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Our client is a Start-Up and is looking to hire a Product Engineer working with Claude Code. This is their first Engineering hire and you will own the AI Agent chain for the Platform Build. This role can be done mostly remote with odd travel to Central London. Client Details Our client is a Start-Up and is looking to hire a Product Engineer working with Claude Code. This is their first Engineering hire and you will own the AI Agent chain for the Platform Build. This role can be done mostly remote with odd travel to Central London. Description • Design and develop new product features and functionalities in line with business objectives using Claude Code., • Participate in Product decisions - help shape what gets built, in what order and why, • Own the translation of product intent into effective briefs that the factory can execute against., • Ensure all products meet technical and quality standards before release., • Analyse and troubleshoot product issues, implementing solutions to improve performance., • Define and maintain the target technical architecture for the platform, ensuring every Claude Code output aligns with it., • Continuously review architecture decisions as the codebase evolves, • Own the documentation of the Product., • Guide Claude Code through effective prompting: precise context injection, constraint specification, and decomposition of complex work., • Know when to reject a plan entirely vs refine it vs let it run., • Review all code outputs for correctness, security, performance, and adherence to conventions., • Catch AI-specific failure patterns: hallucinated dependencies, plausible-but-wrong logic, over-engineering, pattern mimicry without understanding., • Monitor chain performance. When is fails, fix the chain. Profile Must haves: • Software Engineer background, • Worked with Claude Code, Cursor or Devin, • Benefits package to follow

AI Engineer – Azure Foundry • Remote with occasional travel to London, • 6 months initial contract, • £550-£650 per day via Umbrella This role requires successful candidates to go through an SC Clearance. A minimum of 5 years continuous UK residence required. Day-to-day of the role: • Design, build, and maintain AI models and agentic systems that improve regulatory services and internal operations., • Develop and tune machine learning models to ensure accuracy, fairness, and reliability in production use., • Orchestrate intelligent automation workflows using low code/no code platforms and agentic AI frameworks., • Monitor and maintain deployed models and agents, addressing performance drift and ensuring responsible use., • Work as part of a team to ensure business resilience and fix on fail capability of our portfolio of AI products., • Ensure compliance with standards for security, data governance, and responsible AI., • Support proofs of concept and innovation pilots, evaluating new approaches and technologies., • Share knowledge across the organisation, acting as a subject matter expert and champion for AI adoption., • Help to develop internal standards and processes., • Work with stakeholders to help realise their business requirements., • Proven experience developing, tuning, and deploying AI/ML models using frameworks., • Experience with Azure AI Foundry, • Hands-on experience with agentic AI tools and orchestration frameworks., • Proficiency in Python and familiarity with low code/no code platforms such as Microsoft Power Platform., • Strong understanding of responsible AI principles, including explainability, fairness, and ethical deployment., • Familiarity with retrieval-augmented generation (RAG), vector databases, and knowledge graphs., • Ability to work effectively across technical and non-technical teams, with strong communication and collaboration skills., • Awareness of data governance, secure handling of sensitive data, and regulatory considerations., • Knowledge of MLOps/DevOps practices, including CI/CD pipelines for ML models., • Understanding of reinforcement learning, multi-agent systems, or advanced optimization methods.

Job Title: SC CLEARED Copilot SME - Studio Agents (AI Agent Builder) Location: RemoteContract Type: 3-6 Month Contract (with possible extension) Role OverviewWe are seeking a highly skilled Copilot Subject Matter Expert (SME) with a strong focus on designing, building, and optimizing Studio Agents. This role will lead the development of intelligent AI agents that enhance productivity, automate workflows, and deliver scalable business solutions using Microsoft Copilot technologies. Key Responsibilities • Design, build, and deploy AI-powered Studio Agents using Microsoft Copilot and related platforms, • Act as the SME for Copilot capabilities, advising stakeholders on best practices and use cases, • Collaborate with business teams to identify automation opportunities and translate them into agent solutions, • Configure, test, and optimize conversational flows, prompts, and integrations, • Ensure governance, compliance, and security standards are applied to all Copilot solutions, • Provide training, documentation, and ongoing support to internal teams, • Proven experience with Microsoft Copilot, Power Platform, or similar AI tools, • Strong understanding of AI agents, prompt engineering, and conversational design, • Experience integrating APIs, data sources, and enterprise systems, • Familiarity with Microsoft 365 ecosystem (Teams, SharePoint, Dynamics, etc.), • Strong problem-solving skills and ability to translate business needs into technical solutions, • Experience with Azure AI services or OpenAI technologies, • Background in automation, RPA, or workflow orchestration, • Knowledge of governance and security best practices for AI solutions, • Certifications in Microsoft AI, Power Platform, or Azure

Technical Architect - Copilot AI & Integration (London) £110,000 - £130,000 Base Overview Method has partnered with a global business that is building out its AI capability within the Microsoft ecosystem. They are hiring a Technical Architect to take ownership of AI and integration, with a clear expectation that this person will design and build solutions, not just define strategy. The role sits within an Emerging Technology function and will focus on: • Microsoft 365 Copilot and AI agents, • Azure-based AI services The Opportunity The business has already started exploring AI, but there is no single owner of how it should be designed, built, and integrated. This role will: • Bring structure to how AI is implemented, • Ensure solutions are built in a consistent and scalable way, • Building solutions yourself, • Defining how others should build them going forward Key Responsibilities Take ownership of AI and integration across the Microsoft stack and Design and build AI solutions using: • Microsoft 365 Copilot, • Copilot Studio / Agent Builder, • Azure AI services (OpenAI, AI Foundry), • Develop AI agents and workflows that solve real business problems Design and implement integrations using: • Azure Functions, • Azure Logic Apps, • Power Automate / Power Platform, • Connect AI solutions into core systems such as HR, Finance, and operational platforms, • Work with APIs, webhooks, and event-driven patterns to ensure systems communicate properly Define and document: • Reference architectures, • Integration patterns, • Standards for how AI and integration should be delivered Work with stakeholders to: • Understand requirements, • Translate them into technical solutions, • Deliver working systems Support governance by ensuring AI solutions meet: • Security requirements, • Data protection standards, • Internal policies Act as the technical point of contact for AI and integration across the business Skills & Experience • Experience building AI solutions using Microsoft technologies, • Microsoft 365 Copilot or Copilot Studio, • Azure AI services (OpenAI or similar), • Azure Functions, • Logic Apps, • Power Platform, • APIs, • Authentication (OAuth, identity), • Event-driven architecture, • Experience designing systems that run in production and can scale, • Experience working in enterprise environments where:, • Security matters, • Systems are complex, • There are multiple stakeholders Please submit your CV to apply and learn more about this opportunity. Technical Architect - Copilot AI & Integration (London) RSG Plc is acting as an Employment Agency in relation to this vacancy.

