observability to continuously improve system performance, • Evaluate and optimize systems for accuracy, latency, and cost, • Improve prompts, retrieval strategies, and model behavior through structured experimentation, • Collaborate cross-functionally with product, engineering, and business teams, • Contribute to reusable AI components and shared infrastructure What We’re Looking For • 3–6 years of experience in Software Engineering with a track record of building and maintaining production systems at scale, • Strong Python skills with experience in building and deploying robust backend services and APIs, • Hands-on experience with LLMs, RAG pipelines, and backend systems, • Proven track record of taking systems from prototype to production, • Strong judgment in balancing speed, quality, and scalability, • Strong academic background in Technology related field, • Excellent communication in English, primary language across the business Nice to Have • Experience with evaluation frameworks and benchmarking, • Familiarity with vector databases (e.g. Pinecone, Chroma), • Experience with monitoring and observability tools, • Frontend experience (JavaScript / TypeScript), • Experience optimizing systems for latency and cost, • Exposure to business metrics and ROI-driven decision making Why Shop Circle • Work across a diverse portfolio of SaaS products, • Build AI systems with direct, measurable business impact, • High ownership, low bureaucracy, fast execution, • Collaboration with a central AI team shaping company-wide strategy, • Competitive compensation and strong growth trajectory

Full Stack Software Engineer – AI | London (Hybrid – 2 days per week in-office) | £80,000 - £85,000 The Mission: Moving from Web-First to AI-First: This company generates massive volumes of critical research data, covering everything from oil price impacts to global market trends. They are currently undergoing a major architectural shift to ensure their users—such as bank traders—interact with this data not just through traditional websites, but via autonomous AI agents and Co-pilots. As an AI Full Stack Developer, you will be at the forefront of rebuilding the platform's entire architecture to be AI-first. You will help transition the service from a "Web/API-first" model to one driven by intelligent, autonomous workflows. The Full Stack Software Engineer will be required to: • Architect Autonomous Agents: Design and build agents and MCP servers to automate complex research and content generation workflows, such as auto-generating charts and reports., • Full Stack Execution: Maintain a "Full Stack" mindset with a split of roughly 70% Python and 30% React/Typescript, picking up standard frontend or backend tasks whenever required., • Implement RAG & LLMs: Work with custom LLM wrappers, prompts, and Retrieval-Augmented Generation (RAG) rather than training base models from scratch., • Direct Infrastructure: Use your expertise to direct the DevOps team on the specific infrastructure needs required for AI at scale., • Lead Quality: Own data quality and implement automated unit, integration, and performance testing for microservices-based components. The Full Stack Software Engineer – AI is required to possess the following skills & experience: • Commercial AI Experience: Approximately 2 years of dedicated AI experience within a broader engineering career (ideally at least 7 years total)., • Agentic Frameworks: Practical, commercial experience with LangGraph (or similar tools), agent design, and building MCPs., • The Tech Stack: Strong proficiency in Python (FastAPI) and React/TypeScript., • GenAI Tooling: Experience with embeddings, vector stores, and LLM integration (OpenAI, LLAMA, Cohere, etc.), • Agile Mindset: Experience working in high-performance teams using CI/CD and modern data architecture. Why Join This Company? • Innovation: Work with a modern, cloud-based, serverless, and microservices-oriented tech stack., • Impact: This role is at the heart of a significant shift in how the industry consumes research data., • Culture: Join a collaborative and supportive work environment where your ideas are valued and your work has an immediate impact on the global market., • Interview Process: 2 x technical rounds via MS Teams or in person Healthcare & Wellbeing: • Private Medical Insurance: Company-funded single cover including mental health support and 24/7 online GP access., • Fitness: Fully funded membership to Wellhub for gyms, mindfulness, and nutrition., • Family Support: Access to eldercare advice, travel security, and discounted health assessments. Financial Security & Retirement: • Market-Leading Pension: A service-based contribution model through Aviva., • Under 2 years: Up to 9% total contribution (3% basic + 3% match)., • Over 5 years: Up to 16% total contribution (10% basic + 3% match)., • Tax Savings: Contributions made via salary sacrifice, with the company sharing its National Insurance savings to boost your pot., • Insurance: Life assurance at 4x salary and long-term income protection covering up to two-thirds of earnings. Additional Perks • Commuting: Interest-free loans up to £3,000 for the Cycle to Work scheme., • Legacy Planning: Complimentary will-making services.

Senior AI Engineer | £700/day Outside IR35 | 6-Month Contract Industry: Technology / Capital Markets Location: London - 3 days in office Job Type: Contract Our client, a forward-thinking technology organisation, is seeking a Senior AI Engineer to join a team building production-grade AI systems powered by large language models (LLMs). You will work closely with software engineers and product stakeholders to design, develop, and deploy scalable AI applications, focusing on multi-agent orchestration, intelligent tool integration, and reliable production workflows. Responsibilities • Design and implement LLM-powered AI systems, including RAG pipelines, vector/knowledge databases, and agentic frameworks., • Build and maintain production-grade AI applications with clean code, APIs, data pipelines, and robust error handling., • Develop and maintain evaluation frameworks to measure and monitor system performance, accuracy, and reliability., • Implement feedback loops and observability to continuously improve system performance., • Craft and optimise prompts across different model providers for latency, cost, and output quality., • Collaborate with developers, stakeholders, and cross-functional teams to deliver scalable, reliable AI solutions., • Provide day-to-day support and troubleshooting for deployed AI systems. Required Skills • Hands-on experience with LLM APIs and deep understanding of capabilities, limitations, and failure modes., • Practical experience implementing RAG architectures, vector/graph databases, knowledge graphs, and prompt engineering., • Experience building multi-step LLM workflows and agentic systems using frameworks (e.g., LangChain, LangGraph, Claude Agents SDK) or custom solutions., • Strong Python (or other modern programming language) skills with production API/service development experience., • Knowledge of cloud platforms (AWS, GCP, Azure), distributed systems, and CI/CD pipelines., • Strong data manipulation skills (SQL, pandas) and experience evaluating AI system outputs., • Ability to work with ambiguity and optimise non-deterministic systems while balancing latency, cost, and quality trade-offs. Desirable Skills • Experience with AI-assisted coding tools (Claude Code, OpenAI Codex, GitHub Copilot)., • Knowledge of fine-tuning LLMs for domain-specific applications., • Familiarity with real-time streaming, multimodal models, or search technologies (e.g., Elasticsearch)., • Experience with model observability tools (LangSmith, Weights & Biases) and cost optimisation strategies., • Exposure to specialised industries (finance, healthcare, energy, legal, retail) and responsible AI practices., • Experience with tool-calling agents, handoffs, and guardrails.

A well-established London-based property investor and developer has recently expanded its portfolio with the acquisition of a third commercial building in the Blackfriars area. The scheme will deliver a high-quality Cat A office refurbishment, and we are now seeking a Senior Project Manager to take full responsibility for the successful delivery of this flagship project. Uniquely, the business operates in a fully integrated model, acting as both client and main contractor on its developments. This removes traditional delivery layers and enables a direct, streamlined decision-making process, with full ownership and accountability sitting within the project team. Key Responsibilities: You will lead the end-to-end delivery of a Cat A commercial office fit-out, overseeing programme, cost, quality, and site execution. Working closely with internal development, design, and construction teams, you will ensure the successful delivery of a high-specification office scheme in a live central London environment. A key aspect of this role is strong commercial control from a client-side perspective - ensuring cost certainty is maintained from early design through to final account. This includes leading procurement strategy, managing contractor and trade packages, controlling change, and protecting overall project value through disciplined cost planning, forecasting, and risk management. • Full project leadership from pre-construction through to handover, • Managing Cat A office fit-out works in Blackfriars, • Coordinating design development, procurement strategy, and site delivery, • Maintaining robust cost control and commercial governance across all stages, • Leading procurement of contractors and specialist packages, • Managing variations, change control, and cost-to-complete forecasting, • Ensuring programme certainty and quality standards are achieved, • Reporting directly into senior leadership within the business The Ideal Candidate: This opportunity is best suited to someone with a strong commercial / quantity surveying background, ideally someone who has progressed into a Project Management or delivery leadership role. You will likely have: • Proven experience delivering Cat A commercial office fit-outs in London, • A background in quantity surveying, commercial management, or cost consultancy, • Experience in a Senior Project Manager / Project Manager / Employers Agent capacity, • Strong understanding of procurement strategy, cost control, and contract administration, • Confidence working within both client-side and main contractor environments, • A proactive, hands-on approach with strong stakeholder management skills This is an excellent opportunity for a commercially minded construction professional to take ownership of a landmark London office scheme within a fast-moving, integrated delivery structure. If you are well suited to the position, please apply through the link and we will contact you for a confidential discussion.

