Security agent jobs in United Kingdom

Front Office Agent - London Located in Knightsbridge on the edge of Hyde Park, Bvlgari Hotel London is an elegant urban retreat renowned for its contemporary design, discreet service and exceptional attention to detail. Since opening in 2012, the hotel has set new standards in luxury hospitality, blending Italian heritage with world class five star service. We are seeking a Front Office Agent to join our Front Office team and become a key representative of the Bvlgari brand, delivering a refined and personalised guest experience from arrival to departure. As a Front Office Agent, you will be a central point of contact for our guests, responsible for providing a warm, professional and seamless welcome. You will manage check in and check out processes with accuracy and discretion, handle guest enquiries with confidence, and work collaboratively with multiple departments to anticipate needs and resolve requests efficiently. This role requires exceptional attention to detail, composure under pressure and a natural passion for service excellence. You will be empowered to make thoughtful decisions that enhance the guest experience, ensuring every interaction reflects the luxury and sophistication synonymous with Bvlgari Hotel London. Key Responsibilities • Delivering a courteous, efficient and personalised check in and check out experience, • Managing guest accounts, payments and cashiering procedures accurately, • Coordinating room assignments, upgrades, room moves and sell out days, • Handling guest enquiries, requests and complaints with professionalism and discretion, • Maintaining detailed knowledge of hotel facilities, services, rates and promotions, • Liaising closely with Reservations, Housekeeping, Engineering and other departments, • Accurately updating guest profiles, preferences and operational logs, • Ensuring confidentiality, data protection and security at all times What We Are Looking For To be successful in this role, you will have previous experience within Front Office or guest facing hospitality roles, ideally within a luxury or five star environment. You will communicate confidently in English, additional languages are advantageous. You will demonstrate immaculate presentation, a calm and engaging manner, strong organisational skills and the ability to remain composed and professional in a fast paced environment. Flexibility is essential, as shifts will include evenings, weekends and holidays. Why Join Bvlgari Hotel London At Bvlgari Hotel London, you will be part of an iconic luxury brand celebrated for craftsmanship, elegance and exceptional service. We offer a supportive and inclusive working environment where development, wellbeing and high professional standards are genuinely valued. You will work alongside accomplished hospitality professionals who share a passion for excellence, representing a brand synonymous with sophistication, discretion and authentic Italian hospitality. Join us, and take pride in delivering thoughtful, refined service at the heart of every guest journey.

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 • Send a short note to rajen@governr.ai explaining, in your own words, why this role and why now. No cover letter template. No CV tricks. Tell us your experience. Be ready to talk over a 20-min coffee or a call over the weekend or in the evening

We’re Hiring – Estimator London | Up to £42,000 per annum, depending on experience | Hybrid working available I Full time* Are you ready to join a world-renowned team at the heart of the art logistics industry? Momart is looking for a motivated and detail-driven individual to join our team. If you thrive in a collaborative environment, enjoy solving complex logistical challenges, this could be the role for you. You’ll work closely with our estimators and exhibitions teams to prepare accurate and timely estimates and tenders that support the safe transportation and installation of fine art across the UK and internationally. What you’ll bring: • Strong logistical thinking and numerical confidence, • Excellent communication and customer-facing skills, • A methodical mindset with keen attention to detail, • Problem-solving abilities and a collaborative approach, • Solid IT skills, • Previous experience in logistics, or the art world is a plus What we offer: • Salary up to £42,000 per annum, depending on experience, • Hybrid working, • Company pension, • Life Assurance & Permanent Health Insurance, • Enhanced Maternity and Paternity Scheme, • Access to Museum Association cards, • 24 days holiday plus Bank Holidays (increased after 2 years), • Cycle to Work and Travel to Work Loan Scheme, • Eye care policy, • Employee Assistance Programme (EAP) Company Description Momart is the premier fine art handling, shipping and storage company in the UK. Established in 1972, we have world-class reputation for providing solutions to the most complex art transport and installation challenges. We have been involved in handling many of the world’s most prestigious fine art objects and are now the agent of choice for the many national museums, art galleries and private collectors. • All employees have the legal right to request flexible working We are committed to encouraging equality, diversity and inclusion among our workforce, and eliminating unlawful discrimination Please note: As a Regulated Agent, Momart Ltd. is required to carry out reference checks on all our employees. It is an offence under the Aviation Security Act 1982 as amended by the Aviation & Maritime Security Act 1990 and the Anti-terrorism, Crime and Security Act 2001, to give false information regarding this reference.

My global consultancy client is looking for both an AI Architect & Developer for one of their next generation financial services projects. AI Developer Position Contract Length - 6 months (potential for extension) Location - London (Hybrid 2-days per week onsite) Rate - £580/day (Inside IR35) What you'll do • Build and ship end-to-end AI/ML features, from data ingestion and training to deployment, MLOps workflows, CI/CD, and model versioning, • Develop LLM/GenAI solutions: prompt engineering, RAG pipelines, embeddings, vector search, and inference optimisation (LoRA/PEFT, quantisation, GPU/TPU), • Own observability across data, models, and prompts; run A/B tests, drive evaluation, and embed Responsible AI practices throughout What you'll need • Hands-on LLM/GenAI experience (Gemini or open source) including fine-tuning, RAG pipelines, prompt engineering, and graph-based workflows (ADK, MCP), • Strong Python, API/microservices development, GCP (Vertex AI, BigQuery), CI/CD, and containerisation (Docker, Kubernetes) Nice to have: ML frameworks (PyTorch, TensorFlow, Hugging Face), MLOps practices, API Gateway/ISTIO, IAM/data governance, Responsible AI standards AI Architect Position Contract Length - 6 months (potential for extension) Location - London (Hybrid 2-days per week onsite) Rate - £750/day (Inside IR35) What you'll do • Define and own the enterprise AI architecture vision, reference patterns, guidelines, reusable components, and long-term roadmap aligned to business goals, risk posture, and engineering standards across cloud and hybrid environments, • Design secure, scalable AI solutions end-to-end: data ingestion, feature engineering, model training, inference, feedback loops, and MLOps/LLMOps pipelines with CI/CD, versioning, and reproducibility, • Establish integration patterns (APIs, events, microservices) and agentic architectures (multi-agent orchestration, planner-executor, supervisor-worker) to embed AI capabilities into existing platforms and workflows, • Operationalise observability, zero-trust security (BeyondCorp, IAM least-privilege), and model/LLM telemetry — ensuring audit-ready agent interactions, decision provenance, and AI quality metrics, • Collaborate across product, data science, engineering, security, and business stakeholders to translate architecture into high-value solutions, selecting the right frameworks, cloud services, and orchestration tools throughout What you'll need • 7+ years designing enterprise AI/agentic architectures using multi-agent orchestration frameworks (LangGraph, Google ADK, MCP, A2A) with hands-on LLM, prompt engineering, and tool/function calling experience, • Deep knowledge of RAG patterns, vector databases, embeddings, API-first integration, event-driven architectures, and GCP (or equivalent hyperscale) Nice to have: MLOps/AgentOps, model governance, FCA/PRA compliance, regulated financial services, real-time and streaming inference, IAM/VPC security patterns

Dynamics 365 Contact Center & Customer Service Architect Shape Customer and Colleague Service Experiences with KPMG UK KPMG’s Microsoft Business Solutions practice is one of the most experienced and fastest‑growing Microsoft transformation teams in the UK. We work with organisations to modernise customer service and contact centre operations using Dynamics 365 Contact Center, Dynamics 365 Customer Service, Power Platform, and Copilot‑enabled experiences. Our focus is on designing service models that work in practice — across voice and digital channels, agent and supervisor experiences, and end‑to‑end customer journeys. We value clarity, empathy for users, and functional designs that are grounded in real operational needs. The Role As a Functional Architect specialising in Dynamics 365 Contact Center and Customer Service, you will be responsible for owning the functional design of modern contact centre and service solutions. You will work closely with clients, product owners and delivery teams to understand service operations, customer journeys and business outcomes, and translate them into clear, implementable functional designs using standard Dynamics 365 capabilities wherever possible. This is a hands‑on delivery role. You will lead functional workshops, shape solution configuration, guide functional consultants, and support delivery through build, test and go‑live. You will partner closely with Technical Architects to ensure functional designs are feasible, scalable and aligned to the overall solution architecture. Key Responsibilities Functional Solution Design • Own the functional design of Dynamics 365 Contact Center and Customer Service solutions, covering cases, interactions, queues, routing, knowledge, and service processes., • Translate business requirements into clear functional designs, user stories and configuration approaches., • Drive a “configure first” mindset, minimising unnecessary customisation. Contact Center & Omnichannel Design • Design end‑to‑end service journeys across voice, chat, email, messaging and social channels., • Define queue models, skills, routing rules and work distribution, aligned to operational goals., • Shape agent and supervisor experiences, including productivity tools, dashboards and insights. Client & Stakeholder Engagement • Lead functional workshops with service leaders, operations teams and frontline users., • Act as a trusted functional advisor, helping clients understand product capabilities, constraints and trade‑offs., • Clearly articulate functional options and recommend practical solutions. Configuration & Delivery Support • Guide and review configuration across Customer Service Hub, Contact Center capabilities and Power Platform., • Support functional testing, UAT preparation and defect triage., • Remain actively involved through go‑live and early‑life support. Adoption, Quality & Governance • Design with adoption in mind, considering usability, role clarity and operational readiness., • Ensure functional designs support reporting, quality management and continuous improvement., • Maintain clear and usable functional documentation. Collaboration with Technical Architecture • Work closely with Technical Architects to align functional requirements with technical design., • Highlight non‑functional considerations early, including performance, scalability and security., • Support integration and data design discussions from a functional perspective. Presales & Early Shaping • Contribute to proposals, demos and early solution shaping for contact centre and service transformations., • Support estimations and scope definition by clearly articulating functional complexity and dependencies. What You’ll Bring We do not expect every candidate to cover every area. What matters most is strong functional design capability, contact centre understanding, and confidence working with clients and delivery teams. Essential • Strong experience delivering Dynamics 365 Customer Service and/or Contact Center solutions in a functional role., • Solid understanding of service operations and contact centre processes, including case management and interaction handling., • Experience designing omnichannel journeys, queues, routing and agent experiences., • Comfortable leading workshops, documenting requirements and producing functional designs., • Experience supporting configuration, testing and go‑live activities., • Ability to work collaboratively with Technical Architects and development teams., • Confident communicator with clients and internal stakeholders., • Relevant Microsoft certifications or a clear commitment to achieving them. Desirable • Experience with other CCaaS platforms like AWS, Gensys etc., • Exposure to Copilot for Service, Copilot Studio or conversational AI from a functional design perspective., • Experience with D365 Customer Insights, knowledge management or workforce management concepts., • Familiarity with Power Platform capabilities used to extend service experiences., • Awareness of new Dynamics 365 releases and roadmap. Why Join KPMG’s Microsoft Business Solutions Team? • Design real‑world service experiences: Work on programmes that directly impact customers, agents and service leaders., • Strong delivery focus: Be part of teams that care about adoption, usability and operational success., • Collaborative architecture model: Work closely with technical specialists while owning functional outcomes., • Opportunities to grow: Develop deeper product expertise or progress towards Solution or Lead Architect roles., • Microsoft partnership: Access early insight into new service and contact centre capabilities., • A culture of clarity and pragmatism: We value thoughtful design, open discussion and sustainable solutions. If this sounds like the kind of role you want to do, we’d genuinely love to speak with you.