Our client is seeking a Building Manager for their luxury residential development in South West London. This is a live-in package, that includes a spacious 1 bedroom apartment. Role: Building Manager Rota: Monday to Friday, 8am - 5pm (no Bank Holiday coverage) Location: SW London Salary: Up to £40,000pa (plus 1 bedroom apartment on site) The main purpose of the job is to keep site and its surrounds, in a high standard of appearance and operation. You should use your initiative to identify areas which fall below this high standard in any way and if a specialist is required, to contact the Managing Agent promptly. The Building Manager is a critical role for the success of the development. Responsibilities • Ensuring a welcome environment of owners, residents and visitors and to deliver a first-class estate management service to the residents., • To remain courteous and helpful to all occupiers, as well as members of the public, staff and contractors., • Overall control of the security of the Estate and responding appropriately to any incidents or issues reported to the appropriate people., • Maintain the record logs on site such as visitor book and key logs. Deliveries for the residents are the responsibility of the residents., • Responding to owners' queries (in conjunction with the Managing Agent where applicable) and maintenance issues and to assist the residents with their reasonable day -to -day needs pertaining to the management of the building, during working hours., • Ensuring that the property is a safe environment in which to live and supervise main entrance, foyer, and control access to the building., • Undertaking regular inspections of the property and car park, checking security, fire exits, unauthorised car parking. Monitor general condition of all aspects of external and internal common parts and carry out minor repairs where necessary., • To be familiar with the day-to-day operations of all plant and equipment serving the common parts of the development to include dealing with all emergencies such as breakdowns and fire escape procedures., • Administer all Statutory Compliance regimes and Health and Safety Policies for the property., • To ensure that you and all contractors are adhering to the required Health and Safety requirements and to report any issues to the Managing Agent., • To monitor the presence of workmen around the building and supervise their activities to ensure minimum disturbance to residents and compliance with the code of practice., • To immediately report any Health and Safety issues, including but not limited to RIDDOR, to the Managing Agent., • Managing site and owners' contractors where applicable, • Overseeing "in house" cleaning staff and ensuring cleaning duties are performed to required level., • To comply with all reasonable instructions given by Managing Agent., • Be available to attend meetings with Clients and/or its respective Board members as required/directed. This may include out of hours meetings during Monday to Friday., • To oversee the operation of all service contracts relating to the estate, to liaise with the Managing Agents with regards to their effectiveness and make recommendations on improvements for consideration., • Consider and put forward to the Managing Agent proposals for continuous improvement in the service delivered to residents., • To ensure cover is placed and provided when prior approved annual leave is taken for the Building Manager and the site cleaning operative. To manage the cleaning operative's annual leave schedule as their direct reporting., • To assist with ad hoc cleaning duties as and when required and throughout the week, EG cleaning spillages or increased high contact areas., • To monitor changes of occupation and keep records including the email addresses of the absentee landlords., • To politely but firmly check and deal with any complaints from residents or noise caused by other residents or their visitors., • To work with the Managing Agent to maintain and hold records relevant to Health and Safety compliance, including but not limited to, The Building Safety Act 2022., • Whilst on duty you should be dressed at all times in appropriate smart clothes and shoes, which should be kept in a clean and tidy condition with shoes polished unless carrying out caretaking duties., • You should refrain from smoking, being under the influence of alcohol or drugs, behaving unsociably, watching television, sleeping, eating and listening to music at any time whilst you are on duty., • As a residential Building Manager you are expected to deal with emergencies and building resident and contractor enquiries outside of normal working hours from time to time and as required, especially in emergencies. Personal Specification: • Exceptional leadership and interpersonal skills., • Good level of computer literacy using Microsoft Word, Excel, and Outlook., • Excellent written and verbal communication skills displaying sensitivities to the resident's needs., • Proactive and able to use own initiative., • Able to maintain a level head under pressure, • Able to multitask to ensure all outstanding actions are completed within timeframes set., • Able to prioritise workload whilst ensuring that all outstanding actions are completed within timeframes set., • To ensure that at all times the necessary standards of dress., • To demonstrate courtesy and attention to detail appropriate to the calibre of the development is maintained., • Always maintain professionalism All successful candidates will be contacted by the agency directly, you should allow 2 weeks for CV review. After this, if you have not received feedback, it is likely you have been unsuccessful.

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

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

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) 2. 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 3. 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.

Business Change Manager - Band C - Change - Counter Terrorism Policing HQ Salary: The starting salary is £48,995, which includes allowances totalling £3,009. The salary is broken down as £45,986 basic salary, which will increase annually until you reach the top of the scale £54,863. Plus, a location allowance of £2,009 and a non-pensionable allowance of £1,000. Location: West Brompton For Counter Terrorism Policing (CTP), delivering projects is not just about bringing improvements. It’s about keeping millions of people safe across the UK. Our Business Change Team supports a portfolio of projects and programmes that will help better protect our country. The Counter Terrorism Policing (CTP) Business Change Team has an exciting opportunity to help deliver our portfolio of change across the CTP network. Joining our rapidly growing Business Change team, we’re looking for a Business Change Manager to help our business understand, prepare, adopt and embed highly complex and diverse change. It’s your chance to play a part in a challenge that’s as important as it gets: protecting the UK and its communities. We are looking for a proactive and enthusiastic team member with some experience in managing change. You will join the team and be responsible for the day-to-day management and application of the Business Change framework, tools and methodology to implement sustainable change across the national Counter Terrorism Policing Network. You will have a varied role, where no two days are the same. You will join the team with a broad understanding of change management, and with support from the team will become a specialist in your field. You will work as part of a busy team, supporting the Business Change Leads in delivering our change portfolio and working closely with our change network and stakeholders. To be successful in this role you will have: • An understanding of the principles of change management or transferrable skills., • The ability to use information to assess how change is landing and assess risks and blockers, supporting effective decision-making., • The ability to provide effective challenge to interested parties, • Good planning and organisational skills, with the ability to meet demanding deadlines in a pressured environment., • Good interpersonal and facilitation skills, • Good communication skills, both verbal and written, across all levels including stakeholder engagement skills., • Ability to work unsupervised and as part of a team., • Self-starter, confident and capable of working both independently and collaboratively to tight deadlines with plenty of initiative., • Applying established change management methodologies (for example, Prosci, APMG Change Management/Agent etc.) How to apply To begin your career at the Met, please click the apply button “. The application process requires a comprehensive CV, a Personal Statement, and an online application form. In your Personal Statement, you should explain your interest in the position and illustrate how your skills and experiences make you a suitable candidate. Please note that you should not submit two copies of your CV, and ensure that your documents are saved in either PDF or Word format, clearly labelled as CV and/or Personal Statement. Completed applications must be submitted by 23:55 on 16 June 2026. Once received, your application will be reviewed against eligibility criteria, following this, your application will be reviewed by the hiring manager. Following application review, successful candidates will be invited to interview.