Senior Infrastructure Engineer | Kubernetes | Docker | Terraform | Python | GPU | Onsite, London About the company We are an early-stage AI company building infrastructure for long-horizon reinforcement learning: agents that operate for extended periods and execute tools within high-fidelity environments. The team has deep experience in large-scale AI systems and open-source ML, and the company is well funded by experienced operators and technical leaders in the field. We build environment infrastructure to train and evaluate agents on frontier tasks such as automated research and scientific discovery. Our customers include leading AI research organisations and fast-growing, AI-native startups. Technical stack • Managed Kubernetes (cloud-based), • Custom autoscaling systems (Python / Go), • Redis, • Distributed compute frameworks (e.g. Ray), • Observability stack (OpenTelemetry-style), • Infrastructure-as-code (Terraform, Helm), • 50+ containerised evaluation environments What you’ll do Own the Kubernetes runtime for agent environments • Own scheduling, lifecycle management, stability, and operations for long-running, failure-prone workloads, • Operate and evolve a production Kubernetes platform supporting multi-hour or multi-day agent runs Improve environment infrastructure for long-horizon training and evaluation • Maintain a large suite of containerised evaluation environments (ML benchmarks, code execution, scientific tasks) with fast cold-start times, • Optimise GPU utilisation and scheduling for distributed workloads, • Design storage patterns for large datasets, model checkpoints, and ephemeral session state, • Improve environment bootstrap times and resource efficiency through image layering and caching strategies Make observability excellent • Implement metrics, logs, and traces that enable fast root-cause analysis, • Build dashboards and alerting tied to SLOs (e.g. rollout success rate, environment health, tool latency, queue time), • Create debugging playbooks for common failure modes such as OOMs, memory leaks, performance regressions, and network or storage issues Reliability engineering • Design retry and backoff strategies for long-running agent sessions that may fail mid-execution, • Implement session recovery mechanisms such as checkpointing and idempotent operations, • Build graceful degradation paths for node failures, OOMs, and GPU errors without losing progress, • Create runbooks for common failure modes (e.g. sidecar health timeouts, stream lag, pod eviction cascades), • Develop chaos-testing strategies for multi-hour runs (network partitions, node drains, API rate limits), • Define and track SLOs for session creation latency, environment availability, and tool execution success rates Security and sandboxing for tool-using agents • Harden container isolation for untrusted code execution (e.g. sandboxed runtimes or microVM-based approaches), • Implement network policies to restrict outbound access from evaluation environments, • Design secrets management for API keys used by agent tools, including rotation and least-privilege access, • Build audit logging for tool invocations and filesystem access, • Implement rate limiting and circuit breakers for external API calls made by agents Must-have experience • Deep, hands-on production experience operating Kubernetes, including:, • Resource requests and limits, affinity/taints, priorities, autoscaling, and preemption, • Debugging networking, DNS, storage performance, and node health issues, • Strong distributed-systems fundamentals: idempotency, retries, failure domains, and incident response, • Practical observability experience with metrics, structured logging, and tracing, • Ability to build internal tools in Python and/or Go, • Infrastructure-as-code and automation experience (Helm, scripting, GitOps-style workflows; Terraform a plus), • Experience using Redis for high-throughput, session-oriented workloads Nice-to-have experience • Experience with machine learning systems or language models, • Expertise in a specific infrastructure domain, • ML or reinforcement learning training infrastructure (checkpointing, distributed training, GPU scheduling), • Building custom Kubernetes controllers, operators, or autoscalers, • Sandboxing technologies for untrusted code execution, • Distributed compute frameworks (e.g. Ray, Dask, Spark), • Deep expertise in container runtimes, Linux performance tuning, or networking Compensation • Competitive salary and meaningful equity, • Early-team impact with direct ownership and high leverage Senior Infrastructure Engineer | Kubernetes | Docker | Terraform | Python | GPU | Onsite, London

Role: Head of Product The Opportunity We're building the AI home assistant that will manage every aspect of your home; from the moment you move in, forever. Jay, our AI agent, already helps thousands of movers navigate energy, insurance, broadband, and home services. Now we need a product leader who can take us from promising early traction to global market leadership in Agentic Commerce. This isn't a 'maintain the roadmap' role. This is a 'define what AI-native product management looks like' role. You'll be hands on and building the playbook that the industry will study in five years. Why This Matters Now The home services market is a £1 trillion opportunity undergoing a once-in-a-generation platform shift. Comparison sites had their moment. Marketplaces had theirs. The next wave is agentic: AI that doesn't just show you options, but acts on your behalf. We have contractual access to a material part of UK home moves. We have deep partnerships with the biggest names in property. We have a working AI agent. What we need now is the product leader who can convert this distribution advantage into market dominance. What You'll Own Short-term: Majority of our audience buying a product/subscribing The P&L: Own the commercial performance of our digital product across all categories (Energy, Bills, Broadband, Insurance). You're accountable for the full stack of outcomes: (1) exceptional customer experience, (2) commercial results that hit targets, and (3) velocity that compounds our learning advantage. The Team: Lead our product function, working alongside our Design Lead, Head of Engineering/AI, and cross-functional squads. Build and mentor the PM team as we scale. The Roadmap: Own the prioritisation across AI, consumer, & B2B. The Transformation: Drive our shift to AI-native product development. We don't want PMs who write tickets, we want conductors who define outcomes and enable AI to accelerate everything in between. In the First 90 Days • Deeply understand Jay's current capabilities, the user journey from partner handoff to conversion, and where we're losing users in the funnel., • Ship improvements to our Agentic Commerce platform, our highest-leverage initiative for hitting the conversion target., • Establish your operating rhythm with Design and Engineering: weekly rituals, decision frameworks, and accountability structures. Build a culture of empowered teams, not feature factories., • Develop a clear view of unit economics across categories. Know where we're making money, where we're leaking value, and where the biggest commercial opportunities lie. 3 months: We've hit market leading % conversion. Customers are happy. The team trusts your judgment. Investors are excited about our metrics. Category P&Ls are understood and improving. 12 months: Multiple commerce journeys are live and performing. We've expanded into adjacent categories. The product org is humming. You've hired at least one PM who's shipping independently. We're either raising a Series B or are profitable. 24 months: You've either grown into a Director role as we scale, or you're leading product alongside a peer who owns consumer AI/commerce. You Might Be Right If • You've owned P&L outcomes, not just shipped features. You've been accountable for revenue, conversion, or margin at a portfolio or category level. You understand that great product is necessary but not sufficient; it has to work for the business too., • You've led product in a B2C or B2B2C environment and personally shipped features that moved revenue metrics. Ideally in a fast paced ecommerce/marketplace consumer product used and loved by millions of people. You understand the complexities of supplier/partner integrations and developing real time products/pricing inventory., • You've built and managed PM teams (even small ones); you know the difference between hiring right and hiring fast., • You're obsessive about the user journey. You've personally watched session recordings, run customer interviews, and made decisions based on real behaviour., • You can context-switch between strategy and execution: you're comfortable in the boardroom and in Figma., • You ship fast. You have a bias toward action. You'd rather ship something imperfect and learn than debate the perfect solution. You understand that velocity is a competitive advantage., • You're genuinely excited about AI: Not as hype, but as a tool that fundamentally changes how products are built and how users experience them., • You've operated in early-stage or high-growth environments where resources were constrained and judgment mattered more than process. You're Probably Not Right If • You need a large team to feel effective: we're lean and you'll be hands-on., • You prefer stable environments with clear swim lanes; things move fast and ambiguity is constant., • You see AI as 'someone else's job'; here, everyone is an AI practitioner., • You optimise for consensus over velocity; we move fast, disagree openly, and commit fully. Empowered teams: We give teams problems to solve, not features to build. We're accountable for outcomes, not output. This is the Marty Cagan model: discovery and delivery, not roadmap administration. Commercial ownership: Product owns P&L. We're not just the voice of the customer; we're also the voice of the business. Great customer experience and strong commercial performance aren't trade-offs. They're both required. Design-centric: The user sits at the center of every decision. Design leads the experience; Product ensures we're solving the right problems at the right time. AI-native: We don't just build with AI; we build for AI. Our codebase is being designed for agents. Our PMs should use AI tools daily. Our thinking starts with 'what would this look like if AI did it?' We are all in on ClaudeCode. Build out loud: Work is transparent. We share early, critique often, and iterate publicly. No disappearing into black boxes. Velocity obsessed: Speed is a feature. We bias toward shipping, learning, and iterating over planning, debating, and perfecting. The Details • Competitive salary + meaningful equity (we want you to own what you build)., • Hybrid in London (we value face-time for collaboration, but trust you to manage your work) We're not looking for a CV-perfect candidate. We're looking for someone who reads this and thinks 'this is exactly the problem I want to solve.' If that's you, reach out. Tell us what excites you. Tell us what questions you'd ask in the first week. Tell us what you'd ship first. The best product leaders we know are insatiably curious. Show us yours. We Particularly Welcome Applications from Women and Underrepresented Groups in Product and Technology Research shows people from underrepresented groups often don't apply unless they meet 100% of the criteria. If this role excites you, apply anyway. We'd rather hear from you than miss out because of a checklist. Just Move In is a certified B Corp. We believe diverse teams build better products. We're committed to creating an inclusive environment where everyone can do their best work. If you need any adjustments to our interview process, let us know.