Senior Agentic & Generative AI Consultant Location London, United Kingdom (Hybrid) Role Overview We are seeking a Senior Agentic & Generative AI Consultant who is a recognized thought leader and hands on practitioner in modern AI systems. This individual will play a pivotal role in shaping AI led transformation for enterprise clients, leading complex deals, architecting solutions, and translating cutting edge AI capabilities into measurable business outcomes. This role requires a rare combination of deep technical expertise, strategic thinking, and client facing leadership. The successful candidate will work closely with business leaders, architects, and delivery teams to design and deliver agentic, generative, and enterprise scale AI solutions, while also influencing AI strategy and go to market motions. Key Responsibilities AI Strategy & Thought Leadership • Act as a senior thought leader in Agentic AI and Generative AI, shaping client conversations, executive briefings, and AI transformation roadmaps, • Advise C suite and senior stakeholders on AI strategy, operating models, governance, and responsible AI adoption, • Contribute to internal AI points of view, reference architectures, accelerators, and best practices, • Stay ahead of industry trends in agentic systems, foundation models, orchestration frameworks, and enterprise AI platforms Deal Leadership & Solutioning • Lead AI led deal pursuits, including opportunity shaping, solution design, estimations, and executive presentations, • Own the end to end solution architecture for complex AI engagements, from discovery through implementation, • Partner with sales, industry leaders, and delivery teams to craft compelling AI value propositions and business cases, • Act as a trusted advisor during client evaluations, PoCs, and pilots Hands on Technical Leadership • Design and guide the implementation of Agentic AI systems, including: o Multi agent architectures o Tool using and reasoning agents o Human in the loop workflows o Orchestration and memory patterns • Lead solution design using Generative AI and LLM ecosystems, including: o Prompt engineering and prompt pipelines o RAG (Retrieval Augmented Generation) architectures o Model fine tuning and evaluation strategies • Provide technical oversight and mentoring to engineering and data science teams Enterprise AI Delivery & Governance • Design AI solutions that integrate with enterprise systems (e.g., ERP, CRM, digital platforms, data platforms), • Ensure solutions align with security, compliance, data privacy, and responsible AI principles, • Define AI operating models covering lifecycle management, monitoring, cost optimization, and scalability Required Skills & Experience Core Experience • 15+ years of experience in technology consulting, digital transformation, or advanced analytics, • 5+ years of hands on experience in AI / ML, with strong recent focus on Generative AI and Agentic AI, • Proven experience leading complex enterprise deals and large scale solutioning efforts Technical Expertise • Strong hands on experience with: o Large Language Models (LLMs) and GenAI platforms o Agentic frameworks and orchestration patterns o RAG pipelines, vector databases, and embeddings • Experience across major AI ecosystems (e.g., cloud AI platforms, open source LLM tooling), • Solid understanding of data engineering, APIs, and enterprise integration patterns Consulting & Leadership Skills • Strong client facing presence, capable of leading executive level discussions, • Ability to translate complex AI concepts into clear business value narratives, • Experience mentoring senior architects, engineers, and consultants, • Comfortable operating in ambiguous, fast evolving AI landscapes Nice to Have • Experience with enterprise platforms (e.g., ERP, digital experience platforms, CRM, or industry specific systems), • Exposure to regulated industries (financial services, healthcare, public sector, etc.), • Publications, speaking engagements, or visible contributions to the AI community, • Experience shaping AI Centers of Excellence (CoEs) or enterprise AI operating models What We Offer • Opportunity to shape and lead AI transformation for global enterprises, • Work at the forefront of Agentic and Generative AI innovation, • High impact role with visibility across senior leadership and marquee clients, • Competitive compensation and benefits, • Flexible working model based in London

Company Description BLACKLINE is an exclusive private membership platform designed to provide an exceptional experience in aesthetics, wellness, fitness, and personal care across London. We pride ourselves on a meticulously curated network of top-tier operators to meet members' high standards. With a focus on personalized attention, BLACKLINE offers a seamless and bespoke experience. Membership is granted selectively, catering to individuals who value excellence and exclusivity. 🧠 Technical Co-Founder / CTO — BLACKLINE Overview BLACKLINE is a private, invite-only membership across London focused on health, beauty, and personal care. We are building a concierge layer powered by AI — designed to handle booking, coordination, and member preferences across messaging and voice, with the standard and discretion expected of a private members’ network. This is not a typical startup role. We are building infrastructure for experience, not a product for scale. ⸻ What You’ll Build You will architect and ship the BLACKLINE Concierge Agent, operating across: 1. WhatsApp (Primary Interface) • Natural conversation handling (LLM-driven), • Booking coordination with providers, • Memory of member preferences, • Context-aware responses (time, location, history) 1. Voice (Phone Concierge) • Real-time conversational agent, • Natural, human-like voice (e.g. ElevenLabs or equivalent), • Call handling (inbound + outbound), • Seamless escalation to human when required 1. Backend Intelligence Layer • User profiles + preference memory, • Provider availability + scheduling logic, • Workflow orchestration (requests → bookings → confirmations), • CRM integration ⸻ Core Responsibilities • Design and build the end-to-end AI concierge system, • Select and integrate LLMs, voice models, and orchestration frameworks, • Build WhatsApp automation (e.g. via Twilio, Meta APIs, or equivalent), • Implement real-time voice pipeline (speech-to-text → reasoning → text-to-speech), • Ensure low latency and high reliability, • Maintain strict data privacy and security standards, • Define architecture that scales without degrading experience ⸻ Technical Requirements You should have strong hands-on experience in: AI / LLM Systems • Prompt engineering + agent design, • Tool use / function calling, • Memory systems (vector DBs, session memory), • Multi-step workflow orchestration Voice Systems • Real-time speech pipelines (STT / TTS), • Latency optimisation for conversational flow, • Experience with providers like ElevenLabs or similar Messaging Infrastructure • WhatsApp API integrations, • Event-driven systems, • Webhooks and async processing Backend Engineering • Node.js / Python (preferred), • API design, • Database design (relational + vector), • Cloud infrastructure (AWS / GCP) ⸻ What We Care About (More Than Stack) • You ship fast — not just design systems, • You understand user experience in conversation, not just code, • You can balance automation vs human touch, • You care about detail, tone, and discretion This is not: • a chatbot, • a support tool, • a generic AI assistant It must feel like: 👉 a private concierge that already knows the member ⸻ Nice to Have • Experience building AI agents in production, • Experience with booking / scheduling systems, • Familiarity with CRM tools (HubSpot, custom pipelines), • Background in high-end consumer or service experiences ⸻ Stage & Commitment • Early-stage / pre-scale, • Building MVP → live concierge → refined system, • Equity-based co-founder role, • London-based preferred (not mandatory) ⸻ What Success Looks Like • A member can message or call BLACKLINE, • Make a request in natural language, • Have it handled seamlessly end-to-end No friction. No repetition. No drop in standard. ⸻ Why This Matters Most AI products optimise for efficiency. We’re optimising for: • trust, • consistency, • experience If you get this right, you’re not building a feature — • you’re building the operating system of the brand.

Artificial Intelligence Engineer McCabe & Barton London Area, United Kingdom (Hybrid) Save Apply AI Engineer - Agentic AI & LLM Solutions Leading Investment House | London/Hybrid | Contract | Competitive Day Rate About the Opportunity We are seeking an experiencedAI Engineer to join a leading global investment house embarking on an ambitiousAI transformation programme . This is a high-impact contract role focused on buildingend-to-end agentic AI and LLM-based solutions that solve real business problems across trading, operations, research, and front-office functions. You'll work directly with business stakeholders to understand workflows, design intelligent automation solutions, and rapidly prototype working AI systems that deliver measurable value. Key Responsibilities: AI Solution Design & Delivery • Buildend-to-end agentic AI and LLM-based solutions from concept to deployment, • Design AI architectures that map toreal business problems in investment banking, • Rapidly prototype and iterate AI solutions based on stakeholder feedback, • Move quickly from business brief to working solution - velocity is critical, • Own delivery independently with minimal supervision Business Engagement & Requirements: • Engage directly withbusiness stakeholders (traders, analysts, operations, research teams) to understand workflows and pain points, • Translate business requirements intoAI solution designs, • Demonstrate AI capabilities and educate stakeholders on art-of-the-possible, • Gather feedback and iterate solutions based on real user needs, • Communicate technical concepts to non-technical business audiences Technical Implementation: • Develop robustPython-based AI applications and agent systems, • Integrate LLM capabilities (OpenAI, Anthropic, Azure OpenAI) into business workflows, • Build agentic AI systems that can reason, plan, and execute multi-step tasks, • Implement RAG (Retrieval-Augmented Generation) pipelines for domain-specific knowledge, • Work with vector databases and enterprise data sources, • Integrate AI solutions with existing .NET/C# enterprise systems where required Innovation & Best Practices • Stay current with rapidly evolving LLM and agentic AI landscape, • Recommend appropriate AI frameworks and tools for different use cases, • Establish best practices for responsible AI deployment in regulated environment, • Balance innovation speed with security and compliance requirements Essential Skills & Experience AI & LLM Expertise • Proven experience building end-to-end agentic AI or LLM-based solutions in production environments, • Deep understanding ofLLM capabilities and limitations - knows when AI is (and isn't) the right solution, • Experience designingAI solutions that map to real business problems , not just technical demos or proof-of-concepts, • Track record ofdelivering working AI solutions that create business value Technical Skills • Strong Python development skills - production-quality code, not just notebooks, • Ability to architect and buildcomplete AI applications end-to-end, • Experience integrating AI capabilities into existing enterprise systems, • Understanding ofsoftware engineering best practices for AI systems Desirable Skills & Experience LLM & AI Frameworks • Experience with specificLLM providers (OpenAI, Anthropic, Azure OpenAI), • Familiarity withagent frameworks such as LangChain, LlamaIndex, AutoGen, or similar, • Experience buildingmulti-agent systems and orchestration workflows, • Knowledge ofprompt engineering and optimization techniques Technical Depth • C# / .NET background for enterprise integration in financial services, • Experience withRAG pipelines and vector databases (Pinecone, Weaviate, ChromaDB, etc.), • Understanding ofembedding models and semantic search, • Knowledge offine-tuning and model customization approaches