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.

Simulation Software Engineer You'll own substantial parts of a simulation engine that powers continent-scale defence training environments — covering the behaviour and interactions of pedestrians, traffic, shipping, aircraft, satellites, and critical national infrastructure. You'll shape how simulated actors decide and act, how simulation state stays coherent across a compute cluster, and how LLM-backed capabilities (natural language control, actor generation, simulated social media) are brought into the engine. Work spans a C++ simulation engine, a custom distribution framework, and a TypeScript/React front-end, within a cross-functional team of Software, QA, and DevOps Engineers. Key Responsibilities • Design and implement behaviour/decision-making logic for simulated entities in C++, • Integrate third-party simulation libraries into a coherent system, • Design simulation state partitioning across a distribution framework (IPC, bandwidth, fidelity), • Extend REST services and TypeScript/React front-end across the web/sim boundary, • Write design docs and run design reviews, • Review peers' designs and code; collaborate with Product and defence stakeholders, • Mentor teammates through pairing and code review, • Deploy and support the product on-site at customer exercises, hackathons, and industry events Requirements • 4+ years software engineering experience, • Experience in behavioural or agent-based simulation (game AI, VFX crowd sim, CGF, or similar), • Strong C++ for performance-sensitive, real-time systems, • Knowledge of spatial data structures, path planning, decision modelling, vehicle movement, • Ability to reason about distributed simulation design (IPC, bandwidth, domain partitioning), • Comfortable moving between languages and stack layers, • Proactive, communicative style — able to challenge and draw out contributions, • Product engineering mindset, • Comfortable with AI-assisted development workflows, • Eligible for UK SC-level security clearance, • Able to attend Shoreditch office at least once per week Nice to Have • LLM-enabled product feature experience (NL interfaces, content generation, agent behaviour), • Rust, particularly for distributed/systems-level work, • Geospatial concepts and map data processing for simulation, • Defence sector, military modelling/simulation, or wargaming familiarity, • Kubernetes for compute cluster orchestration, • Prior tech lead experience or interest in that pathway Benefits • Hybrid (1 day/week in Shoreditch), • Private health insurance, • Enhanced pension, • Enhanced parental leave, • 3 extra days off at Christmas (on top of 25 days), • L&D budget, • Regular socials, • Share options

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, • 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, • 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, • 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 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, • 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 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, • 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.

Overview: TekWissen Group is a workforce management provider throughout the UK, Europe and many other countries in the world. The client below is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries Role: AI Native Software Engineer Location: London, UK Work type: Hybrid Duration: 6 Months Job Summary: • We are seeking a hands‑on AI Native Software Engineer to design, build, and deploy production‑grade AI‑driven systems within complex enterprise environments., • In this role, you will focus on agent‑based architectures, AI platform integration, and cloud‑native development, delivering scalable, reliable solutions that power real business workflows. Core Duties • Design, implement, and maintain AI agent workflows, including retrieval‑augmented generation (RAG), orchestration, tool/function invocation, and policy‑based routing, • Build cloud‑native backend services and APIs to support AI‑driven applications and enterprise integrations, • Implement evaluation, monitoring, and observability frameworks to ensure accuracy, latency, reliability, and system health across AI agent lifecycles, • Production‑ready AI‑powered applications aligned to defined business workflows and enterprise standards, • Scalable multi‑model and multi‑provider AI architectures, including abstraction layers for provider flexibility, • Fully deployed cloud‑native services using microservices, containers, and serverless or event‑driven patterns, • Microsoft Office (Excel, Word, Outlook, Teams), • AI Platforms & Models: OpenAI, Anthropic (Claude), Google Vertex AI, and select open‑source models, • Agent & Orchestration Frameworks: LangGraph, AutoGen, CrewAI (or similar), • Cloud & DevOps Tooling: Docker, Kubernetes, Terraform, Helm, CI/CD pipelines, • Build real, enterprise‑grade AI systems that move beyond experimentation into production, • Remain deeply technical in a 100% hands‑on engineering role with no people‑management responsibilities, • Work with modern AI platforms, multi‑model architectures, and cloud‑native technologies, • Focus on high‑impact delivery with clear scope, measurable outcomes, and implementation ownership, • Bachelor’s degree in Computer Science, Engineering, or a related technical field or equivalent practical experience, • 8–10+ years of professional software engineering experience with ownership of production systems, • 3+ years of hands‑on experience building and deploying AI/LLM‑based systems in production (agents, RAG pipelines, orchestration), • Strong experience designing and delivering cloud‑native systems, including APIs, microservices, containers, and serverless or event‑driven architectures, • Proficiency in Python, Java, or comparable backend languages, • Hands‑on experience with CI/CD pipelines, infrastructure as code, and monitoring or observability tools, • Experience with agent frameworks such as LangGraph, AutoGen, CrewAI, or similar, • Experience designing multi‑agent or distributed AI systems, • Familiarity with multi‑model and multi‑provider AI architectures, • Experience integrating AI solutions into enterprise‑scale systems or platforms, • This is a 100% hands‑on engineering role with no people‑management responsibilities, • Strong problem‑solving skills and technical judgment in complex enterprise environments, • Ability to collaborate effectively with internal and client engineering teams, • Comfortable working within existing architecture standards, security requirements, and engineering best practices