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

If you need support in completing the application or if you require a different format of this document, please get in touch with at or call TCS London Office number 02031552100 / +44 204 520 2575 with the subject line: “Application Support Request”. Role: AI Architect Job Type: Permanent Location: London/ Coventry. Are you passionate about driving innovation and best practices in Artificial Intelligence? We have an exciting opportunity for you – AI Architect! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. • Drive data integrity, governance, and responsible AI adoption., • Work with cutting‑edge digital and AI platforms., • Enable automation, intelligence, and smarter decision‑making at enterprise scale. The Role As an AI Architect (Enterprise & Agentic Systems), you will define the AI architectural vision and shape the enterprise AI strategy and roadmap, ensuring AI solutions are scalable, secure, well‑governed, and aligned with business outcomes. You will translate business opportunities into pragmatic AI architectures across data, models, platforms, and integrations, enabling reliable delivery at enterprise scale. You will work within a supportive, inclusive, and collaborative community across data, engineering, security, and product teams. You will guide delivery teams on AI patterns and best practices, including MLOps, LLMOps, evaluation, monitoring, and responsible AI. You will influence stakeholders through evidence‑based architectural recommendations and help deliver AI capabilities that can be operated safely over time. Key responsibilities: • Architect and govern multi-agent and agent-swarm systems at enterprise scale., • Define agent safety, governance, observability, and testing standards., • Establish AI guardrails, frameworks, governance models, and safety controls., • Design human-in-the-loop optimisation to balance autonomy, reliability, and performance., • Own patterns for agent reliability, performance tuning, and failure handling., • Build and sustain an AI-first engineering culture across full-stack, platform, and SRE teams., • Act as the final decision-maker for complex system design and enterprise-level architecture decisions., • Mentor architects and senior engineers on AI-native and agent-based design principles., • Design and govern enterprise-scale distributed systems with embedded AI capabilities., • Architect and evolve agent orchestration platforms., • Own observability, reliability, security, scalability, performance, and cost management (FinOps)., • Ensure platforms are production-ready, secure, auditable, and compliant., • Partner with CTOs and senior leadership on AI architecture strategy and roadmaps., • Define long-term enterprise AI architecture blueprints., • Own agent lifecycle planning and roadmaps from pilots to scale and retirement., • Drive transformation from traditional SDLC to AI-native and agent-augmented development., • Define patterns for spec-driven development, AI-assisted architecture extraction, drift detection, and AI-driven testing., • Ensure AI is embedded across the entire software engineering lifecycle., • Integrate SRE, SLOs, DevSecOps, Software Engineering, and Observability into a unified AI platform model., • Define reliability targets, operational metrics, and incident-management practices., • Ensure operational excellence and continuous compliance., • Own end-to-end AI lifecycle including model and agent selection, deployment, monitoring, governance, versioning, upgrades, and decommissioning., • Establish standards for MLOps, AgentOps, and AI governance., • Act as a business and portfolio SME for AI architecture., • Baseline organisational AI skills, capabilities, and maturity, and define uplift roadmaps., • Translate AI architecture into clear business value narratives., • Support RFPs, solution design, and executive workshops. Your Profile Essential skills/knowledge/experience: • Proven experience in enterprise architecture, platform engineering, or solution architecture within complex, large‑scale environments., • Demonstrated track record designing and operating enterprise‑grade distributed systems., • Strong exposure to AI and GenAI platforms, including agent‑based and agentic architectures., • Practical experience applying AI and intelligent automation safely at enterprise scale., • Deep understanding of DevSecOps and SRE practices, including reliability engineering and observability., • Proven experience partnering with CTOs, CIOs, and senior business leaders to shape strategy and drive delivery., • Comfort operating in ambiguous, fast‑moving environments, bringing clarity and structure to complex challenges., • A strong commitment to continuous learning and emerging technologies, fostering a culture of innovation and rigour. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at if you would like to opt in. If you are an applicant who needs any adjustments to the application process or interview, please contact us at with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process. Next Steps: Application Process • Skill-Based discussion: This will be a level 1 interview with the project team, it can be via video or in-person. Details will be confirmed by your recruiter., • Managerial discussion: This discussion will focus on behavioural aspects and person-organisation fit., • HR Discussion: This will be with one of the members of the HR team and will cover your career journey, aspirations for growth, compensation and any other questions you may have. Beware of Fraudulent offers This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to to report any fraudulent activity. Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion. Join us and do more of what matters. Apply online now.

The Opportunity We are building the Ai for Home Life. This role is an opportunity to shape the frontier of home life management and the practise of Ai native product management. Just Move In helps people set up their homes when they move. Our AI agent Jay handles energy, insurance, broadband, and home services. But here's the thing: we don't acquire most of our users through marketing. We get them through partners. We are also evolving the product into a full fledged Home OS to help people manage their home services before, during and after their move. Letting agents, CRM platforms, deposit schemes, property portals. We're embedded in the systems that already know someone is moving. That's our distribution moat. And it will deliver 1M UK moves a year by 2028. We need a product manager who can turn partner integrations into a scalable growth engine. Someone who thinks in APIs, activation funnels, and partner experience as seriously as consumer PMs think about user experience. What You'll Own • The partner platform. Integrate Just Move In into third-party systems (CRMs, referencing tools, deposit schemes) so we capture movers at the trigger point. API, CSV, and native integrations., • B2B products. Void Manager (simplifies empty property admin for letting agents on move-ins and move-outs), change of occupancy automation, and partner portals. Products that solve real problems for property professionals., • Partner growth. Work with our commercial team to activate and scale partnerships. Measure activation rate, moves per partner, integration velocity, and partner NPS., • Integration quality. Own the reliability, speed, and data quality of partner data flowing into our platform. When a partner sends us a move, the experience should be seamless., • Deeply understand our current partner integrations, their technical architecture, and where we lose moves between partner handoff and user activation., • Ship an improvement to partner onboarding or activation that measurably increases moves from at least one partner., • Build relationships with key partner stakeholders. Understand their pain points, not just ours., • Map the integration pipeline and develop a prioritisation framework for new partner types (deposit schemes, mortgage software, conveyancing platforms). 3 months: You can explain every partner integration we have: how it works, where it breaks, and what it costs us. You've shipped something that moved partner activation. The partnerships team sees you as their product counterpart. 12 months: Integration velocity has doubled. New partner types are live. Void Manager is generating revenue. You've built the playbook for how we onboard and scale partners. The B2B product surface is a competitive advantage, not a bottleneck. You Might Be Right If • 3-7 years of product management experience, ideally with B2B, platform, or API products. You've built things that other businesses use., • You understand integrations. APIs, webhooks, data pipelines, CSV imports. You've worked with messy partner data and know how to make it reliable., • You've worked in proptech, fintech, or a marketplace where partner/supplier integrations were core to the business model. You know the pain of third-party dependencies., • You think about partner experience. A partner portal isn't an afterthought. It's a product. You care as much about the letting agent's workflow as the consumer's., • You ship fast. You'd rather ship something imperfect and learn than debate the perfect solution., • You're commercially minded. You understand that each integration is a growth channel. You think about activation rates and revenue per partner, not just technical delivery. This isn't a nice-to-have. It's a hard requirement. You already use AI tools (Claude Code, Cursor, ChatGPT, Copilot) daily in your product work. Not as an experiment. As your workflow. You write specs with AI. You analyse data with AI. You prototype with AI. You move faster because of it. We don't want PMs who write tickets. We want PMs who define outcomes and use AI to accelerate everything in between. In your application, tell us how AI has changed your PM practice. Be specific. You're Probably Not Right If • You need a large team to feel effective. We're lean and you'll be hands-on., • You prefer working on consumer-facing products only. This role is about making partners successful., • You see integrations as grunt work. We see them as our growth engine., • You optimise for consensus over velocity. We move fast, disagree openly, and commit fully. Research shows people from underrepresented groups often don't apply unless they meet 100% of the criteria. If this role excites you, apply anyway. We'd rather hear from you than miss out because of a checklist. Just Move In is a certified B Corp. We believe diverse teams build better products. We're committed to creating an inclusive environment where everyone can do their best work. If you need any adjustments to our interview process, let us know. How We Work Empowered teams. We give teams problems to solve, not features to build. Discovery and delivery, not roadmap administration. Commercial ownership. Product owns P&L. Great customer experience and strong commercial performance are both required. Design-centric. The user sits at the centre of every decision. Design leads the experience. Product ensures we're solving the right problems at the right time. AI-native. We don't just build with AI. We build for AI. Our codebase is designed for agents. Our thinking starts with 'what would this look like if AI did it?' Velocity obsessed. Speed is a feature. We bias toward shipping, learning, and iterating over planning, debating, and perfecting. The Details • Competitive salary + meaningful equity (we want you to own what you build)., • Hybrid in London (we value face-time for collaboration, but trust you to manage your work). We're not looking for a CV-perfect candidate. We're looking for someone who reads this and thinks 'this is exactly the problem I want to solve.' The best product people we know are insatiably curious. Show us yours. Apply: CV, LinkedIn, and then send me a short message on linkedin with what excites you about building the ai for home life at Just Move In. Tell us how AI has changed the way you work. Tell us what you'd ship first.