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

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

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

AI Engineer– Banking Transformation AI & Data | Financial Services | Technology & Transformation London (Hybrid) £55,000 – £75,000+Benefits A leading professional services organisation is seeking Senior Consultants and Managers – AI Engineers to join its AI & Data Financial Services practice, focused exclusively on AI transformation within Banking. This role sits within a high-performing engineering and delivery team helping major banks design, build, and scale AI-powered systems, agentic applications, and modern data platforms. You will work across the full lifecycle of AI delivery, from architecture and rapid prototyping through to production deployment and operationalisation of GenAI solutions supporting the modernisation of core banking systems through advanced machine learning and generative AI. The role blends hands-on engineering, solution design, and client-facing delivery, with increasing leadership responsibility at Manager level. Key Responsibilities • Translate banking client requirements into AI architecture strategies and delivery roadmaps, • Design, build, and deploy AI systems, including GenAI and agent-based applications, • Deliver rapid prototypes to validate technical and business use cases, • Build and maintain production-grade AI services and APIs (e.g. FastAPI or similar), • Collaborate with engineers, data scientists, architects, and business stakeholders to deliver end-to-end solutions, • Evaluate and implement AI technologies across open-source and commercial ecosystems, • Design integration patterns for enterprise banking environments, • Contribute to system architecture, design decisions, and technical documentation, • Support architecture governance, reviews, and design approvals, • Ensure solutions meet security, risk, and regulatory requirements, • Contribute to business cases, ROI analysis, and client proposals, • Engage directly with client stakeholders across technical and business teams, • Mentor junior engineers and support capability development within the team (Manager level) Required Skills & Experience • Strong background in software engineering or data engineering with applied AI (Python, SQL), • Experience delivering AI/ML or generative AI systems in production, • Strong understanding of LLMs, including:, • Retrieval-Augmented Generation (RAG), • Experience building or delivering agentic AI systems, • Strong Python engineering skills and experience building API-based services, • Experience with modern data architectures and system design, • Experience working in cloud environments (AWS, Azure, GCP, or Databricks), • Familiarity with CI/CD pipelines and modern engineering practices, • Experience with vector databases (e.g. Pinecone, Chroma), • Experience with agent frameworks (e.g. LangChain, LangGraph, or similar), • Understanding of AI evaluation frameworks and production readiness, • Experience working in Agile delivery environments (Agile, SAFe, XP, Jira, Confluence, etc.) Desirable Experience • Experience in Banking (essential focus area), • Exposure to Model Context Protocol (MCP), • Experience in regulated enterprise environments, • Understanding of MLOps / LLMOps practices, • Ability to contribute to ROI modelling, business cases, and AI value articulation, • Experience mentoring or leading delivery teams (Manager level) Role Focus by Level Senior Consultant – AI Engineer • Hands-on delivery of AI systems and prototypes, • Strong focus on engineering execution and solution build, • Supports architecture and design decisions, • Contributes to client delivery and documentation, • Works closely with senior engineers and stakeholders Manager – AI Engineer • Leads small technical squads and delivery workstreams, • Owns end-to-end delivery of AI solutions, • Makes architectural and technical decisions, • Leads client stakeholder engagement, • Supports estimation, planning, and ROI modelling, • Mentors and develops team members

Security Analyst- Ivanti Neurons We are currently recruiting for a Security Analyst with Ivanti Neurons experience to join one of our Insurance clients on a 6-month contract. Inside IR35 Hybrid- 2 days a week onsite in Reigate Responsibilities: • Support the day-to-day vulnerability and patch management operations using Ivanti Neurons, including discovery, risk assessment, prioritisation, deployment coordination, validation and reporting., • Maintain accurate asset and vulnerability coverage by monitoring agent health, scan cadence and data quality; work with endpoint and infrastructure teams to resolve gaps., • Perform risk-based vulnerability triage and analysis using factors such as CVSS, exploitability, asset criticality, exposure and compensating controls., • Coordinate routine and emergency patch cycles, including change planning, maintenance windows, pre deployment checks, rollback planning and post deployment verification., • Work with service and application owners to drive remediation of unpatchable vulnerabilities through configuration changes, mitigations, or documented risk acceptance., • Assess cloud security risks across the Azure estate using native and third party security tools., • Develop, maintain and evidence standards, procedures and secondary security controls to ensure policy and regulatory compliance., • Support audit and compliance activities by producing vulnerability and patch evidence, metrics and control narratives., • Identify and implement automation and continuous improvement opportunities across vulnerability and patch management workflows., • Collaborate with Incident Response, Threat Intelligence and Corporate Security teams to respond to actively exploited vulnerabilities and emerging threat trends. Experience • Strong working knowledge of Ivanti Neurons, cloud security controls and industry best practices., • Hands-on experience with the Microsoft security ecosystem, including Microsoft Defender for Cloud, Microsoft Sentinel, Azure Update Manager and core Azure services., • Demonstrated expertise in vulnerability management, risk assessment, mitigation strategies, and patch management within cloud-based environments., • Professional security certification, such as CompTIA Security+, SSCP, CISSP, or vendor-specific patch/vulnerability qualifications., • Working knowledge of the insurance or financial services industry and its risk and regulatory landscape., • Experience with third-party security tools, such as Wiz, Puppet and Nexpose., • Proficiency in scripting and automation, including Python, PowerShell, or similar languages., • Previous experience in a Security Operations role within a large or complex enterprise environment., • Strong understanding of cybersecurity standards and frameworks, including ISO 27001, NIST 800 53, CIS Controls, OWASP, and SOC1/2.

The Role This is Noxus' first Senior Brand Designer. You will own the visual surface of Noxus end to end. Brand direction, motion, video, product marketing content, and sales enablement. You'll partner with the founders, GTM, Sales, and Product — but the brand layer is yours. This is a hands-on individual contributor role for someone with strong opinions about typography, restraint, and craft, and the seniority to defend them. What you will do • Codify and evolve the Noxus visual system: typography, color, grid, photographic and illustrative treatment, iconography, motion principles, • Hold the line against drift across every surface, freelancer, and agency the brand touches, • Build a motion library that ships repeatedly: section transitions, UI demonstrations, agent and workflow visualizations, data viz animation, • Own the video pipeline across founder content, case studies, product demos, and event recaps — produced in-house or through external crews, • Translate platform capability into legible visual artefacts: platform diagrams, architecture explainers, use-case one-pagers, vertical reports (FCA Complaints Report style), gated lead magnets, LinkedIn carousels, data visualizations, • Build modular, durable sales collateral: deck variants for sales, partner, and investor contexts, case studies, battle cards, RFP response templates designed for re-use by AEs without a designer in the loop on every deal, • Partner with marketing and sales to keep brand consistent across every customer-facing surface What we are looking for • 5+ years of brand design experience for B2B, infrastructure, or enterprise-facing companies, • Portfolio with demonstrated range across static, motion, and video — one designer who has operated across all three, not three specialists in a trench coat, • Clean, modern, typography-led aesthetic with restraint as a default, • Fluent in Figma and the Adobe suite — After Effects, Premiere, Photoshop, Illustrator, • Strong opinions about craft and the seniority to push back when the brand demands it, • Experience marketing to technical, IT, security, or AI-focused audiences is a plus, • Experience inside a creative or brand-led agency is a plus, • Fluent written and spoken English, • Demonstrated AI fluency — you use AI tools daily in your own production pipeline and have opinions about where they belong and where they don't, • Enjoys working closely with founders, product, and engineering in an in-office environment Why Join Noxus • Build the brand function from scratch with real ownership, • Work directly with founders on high-impact decisions, • Shape how enterprises encounter and adopt AI infrastructure, • High-visibility role with clear impact on company trajectory, • In-office role in Lisbon or London

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

About governr governr is the AI control infrastructure for regulated industries, with a primary focus on financial services, healthcare and government. We give enterprises the visibility, control, and audit trail they need to deploy AI agents responsibly. Our platform covers AI discovery and inventory (AI Atlas), continuous monitoring and action auditing, and full decision accountability records. As regulatory pressure on AI grows, and AI adoption accelerates this creates increasing material business risk and regulatory scrutiny, and governr is purpose built to help these firms respond. The Role We're looking for our first Product Manager. This is a hands-on position working directly with the founders and engineering team to shape what we build and why. You'll own the roadmap, stay close to customers, and help us make the right calls in a fast-moving market. What you'll do Own the product roadmap across all three phases of the governr platform. • Spend real time with financial services, and regulated sector customers and prospects, developing a deep understanding of the business risks and pressures they face and what good looks like for a CRO, CIO, COO, • Translate customer pain into clear product direction, working out what to build, what to defer, and what to drop, • Drive day-to-day delivery, keeping the team moving at pace while managing client expectations and making sure ambitious commitments are met without cutting corners on quality. This includes coordinating with near-shore engineering resource, so experience working across distributed teams is important, • Drive prioritisation clearly, because at seed stage every sprint matters, • Define and track the metrics that tell us whether what we're building is working, • Support customer conversations, demos, and sales where needed, • Build out the product function including the processes, rituals, and tooling that can scale to 1000+ customers globally with an aggressive plan What we're looking for • Early-stage experience, having worked at a startup before and knowing what it's like when there's no playbook, • Strong technical depth, enough to understand how audit trails are constructed, how agent actions are captured, and how the platform integrates with enterprise environments. You won't write code, but you'll be expected to get close to the detail and hold your own with engineers and technical customers, • Financial services background, or deep familiarity with how FS firms buy, procure, and adopt new technology. You need to understand risk concepts of these firms and speak credibly to stakeholders, • B2B SaaS background, understanding how enterprise software gets bought and used, and experience with products where the buyer and end user are often different people, • Strong written communication, able to write a crisp spec or brief without it needing three follow-up meetings, • Genuine customer curiosity, comfortable in customer calls rather than just reading the summary afterwards, • Comfort with ambiguity, because the roadmap will change, the market will surprise us, and you're energised by that Useful but not essential Experience in AI, governance, compliance, or RegTech Awareness of the EU AI Act, FCA guidance, NIST, MIT, ISO 42001, Agent Security or similar frameworks Why join AI controls are shifting from a nice-to-have immature standard to a core regulatory and business risk management requirement, and financial services firms are at the sharp end of that. You'd be the first dedicated PM at a company solving a problem that's commercially urgent and genuinely interesting. Sharp team, high trust, and direct access to founders and customers from day one. We're building AI agents directly into the product, and this role will help shape how we do that. You'll need to be comfortable working alongside agentic systems, thinking through how they interact with users, and helping us make sensible decisions about where automation should and shouldn't be applied. If you want to own a product that matters, in a market that's moving fast, with a rapid growing client-based and help build something significant from the ground up, you're in the right place.