Job Description We are currently recruiting an exciting opportunity for an AI and Automation Specialist to join our IT team. Role Overview In this hands-on delivery role, you will lead the build and deployment of automation and agent solutions using Microsoft 365 tooling. You will turn prioritised use cases into secure, reliable releases, while establishing repeatable delivery approaches for the future. You will work closely with Information Security, Cyber and Technology Risk to ensure that delivery aligns to policy and control requirements. Responsibilities include: • Configuring and enhancing CoPilot Studio agents and Power Automate workflows within agreed boundaries., • Shaping technical delivery options for each use case, selecting pragmatic patterns that can be reused and scaled., • Implementing secure controls, including permissions, access boundaries, and least privilege., • Producing production ready assets including error handling, logging, support notes, and handover documentation., • Supporting testing and release activity, including defect resolution and early life support., • Contributing to benefits capture by defining measurable outcomes for delivered solutions and supporting evidence collection. Person Specification The ideal candidate will have strong working knowledge of Microsoft 365 automation and agent tooling, including Power Automate and CoPilot Studio. You will have a deep understanding of identity, access and permissions in M365, and how these affect data exposure. Experience working in regulated environments with strong control expectations and auditability is essential. You will also demonstrate a strong understanding of data access and information risk concepts, and will demonstrate a strong knowledge of delivery standards for production releases. About Us Transact is a leading UK investment wrap platform for financial advisers and their clients. Our culture is collaborative, inclusive and open-minded. We work hard to continually challenge the way we do things to maintain our market leading status. As a customer-centric and client-focused business, we put our clients, like Mrs Miggins, at the heart of everything we do. Our platform enables clients and their advisers to manage their financial portfolio in one single online place, and is supported by unrivalled personal service. Our goal is to make all aspects of portfolio management as easy and efficient as possible for everyone involved, through the features we develop, our integrations with other systems, and the support we provide. Our purpose : We enable the Miggins family and their adviser to hold their investments on a single platform across wrappers. We provide custody, tax wrapping, trading and reporting. Our strategy : We make financial planning easier for advisers by delivering great service. Our platform helps advisers grow revenues and reduce risk and cost in their business. We will always have control of our technology, wrappers and service. Our values : We do the right thing for customers, advisers, staff, shareholders, suppliers and the wider community. Transact's parent company, IntegraFin Holdings plc, is listed on the London Stock Exchange and is a constituent of the FTSE 250 index. Established in 2000, today we have over £77.2 billion of funds under direction on behalf of over 249,000 investor clients (as at December 2025). Equal Opportunities We provide a diverse and inclusive workplace and ensure that all of our staff respect and understand individual differences. We are an equal opportunities employer and positively encourage applications from suitably qualified and eligible candidates regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex or sexual orientation.

Role Overview The Head of Engineering is responsible for leading our multi-disciplinary engineering team at Whitespace, with overall accountability for delivery, quality, and the growth and performance of the team. You will work alongside our Head of Product & Design to scale and nurture an integrated product and engineering team that is delivering a range of cutting-edge applied AI products to mission-critical environments, applying the latest thinking in knowledge graphs, hybrid multi-agent systems, distributed systems, and more. You will set a clear pace, lead with high quality and security standards, and create the conditions where great engineers can move quickly, take smart risks, and do their very best work. As we reinvent our processes to make the most of both human and machine capabilities, you'll need to constantly ask “how can we go faster without compromising our clients or our reputation?” . You’ll join a well-funded team with strong technical foundations, proven product-market fit, true purpose and real ambition. Our strategic technical priority is developing and harnessing the next generation of our cutting edge decision superiority platform, Collective, applying its capabilities to unify our established products and point consulting solutions into a scalable, repeatable, connected ecosystem. The challenge is not only to scale what we already have, but to lead transformation with clarity and conviction, rethinking how a modern engineering organisation should operate in a world shaped by rapid iteration and AI-assisted development. Duties and Responsibilities Execution and Engineering Excellence • Instil a test-first, evaluation-driven mindset across the engineering organisation, leading by example., • Codify engineering standards - both ‘functional’ and ‘non-functional’ - through automated tests, to enable us to ship fast without breaking things., • Build systems and practices that support both human engineers and AI agents delivering at scale into production environments.•, • Establish engineering foundations that make it faster and easier to transform consulting-led solutions toward reusable products on a common platform., • Set and uphold high engineering standards with clear accountability and continuous improvement loops. Velocity, Systems Thinking and Innovation • Rethink processes from first principles, especially in the context of human and AI collaboration, balancing risk appetite against velocity., • Assume today’s process is already out of date, and redesign accordingly to get the most out of emerging capabilities., • Drive the shift from one-off solutions to reusable products that build on and reinforce shared platform capabilities., • Ensure experimentation, measurement, and fast iteration are the default, not exceptions. Team, Talent and Performance • Lead and develop our Engineering Managers and Principal Engineers who report into this role, setting clear expectations and building the leadership depth the organisation needs to scale., • Recruit, develop, and retain exceptional engineering talent., • Partner with the CTO to design the incentives, structures, and ways of working that enable people to perform at their best., • Use our mission and culture to build an engineering team that sets the standard for how, • AI-native software gets built for high-stakes environments. Leadership and Collaboration • Partner closely with the CTO to shape engineering strategy and execution., • Carry the room on difficult decisions and adapt style to help manage teams through significant change., • Handle sceptical stakeholders by showing the work, not by selling it., • Create an environment where people feel safe to experiment, challenge assumptions, and push boundaries. Requirements • Significant experience leading and scaling Engineering functions in fast-growing software product companies, with a track record of shipping to production at high frequency., • Proven experience transforming engineering ways of working, promoting progressive techniques like trunk-based development, continuous delivery and test and evaluation-driven practices, and setting ambitious, measurable productivity targets that drove systemic change., • Practical experience of agentic delivery, embedding AI coding tools and agents into real engineering workflows. We acknowledge that few have built a fully agent-first organisation, but you should have tangible, hands-on experience of leading a project or programme meaningfully in that direction, including the internal tooling, telemetry, and incentives that make it work in a regulated, security-sensitive context.•, • Experience working within or alongside defence, national security, or regulated industry contexts, with a practical understanding of the associated security, compliance, and accreditation requirements. Technical Skills • Deep understanding of modern software architecture, distributed systems, and platform engineering, with the credibility and judgement to shape technical decisions at platform and portfolio level., • Fluency with the agentic engineering landscape, covering coding agents, evaluation frameworks, context engineering, agent-assisted and autonomous code review, internal plugin and skill platforms, and the telemetry needed to measure and improve human and agent performance., • Strong grounding in a range of languages, continuous delivery tooling, CI/CD, feature-toggle infrastructure, observability, and automated testing and evaluation at scale., • Experience supporting a wide range of deployment targets, from cloud and on-premise to virtual machines, bare metal, and embedded devices, and a solid understanding of secure software development and supply-chain integrity in regulated delivery pipelines. Skills and Behaviours • Quality-first: treats quality, testing and evaluation as enablers for high velocity, and security and reliability as first-class engineering concerns, especially when agents are in the loop., • Opinionated leader: holds a clear, evidence-based point of view on how modern, agent-first engineering organisations should operate, and brings others with them., • Decisive and outcome-driven: sets ambitious, measurable productivity goals, uses them to expose and systematically remove bottlenecks, using AI thoughtfully as a force multiplier., • Builder of people: recruits, develops, and retains exceptional engineers, and lifts the standards of everyone around them, especially in their adoption of agentic tooling., • Pragmatic and resilient: balances technical ambition with commercial and programme realities, thriving in a fast-changing environment with significant ambiguity. Mission and Opportunity • Work in a serious, mission-driven company with enormous growth potential where our software has to hold up under real pressure., • Build a new advanced platform while transforming existing products and consulting outputs into scalable offerings., • Set the template for how engineering is done at scale in defence, national security and highly regulated settings.