This organisation is a leading Global Systems Integrator delivering large-scale digital, cloud, and AI transformation programmes for enterprise clients worldwide. With deep capabilities across technology consulting, systems integration, and enterprise platform delivery, the firm partners with global organisations to modernise operations, unlock data value, and embed AI at scale. Operating at the forefront of Agentic AI and Generative AI, the business combines strategic advisory with deep engineering execution — supporting clients from AI vision and roadmap through to full enterprise deployment and governance. As a recognised enterprise transformation partner, the organisation: • Delivers complex, multi-million-pound technology programmes across global markets, • Works closely with C-suite stakeholders to shape AI-led business transformation, • Integrates AI into enterprise ecosystems including ERP, CRM, digital, and data platforms, • Invests in AI accelerators, reference architectures, and innovation frameworks, • Prioritises responsible AI, governance, scalability, and enterprise-grade security This is an opportunity to join a globally respected consulting environment shaping the next generation of enterprise AI adoption About the Role This is a senior leadership role sitting at the intersection of AI strategy, enterprise architecture, and complex deal leadership. • Shape executive-level AI transformation conversations, • Lead high-value AI deal pursuits and solution design, • Architect enterprise-scale Agentic and Generative AI systems, • Translate emerging AI capabilities into measurable business outcomes You will operate as both a recognised thought leader and a hands-on practitioner — guiding multi-agent architectures, RAG pipelines, LLM ecosystems, and enterprise AI operating models. This role combines strategic advisory influence with deep technical oversight, mentoring senior architects, engineers, and data scientists across complex programmes. Key Responsibilities • Advise C-suite stakeholders on AI strategy, governance, and operating models, • Lead AI-driven deal pursuits including shaping, estimation, and executive presentations, • Own end-to-end solution architecture for complex AI engagements, • Design Agentic AI systems (multi-agent, orchestration, human-in-the-loop workflows), • Architect Generative AI solutions including prompt pipelines, RAG, and fine-tuning strategies, • Integrate AI solutions into enterprise systems (ERP, CRM, digital and data platforms), • Define AI lifecycle management, monitoring, scalability, and cost optimisation frameworks, • Provide technical leadership and mentoring to delivery teams Key Skills • 15+ years in technology consulting, digital transformation, or advanced analytics, • 5+ years hands-on AI/ML experience with strong focus on Generative AI and Agentic AI, • Expertise in LLMs, agentic frameworks, orchestration patterns, and RAG pipelines, • Experience with vector databases, embeddings, and model evaluation strategies, • Proven track record leading complex enterprise AI deals, • Strong executive presence and ability to translate AI into business value, • AI publications or speaking engagements, • Experience shaping AI Centres of Excellence or enterprise AI operating models Salary: £130,000 - £180,000 + Benefits + Bonus Location: London Working Model: Hybrid Apply now or share your CV as our client is interviewing immediately.

Role Overview We are seeking a client-facing Pre-Sales Solution Architect – AI & Intelligent Automation to drive AI-led solutioning across pursuits, RFPs, strategic pitches, and existing DPO accounts. This role sits at the intersection of sales, architecture, and business consulting. The primary objective is to increase win rates, shape large AI-led deals, and build a qualified automation pipeline across multiple business value chains. The ideal candidate combines strong AI and automation expertise with commercial acumen, storytelling ability, and executive engagement skills. Key Responsibilities 1. AI Opportunity Identification Across Value Chains • Identify automation and AI insertion points across various vusiness functions (Finance & Accounting, Supply Chain, Customer Operations, Procurement etc) and Industry-specific value streams, • Assess feasibility and ROI of AI-led transformation opportunities, • Define use cases involving LLMs, agentic workflows, RPA, ML models, and orchestration platforms, • Create reusable AI solution patterns across value chains 2. RFP & Proactive Deal Support • Lead AI solutioning for:, • RFP responses, • Client proposals, • Proactive pitches and strategic account mining, • Develop end-to-end solution approaches including:, • Architecture diagrams, • Operating model design, • Transition roadmap, • Risk and governance considerations, • Partner with sales and account teams to strengthen competitive positioning 3. Architecture & Solution Design • Design scalable AI-enabled automation architectures integrating:, • Hyperscaler AI services (Azure AI, AWS, GCP, OpenAI, Anthropic), • Enterprise platforms (SAP, Oracle, ServiceNow, CRM systems), • Data platforms and middleware, • Define:, • Agent-based automation models, • RAG architectures, • Process orchestration frameworks, • Human-in-the-loop governance models, • Ensure security, compliance, and responsible AI principles are embedded 4. Business Case Development • Build compelling financial and operational business cases including:, • Productivity impact, • Cost savings, • Revenue enhancement, • ROI and payback analysis, • Quantify transformation value across value chains, • Support deal pricing assumptions and margin analysis, • Develop executive-ready summaries for client decision-makers 5. Executive Presentations & Collateral Development • Develop high-impact PowerPoint presentations for:, • CXO conversations, • Board-level discussions, • AI governance committees, • Analyst briefings, • Translate technical AI concepts into clear business narratives, • Create reusable pitch decks and solution accelerators, • Maintain visual clarity and structured storytelling in all materials 6. Analyst & Market Collaboration • Work closely with industry analysts to:, • Articulate DPO’s AI differentiation, • Support analyst briefings, • Contribute to market positioning and reports, • Provide inputs for thought leadership, whitepapers, and POV documents, • Align AI offerings with industry trends and competitive benchmarks 7. Account Expansion & Existing Customer Engagement • Engage with existing DPO customers to identify AI-led transformation opportunities, • Conduct automation discovery workshops, • Develop AI transformation roadmaps for clients, • Support cross-sell and up-sell initiatives Required Qualifications • 10–15 years of experience in Solution Architecture, Consulting, or Digital Transformation, • Strong understanding of AI/ML, LLM-based architectures, and intelligent automation, • Experience supporting RFPs and complex deal pursuits, • Experience across multiple enterprise value chains, • Strong financial modeling and business case development skills, • Excellent PowerPoint storytelling and executive communication capability, • Familiarity with hyperscaler AI ecosystems, • Exposure to enterprise platforms (SAP, Oracle, ServiceNow), • Experience in agentic workflow design, • Consulting background preferred, • Experience working in global delivery models Behavioral Competencies • Strong strategic thinking and structured problem-solving, • High executive presence, • Ability to operate in ambiguous environments, • Strong influencing and stakeholder management skills, • Commercial mindset with outcome orientation, • Strong collaboration across sales, product, and engineering teams

🤝 Senior Product Manager – Partner Growth & Enablement 📍 London (Hybrid, 1–2 days per week) 💰 £85,000 – £100,000 + 15% bonus + benefits 🔌 Consumer Technology The Role A fast-growing consumer tech business with a large, distributed network of independent sales representatives across the UK is looking for a Senior PM to help reimagine how that network is found, activated, and set up for success. The opportunity is significant, a largely untapped potential to modernise an established model, and this role sits right at the heart of that transformation. You'll be working across a mobile app, web portal, learning platform, and an emerging LLM-powered chat agent, with the freedom to experiment fast and scale what works. What you will be doing: • Developing strategies to attract new representatives through modern and emerging channels, including social platforms, gig economy crossover, and beyond, • Designing onboarding journeys that prevent drop-off and drive early activation and habit formation, • Building nudge mechanics, micro-rewards, and engagement loops through digital products to keep representatives motivated and productive, • Running lean experiments, starting scrappy, validating quickly, and scaling winners across the network, • Working closely with senior stakeholders and directly engaging with representatives across the UK to understand what makes them tick What we are looking for: • A Senior PM with an entrepreneurial mindset, someone who gets excited by a blank canvas and knows how to make progress without a perfect brief, • Experience in marketplace, platform, proposition-led environments, or disruptive models where you've had to flip a traditional model on its head, • Comfortable starting small, experimenting and scaling fast once something is proven, • Experience with behavioural design, digital nudges, or engagement mechanics in a B2C or network-driven context, • Hands-on operator, you'll be expected to come in and get stuff done Sector experience is a nice-to-have, not a must-have. This role needs a creative, entrepreneurial PM who can bring fresh thinking to an established model. Sound like you? 📧 CV ➡️

Software Engineer - London £80k base + meaningful EMI equity About Revax Revax is building a new class of AI-native software for tax advisory teams. Today, advisers lose entire days to researching and drafting advice - fragmented knowledge, manual workflows, and brittle tooling. We turn a firm's own expertise into structured, transparent AI systems that draft, analyse, and explain deliverables with full traceability. We're a seed-stage startup backed by leading institutions and angels, already working with major firms. The team is small, technical, and shipping fast. The role We're hiring a Software Engineer to help scale Revax. You will work directly with the founders, owning features end-to-end across the stack, and helping to define how AI systems are built responsibly in regulated domains. Customer calls, prototyping, production hardening, and the work that lets us sell into leading firms - all of it is in scope. If you enjoy designing clean APIs, scaling services, and shipping products to paying enterprise customers, this role is for you. What you'll do • Model and optimise PostgreSQL / Supabase & graph db / Neo4j schemas for complex data, • Design and implement APIs in FastAPI for AI workflows and product features, • Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability, • Integrate vector search, knowledge graphs, and retrieval pipelines into production services, • Deploy services on GCP (Cloud Run / GKE) and improve performance, reliability, and cost, • Implement the auth, IAM, audit, and access-control patterns enterprise customers expect, • Help deploy SSO, tenant isolation, auditability, and the security reviews that come with selling to major firms, • Work with customers, other engineers, and the founders to create best in class software Who we're looking for Essential • 2–3 years building production software used by real users, • Experience working in startups (1 year + of total experience), • Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs, • Production experience with FastAPI or a similar modern Python framework, • Experience scaling and operating services on GCP, AWS, or Azure, • A high-ownership mindset - you care about reliability, correctness, and outcomes, not lines of code, • Heavy use of modern AI coding tools (Cursor, Claude Code, Codex) Strong plus • Experience with any of; multi-tenant deployments for enterprise customers, VPC networking, Kubernetes, or shipping into procurement-heavy regulated buyers., • Exposure to Neo4j or graph-based data modelling, • Time spent on AI-native or agentic systems in production Nice to have • Exposure to professional services, finance, tax, or other regulated domains, • Strong instincts for developer experience and internal tooling The package • £80k base + meaningful EMI equity, • London-based, with a strong preference for in-office, • Visa sponsorship available, • Modern stack, and driven team that you can get have an impact in from day 1. If this sounds like you, please apply.