AI Engineer (Banking Transformation) AI & Data | Financial Services | Technology & Transformation London (Hybrid) £80,000-£93,000 + Benefits A leading professional services organisation is seeking a Senior Manager – AI Engineer to join its AI & Data Financial Services practice, focused on delivering large-scale AI transformation across Banking. This role sits at the forefront of enterprise AI engineering, architecture, and delivery leadership, helping major financial institutions design, build, and operate scalable AI systems that modernise core business processes. You will operate across the full AI lifecycle—from strategy and architecture through to production deployment and optimisation of agentic AI systems—driving measurable business value through advanced machine learning and generative AI. This is a senior leadership role combining hands-on technical credibility with programme leadership, stakeholder influence, and team development. Key Responsibilities • Translate senior stakeholder vision into AI transformation strategies, architecture, and delivery roadmaps, • Lead and oversee multi-disciplinary AI engineering teams and workstreams, • Design and deliver enterprise-scale AI systems, including agentic and GenAI solutions, • Collaborate with architects, data scientists, DevOps, and business stakeholders to define end-to-end solutions, • Evaluate and select AI technologies (open-source and commercial) and define enterprise deployment patterns, • Lead design of API-based AI services and scalable backend systems (e.g. FastAPI), • Ensure robust integration of AI systems into complex banking and capital markets environments, • Establish and govern evaluation frameworks for AI and agent-based systems, • Oversee CI/CD, MLOps, and LLMOps practices across delivery teams, • Work closely with security, risk, and compliance teams to ensure ethical and regulated AI delivery, • Own and contribute to architecture reviews, governance forums, and design approvals, • Engage senior client stakeholders and shape proposals, bids, and AI solution strategies, • Lead capability development across teams, mentoring senior and junior engineers Required Skills & Experience • Strong background in software engineering or data engineering with applied AI (Python, SQL), • Proven experience delivering AI/ML and generative AI systems in production, • Deep understanding of LLMs, including:, • Prompt engineering, • Embeddings, • Fine-tuning, • Retrieval-Augmented Generation (RAG), • Demonstrated experience building and scaling agentic AI systems, • Strong experience with AI system design, architecture, and distributed systems, • Expertise in API-based backend development (e.g. FastAPI or similar), • Experience with vector databases (e.g. Pinecone, Chroma), • Experience with agent frameworks (e.g. LangChain, LangGraph, or similar), • Strong understanding of evaluation frameworks for AI/agent systems, • Experience implementing CI/CD pipelines and modern engineering practices, • Exposure to MLOps / LLMOps principles, • Experience working with at least one cloud hyperscaler (AWS, Azure, GCP, or Databricks), • Strong Agile delivery experience (Agile, SAFe, XP, Jira, Confluence, etc.), • Proven ability to lead technical programmes and cross-functional teams, • Strong stakeholder management and client-facing leadership capability Desirable Experience • Experience in Banking or Capital Markets (strong preference), • Exposure to MCP (Model Context Protocol), • Experience operating in regulated enterprise environments, • Ability to contribute to ROI modelling, business cases, and AI value articulation, • Experience contributing to bids, proposals, and go-to-market activity

£60,000 to 75,000 GBP Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Data Scientist - Associate Manager Locations: London or Manchester (Hybrid) Salary: Up to £75,000 (London) / Up to £68,000 (Manchester) + bonus + package We are looking for a skilled Data Scientist (Associate Manager level) to join a high-performing team delivering advanced AI and machine learning solutions within secure government and defence environments. This is an opportunity to work at the cutting edge of data science, focusing on GenAI, large language models, and cloud-based ML deployments, while also taking on leadership responsibilities within a growing team. Role Responsibilities • Lead day-to-day technical delivery across data science and ML projects, • Build, deploy, and optimise machine learning models and large language models (LLMs), • Work across cloud and high-performance computing environments, • Act as a subject matter expert in machine learning and AI solutions, • Support and manage a small team, including mentoring and performance management, • Stay current with emerging trends in GenAI and advanced analyticsRequired Experience, • Strong programming skills, particularly in Python, • Experience with machine learning and AI, including LLMs or related technologies, • Knowledge of areas such as RAG architectures, agent-based AI, computer vision, or audio processing, • Experience working with cloud platforms (AWS or Azure preferred), • Familiarity with Docker, Linux/Unix environments, Git, and testing practices, • Understanding of data governance and security best practicesDesirable Skills, • Experience using GPUs in cloud environments, • Knowledge of MLOps, CI/CD pipelines, and monitoring ML models, • Experience building APIs and working with modern DevOps practicesEligibility Requirements Due to the nature of the work, candidates must: • Hold active DV clearance, • Be a UK citizen, • Meet UK residency requirements for continued clearanceThis role offers the chance to combine hands-on technical work with leadership responsibilities, working on impactful and innovative projects in a highly collaborative environment. For more information or a confidential discussion, please get in touch.

SAP Technology Architect & AI Senior Manager We are seeking talented individuals with deep design and implementation experience in transforming our clients’ business towards a digital enterprise using SAP S/4HANA powered by BTP solutions. This is a high-profile role within the team, requiring strong client delivery skills, whilst supporting business development opportunities to grow the practice. The successful candidate will be able to: • Evaluate and implement the right SAP BTP cloud and Generative AI services to deliver modern, scalable, and intelligent cloud-based solutions for clients., • Demonstrate depth across all SAP BTP pillars—Extensibility, Integration, Data, Automation, and AI—designing architectures that leverage GenAI, AI Core, and Joule capabilities across complex enterprise landscapes., • Plan and facilitate design-thinking and AI ideation workshops to identify cloud, GenAI, and modern UI use cases that deliver tangible business value., • Help clients define future-ready technology roadmaps and target architectures, incorporating user-centric, AI-led, and GenAI-powered innovations on SAP BTP., • Solve complex issues in Application Development & Integration using services like SAP Build, SAP Integration Suite etc., • Advise clients on intelligent automation and AI adoption, including Generative AI, RPA, Machine Learning, and Agent-based solutions, aligned to SAP’s Business AI strategy., • Capable of supporting business development and sales initiatives including bid and proposal support in SAP Cloud Platform & Technology services The Person • Demonstrable experience delivering end‑to‑end SAP S/4HANA Cloud transformation programmes within a consulting environment, including complex, multi‑system landscapes., • Strong knowledge of SAP S/4HANA technology architecture across the full stack, including application development, integration, security, infrastructure, SAP BTP, and AI / Generative AI best practices., • Proven SAP Technology Architecture leadership, including designing architectures, leading technical delivery teams, and deploying solutions; at least two full S/4HANA lifecycle implementations preferred., • Experience producing high‑quality architecture artefacts such as Architecture Blueprints, Integration Architecture Diagrams, Extensibility Strategies, and AI / GenAI solution designs., • Hands‑on experience architecting and delivering at least one enterprise‑grade AI or Generative AI solution on SAP BTP (beyond proof‑of‑concept), with demonstrated scalability, security, and operational readiness., • Practical experience with SAP HANA Cloud, SAP AI Core, and Generative AI architectures, including RAG (Retrieval Augmented Generation) frameworks, vector embeddings, and knowledge graph–based approaches., • Ability to design scalable AI solutions on SAP BTP that integrate seamlessly with existing SAP and non‑SAP landscapes, including S/4HANA, ECC, SuccessFactors, and external systems., • Experience advising clients on intelligent technologies, including Generative AI, Machine Learning, RPA, and agent‑based architectures, aligned to SAP’s Business AI and Joule strategy., • Demonstrable experience in leading and supporting pre‑sales activities, including RFP responses, solution shaping, demos, and senior client engagements, particularly for SAP BTP and AI‑led propositions., • Strong analytical skills with the ability to simplify complex problems, translate business needs into technology architectures, and make pragmatic design decisions., • Experience in facilitating design, architecture, and AI ideation workshops, and translating outcomes into actionable solution designs and delivery plans., • Ability to build trusted client relationships through subject‑matter expertise, thought leadership, and consistent quality of delivery., • Proven capability to collaborate effectively across multidisciplinary teams, including functional, data, integration, AI, and cloud engineering teams., • Self‑starter mindset with the ability to operate effectively in ambiguous, evolving environments, particularly in emerging areas such as Generative AI and intelligent enterprise solutions. Our Locations: We are open to talk to talent across the country but our core Tech hubs for this role are London, Birmingham, Manchester. With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: SAP Sectors Consulting sits aligns with KPMG Powered Enterprise practice where we have a range of divisions and specialisms. Click the links to find out more below: • KPMG Powered Enterprise: KPMG Powered Enterprise - KPMG UK, • KPMG SAP Services: KPMG SAP Services - KPMG UK, • ITs Her Future Women in Tech programme: _, • KPMG Workability and Disability confidence: _, • KPMG Consulting: Consulting (kpmgcareers.co.uk), • For any additional support in applying, please click the links to find out more:, • Applying to KPMG: _, • Tips for interview: _, • KPMG values: _, • KPMG Competencies: _, • KPMG Locations and FAQ: _