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.

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., • 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.

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

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

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., • 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., • 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., • Guide and review configuration across Customer Service Hub, Contact Center capabilities and Power Platform., • Support functional testing, UAT preparation and defect triage., • Design with adoption in mind, considering usability, role clarity and operational readiness., • Ensure functional designs support reporting, quality management and continuous improvement., • Work closely with Technical Architects to align functional requirements with technical design., • Highlight non‑functional considerations early, including performance, scalability and security., • 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., • 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.

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

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

£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.

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, • 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, • 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] [t] +44 20 3745 6537 linkedin.com/in/jack-peck-448a70131

As an AI Engineer at Avanade, you will design, build, and deliver advanced agentic AI solutions using the latest Microsoft technologies. Working directly with clients, you will help solve complex business problems by applying strong engineering practices, deep Microsoft platform expertise, and a pragmatic approach to delivering measurable outcomes. This is a hands-on, client-facing engineering role, combining AI engineering, solution design, and delivery excellence. You will work as part of multi-disciplinary teams to translate ambiguity into secure, scalable, and production-ready AI solutions. Role Responsibilities • Collaborate with clients to understand business challenges and identify opportunities where agentic AI can drive meaningful value., • Design, develop, and deploy AI agents using the latest Microsoft technologies (including Microsoft Copilot Studio, Azure AI Foundry, and supporting Azure AI and Power Platform services)., • Integrate AI solutions with enterprise systems, data sources, and workflows using Microsoft Power Platform and Azure services., • Contribute to solution and technical design, ensuring alignment with security, governance, scalability, and operational standards., • Participate in client workshops, technical discussions, and solution shaping sessions., • Support pre-sales activities when required through technical input, solution design, and proof-of-concept development., • Develop reusable assets, patterns, and accelerators that strengthen Avanade’s AI and automation capabilities., • Stay current with emerging Microsoft AI technologies and contribute to internal AI & Data communities of practice. Required Skills and Experience • Hands-on experience delivering solutions using Microsoft Copilot Studio., • Microsoft certifications in AI, Power Platform, or Azure (desirable)., • Awareness of governance, security, and responsible AI considerations in enterprise environments., • Experience working in consulting or professional services organisations., • Familiarity with Azure services commonly used in AI solutions, such as Azure OpenAI, Functions, Logic Apps, and API Management., • Experience with Microsoft Power Platform (Power Automate, Power Apps, Dataverse)., • Experience working with Azure AI Foundry or equivalent AI development capabilities on Azure. Preferred Skills and Experience • Ability to clearly communicate technical concepts to both technical and non-technical stakeholders., • Strong engineering mindset with the ability to build, test, deploy, and support production-grade solutions., • Understanding of agentic AI concepts, orchestration patterns, and multi-agent solutions., • Experience designing and delivering AI-driven or automation solutions in a client-facing environment., • Strong expertise in prompt engineering, including optimisation, testing, evaluation, and guardrail design. Enjoy your career Some of the best things about working at Avanade • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications), • Access to global Data & AI communities, accelerators, and subject‑matter experts, • The chance to work on complex, high‑impact initiatives across data governance, analytics, and AI, • Clear and supported career progression across Consultant and Senior Consultant levels Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page. Create a future for our people that focuses on • Expanding your thinking • Experimenting courageously • Learning and pivoting Inspire greatness in our people by • Empowering every voice • Encouraging boldness • Celebrating progress Accelerate the impact of our people by • Amazing the client • Prioritizing what matters • Acting as one Learn more To learn more about the types of projects our Data Engineering team works on check out these case studies: Interested in knowing what’s going on inside Avanade? Check out our blogs:

Your work days are brighter here. We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too. About the Team The AI Practice Delivery team sits within Workday's Professional Services organization and focuses on helping customers realize tangible business value from Workday AI across HCM and Financials. Our functional consultants work directly with HR, Finance, and IT stakeholders to design AI enabled business processes, define use cases, and guide change management and adoption. We partner closely with Product, Engineering, and Engagement Management to ensure that every AI deployment is grounded in strong functional design, robust data foundations, and a clear story for end users. Our work is highly visible: we help some of Workday's most complex global customers move from AI concepts to day to day workflows that feel intuitive, responsible, and impactful. About the Role As a Principal Functional AI Practice Delivery Consultant, you will be the primary functional architect responsible for designing end-to-end AI transformations for our most complex customers. You'll connect the capabilities of Workday's Native AI Agents, the Workday Agent Platform, and our Sana integration to real HR and Finance processes and business outcomes. You will act as a trusted advisor to executive sponsors, design AI-enabled process and operating models, and lead functional workstreams through preparation, activation, and adoption. In this role, you help customers move well beyond AI "hype" by ensuring every solution is usable, ethical, scalable, and tied to measurable value. Key Responsibilities About You Basic Qualifications (P5/Principal) • 10+ years of experience in enterprise software consulting or functional implementation (e.g., Workday HCM, Financials, Talent, or similar), including significant experience leading complex, multi-country or multi-business-unit projects, • 2+ years of experience designing or delivering AI-enabled or analytics-driven solutions in an enterprise context (e.g., AI agents, intelligent automation, advanced analytics, or ML-powered features) Basic Qualifications (P4/Senior) • 7+ years of experience in enterprise software consulting or functional implementation (e.g., Workday HCM, Financials, Talent, or similar), including significant experience leading complex, multi-country or multi-business-unit projects, • 1+ years of experience designing or delivering AI-enabled or analytics-driven solutions in an enterprise context (e.g., AI agents, intelligent automation, advanced analytics, or ML-powered features) Other Qualifications • Strong business acumen, with the ability to understand HR and Finance strategies, define AI-enabled use cases, and connect AI capabilities to concrete business outcomes for customers, • Deep functional knowledge of Workday HCM and/or Financials, including configuration concepts, business processes, security considerations, and reporting/analytics patterns, • Experience in solutions design, including leading discovery and design workshops to translate business requirements into AI-enabled workflows, agent behaviors, and governance models, • Background in professional services or consulting, with experience managing high-stakes client delivery and collaborating in multi-disciplinary project teams (e.g., engagement management, technical, change management), • Excellent communication skills, with the ability to explain complex AI concepts in accessible terms for non-technical stakeholders while maintaining credibility with technical and product partners, • Demonstrated decision-making and process improvement skills, using data and feedback from deployments to refine methodologies, templates, and best practices over time, • Comfort working in evolving spaces, with a growth mindset and a desire to continuously develop your expertise in AI, agentic workflows, and Workday's Ethical AI principles, • Commitment to Workday's Ethical AI standards, ensuring all solutions are designed to be transparent, fair, and secure for all users Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

Senior Full Stack Engineer (.NET / React / Azure / AI) 📍 UK (Remote) 💰 £70,000 + Benefits The Opportunity We’re partnering with a rapidly growing AI & Cloud consultancy that is building something genuinely different in the market. This isn’t just another consultancy role. You’ll work across: • 🚀 Cutting-edge internal AI products being taken to market, • 🤝 High-impact enterprise customer projects, • 🧠 Direct collaboration with one of the most technically respected leaders in the cloud & AI space This is a hands-on engineering role for someone who wants to operate at a high technical bar, shape architecture decisions, and build modern AI-enabled platforms properly. If you care about clean design, security, performance, and using AI responsibly to accelerate engineering — you’ll thrive here. What You’ll Be Doing • Designing and building secure, scalable cloud-native applications, • Contributing to internal AI-powered products from concept to market launch, • Working closely with a deeply technical industry leader to shape architecture and engineering standards, • Building modern full-stack platforms across backend, frontend, cloud, DevOps and AI tooling, • Embedding AI-assisted workflows into real-world engineering environments, • Contributing to multi-tenant, secure SaaS architectures Technical Environment: Backend Engineering • C# (.NET / .NET Core), • ASP.NET Core APIs, • Entity Framework Core & Dapper (and knowing when to use each), • SOLID principles & clean architecture, • Asynchronous programming, concurrency & performance tuning, • TDD, unit testing & integration testing, • Code quality gates & peer review discipline, • Secure coding practices Frontend Engineering • TypeScript, • React, • Next.js, • Modern frontend patterns (hooks, state management, server/client data fetching), • Robust API integration & error handling Identity & Security Architecture • Authentication & authorisation design, • SSO flows, • OAuth2 & OpenID Connect, • JWT best practices (signing, expiry, refresh, validation), • Multi-tenant architecture (data isolation, tenant-aware auth, scaling) Cloud & Infrastructure (Azure) • Azure PaaS (App Services, Functions, Storage, Service Bus, Key Vault), • Docker & containerisation, • AKS / container orchestration fundamentals, • Azure Entra ID & managed identities, • Secure networking (VNets, private endpoints, ingress/egress patterns), • Infrastructure as Code (Terraform, Bicep or similar) DevOps & Delivery • Advanced CI/CD pipelines (Azure DevOps, GitHub Actions), • Build, test & release automation, • Secure pipeline design & secrets management, • Environment promotion strategies AI-Enabled Engineering • AI-assisted development workflows (Copilot, Claude Code or similar), • Advanced prompting for engineering tasks, • Agent-based or orchestration familiarity (Semantic Kernel, AutoGen or similar), • AI coding guardrails & validation gates, • Using AI as a force multiplier without compromising maintainability or security What Makes This Role Different • You’ll help build real AI products, not just prototypes, • You’ll operate at a genuinely high engineering bar, • You’ll work directly with one of the most technically credible names in the industry, • You’ll influence architecture, standards and best practice from day one, • You’ll join at a stage where your impact is visible and meaningful Salary & Package • 💰 £70,000, • Flexible working, • High ownership, high autonomy, • Exposure to advanced AI engineering practices