About Ibex.ai Ibex is a fast-growing AI startup building an agentic, real-time decision engine that optimises customer interactions for measurable profit. Our platform blends advanced machine learning, deep learning, and reinforcement optimisation to decide the best action, message, or offer for every customer, automatically and at scale. We operate where complexity is high and impact is immediate. Our clients rely on Ibex to process large, fast-moving behavioural datasets and make millions of personalised decisions per day. The system learns continuously, adapts autonomously, and delivers provable commercial uplift without manual testing or experimentation. We move quickly and value clarity over hierarchy. Ideas are tested, validated, and shipped fast. Bureaucracy is minimal. You’ll work alongside a tight, highly technical team solving real optimisation problems for real businesses. Ibex is sector-agnostic in design, though many current clients operate in online casinos where real-time optimisation drives significant commercial value. We’re PE-backed, scaling rapidly, and expanding our OEM partnerships to power personalisation inside other platforms outside online gaming. We’re based in London and work hybrid, with the team in the office three days per week. The role You’ll be developing the front-end of our client-facing portal (the main way our customers configure Ibex and view recommendations and analytics). This is a central product role: everything our models do ultimately flows through the UI you build. You will: • Design and build front-end features in Vue for configuring campaigns, • Create intuitive flows and clean UIs for complex analytical and configuration tasks, • Work closely with product, data science and backend engineering to turn ideas into production features, • Implement performant data visualisations to surface insights and recommendations, • Help shape our front-end architecture, component library and UI standards, • Contribute to engineering best practices (testing, code review, documentation) This is a hands-on role with a lot of ownership and the opportunity to define how our users experience the product. The product We’re pushing beyond dashboards and forms into agentic tools that think, act and learn on behalf of our clients. You’ll be building a cutting-edge application that: • Lets users collaborate with AI agents to configure and optimise campaigns, • Surfaces AI-driven recommendations in clear, actionable ways, • Makes complex model behaviour understandable and controllable for non-technical users An interest in AI and how people interact with intelligent systems is essential. You don’t need to be a researcher, but you should be excited about designing interfaces for products where the “user” is both a human and an AI agent. What we’re looking for Must-have experience • Strong experience building front-ends with Vue.js, • Experience working on B2B SaaS products, • Demonstrated ability to design clean, usable UIs for complex products, • Good understanding of modern front-end engineering practices (components, state management, testing, performance), • Genuine interest in AI / ML products and how users interact with them, • Hands-on experience using AI coding tools (e.g., Codex, Claude, Copilot, Cursor) to build or ship frontend features in a professional environment Nice to have • Experience with Python/Django backends, • Experience with Azure or other cloud platforms, • Experience building native visualisations (e.g. with D3, Chart.js, or similar), • Experience working with design systems or component libraries If you’re not sure you tick every box but you’re excited about the role and the problems we’re solving, we’d still love to hear from you. Salary • £50,000 – £60,000 (depending on experience)

We are working with an impressive Investment Group to hire a Head of Finance for their London office. This is a new role, offering a rare opportunity to build from the ground up. The team operates with a technology‑first mindset, and the successful candidate will be expected to automate wherever possible using emerging agentic AI, SaaS platforms, and fintech tools, while driving best practice. Reporting • Agree reporting timetables with Group Finance, • Balance sheet reconciliation and management accounts, • Group reporting schedules, • Fund accounting for the investment vehicles, • Develop and implement Valuation Policy in line with US GAAP/statutory requirements Finance Operations • Accounts payable/receivable, • Expenses and corporate card oversight, • Payroll provider liaison, • VAT review and submission Family Office Support • Support Family Office on UK administration, payments, and ad‑hoc matters Year End • Agree year‑end timetable with advisers and Group Finance, • Oversee statutory accounts preparation and filing, • Oversee corporation tax return preparation and filing Financial Planning • Develop 5‑year forecast model with Company Director, including rolling reforecasts, • Capital planning and returns forecasting, • Lead annual budgeting with London and Group Finance, • Identify cost‑optimisation opportunities Deal Execution • Review investment legal terms and advise deal team, • Support diligence and financial analysis, • Coordinate with Group Finance/Legal on deal timing, cashflows, and capital deployment Investor Reporting • Maintain institutional‑grade reporting for direct and indirect portfolios, • Develop internal valuation thinking and execute conclusions Portfolio Monitoring • Support implementation of portfolio monitoring tools, • Monitor performance of direct and indirect investments, • Assess follow‑on investment opportunities, • Advise Portco CFOs on operations, tech, and benchmarking Project Work Examples include: • Deployment of AI agent solutions within spend management, • HR/payroll system implementation, • Treasury Management System rollout, • Portfolio monitoring/reporting tool implementation Expected Characteristics • Qualified accountant with broad practice experience, • Technically strong, pragmatic, and able to think from first principles, • Open‑minded, low‑ego, willing to challenge and drive change, • Strong multi‑tasker with exceptional attention to detail, • High‑energy and comfortable in a fast‑paced environment, • Independent, takes ownership end‑to‑end, • Curious about operations, technology, and building scalable functions, • Resilient and willing to handle tasks at all levels, • Highly organised with clear, concise communication skills, • Trusted with highly confidential information; absolute integrity required This successful candidate will be expected to be in the London office five days per week with some flexibility.

We are working with a highly regarded Legal 500 law firm seeking an experienced Executive Assistant to support senior partners within a high-performing Employment & Immigration team. The successful candidate will act as a true business partner to senior stakeholders, taking full ownership of diaries, inboxes, financial processes, and operational support, while contributing to continuous improvement across the team. This is a full-time with hybrid working and great benefits. Key Responsibilities Partner & Stakeholder Support • Act as a professional, client-focused ambassador for partners both internally and externally, • Build highly effective working relationships with multiple partners, • Develop a strong understanding of partners’ practice areas, clients, priorities, and strategic goals, • Arrange and lead regular catch-ups with partners to review diaries, commitments, and priorities, • Attend meetings, take minutes where required, and proactively follow up on actions Diary & Inbox Management • Take full ownership of complex and demanding partner diaries, • Proactively manage conflicts, queries, and last-minute changes, • Ensure partners are fully prepared for meetings and commitments, • Manage inboxes on behalf of partners, including:, • Drafting and sending emails, • Highlighting urgent or sensitive correspondence, • Redirecting client-critical emails to relevant fee earners or team members Financial, Billing & Matter Management • Demonstrate strong commercial and financial awareness, • Coordinate billing processes on behalf of partners, • Proactively organise WIP and financial review meetings, • Work closely with finance teams and client administrators to meet billing deadlines, • Take ownership of financial and matter management processes, including chasing unpaid bills, • Handle complex compliance and billing-related matters Business Development & Marketing Support • Liaise with Marketing and Business Development teams, • Coordinate BD activities for the Corporate team, • Assist with the preparation of pitches, presentations, and client materials, • Play a key role in organising client events, seminars, and conferences Travel & Logistics • Arrange complex travel end-to-end, including:, • Flights, accommodation, visas, and currency, • Manage arrangements in line with individual preferences, • Ensure diaries are fully updated with all travel details Process Improvement & Leadership • Introduce and implement best practice operational processes, • Act as a role model and change agent within the support function, • Work closely with the Secretarial Team Leader to improve ways of working, • Take full ownership of tasks, managing workload against deadlines and business needs Working Environment • Collaborative, inclusive, and high-performing culture, • Hybrid working model, balancing office presence with flexibility, • Central London office location, • Strong emphasis on wellbeing, teamwork, and professional growth Essential Skills & Experience • Proven experience supporting senior partners or executives in a Corporate department within a law firm or professional services environment, • Exceptional diary and inbox management skills, • Strong commercial and financial awareness, • Highly organised, proactive, and detail-focused, • Confident communicator with strong stakeholder-management skills, • Comfortable working at pace and handling competing priorities For more information, please apply directly or contact Jess at AJ Chambers