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class software engineers to help build on their success. Responsibilities • Design agentic automation framework in Python on AWS Bedrock, • Decompose Jira workflows into microservices and LLM agents, • Own end-to-end delivery of automation solutions across the business, e.g. Operations, Compliance, Risk, • Build secure, high-performance integrations with core internal systems, • Develop prompt strategies, retrieval augmentation, and guard-rail policies for Bedrock models, • Measure and tune agent output quality, latency, and cost, • Mentor junior engineers; drive coding standards, code reviews, CI/CD hygiene Skills & Experience Required • 8+ years' experience of professional software engineering (Python preferred) with at least 3 years' designing distributed, event-driven systems in AWS, • Proven production experience integrating or fine-tuning LLM/GenAI solutions (OpenAI, Bedrock, or similar), • Deep knowledge of Jira data model, webhooks, and REST/GraphQL APIs, • Strong grasp of security for SaaS integrations: OAuth, secret rotation, data-in-transit/at-rest encryption, • Familiarity with financial or regulated environments and related control frameworks, e.g. SOC 2, model governance, • Hands-on with observability stacks (Grafana, Datadog) and CI/CD pipelines Desirable • Prior work on KYC / AML automation, sanctions screening, or client onboarding flows, • Experience with event sourcing, domain-driven design, or service-based architecture, • Familiarity with LangChain, Haystack, or other agent frameworks; Infrastructure-as-Code (CDK / Terraform) and/or container orchestration with Kubernetes Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If you feel you are suitable for this role, drop me an email or give me a call! Jack Peck [e] jack.peck@oxfordknight.co.uk [t] +44 20 3745 6537 linkedin.com/in/jack-peck-448a70131

Our client is recruiting for a Live-In Head Porter in Central London. Accommodation:1 Bedroom Apartment Salary: £30,000 - £35,000 per annum Shift Pattern: Monday to Friday, 8am-5pm & Saturdays 09.30am-11am Job Duties: • Supervise contractors to the building, cleaners, electricians etc., • Undertake daily inspections of the building and flag any issues with the Managing Agent for reactive work, • Keep accurate logs of visitors to the building for both security & H&S., • Reviewing CCTV, particularly after the weekend, • Logging and keeping safe record of keys. Not to be released out of hours or without consent., • Recording and dealing with post and parcels., • Ensuring Health & Safety items are dealt with and logged accordingly and work closing with Principia., • Supervise cleaners (rotas) and onsite handyman., • Cleaning grounds to ensure all paths are trip hazard free., • Refuse collection daily from outside the apartments to be placed in the communal bins for Council collection., • Report to the Managing Agent at the end of the week with weekly activity., • Emergency use of Defibrillator (training will be provided)., • Fob programming and deactivation. AMRT1_UKCT ...

Head of AI Security - (UK homebased) We're excited to introduce a new leadership role: Head of AI Security. This is a strategic position within the Group CISO's Strategy function, with responsibility for Capita's AI security posture at a critical point of change in the threat landscape. Why this role matters • Exploitation timelines have reduced from months to hours, • Autonomous, multi-agent attacks are now operational, • The EU AI Act introduces high-risk obligations from August 2026 This role ensures Capita remains secure, compliant, and trusted as AI adoption accelerates. What you'll be doing • Owning Capita's AI security strategy and posture, • Line managing a small, established team of Security Architects, • Providing security leadership across AI-enabled platforms and products, • Partnering with AI technology leaders and Group CISO teams (policy, behaviour and culture, security management, and SecOps), • Engaging with Capita's AI Council and the wider business, • Building a demonstrable and defensible AI security framework that builds internal and external trust The impact You will be operating at the leading edge of AI-enabled Business Process Outsourcing in the UK, shaping the trustworthiness of services relied upon by millions of people every day. This is a rare opportunity to influence AI security at enterprise scale-both now and for the ...

Our client is seeking an experienced Handyman/ Caretaker to work on a temporary basis for the forseeable future on a residential development based in South East London. Hours: Mondays (7am to 3pm) & Tuesdays to Fridays (9am to 5pm) Start Date: Friday 29th May Temporary Pay Rate: £13.85 per hour + Holiday Pay (paid on a weekly basis) Main Duties: • Assisting residents with any queries or requirements, • Carrying out regular patrols of the building - Conduct health and safety inspections in accordance with our service standards and contractual obligations., • Logging and reporting any maintenance issues to the managing agent and carrying out minor repair works where able - Carry out repairs and maintenance duties in accordance with safe operating procedures and relevant health & safety policies, • Management of keys, • Complying with all Health and Safety requirements, • Dealing with complaints, • Maintaining the security of the Estate in general, • Ensure all common parts are clear of potential hazards including those attributable to seasonal changes including external footpaths., • Keep communal areas clear of any obstructions particularly fire evacuation routes and exits., • Responding to emergencies including making safe glazing, leaks, lighting and tripping/slipping hazards.<...

Security Analyst- Ivanti Neurons We are currently recruiting for a Security Analyst with Ivanti Neurons experience to join one of our Insurance clients on a 6-month contract. Inside IR35 Hybrid Responsibilities: • Support the day-to-day vulnerability and patch management operations using Ivanti Neurons, including discovery, risk assessment, prioritisation, deployment coordination, validation and reporting., • Maintain accurate asset and vulnerability coverage by monitoring agent health, scan cadence and data quality; work with endpoint and infrastructure teams to resolve gaps., • Perform risk-based vulnerability triage and analysis using factors such as CVSS, exploitability, asset criticality, exposure and compensating controls., • Coordinate routine and emergency patch cycles, including change planning, maintenance windows, pre deployment checks, rollback planning and post deployment verification., • Work with service and application owners to drive remediation of unpatchable vulnerabilities through configuration changes, mitigations, or documented risk acceptance., • Assess cloud security risks across the Azure estate using native and third party security tools., • Develop, maintain and evidence standards, procedures and secondary security controls to ensure policy and regulatory compliance., • Support audit an...

AI Engineer / Azure / Generative AI / Permanent / London / Hybrid Vivo Talent are looking for an experienced AI Engineer to join our client and design, build and support enterprise AI platforms and solutions within a modern Azure environment. You'll be collaborating closely with developers, data scientists and business stakeholders to turn AI proof-of-concepts into secure, scalable production solutions. It is a great opportunity for someone looking to take concepts to solutions and make valuable impact. Key Responsibilities Build and maintain AI infrastructure using Microsoft Azure technologies including Azure AI Foundry, Azure OpenAI, Azure ML and Copilot Studio. Develop and manage CI/CD, LLMOps, and MLOps pipelines for Generative AI applications. Design and deploy GenAI, RAG and intelligent agent solutions across enterprise systems. Implement Infrastructure as Code (Terraform) and secure cloud environments following best practices. Support AI experimentation, model fine-tuning, prompt evaluation and production deployment. Monitor AI performance, token usage, cost optimisation, reliability and security. Collaborate with cross-functional teams to deliver scalable and compliant AI solutions. Promote Responsible AI, governance, and data security across all AI initiatives. Required Experience Strong experience with Azure AI services, Azure OpenAI and AI infrastructure engineering. Hands-on expertise with Generative AI, ...

Role: Mid-Senior DevOps Engineer 4-day workweek: 32 hours per week Pay: £50,000.00-£55,000.00 per year Work Location: Remote-first, home-based UK role with travel to Canterbury once every 2 weeks Job Type: Full-time Job Description: The Role We’re seeking a Mid-Senior DevOps Engineer to own and evolve our cloud platform, CI/CD, security, reliability and cost-efficiency across multiple regions. This is a pivotal and exciting role as we expand into new markets and continue to grow rapidly. In this role, you’ll have high autonomy, and your impact on the team and wider company will be far-reaching. Your focus will be on cloud infrastructure, automation and supporting high developer productivity. You’ll collaborate closely with Developers, QA and the Technical Lead to build a robust, well-documented and auditable platform that lets the team ship safely and quickly. This role is remote, home-based (UK) with occasional travel to Canterbury once every 2 weeks. Salary & Benefits Competitive Salary, DOE. EOT Scheme beneficiary after 12 months of service Extra time off at Christmas Private Healthcare Scheme EAP Scheme Cycle to Work Scheme Up to 6 Fully Paid Company Activity Days per annum Discretionary Occupational Sick Pay Scheme Introduction AIRDAT is a UK based systems, training & consultancy company providing services specifically to the Aviation sector. Our products relate to the management of training, assurance, compliance, fleet and auditing. In addition, AIRDAT offers airports an array of support services. AIRDAT is proudly an Employee Ownership Trust (EOT). Joining our Employee Ownership Trust means becoming an integral part of a company where your contributions directly impact our shared success. As an employee-owner, you'll have a stake in the company's achievements, fostering a collaborative and empowered work culture. Our commitment to shared ownership promotes a supportive environment where your dedication is rewarded, creating a fulfilling and mutually beneficial workplace. At AIRDAT, it’s all about life-work balance. Working only 4 days a week, you will get 22.5 holiday days and bonus time during the Christmas/New Year period too. The company also runs around 6 free ‘activity days’ throughout the year (including things like Go Karting, Off-Road Driving,Spa Day, Kayaking) - you can vote for other activities you’d like to do and you can book onto as many of these as you like (or not!) - plus our team Christmas Party. We operate a cycle to work scheme, ‘meet free Fridays’, a Private Healthcare Scheme, Discretionary Occupational Sick Pay and an EAP Scheme too. You’ll be provided with all the equipment you need and we reserve an annual budget to help improve skills and further your development too. In addition, all team members receive a purchasing card, so no using your own funds to make company purchases. As an integral part of our digital solutions team, you will be working on our three core digital products, including our mobile app, our public site and the development of new products and features. You’ll be empowered and working as part of a small, highly supportive agile team, delivering bespoke, complex systems to the aviation industry. Most importantly, we take our work seriously, but never ourselves. Our company values are Proactive, Evolving, Confident and Supportive - these should resonate with any potential applicants. Core Responsibilities Platform Reliability, Security & Governance Patch management across Windows/Linux servers; automate updates and manage maintenance windows and rollback plans. Security hardening: manage access policies, accounts, secrets and least-privilege controls across servers, DBs and AWS. User access security: maintain IAM roles and server/DB access, manage JML and periodic access reviews. Vulnerability management: operate and tune Intruder, Sophos and similar tools; triage findings and track remediation. Secure SDLC: maintain Snyk/SonarCloud integrations, alerts, thresholds and quality gates. CI/CD Own and improve TeamCity pipelines; troubleshoot agent, server and process issues; keep agent images current. Improve build stability and reduce QA/dev interruptions through proactive detection and pipeline optimisation. Extend release automation across all deployables, including mobile apps; standardise promotion flows with approvals and audit trails. Continuously optimise pipelines for speed, cost and reliability; maintain CI metrics and SLOs. Produce runbooks and documentation for CI/CD, branching strategy, release calendars and incident processes. Cloud Operations (AWS) Cost-aware architecture: right-size workloads, refine autoscaling and propose modern AWS services for performance/cost gains. Environment hygiene: maintain and sanitise EC2/AMIs/volumes/snapshots; enforce retention and naming/tagging standards. Network/perimeter: review and rationalise Security Groups and ingress/egress rules. Data lifecycle & backups: define/enforce retention for DBs/S3; manage backup/restore tests for data and deployment artefacts. Multi-region growth: extend and automate patterns for new clients/regions, including one-click tenant provisioning and CI/CD cost/config updates. Monitoring/alerting: maintain actionable dashboards and alerts across infra, CI and applications; reduce noise. Database Operations Improve MySQL performance (indexing, query plans, connections) and track changes via migration tooling. Implement data privacy practices: anonymisation, retention and related controls. Documentation & Compliance Maintain accurate documentation for servers, cloud architecture, CI/CD and operations. Contribute to security reviews/audits; ensure evidence capture (change logs, approvals, test results, DR/backup tests). Strengths & Behaviours Are you: Comfortable proposing better ways of working; thrives in a small, agile team. Works at pace with minimal supervision; dependable and delivery-driven. Automation-first mindset: scripting, config management. Observability fundamentals and practical alerting design. Excellent documentation skills and a security-first approach. Role Requirements Required Proven DevOps/Platform/Infra experience for .NET workloads in AWS. Strong Windows Server admin/patching; proficient with PowerShell and Bash. CI/CD expert (TeamCity, Jira) and skilled at pipeline debugging. Solid AWS knowledge: EC2, S3, Elastic Beanstalk, Route 53, Lambda, SNS, IAM, VPC/Security Groups. MySQL admin, tuning and analysis. Observability fundamentals and practical alerting. Desireable AWS certification. Experience with .NET Core deployments; REST/SOAP; blue/green or canary strategies. Familiarity with Snyk, SonarCloud, Intruder, Sophos. Mobile CI/CD (e.g. Bitrise). Experience with Atlassian tools and Git workflows. Exposure to SSO/identity (OIDC, OAuth2, SAML; e.g. Okta). Knowledge of cost-optimised architectures. DR planning experience. Benefits: Additional leave Bereavement leave Casual dress Company events Company pension Cycle to work scheme Enhanced maternity leave Enhanced paternity leave Flexitime Free parking Health & wellbeing programme Life insurance On-site parking Private medical insurance Profit sharing Sick pay Work from home Experience: DevOps: 2 years (required) Language: English (required)