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

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional travel required) Responsibilities: AI Solution Development • Design, build, and deploy AI/ML models and intelligent applications across SBS platforms, • Develop solutions leveraging:, • Machine Learning (ML), • Natural Language Processing (NLP), • Generative AI (GenAI / LLMs), • Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps • Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring, • Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment, • Maintain and optimize model performance, accuracy, and efficiency over time Product Integration • Integrate AI capabilities into core banking, payments, and digital platforms, • Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions, • Support API development and microservices architecture for AI-driven features Data Engineering Collaboration • Partner with data engineers to ensure data quality, availability, and pipeline integrity, • Work with structured and unstructured datasets across large-scale, distributed systems Innovation & Continuous Improvement • Stay current with advancements in AI, GenAI, and emerging technologies, • Contribute to experimentation, prototyping, and innovation initiatives, • Identify opportunities to improve automation, efficiency, and decision-making through AI Qualifications: Software Architecture & Design • Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases. This is not optional — the existing system follows these patterns, and new code must be consistent., • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility. Can own the API surface that internal consumers depend on., • System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches. Can reason about how components interact across service boundaries., • Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions. Understands how data structures affect downstream consumers and the system's evolution. AI & LLM Application Skills • LLM application development: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows. Candidates who have only fine-tuned models or only called a single provider’s API do not qualify., • Model-agnostic design: This is a sovereign AI system. The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers), not couple to any single provider. Must understand model routing, fallback strategies, and how to build systems that can swap underlying models without application-layer rewrites. Experience limited to a single commercial API (OpenAI, Google, Anthropic) without abstraction is insufficient., • Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next. This could be via LangGraph, CrewAI, AutoGen, custom agent loops, or any framework — the underlying patterns (ReAct, plan-and-execute, reflection) matter more than the tool., • Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks. Understands few-shot, chain-of-thought, XML/structured prompting, and the behavioral differences between model families and sizes. Critically, understands that prompt strategies must adapt when moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role that builds AI systems — not a data science role that happens to write Python. Safeguards for hallucinated tools, loops, partial completion, and unsafe actions. Understands async trade-offs, batching, streaming, and latency accumulation Engineering Qualities • Works within existing systems: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write — not lobbying to rewrite it., • Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns. Understands that agentic autonomy creates new failure modes that must be anticipated., • Clear communicator: Can explain technical trade-offs to non-technical stakeholders. Can write clear design documents. Can articulate why an agentic approach is or is not appropriate for a given problem. Company Overview At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

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

Who we are governr is the system of record for AI in regulated financial services, healthcare and government. The independent control layer above security tools, GRC point tools and foundation models. Buyers are CROs, CISOs, and Heads of AI at banks, PE firms, wealth managers and insurers. Their problem is concrete: AI is doing material work in their firms and they don't have a control infra to manage material business risks, regulatory exposures and deployments with confidences. Forward Deployed Engineers sit inside that problem. You lead with client teams during the AI Atlas sprint, turn their environment into working deployments of governr, and enable them to scale their AI deployments. You are equal parts engineer, domain consultant and product input channel. What you'll do • Lead technical delivery of Atlas Program engagements: discovery against the client estate, mapping AI systems and digital workers to our 60 risk factors and 80+ agent-specific controls, producing the board-ready output., • Deliver integrations into client stacks: cloud (AWS/Azure/GCP), identity (Okta, Entra), security signal producers (Wiz, CrowdStrike, Noma), GRC (OneTrust, Vanta), and foundation model providers (Anthropic, OpenAI, Bedrock, Palantir)., • Translate regulatory frameworks (EU AI Act, FCA PS26/2, DORA, FINRA 25-07, SS1/23) into deployed controls inside the platform, working with the regulatory and product teams., • Run the agent moments live in client environments: surface orphaned agents, quantify exposure, and walk a CRO through what they're actually looking at., • Feed the product roadmap. You see what works in the room and what breaks at deployment and what our clients demand in addition to excel., • Own technical relationships post-deployment. You are the engineer the client trusts. What we're looking for • 3+ years engineering experience, ideally with at least one stint in a customer-facing or deployment role (FDE, solutions engineer, delivery engineer, technical consultant)., • Strong Python or TypeScript. Comfortable across cloud APIs, IAM, and event-driven architectures. You can read a Terraform stack and a CloudTrail log and tell us where the AI is hiding., • Track record of shipping integrations against messy enterprise environments, not just clean greenfield builds., • Credibility in front of senior technical and risk stakeholders. You can hold a room with a CISO and a Head of Model Risk in it. Security and risk fundamentals are essential, • Bias to operating in ambiguity. Engagement sprints are always scoped, but never tidy. Its our job to get this all over the line and help them. • Financial services background, bonus: prior work on agentic, model risk What you'll get • Founding-team-adjacent seat. You work directly with the CEO, CPO, and CTO, and you are in front of clients from week one., • A category is being built in real time. Control infrastructure for AI is the Wiz-for-cloud parallel we are early and the structural moat is real. • Competitive salary, equity, and the seed-stage upside to match., • Real clients with real pain. PE funds, mid-tier banks, insurers and wealth managers across the UK, EU, and US.

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)

Job Title: Senior Network Security Engineer Location: Remote working, but with occasional meetups in London/Surrey This is a hands‑on role at an early-stage tech company that’s building an AI‑powered cybersecurity platform for small and mid‑sized businesses and the MSPs that serve them. The product combines a plug‑and‑protect network device, a mobile app and a unified portal to deliver enterprise-grade continuous network monitoring, automated vulnerability detection and AI-guided remediation. Their Software Engineers have built a lot already. Now they need a Network Specialist to evaluate it, test it, break it, fix it and help raise the security and reliability bar across the stack. If you enjoy picking up complex systems, understanding how they behave and making them better, you’ll fit in well. The role: This is a senior role in a small team so you will need to work hands-on in multiple areas of the tech stack, requiring a depth of core networking and security knowledge, ideally along with the ability to lead others as the team grows. You will be evaluating, rules checking, testing, security testing and troubleshooting multiple device resident backend and frontend systems. You will pick up these critical systems, evaluate them and help make them as functional, secure and reliable as possible. Their solution bundles the following cybersecurity tools: • On device: Network SYN scan detection; SMB Honeypot; Scheduled network scans via embedded nmap; Sinkhole DNS server with automated domain inspection pipeline., • Network Device fingerprinting, • LLM guardrails system, including AI/ML prompt poison detection, • Public IP address scanning leveraging automated VPN tunnels, • Web admin portal (React and Node.js), • Proprietary SNMPv3 agent (Golang) reporting Windows, Mac and Linux stats, • Small business website spider inspector to assess exposure details, • CVE ticket sub-system enriching the CVE with LLMs for summary and remedy playbook, • Small business associated domain monitoring for reputation / clone analysis You don’t need to be an expert in every one of these areas, but you should have knowledge and be comfortable working across this technical landscape. What you need to bring: • Strong understanding of CVEs and the surrounding ecosystem and tools, • Deep networking knowledge across TCP/IP, DNS, DHCP, routers, firewalls, VPNs, NAT, subnets etc, • Understanding of on‑prem and cloud infrastructure network security, • Scripting skills such as Python or Bash, • Experience in testing, troubleshooting and diagnosing operations of devices and hosts on networks • Penetration testing of APIs and network services, • Linux and Ubuntu networking experience, • Familiarity with network scanning tools such as nmap, • Knowledge of cybersec frameworks like MITRE It’s helpful (but not required) if you also know: • Website architecture and security, • Microsoft Windows networking, • Test tools / frameworks, • Software engineering and architecture, with a preference for any experience coding in Python/Django, C/C++ or similar • Comfortable using AI coding tools such as Claude Code Why this role matters You’ll be joining early enough to shape how the product evolves and how the engineering culture develops, along with meaningful stock options. There’s no bureaucracy and no layers of management. Just meaningful problems to solve, systems that need improving and a team that wants someone who can take the lead where it’s needed. If you prefer hands‑on engineering over slide decks and are comfortable working in a fast-paced, ambitious startup environment, this could be the right move for you.