We are working with a highly regarded professional services firm seeking an experienced Executive Assistant to support senior partners within a high-performing Commercial Real Estate team. The successful candidate will act as a true business partner to senior stakeholders, taking full ownership of diaries, inboxes, financial processes, and operational support, while contributing to continuous improvement across the team. This is a full-time, permanent role with hybrid working and great benefits. Working hours of 9.30 am to 5.30 pm. Key Responsibilities Partner & Stakeholder Support • Act as a professional, client-focused ambassador for partners both internally and externally, • Build highly effective working relationships with multiple partners, • Develop a strong understanding of partners’ practice areas, clients, priorities, and strategic goals, • Arrange and lead regular catch-ups with partners to review diaries, commitments, and priorities, • Attend meetings, take minutes where required, and proactively follow up on actions Diary & Inbox Management • Take full ownership of complex and demanding partner diaries, • Proactively manage conflicts, queries, and last-minute changes, • Ensure partners are fully prepared for meetings and commitments, • Manage inboxes on behalf of partners, including:, • Drafting and sending emails, • Highlighting urgent or sensitive correspondence, • Redirecting client-critical emails to relevant fee earners or team members Financial, Billing & Matter Management • Demonstrate strong commercial and financial awareness, • Coordinate billing processes on behalf of partners, • Proactively organise WIP and financial review meetings, • Work closely with finance teams and client administrators to meet billing deadlines, • Take ownership of financial and matter management processes, including chasing unpaid bills, • Handle complex compliance and billing-related matters Business Development & Marketing Support • Liaise with Marketing and Business Development teams, • Coordinate BD activities for the team, • Play a key role in organising client events, seminars, and conferences Travel & Logistics • Arrange complex travel end-to-end, including:, • Flights, accommodation, visas, and currency, • Manage arrangements in line with individual preferences, • Ensure diaries are fully updated with all travel details Process Improvement & Leadership • Introduce and implement best practice operational processes, • Act as a role model and change agent within the support function, • Work closely with the Secretarial Team Leader to improve ways of working, • Take full ownership of tasks, managing workload against deadlines and business needs Working Environment • Collaborative, inclusive, and high-performing culture, • Hybrid working model, balancing office presence with flexibility, • Central London office location, • Strong emphasis on wellbeing, teamwork, and professional growth Candidate Profile Essential Skills & Experience • Proven experience supporting senior partners or executives in a Property/Real Estate department within a law firm, • Exceptional diary and inbox management skills, • Strong commercial and financial awareness, • Highly organised, proactive, and detail-focused, • Confident communicator with strong stakeholder-management skills, • Comfortable working at pace and handling competing priorities For more information, please apply directly or contact Jess at AJ Chambers.

A bit about us. We're building Cotta, a gourmet food market that connects people with the best independent producers, home chefs, and artisan makers. Think of it as bringing the quality and curation of a high-end food hall to your phone. This role is different. Here's why. This isn't a traditional software engineering role, and we want to be upfront about that from the start. This is an AI-native engineering team. That means our Product Engineer doesn't spend their day writing code line by line. They spend it thinking: assessing AI-generated plans before execution, steering the agent that builds the code, reviewing outputs for architectural soundness, and shaping product direction alongside the founding team. The ratio is roughly 80% judgment work, 20% hands-on intervention. One great Product Engineer working this way delivers at the velocity of a much larger traditional team. That's the model, and it works, but only with the right person running it. If you're an engineer who has already adopted AI coding tools, formed strong opinions about what works and what doesn't, and you're frustrated that most roles don't give you enough time to actually think, this might be exactly what you've been looking for. What you'll be doing. • Owning the AI agent engineering chain: assessing plans before execution, monitoring outputs, catching architectural drift, and ensuring what ships is genuinely production-quality, not just technically passing, • Acting as the architectural conscience of the platform, maintaining oversight as the codebase grows and ensuring every new feature aligns with the overall system design, • Working directly with the founding leadership team and our Fractional CTO to translate product decisions into technical direction, contributing to what we build and in what order., • Critically, you'll be the bridge between the technical and the non-technical: turning complex engineering realities into clear, honest, jargon-free conversations so the leadership team can make confident decisions, • Taking ownership of the platform transition from our current agency build to fully in-house capability, including infrastructure, secrets, CI/CD, and codebase health, • Building and curating the context layer (architecture docs, coding standards, domain rules) that makes our AI tooling smarter and more effective over time What we're looking for. • Mid-to-senior software engineer with strong architectural thinking and the ability to hold a full system in your head while reviewing individual outputs, • Already working with AI coding tools (Claude Code, Cursor, Copilot, or similar) and able to articulate clearly what works, what doesn't, and why, • A natural skeptic: you question outputs rather than accepting them, and you know the difference between code that works and code that's right, • Strong grasp of our tech stack: Node.js, React/React Native, Next.js, MongoDB, and experience with third-party integrations, • Comfortable working in a lean, fast-moving startup environment where you'll contribute to product decisions, not just execute tickets, • An exceptional communicator with non-technical stakeholders: you don't just translate trade-offs, you take the time to understand the business need behind a request before you respond to it. The leadership team shouldn't need to understand the technology to trust your recommendations - that's on you to make happen, • Experience with DevOps, CI/CD, and cloud infrastructure, • Genuine curiosity about the business: you ask "why are we building this?" and "what problem does this actually solve?" before jumping to the how. At Cotta, the best technical decisions start with understanding the commercial and customer context, not the codebase, • Bonus: previous experience as a founding or early-stage engineer at a startup, or exposure to marketplace or food-tech products What we offer. • The chance to be Cotta's first engineering hire, with real ownership of the technical direction from day one, • A close working relationship with an experienced Fractional CTO who'll be a genuine thinking partner, not just a line manager, • Direct influence over what we build and how: your voice matters in product conversations, not just technical ones, • A passionate, high-standards founding team that genuinely cares about quality at every level, • Competitive salary, • Hybrid working, with a strong in-office culture in London

Role Overview We are seeking a client-facing Pre-Sales Solution Architect – AI & Intelligent Automation to drive AI-led solutioning across pursuits, RFPs, strategic pitches, and existing DPO accounts. This role sits at the intersection of sales, architecture, and business consulting. The primary objective is to increase win rates, shape large AI-led deals, and build a qualified automation pipeline across multiple business value chains. The ideal candidate combines strong AI and automation expertise with commercial acumen, storytelling ability, and executive engagement skills. Key Responsibilities 1. AI Opportunity Identification Across Value Chains • Identify automation and AI insertion points across various vusiness functions (Finance & Accounting, Supply Chain, Customer Operations, Procurement etc) and Industry-specific value streams, • Assess feasibility and ROI of AI-led transformation opportunities, • Define use cases involving LLMs, agentic workflows, RPA, ML models, and orchestration platforms, • Create reusable AI solution patterns across value chains 2. RFP & Proactive Deal Support • Lead AI solutioning for:, • RFP responses, • Client proposals, • Proactive pitches and strategic account mining, • Develop end-to-end solution approaches including:, • Architecture diagrams, • Operating model design, • Transition roadmap, • Risk and governance considerations, • Partner with sales and account teams to strengthen competitive positioning 3. Architecture & Solution Design • Design scalable AI-enabled automation architectures integrating:, • Hyperscaler AI services (Azure AI, AWS, GCP, OpenAI, Anthropic), • Enterprise platforms (SAP, Oracle, ServiceNow, CRM systems), • Data platforms and middleware, • Define:, • Agent-based automation models, • RAG architectures, • Process orchestration frameworks, • Human-in-the-loop governance models, • Ensure security, compliance, and responsible AI principles are embedded 4. Business Case Development • Build compelling financial and operational business cases including:, • Productivity impact, • Cost savings, • Revenue enhancement, • ROI and payback analysis, • Quantify transformation value across value chains, • Support deal pricing assumptions and margin analysis, • Develop executive-ready summaries for client decision-makers 5. Executive Presentations & Collateral Development • Develop high-impact PowerPoint presentations for:, • CXO conversations, • Board-level discussions, • AI governance committees, • Analyst briefings, • Translate technical AI concepts into clear business narratives, • Create reusable pitch decks and solution accelerators, • Maintain visual clarity and structured storytelling in all materials 6. Analyst & Market Collaboration • Work closely with industry analysts to:, • Articulate DPO’s AI differentiation, • Support analyst briefings, • Contribute to market positioning and reports, • Provide inputs for thought leadership, whitepapers, and POV documents, • Align AI offerings with industry trends and competitive benchmarks 7. Account Expansion & Existing Customer Engagement • Engage with existing DPO customers to identify AI-led transformation opportunities, • Conduct automation discovery workshops, • Develop AI transformation roadmaps for clients, • Support cross-sell and up-sell initiatives Required Qualifications • 10–15 years of experience in Solution Architecture, Consulting, or Digital Transformation, • Strong understanding of AI/ML, LLM-based architectures, and intelligent automation, • Experience supporting RFPs and complex deal pursuits, • Experience across multiple enterprise value chains, • Strong financial modeling and business case development skills, • Excellent PowerPoint storytelling and executive communication capability, • Familiarity with hyperscaler AI ecosystems, • Exposure to enterprise platforms (SAP, Oracle, ServiceNow), • Experience in agentic workflow design, • Consulting background preferred, • Experience working in global delivery models Behavioral Competencies • Strong strategic thinking and structured problem-solving, • High executive presence, • Ability to operate in ambiguous environments, • Strong influencing and stakeholder management skills, • Commercial mindset with outcome orientation, • Strong collaboration across sales, product, and engineering teams