We are seeking a Specialist Aviation Security Agent to join our team at London Heathrow Airport. This in‑depth programme is designed to equip you with the knowledge and skills needed to operate as a Specialist Security Agent.

You will act as a strategic partner to Platform, Security, Product, Agent Development, Legal, and GTM, ensuring security and compliance requirements are embedded into architecture decisions, product roadmaps, and go-to-market execution while supporting product velocity and technical complexity. Tran

Senior Engineer - Civils & Infrastructure Location: East London - Prestigious & Long-Term Project (circa 7 years) Salary: £50,000 - £57,000 + package The Opportunity This is a chance to join a leading civil engineering contractor on a flagship East London scheme. Offering long-term security and genuine career progression, the role is ideal for an experienced Senior Engineer looking to take ownership of high-profile works. Responsibilities Deliver site engineering duties across multiple works packages Establish survey control and set out works to specification Maintain HSEQ and quality records Support Site/Sub Agent with planning, resources and delivery Mentor junior engineers and deputise where required Requirements HNC/Degree in Civil Engineering (or equivalent) Proven experience on civil engineering projects (structures, highways, reinforced concrete, infrastructure) CSCS card (SMSTS/Confined Space training desirable) Strong technical and AutoCAD skills Effective communicator and problem solver What's on Offer Salary £50,000 - £57,000 plus package: - Pension, private healthcare and life assurance - Company car or allowance - 25 days annual leave plus bank holidays and loyalty days Excellent progression on a long-term, high-profile project Apply For more details, please contact: Leon Simmons - TRIbuild Solutions

Enforcement Agent Salary: £25,000, increasing to £27k following training | OTE: £45,000-£60,000 per year + company vehicle Hours: Monday to Friday (37.5). Start times from 6am. Location: London - we have vacancies in the following postcodes: SE, NW, W Would you like to become a full-time salaried Enforcement Agent? We have permanent Full-Time opportunities for trainee Enforcement Agents. Supported by a full 12-week training programme this is a role with real impact. You’ll manage complex and sensitive situations and execute warrants with professionalism and integrity. You will support local authorities by working with residents and business owners to bring their unpaid council tax or business rates up to date, whilst ensuring fairness, and delivering the highest standards of legislative practice - all while gaining a City & Guilds certification and developing a respected professional pathway with ongoing opportunities to grow. Experience required: • A full UK driving licence with no more than 6 points. You must have held your driving license for at least 12 months., • Strong communication skills with the ability to handle sensitive conversations, • Self-motivated and results focused with a motivation to exceed personal targets., • Able to use sound judgement to reach fair, practical decisions., • Be able to professionally and fairly assess people and their circumstances, navigate challenging cases and demonstrate empathy as required, • Good IT skills What You’ll Do • Carry out enforcement activity, including executing Liability Orders., • Make in‑person visits, assess circumstances, and secure payments or recover goods., • Manage a varied caseload, using investigative skills to locate individuals, with a strong focus on persistent evaders and high‑priority cases., • When needed, lead sensitive conversations - including with vulnerable people - using empathy, professionalism, and calm conflict resolution., • Maintain accurate records, manage payments, and ensure full compliance with regulatory, legal, and operational requirements., • Work flexibly, including early mornings, some evenings, and occasional weekends, with travel and overnight stays where required. What is offered; • Competitive salary and uncapped commission once training is completed., • Full training and support to achieve City & Guilds Taking Control of Goods Certification – there may be a travel requirement during your 12 week training period., • 25 days annual leave + bank holidays, • Enhanced family benefits, including comprehensive maternity and paternity packages., • Health cash-back plan to support your wellbeing., • Exclusive staff perks, including discounts on high-street shopping, travel, leisure activities, and wellness programmes., • Company van, fully equipped to support your work., • Fuel card and work phone to keep you connected and ready for success., • Pension scheme offering long-term peace of mind. Established as a Security Recruitment specialist Momentum Recruitment provide a quality focused recruitment service for the provision of permanent, contract & temporary staff across the EMEA region. Momentum Recruitment covers the following markets. Corporate Security Security Guarding - Management & Operations Security Guarding - Officer & site personnel staff Retail Loss Prevention, Audit & Fraud HSEQ (Health, Safety, Environmental & Quality Assurance) Facilities Management - Hard (M&E) & Soft Services Security Sales & Business Development Electronic Security Risk Management

Data Architect Location: Croydon (once per week in the office) Duration: 6-12 months initially Clearance: Active SC clearance required Note: Must have a minimum of 5 years of unbroken UK residency Are you passionate about shaping the future of AI and enterprise architecture? Our client, a leading organisation, is seeking a talented Data Architect to provide strategic leadership on adopting agentic AI and large language models (LLMs) across the enterprise SDLC. This is an exciting opportunity to influence cutting-edge AI integration within a dynamic environment. What you'll be doing: Lead the architectural strategy for integrating autonomous agents, multi-agent workflows, and enterprise-scale LLMs. Define governance frameworks ensuring transparency, security, prompt governance, and responsible AI practices. Advise senior stakeholders on technical, organisational, and SDLC implications of agentic AI adoption. Collaborate with external AI providers on hosting, safety testing, versioning, and operational support models. Oversee architectural artefacts illustrating interactions of AI components across teams and systems. Mentor senior architects to develop expertise in LLM and agentic AI solutions. Lead governance and review forums to ensure compliance with enterprise standards. Influence programme planning by identifying necessary process, tooling, and organisational changes for AI adoption. What you'll bring: Proven experience in enterprise architecture, especially with AI and LLM integration. Strong understanding of AI governance, security, and responsible AI principles. Ability to advise and influence senior stakeholders and external partners. Experience mentoring and leading architectural review boards. * Excellent communication skills and strategic thinking. Nice to have: Knowledge of AI safety testing, version control, and operational support for AI systems. Experience working within structured SDLC environments. If you're ready to lead innovative AI initiatives and work on transformative projects, we'd love to hear from you. Apply now to be part of this exciting journey