We are working with a highly regarded professional services firm seeking an experienced Executive Assistant to support senior partners within a high-performing Corporate team. The successful candidate will act as a true business partner to senior stakeholders, taking full ownership of diaries, inboxes, financial processes, and operational support, while contributing to continuous improvement across the team. This is a full-time, permanent role with hybrid working and great benefits. Key Responsibilities Partner & Stakeholder Support · Act as a professional, client-focused ambassador for partners both internally and externally · Build highly effective working relationships with multiple partners · Develop a strong understanding of partners’ practice areas, clients, priorities, and strategic goals · Arrange and lead regular catch-ups with partners to review diaries, commitments, and priorities · Attend meetings, take minutes where required, and proactively follow up on actions Diary & Inbox Management · Take full ownership of complex and demanding partner diaries · Proactively manage conflicts, queries, and last-minute changes · Ensure partners are fully prepared for meetings and commitments · Manage inboxes on behalf of partners, including: · Drafting and sending emails · Highlighting urgent or sensitive correspondence · Redirecting client-critical emails to relevant fee earners or team members Financial, Billing & Matter Management · Demonstrate strong commercial and financial awareness · Coordinate billing processes on behalf of partners · Proactively organise WIP and financial review meetings · Work closely with finance teams and client administrators to meet billing deadlines · Take ownership of financial and matter management processes, including chasing unpaid bills · Handle complex compliance and billing-related matters Business Development & Marketing Support · Liaise with Marketing and Business Development teams · Coordinate BD activities for the Corporate team · Assist with the preparation of pitches, presentations, and client materials · Play a key role in organising client events, seminars, and conferences Travel & Logistics · Arrange complex travel end-to-end, including: · Flights, accommodation, visas, and currency · Manage arrangements in line with individual preferences · Ensure diaries are fully updated with all travel details Process Improvement & Leadership · Introduce and implement best practice operational processes · Act as a role model and change agent within the support function · Work closely with the Secretarial Team Leader to improve ways of working · Take full ownership of tasks, managing workload against deadlines and business needs Working Environment · Collaborative, inclusive, and high-performing culture · Hybrid working model, balancing office presence with flexibility · Central London office location · Strong emphasis on wellbeing, teamwork, and professional growth Essential Skills & Experience · Proven experience supporting senior partners or executives in a Corporate department within a law firm or professional services environment · Exceptional diary and inbox management skills · Strong commercial and financial awareness · Highly organised, proactive, and detail-focused · Confident communicator with strong stakeholder-management skills · Comfortable working at pace and handling competing priorities For further information please contact Ella or Jess

Exciting opportunity with our client to help build global infrastructure and teams from the ground up. We will share more about our client! What makes this especially compelling is that you’re not just stepping into a role — you’re helping shape how the business operates moving forward, with real visibility and impact. It’s a chance to be part of a well-known global brand at a pivotal moment of their transformation and growth. Role Overview We are looking for an exceptional Company Secretary (CoSec) to lead the governance and corporate secretarial vision, strategy, and execution for a standalone business being carved out of its existing corporate parent. The Company Secretary will play a pivotal role in shaping the future of a multi‑billion‑dollar, 6,000+ employee global company operating in more than 120 countries. This role is ideal for a proven corporate governance leader who appreciates complexity, transformation, and value creation, and who wants to own and enhance the company secretarial agenda with autonomy and strong sponsorship from a leading private equity-backed joint venture. Key Responsibilities Separation, Stand-Up & Transition • Assume end‑to‑end leadership of the NewCo CoSec function upon transition from carve-out mode to business‑as‑usual, taking formal ownership of systems, contracts, processes, and governance frameworks., • Partner closely with executives, directors, JV partners (including PE sponsors), and other senior leaders to confirm and refine the target‑state governance and corporate secretariat operating model across the NewCo and its legal entities., • Support ensuring Day 1 readiness and continuity for all core CoSec activities, including Board and committee support, statutory filings, share registers, director and officer appointments, and legal entity management, • Assist with Seller-led entity formation and legal reorganisation activities, ensuring alignment with separation timelines and Day 1 readiness., • Provide input into the integration of governance during the sign-to-close period, including interim decision-making frameworks, oversight structures, and early-stage board and compliance set-up pre-close., • Contribute to policy development and governance model mobilisation, including prioritisation of Day 1 / 100-day policies and coordination of key governance-related hiring and onboarding activities., • Support a smooth handover from external programme teams and advisors, ensuring knowledge transfer, clear ownership, and continuity of key activities post close. Board, Governance & Compliance • Own and maintain the group’s governance framework, including Board and committee terms of reference, matters reserved for the Board, delegated authorities, and decision-making protocols., • Coordinate all Board and committee activities, including annual calendars, agendas, paper preparation, minute‑taking, and action tracking, ensuring high‑quality information and effective meetings., • Oversee statutory and regulatory compliance for all legal entities, including company filings, registers, director obligations, corporate records, and company name changes as required., • Support the governance of key group‑wide policies, ensuring alignment with the governance framework and joint venture sponsor expectations. Global Entity Management, Delegations & Assets • Own the legal entity lifecycle management framework covering more than 120 countries, including corporation, director/officer appointments and resignations, changes to share capital, and dissolutions where appropriate., • Oversee the custody and control models for all statutory physical assets (seals, chops, stamps, minute books) and digital records, including chain-of-custody processes and periodic reviews., • Ensure registered office arrangements, statutory books, and other entity-level requirements are implemented and maintained post-close. Leadership, Risk & Stakeholder Management • Embed CoSec considerations into the broader risk and controls framework., • Act as a trusted partner to the General Counsel, executives, board, and other senior stakeholders, and support shareholder-related processes for the PE sponsor and minority investors., • Develop key governance contacts across the business, building governance awareness and capability across the organisation. External Providers, Systems & Contracts • Provide strategic oversight of CoSec advisory and outsourcing providers, including primary advisory firm(s), entity administration providers, registered agent services, director training services and local notaries., • Own ongoing management of related contracts (including entity databases and other third-party services), ensuring service quality and clear SLAs., • Assess balance of outsourced vs. in-house activities over time, based on risk, cost and capability, and adjust the operating model accordingly. Experience & Qualifications • Proven company secretary or governance leadership experience in a large‑scale global company, ideally within an industrial or manufacturing environment., • Strong track record of working with Boards, Chairs, and C‑suite executives, with the presence and credibility to operate as a trusted adviser., • Experience supporting carve‑outs, large transformations, or complex group reorganisations involving multiple jurisdictions., • Demonstrated ability to operate across multiple regions and legal entities, managing governance and entity‑level complexity in a global footprint., • Deep technical knowledge of UK company law and corporate governance, with familiarity with international governance practices and regulatory expectations., • Strategic mindset paired with hands‑on operational discipline; ability to take over and optimise a newly implemented operating model, not just run a steady‑state function., • Relevant professional qualification (e.g., Chartered Governance Professional / Chartered Secretary, qualified solicitor, or equivalent) strongly preferred. What Makes This Opportunity Unique • Iconic brand: Help shape the governance foundation of a globally recognised lubricants brand with strong market visibility., • Transformation at scale: Lead governance and company secretarial activity for a complex, multi‑jurisdictional group operating in over 120 countries and across multiple legal entities., • High-impact role: Directly influence Board effectiveness, decision‑making quality, regulatory compliance, and governance culture across the organisation., • Autonomy with strong sponsorship: Operate with clear backing, decision velocity, and a sharp value‑creation mandate within a private equity-backed joint venture. Compensation Competitive executive compensation package

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

In this fully employed position Partners are given the flexibility of a self-employed model with full responsibility for becoming the best Estate Agent in their local area. Ideal Partners have an entrepreneurial spirit and a desire to become the best Estate Agent in their area. The Spicerhaart group

A dynamic technology company in Central London is looking for a Customer Support Agent to enhance the support experience for restaurant partners.This full-time role, offered in a hybrid model, involves responding to customer inquiries, troubleshooting product issues, and fostering strong client rela

Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster. At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, youll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global community on a mission to make an impact. Diligent is seeking a highly professional and motivated individual who can blend technical expertise with commercial acumen to uncover and develop impactful solutions for prospects and customers. This role requires exceptional communication skills and the ability to build strong relationships, as you will engage directly with senior leaders of multinational organisations and key stakeholders in the GRC and ESG domains. • Deliver compelling software demonstrations within tight timelines, accurately identifying and packaging the right solutions., • Own the pre-sales technical win by mastering the Diligent sales process., • Articulate the cross-platform value of the Diligent Platform with a clear understanding of its overarching vision., • Present confidently to diverse audiences, including operational, managerial, and executive stakeholders., • Support onboarding of new team members by sharing effective presentation techniques., • Create solution design documents that address identified business challenges and objectives., • Utilise sales tools (e.g., Gong, Salesforce, PowerPoint) to enhance presentations and engagements., • Support marketing initiatives such as webinars, conferences, and white papers., • Collaborate with Product Management on new features, upgrades, and domain-specific insights., • Demonstrate familiarity with Audit, Risk Management, and IT Compliance practices., • Understand and apply risk management frameworks such as ISO 31000, COSO ERM, and NIST RMF., • Employ methodologies for identifying, assessing, and mitigating risks using GRC platforms and related technologies., • 3–5 years of relevant experience in solutions engineering within the Risk & Audit domain., • Proven expertise across SaaS solutions to support deal qualification and closure., • Excellent communication and interpersonal skills., • Strong collaboration with sales teams to foster productive and positive relationships., • Contribution to team sales targets and quotas., • Consistently high customer satisfaction ratings aligned with company standards., • Completion of required training and development within designated timelines., • Self-driven and quick to acquire new technical and domain knowledge., • Professional presentation skills across various communication channels (email, written, verbal)., • Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients, • We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few, • We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney. Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community. We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligents EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at . To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

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

Inbound Sales & Customer Service Agent - Danish Speaking Location: Hybrid (Head Office in Canary Wharf, London) Salary: £27,768 + benefits Commission: Uncapped commission structure with monthly payouts (OTE £500 per annum) Hours: Full-time, 37.5 hours per week TeamJobs are advertising for a Danish-speaking Inbound Sales & Customer Service Agent to join a busy and growing team within the travel sector. This is a fantastic opportunity for someone who is passionate about delivering exceptional customer service while also having a natural flair for sales. This role offers a hybrid working model, with a modern head office based in Canary Wharf. The Role: You will be handling inbound calls from customers, supporting with both sales enquiries and service requests. You will take the time to understand customer needs, recommend suitable holiday options and maximise every opportunity to enhance the customer experience. Key Responsibilities: Handling inbound calls for both sales and customer service enquiries Managing service requests through internal systems Identifying customer needs and generating sales opportunities Amending, cancelling or confirming existing bookings Upselling additional products, services and extended staysAbout You: Fluent in Danish and English Strong communication and interpersonal skills A natural ability to influence and drive sales Previous experience in a customer service or sales environment Able to work in a fast-paced environment with strong attention to detail Resilient, professional and motivated to achieve targets Confident multitasker with a positive, proactive attitudeTraining & Development: Full product and system training provided Sales and customer service training Clear progression opportunities into roles such as Social Media, Guest Relations, Outbound, Training, Quality or Team ManagementWorking Hours: Shifts will fall between: Monday to Friday: 8am - 8pm Saturday: 8am - 4pm Sunday: 9am - 4pm You will be required to work one weekend day every other week, with a weekday off in lieu.Benefits: 20 days holiday plus bank holidays, increasing with service BUPA Life Insurance Perkbox and corporate discounts Eye care vouchers Onsite training and modern facilities Smart casual dress code Regular incentives, rewards and recognition Recommend a friend scheme Opportunities for apprenticeships and NVQ qualifications Charity and fundraising eventsDue to the nature of the role, successful candidates will be required to provide references covering the last 3 years and may be subject to background checks. COMLP

A well-established London-based property investor and developer has recently expanded its portfolio with the acquisition of a third commercial building in the Blackfriars area. The scheme will deliver a high-quality Cat A office refurbishment, and we are now seeking a Senior Project Manager to take full responsibility for the successful delivery of this flagship project. Uniquely, the business operates in a fully integrated model, acting as both client and main contractor on its developments. This removes traditional delivery layers and enables a direct, streamlined decision-making process, with full ownership and accountability sitting within the project team. Key Responsibilities: You will lead the end-to-end delivery of a Cat A commercial office fit-out, overseeing programme, cost, quality, and site execution. Working closely with internal development, design, and construction teams, you will ensure the successful delivery of a high-specification office scheme in a live central London environment. A key aspect of this role is strong commercial control from a client-side perspective - ensuring cost certainty is maintained from early design through to final account. This includes leading procurement strategy, managing contractor and trade packages, controlling change, and protecting overall project value through disciplined cost planning, forecasting, and risk management. * Full project leadership from pre-construction through to handover * Managing Cat A office fit-out works in Blackfriars * Coordinating design development, procurement strategy, and site delivery * Maintaining robust cost control and commercial governance across all stages * Leading procurement of contractors and specialist packages * Managing variations, change control, and cost-to-complete forecasting * Ensuring programme certainty and quality standards are achieved * Reporting directly into senior leadership within the business The Ideal Candidate: This opportunity is best suited to someone with a strong commercial / quantity surveying background, ideally someone who has progressed into a Project Management or delivery leadership role. You will likely have: * Proven experience delivering Cat A commercial office fit-outs in London * A background in quantity surveying, commercial management, or cost consultancy * Experience in a Senior Project Manager / Project Manager / Employers Agent capacity * Strong understanding of procurement strategy, cost control, and contract administration * Confidence working within both client-side and main contractor environments * A proactive, hands-on approach with strong stakeholder management skills This is an excellent opportunity for a commercially minded construction professional to take ownership of a landmark London office scheme within a fast-moving, integrated delivery structure. If you are well suited to the position, please apply through the link and we will contact you for a confidential discussion

Self Employed Protection Insurance Adviser (Trainees welcome) Location: Hammersmith – FT Office-based Capricorn is London’s largest independent mortgage brokerage and one of the UK’s fastest-growing financial consultancies. With offices in Hong Kong, Singapore, and Shanghai, we operate in high-value property finance and protection markets — and we’re looking for exceptional people to own and grow our protection business. This is a commission only high-impact, high-reward protection sales role with hot inbound leads, no cold calling, and a proven model: * £1,000+ per policy (typical) * Clients who need you — not who need convincing * Advisers feeding you qualified leads daily Realistic OTE: * Year 1: £30,000–£50,000 * Year 2: £80,000–£120,000 * Year 3: £150,000+ * Year 4: £175,000+ What You’ll Be Doing: * Convert live, qualified mortgage leads into protection business — no cold sourcing * Work closely with your adviser pod to maximise referral volumes and retention * Deliver honest, client-first advice with precision, urgency, and follow-through * Own your pipeline — from contact to completion * Learn, grow, and earn — with clear targets and ongoing coaching What You Bring: We’re not hiring on years of experience. We’re hiring on attitude, accountability, and commercial instinct. You might be: * A sales professional looking to be paid what you’re worth * A former recruiter, estate agent, or BDM who owned their numbers * A protection adviser who wants a bigger platform Essential characteristics: * Commercial hunger & performance mindset * Clear understanding of income = activity * Able to work fast, handle multiple cases, and follow through * Confident communicator who builds trust * RO5 qualified (or willing to complete pre-start) Why Capricorn? * No cold calling — warm referrals from 150+ introducers + 70+ advisers * Top-tier tech: Smartr365, Openwork product suite, admin support * Real coaching — not just onboarding * Earn more, faster — we reward delivery, not tenur Applicants must have the right to work full-time in the UK without current or future sponsorship. Closing date for applications will be Friday 8th May. Due to high application volumes, we will only contact shortlisted candidates

Contract Full-Stack JavaScript Developer (AI Platform) Location: 3 days per week in London Office Duration: 4 weeks with a longer term extension afterwards. IR35 Status: Outside IR35 Rate: £500p/d – £600p/d Opus is partnering with a cutting-edge FinTech start-up to secure a Contract Full-Stack JavaScript Developer. You’ll be joining a small, high-calibre team building a platform to improve workflows within the the FinTech space. They have a genuinely interesting problem at the intersection of frontend engineering, backend systems, and applied LLM tooling. This is a true 0–1 build, ideal if you enjoy ownership, clean abstractions, and shipping product quickly. What You’ll Be Working On Building and extending agent-driven workflows. Developing context management and LLM entry points. Only application-layer LLM integrations, not model training) Expanding slide generation functions and data structures. Full-stack feature development, with a frontend-heavy bias Collaborating closely with product and engineering stakeholders in a fast-moving environment ️ Tech Stack Next.js TypeScript Tailwind CSS Node.js PostgreSQL Claude Agent SDK Pydantic AWS Terraform Modal Sandboxes Interested? Apply now or send your latest CV to (url removed) ASAP! If you haven’t heard back within 48 hours, please assume your application was not successful this time

A respected London-based property consultancy is seeking a qualified Building Surveyor (MRICS) with minimum 2 years PQE to join their busy Building Surveying team to come in at either Senior or Associate level. Role overview You will work on a well-balanced portfolio, with around 20% of your time spent on pre-acquisition surveys of high-end residential properties valued between £2 million and £100 million. The majority of your workload will involve commercial work with a significant amount of occupier-side corporate projects, including fit-outs, dilapidations, and office relocations for blue-chip clients. Key responsibilities Conduct building surveys, pre-acquisition surveys, and due diligence reporting. Prepare and negotiate Schedules of Dilapidations. Produce Schedules of Condition and Reinstatement Cost Assessments. Deliver feasibility studies, defect diagnosis, and planned maintenance strategies. Oversee development monitoring for landlords, tenants, and funders. Act as Contract Administrator or Employer’s Agent on refurbishment, fit-out, and new build projects. Manage occupier-side fit-outs and relocations (typically 5,000–20,000 sq ft). Coordinate with Project Management and Quantity Surveying teams. Provide technical and strategic advice to corporate occupier and high-end residential clients. Candidate profile MRICS-qualified Building Surveyor with 2–15 years’ PQE. Strong commercial surveying experience; some residential experience advantageous. Experience of dilapidations, pre-acquisition, and fit-out projects preferred. Excellent technical, reporting, and client management skills. Ability to manage projects independently within a multi-disciplinary team. Team & culture Join a London office with 120 staff and a 20-strong Project & Building Consultancy team. Work in a professional, collaborative environment servicing commercial, residential, and rural clients. Hybrid working model: typically three days in the office, two from home (site visits count as office days). Why apply? Competitive salary: £60,000 – £85,000 depending on experience. Engage with high-profile corporate and residential clients. Be part of a company with a strategic growth plan, a flat structure, and a heritage of quality Benefit from strong leadership, ongoing investment in people and technology, and a partner-led culture. Click Apply or get in touch for a confidential conversation with Andrew Pearson at EC Property Recruitment. My contact number is (phone number removed) and you can find all my details on LinkedIn