About Us As a leading group of companies, the ECA International Group stands as a global frontrunner in simplifying international mobility. Our collective vision is to make a positive impact by delivering exceptional products and services to our prestigious list of large enterprise clients. Our global presence across the UK, EU, Hong Kong, Australia, and the US offers our team a world of opportunities, and our commitment to innovation ensures that you will be at the leading edge of your field. We love to invest in our peoples success and development pathways, creating a diverse and inclusive community where your unique talents shine. Your work here has a global impact, and we prioritise work-life balance, offering flexibility to enable you to perform your best. Join us to experience a rewarding career where your potential is celebrated, and your journey to excellence begins. About the Job This role is ideal for someone who wants to shape how a modern enterprise becomes truly AI-native. We already use AI in delivery and engineering, and we have strong guardrails and governance in place. Now, were looking for a leader who can help us scale: across data acquisition, ingestion, storage, and AI-powered consumption within a secure, multi-tenant environment. Youll evolve our existing data platform (AWS, Snowflake, S3, Postgres, event-driven services) into a product-facing, AI-ready foundation, while partnering across disciplines and leading a team in a supportive, high-trust environment. If you're passionate about data, excited about AI, and motivated by meaningful impact, this role gives you the autonomy, influence, and visibility to shape how AI is adopted across the company. Requirements Key Responsibilities 1. Data platform evolution Take our current AWS/Snowflake/S3/Postgres setup and enable AI/RAG, product consumption, and multi-tenant access. Work with the Technical Architect to keep this aligned with our event-driven and security model. 2. Data acquisition & ingestion Design multi-source ingestion (APIs, scraping/crawling, file drops, crowdsourcing, agent-based pipelines). Make it observable, repeatable, and documented so research and analytics can plug in new sources without rework. 3. AI as a consumption layer Build LLM/RAG endpoints on top of our data and content as a service. Expose these services to Data Insights to enable users to ask, explore, and generate insights not only download reports. 4. Partnering with Analytics Give the research teams clean, modelled, well-documented data. Turn one-off work into scheduled, production jobs. 5. Guardrails, governance, and quality Keep AI-generated code within SDLC, code review, and security bounds. Ensure data and AI services are audited and tenant aware. 6. Team leadership Lead a small technical team (data/AI/ingestion). Promote AI-native ways of working across product, data, and engineering. Manage and mentor your engineering team, fostering a collaborative, high-performance environment with excellent productivity. Demonstrate hands-on technical excellence while modelling accountability, critical thinking, and AI-first practices Set clear objectives, provide regular feedback, conduct performance reviews. 7. Delivery & Accountability Take full accountability for the delivery of high-quality software products, owning both successes and challenges Drive outcome focused delivery planning and execution, measuring success by business impact rather than effort or hours invested Proactively identify and mitigate risks, making critical decisions to keep projects on track 8. Technical Direction & Architecture Guide technical direction, establish best practices, and ensure architectural decisions support scalability, maintainability, and business goals Be a hands-on contributor forArchitecting and building well-tested, maintainable applications Optimise tech stacks and development workflows to maximise team productivity 9. Agile & Product Collaboration Ensure Agile ceremonies (sprint planning, retrospectives, stand-ups) are followed and continuously refine Agile practices to optimise team performance Collaborate with product owners and stakeholders to develop and maintain technical roadmaps that align with business strategy Work with product owners to build and maintain a prioritised backlog that balances business value, technical debt, and innovation 10. Quality & Continuous Improvement Enforce rigorous quality standards including test-driven development (TDD), code reviews, and automated testing Ensure that security best practices are followed to the highest standards Foster a culture of experimentation, learning, and continuous improvement Use data and metrics to drive decisions and demonstrate improvement in team velocity, quality, and business outcomes The Ideal Candidate: 1. Data-first mindset You understand how data arrives in an organisation: via APIs, files, partner feeds, human/crowd sourced inputs or from the internet and that each of those has different latency, quality, and governance needs. Youre comfortable with: AWS (core services, IAM basics, networking good practice), Snowflake (or similar cloud data warehouse), Amazon S3 for landing/staging data Postgres (including JSONB/dynamic fields), Event-driven patterns for efficient and effective data pipeline management, 2. AI-positive, not AI-sceptic This role is for someone who: is genuinely enthusiastic about AI/LLMs/agents, is actively learning (even in their own time), Can translate AI concepts (RAG, agents, tools, function calling, model evaluation, private models) into working, secure services. 3. Enterprise-aware We have clients, tenants, and compliance, so you will: design with security, PII and tenancy in mind, accept governance and SDLC gates as part of making AI safe, and still find a way to deliver fast. 4. Builder + Manager Youre happy to open the IDE and build the pipeline, but you can also run a small team, set standards, review code, and coach people into AI-native ways of working. Benefits Whats in it for you ?? Enhanced Stakeholder Pension Contribution ?? 25 days annual leave ?? Health, Life Insurance + EAP Wellbeing Support ?? Eligible for Annual Bonus Scheme ?? Long Service Awards ?????? ClassPass Membership ?? Enhanced Family Leave ?? Up to £1,000 per year for personal development & training ?? Season Ticket Loan ?? Flexible/hybrid Work Environment ?? Cycle to Work Scheme ?? Free Eye Test We are a super friendly team that thrives on collaboration and supporting each other. We cultivate an environment where everyone feels valued and empowered to contribute their best work, helping us to realise our ambitious growth goals and mission. We live our Values of Integrity, Respect, Ambition and Innovation and this shows up loud and proud in everything we do. Our hybrid working structure includes spending around two days a week at our Head Office in Holborn, London. TPBN1_UKTJ

Senior AI Engineer Manager/Associate Director | Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: ·Building and deploying AI prototypes, products and production ready solutions ·Designing and implementing end to end AI solutions that integrate with enterprise systems ·Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning ·Developing AI agents and agentic workflows using modern frameworks ·Working with vector databases, APIs and modern data platforms ·Supporting AI deployment, serving patterns, evaluation frameworks and integration design ·Using Python and SQL to build robust, scalable AI and data solutions ·Working with cloud platforms such as AWS, Azure, GCP or Databricks ·Supporting MLOps, LLMOps, CI/CD and software engineering best practice ·Collaborating with technical and non-technical stakeholders across complex programmes ·Helping identify technical, delivery, security, data privacy and regulatory risks ·Contributing to technical documentation, solution design and delivery planning ·Supporting AI implementation and scaling initiatives across complex environments ·Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: ·Strong Python and SQL experience ·Applied AI engineering, ML engineering or software engineering background ·Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning ·Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks ·Experience with vector databases such as Pinecone, Chroma or similar ·API development experience, ideally with FastAPI or similar frameworks ·Knowledge of MLOps, LLMOps, CI/CD or production deployment practices ·Experience designing or supporting evaluation frameworks for AI or agentic systems ·Experience working with modern data architectures and cloud platforms ·Understanding of AI risk, governance, security and regulatory considerations ·Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

AI Solution Architect - Senior Manager/Associate Director | Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: ·Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs ·Designing and implementing end to end AI and ML architectures across enterprise environments ·Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments ·Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation ·Evaluating and selecting technologies across open source and commercial platforms ·Designing and integrating AI solutions into existing enterprise systems and applications ·Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives ·Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle ·Supporting architecture governance, technical review boards and design authorities ·Building relationships with technical and business stakeholders across large scale transformation programmes ·Producing solution design documentation, implementation plans and technical proposals ·Providing technical leadership and mentoring within multidisciplinary teams Experience Required: ·Experience designing AI, ML or modern data architectures within enterprise environments ·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies ·Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments ·Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns ·Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies ·Understanding of MLOps, LLMOps and model lifecycle management principles ·Experience designing APIs and integrating AI solutions into enterprise environments ·Strong understanding of modern data architectures and platform design principles ·Experience presenting architectural designs to technical and business stakeholders ·Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed) <(url removed)

Must hold SC or DV Clearance Permanent or Contract HYBRID (2 days a week onsite) You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. What You Will Be Doing We are looking for AI engineers who build and ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi-agent pipelines, integrating large language models and vision-language models into real workflows, and deploying them into secure and air-gapped environments for defence and national security customers. This is a delivery role. You will own features end-to-end - from design through to deployment in constrained environments where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi-agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision-language models into agent workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud, on-premises, and air-gapped environments Build production-ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads, and customers to translate requirements into working systems Contribute to evaluation frameworks, system integration, and performance tracking Act as a technical authority for agentic AI - setting design patterns for junior engineers Requirements Required Active SC clearance Commercial experience building multi-agent or agentic AI systems in production Strong Python skills and hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air-gapped, on-premises, or sovereign cloud Preferred Experience with multimodal reasoning Experience with edge or offline AI deployments Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications MLOps experience - model evaluation, monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter-agent communication protocols (e.g. A2A) Familiarity with MCPs for tool and context integration in agentic systems Familiarity with secure-by-design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open-source AI/ML projects Soft Skills Delivery-focused - you ship working systems, not prototypes Comfortable operating across the stack when needed Strong communicator - can present to technical and non-technical stakeholders Thrives in small teams with high ownership Benefits include: Rapid career progression and personal growth Flexible working hours Opportunity to shape the future of a fast-growing business Hybrid working model Company pension (NEST) with 4% employer contribution Private Healthcare 29 days holiday + public holidays TPBN1_UKTJ

Sub Agent – Major Civil Engineering & Infrastructure Projects Hampton, West London | Up to £65,000 + Package | Permanent | Full Time A leading UK civil engineering and infrastructure contractor is seeking an experienced Sub Agent to join a growing delivery team working across high-profile utility and infrastructure projects in the South East. With decades of success delivering complex schemes across water, transport, energy and the built environment, this privately owned contractor has built an outstanding reputation for long-term project delivery, technical excellence and investing heavily in its people. Their directly employed workforce, strong pipeline of secured work and commitment to internal progression make this an excellent opportunity for an ambitious engineer looking to step forward in their career. The Opportunity You’ll play a key role in the successful delivery of civil engineering schemes, managing site operations, supporting project delivery and ensuring works are completed safely, on programme and within budget. This position offers exposure to challenging infrastructure projects involving utilities, deep excavations, temporary works and complex construction activities within regulated environments. Key Responsibilities Managing day-to-day site operations and supporting overall project delivery - coordinating subcontractors, engineers and site teams - driving health, safety, environmental and quality standards on site - monitoring programme performance, costs and commercial targets - producing site documentation, reports and as-built records - leading site meetings and liaising with clients and stakeholders - supporting planning, risk management and temporary works coordination - ensuring projects are delivered defect-free and to specification What We’re Looking For Strong civil engineering background within utilities or infrastructure - experience delivering projects under NEC contracts - knowledge of CDM regulations, cost control and programme management - experience with deep excavations and temporary works - utilities or water sector experience, ideally within Thames Water frameworks - degree or HNC in Civil Engineering (or equivalent) - SMSTS and CSCS certification - NEBOSH or IOSH qualification - full UK driving licence - excellent leadership and communication skills Desirable Temporary Works Coordinator - Thames Water experience - service avoidance or confined space training - working towards professional chartership - Appointed Person CPCS What’s On Offer Competitive salary and long-term job security - company pension and life assurance - private medical cover - company vehicle or allowance - 25 days holiday plus bank holidays and additional loyalty days - flexible benefits package - leadership development and structured career progression - ongoing technical and management training - employee wellbeing and assistance programme - opportunity to work on some of the UK’s largest infrastructure frameworks This is an excellent opportunity to join a people-focused contractor with a strong reputation for promoting from within and delivering nationally significant infrastructure projects. To apply or find out more, get in touch today

Copilot Consultant – Outside IR35 - Remote Copilot Consultant Opportunity: We are seeking an experienced Microsoft 365 Copilot consultant to help accelerate enterprise-wide Copilot adoption and establish a scalable operating model for agent governance, enablement, and automation. The customer’s Microsoft 365 Copilot rollout is already underway with: Strong licensing adoption Baseline active usage Existing reporting capabilities Foundational user training delivered Their next phase is focused on: Driving meaningful day-to-day usage Enabling measurable value realisation Establishing safe and scalable agent development practices Creating a sustainable operating model for advanced users and publishers This is a hands-on consulting engagement focused on practical implementation, measurable adoption outcomes, and sustainable governance — not just strategy or technical build work. Copilot Consultant Responsibilities Accelerate Microsoft 365 Copilot adoption across the organisation through practical interventions and user enablement Create role-based guidance, adoption playbooks, and support models for both general users and power users Refine and operationalise usage metrics, reporting, and executive insight frameworks Establish a scalable agent governance model including SOPs, approvals, lifecycle management, and guardrails Define and implement a tiered operating model for users, power users, and trusted publishers Support integration between Copilot agents, Power Automate, and broader workflow automation opportunities Identify and prioritise high-value Copilot use cases, agents, and automation opportunities Deliver workshops, templates, documentation, and knowledge transfer to enable long-term internal ownership Copilot Consultant Suitability Requirements The ideal candidate will have: Hands-on Microsoft 365 Copilot and Copilot Studio experience Proven experience scaling Copilot adoption beyond pilot phases Experience implementing governance and operating models Strong knowledge of Power Platform and Power Automate Strong understanding of Microsoft 365 permissions, data governance, and security models Experience establishing agent lifecycle management and reporting approaches The ability to link adoption metrics to measurable business value and KPIs Strong stakeholder engagement and communication skills across technical and non-technical audiences Apply now to speak with VIQU IT in confidence. Or reach out to Phoebe Thompson via the VIQU IT website. Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on LinkedIn @VIQU IT Recruitment

Site Engineer - Civil Engineering, Basic Range of £55-70,000 + Benefits Listed • Good career growth opportunity, • Chance of future International Work, • Good payers & reward success We need to bring on Sharp Site Engineers into the business as we have 3 new awards hitting us between now and September across the Country. After a Site Engineer that can work with our experience General Foreman and Site Agent. There is a career path to Senior Engineer or Project Manager depending upon someone's motivators. Can you plan, problem solve and help drive production on site to meet program. Due to the nature of the projects you will have to be comfortable having a security check as many of these projects are on MOD bases or live Airports environments. Our Client • Group Turn over £450 Million, • Client focused - negotiating a huge volume of profitable work, • 30 + Years operating, • 3,500,000 Tonnes of Asphalt Laid What our client wants to see: • Civil Engineering Degree desired, • Openness to travel & staying away for work during the week, • Experience of Setting out, checking, management and record keeping, • Ideally looking to move careers before the 1st of September to support new project awards, • Clear experience in the UK on Civil Engineering & Infrastructure projects, • Clear communication skills - able to convey the message up and downstream to all the workforce Benefits on offer • Basic Salary Range of £55-75,000 dependent upon experience, • Accommodation provided, • Transportation provided, • Annual Bonus, • Medical & Life Cover, • Annual pay review

Technical Services Manager £60-62,000 Central London (Camden) Annual Bonus Pension Scheme Healthcare Our customer are one of the largest property and real estate organisations within the UK, owning and managing a number of mixed-use estates, trophy buildings, retail parks. At a prestigious mixed-use site in Central London, close to Camden / Euston, they seek a Technical Services Manager to help oversee delivery of Mechanical, Electrical & Public Health systems across a handful of buildings across the estate comprising multi-tenant commercial office space as well as landlord services. Working as part of an "in-house" team, the role will involve overseeing a 3rd party M&E contractor, liaising with tenants and stakeholders, etc. Guideline salary is in the region of £60-62,000 and includes a generous benefits package including an annual bonus, private healthcare, etc. Candidates will be fully qualified in either electrical or mechanical engineering, and with at least five years experience as a Technical / Engineering Services Manager. Ideally this experience will have been within the corporate or managing agent / real estate sector. Along with core M&E qualifications, additional training such as IOSH, NEBOSH or further education such as HND / Degree in and Engineering discipline will be beneficial. Further duties will include: · Compliance with all current legislation and recommended standards. Verify contractors risk assessments are up to date and appropriate to building and maintenance tasks. Ensure all written scheme is up to date. Ensure contractors emergency lighting log records up to date. Management of water treatment regime ensuring that water treatment manuals are up to date. Manage status of lift inspections and report via lift minutes. Ensure that all statutory inspections are carried out by the due date and manage/monitor progress of actions via external reports spreadsheet attached to appropriate minutes. · Provide day-to-day technical and operational support to building managers and occupiers. · Management of the permit to work system and check method statements where appropriate. Liaise with building management and occupiers regarding operational and technical matters such as plant shutdowns and work impacting on occupiers operation. · Review occupier license applications. Review and comment on drawings, specification and reports submitted by the occupiers and advise the landlord accordingly of any impact on base build operations or any technical or lease concerns. Liaise with tenant consultants on any technical or operational revisions. Monitor tenant fit-out work and liaise as necessary to ensure that work complies with the approved license for alteration. Carry out random inspection of fit-out works and report, liaise on findings as necessary. · Undertake regular audits of maintenance programme. Review call out sheets and investigate as necessary. Review concept ppm sheets / reports and investigate as necessary. Carry out random inspections of ppm / reactive works completed and in progress. · Preparation and management of engineering service charge budgets, to include procurement as per company policies. Budget control, preparation of relevant specification, raising orders/instructions/ contracts and verifying (processing) invoices. To develop, implement and manage environmental and energy conservation programmes, (working with others where necessary) ensuring optimum usage of energy. To advise on potential problems, improvements and possible savings. Analyse monitoring & targeting reports and investigate and action as necessary. Arrange independent energy audits as necessary and action recommendations as necessary. · Analysis and management of all engineering data/reports, ensuring that appropriate action/follow up is achieved. Identify & agree specialist consultant roles and review consultants brief on a regular basis. Manage other audit reports. Review actions/progress and monitor monthly via external reports spreadsheet attached to m & e minutes. · Implementation, management, and development of the concept planned maintenance system, ensuring information, plant history, drawings and technical information is accurate and up to date. Develop and maintain the base building asset register. Review and develop site-specific maintenance tasks. Ensure drawing and O & M’s are updated to reflect any changes carried out to the installed systems. Develop, implement, and maintain site-specific plant replacement programme. In conjunction with budgetary control. (plant life cycle asset management). · To ensure that the production of engineering service specifications, contracts and associated documentation properly represent the service requirement of the premises and are presented and executed in accordance with company guidelines. Prepare contract documentation to include: - tender documents, agreements and specifications. Manage tendering procedures. Analyse tenders. Undertake post tender interviews. Produce client contract placing report. Manage contractor closely during mobilization period and through to completion. · To ensure that the senior technical services manager, estate director and building management team are regularly appraised of any new developments or issues of a problematic nature. Report on any emergency incident that occurs. Report on any concerns relating to plant operation. Report on any tenant relationship related issue. Report any issue that could or will involve the HSE or EHO. · To ensure new buildings and areas of public realm are handed over in accordance with company guidelines and that all manuals are in place as soon as is reasonably practicable. · Set up new utility contracts for handed over buildings and public realm as required. · Conduct monthly utility recharges via billing platform. · Report on energy usage as per reporting requirements. · To ensure that the property's electronic security systems are fully operational and maintained as per the manufacturer's guidance and current best practice. Report on any concerns relating to plant operation. Liaise with the systems department as required, regarding contract specifications, maintenance regimes, auditing, equipment upgrades, documenting changes etc. Ensure maintenance contracts are in place. · To ensure the requisite engineering standards executed in the management of buildings are commensurate with those standards promoted by the board and detailed in the operations manuals. · Ensure adherence to companys pathway to net zero carbon. This is a fantastic and rare opportunity to work "in-house", with the security and fantastic benefits which accompany these roles. It will suit an experienced Technical Services Manager with experience managing within commercial multi-tenant environments, either currently working in-house / managing agent, or on the FM service provider side looking to make the move across to being the client. With the enhanced benefits, extra remuneration (circa £10-15k between pension/bonus), this makes for an attractive opportunity to work for an industry leading employer.

Freightserve recruitment are looking for an experienced AOG Export and Import people for well established and Niche sector Freight Forwarders based in Heathrow area. Job Description:- Dealing with AOG's shipments (start to finish) - Either Export or Imports For Exports:- Preparing Export consignments for shipping, ensuring all consignments depart from the UK in accordance with the client’s requirements. Handle and monitor all consignments ensuring compliance with all agreed company policies. Completing MAWB’s and HAWB's Completion of NES Customs entries Issuing of consignment security letters and airline lodge paperwork. Dealing with overseas agents. Dealing with telephone enquiries from both internal & external departments accurately and efficiently. For Imports:- Completing Import customs entries Liaising with Airlines, GSA's and Handling Agents * Dealing with Overseas Agent All hours and Shifts required!!!!! As an agency we are fast becoming the number one Freight specialist in the UK. We have a fast growing reputation with most Freight related companies. Freightserve has been established since 1992 working within the Freight Forwarding and Shipping industry

Data Governance Location: London - Hybrid – 3 days per week onsite Start Day: ASAP Contract Rate: £420 per day inside IR35 Duration: 6 to 12 months initially Role Overview Our client is seeking a Data Governance – Technical Tooling Specialist with strong hands-on experience in Informatica Intelligent Data Management Cloud (IDMC). This role will lead the configuration, administration, and operationalisation of IDMC data governance tooling across a complex enterprise estate, covering metadata management, data lineage, and data quality profiling across 30+ systems. The role operates within a regulated (BFSI/Insurance) environment and works closely with data, cloud, and platform engineering teams. Key Responsibilities • Configure, administer, and optimise IDMC services (CDGC, CDQ, Cloud Data Profiling), • Implement enterprise-wide metadata, lineage, and data quality capabilities across multiple systems, • Set up and manage IDMC out-of-the-box and custom connectors, • Install and support catalog scanners, including mainframe EBCDIC/VSAM technologies, • Configure IDMC security and Single Sign-On via Azure Entra ID (SAML), • Provision and manage IDMC Secure Agents and Agent Groups on Azure, including Azure Key Vault integration, • Lead testing, impact assessment, and controlled rollout of new IDMC features, • Support business glossary, governance workflows, and stewardship processes, • Collaborate with data stewards, platform engineers, and governance teams, • Contribute to CI/CD and automation using Azure DevOps or GitHub with Terraform/Bicep Skills & Experience Essential: • 3+ years’ hands-on Informatica IDMC experience (CDGC, CDQ, Cloud Data Profiling), • Experience with IDMC connectors, catalog scanners, and mainframe data sources (EBCDIC/VSAM), • Proven IDMC SSO implementation using Azure Entra ID (SAML), • Azure infrastructure experience for IDMC Secure Agents, including Key Vault, • Strong metadata management, data lineage, and governance framework experience, • Solid understanding of data governance concepts (CDEs, ownership, stewardship), • Strong SQL skills and experience with Azure Databricks, Azure SQL, and relational databases (SQL Server, Oracle, DB2, MySQL), • Good Azure cloud engineering knowledge (VNets, Firewall, VMs, Key Vault), • CI/CD experience with Azure DevOps or GitHub; Terraform/Bicep preferred Desirable: • Experience in regulated environments (Insurance/BFSI) If you have the relevant skills and experience, please do apply promptly to be considered