Site Engineers We are seeking experienced Site Engineers (both Civils and Structural) to join our teams in North East and North West of England. This role reports directly to the Site Agent/Project Manager and is responsible for coordination of various stakeholders whilst ensuring compliance with contract terms, negotiating contract conditions, and mitigating potential risks. Responsible for monitoring the progress of projects from beginning to end; from design & planning through to construction and handover using RAMS. Key Accountabilities Health & Safety (H&S) • Treat Health & Safety (H&S) as a non-negotiable value on every level ensuring that all projects are delivered with H&S at the forefront., • Keep up to date with environmental matters, and be aware of policy and developments in this area., • Monitor all aspects of H&S on site such as safety of working equipment, PPE etc, • Report all accidents and near misses as per the current reporting procedures, • Assist with H&S investigations Environmental • Take care for the environment and comply with SEPA General Binding Rules, • Report all environmental incidents, near misses and hazards to the appropriate person, • Suggest potential improvements to environmental management within the company to the relevant person, • Assisting with Investigations if required Quality • Setting processes and procedures and ensuring they are implemented, • Adopting high-quality standards in line with company values and expectations, • Ensure Checklists are in place and completed as and when works are undertaken Commercial • Manage costs for the contracts and projects., • Maximise contract and project value and minimise wastage/costs., • Administer the programme and react to time deadline achievement, ensuring that work is completed to deadline Leadership • Delegating Tasks, • Coaching/ Mentoring, • Managing Performance and reporting on any issues, • Staff Training Plans Information Security • Complying with the Security Policy and associated procedures, • Protecting information for which they are responsibl Essential Skills and Experience • HNC in Civil Engineering, • Knowledge of Civil Projects, • Excellent Communication Skills, • Pro-active with Strong Leadership Skills, • Strong Influencing skills, • Excellent Attention to Detail, • Problem Solving, • Strong IT Skills, • Excellent Attention to Detail, • Negotiation Skills, • Strong Financial Acumen, • Experienced in Planning and Forecasting, • Complex Problem Skills, • Effective Decision Making Skills Preferred Skills and Experience • Driving Licence Additional Requirements: • May be required to work away from home visiting sites, • May be required to work occasional overtime/weekends as required to carry out the work Why Join us? • Competitive Salary and Benefits Package, • Car Allowance and access to pool cars, • Opportunity for professional development and career progression, • Work with a supportive and forward-thinking team, • Private Healthcare (BUPA)

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

Simulation Software Engineer You'll own substantial parts of a simulation engine that powers continent-scale defence training environments — covering the behaviour and interactions of pedestrians, traffic, shipping, aircraft, satellites, and critical national infrastructure. You'll shape how simulated actors decide and act, how simulation state stays coherent across a compute cluster, and how LLM-backed capabilities (natural language control, actor generation, simulated social media) are brought into the engine. Work spans a C++ simulation engine, a custom distribution framework, and a TypeScript/React front-end, within a cross-functional team of Software, QA, and DevOps Engineers. Key Responsibilities • Design and implement behaviour/decision-making logic for simulated entities in C++, • Integrate third-party simulation libraries into a coherent system, • Design simulation state partitioning across a distribution framework (IPC, bandwidth, fidelity), • Extend REST services and TypeScript/React front-end across the web/sim boundary, • Write design docs and run design reviews, • Review peers' designs and code; collaborate with Product and defence stakeholders, • Mentor teammates through pairing and code review, • Deploy and support the product on-site at customer exercises, hackathons, and industry events Requirements • 4+ years software engineering experience, • Experience in behavioural or agent-based simulation (game AI, VFX crowd sim, CGF, or similar), • Strong C++ for performance-sensitive, real-time systems, • Knowledge of spatial data structures, path planning, decision modelling, vehicle movement, • Ability to reason about distributed simulation design (IPC, bandwidth, domain partitioning), • Comfortable moving between languages and stack layers, • Proactive, communicative style — able to challenge and draw out contributions, • Product engineering mindset, • Comfortable with AI-assisted development workflows, • Eligible for UK SC-level security clearance, • Able to attend Shoreditch office at least once per week Nice to Have • LLM-enabled product feature experience (NL interfaces, content generation, agent behaviour), • Rust, particularly for distributed/systems-level work, • Geospatial concepts and map data processing for simulation, • Defence sector, military modelling/simulation, or wargaming familiarity, • Kubernetes for compute cluster orchestration, • Prior tech lead experience or interest in that pathway Benefits • Hybrid (1 day/week in Shoreditch), • Private health insurance, • Enhanced pension, • Enhanced parental leave, • 3 extra days off at Christmas (on top of 25 days), • L&D budget, • Regular socials, • Share options

AI Engineer Salary: £95,000 - £105,000 London (Hybrid) At Data Idols, we are working with a forward-thinking technology business that is building advanced AI-driven platforms to automate complex workflows and deliver intelligent insights at scale. This is a high-growth environment where engineering plays a critical role in shaping product capability. The business is now looking for a Senior Backend AI Engineer to take ownership of its AI and platform architecture as it continues to scale. The Opportunity This is a senior, high-impact role where you will own the design and delivery of both AI orchestration systems and the underlying platform infrastructure. You will be responsible for building the layer that connects AI models, workflows, and decision-making processes, while also ensuring the platform is secure, scalable, and compliant for enterprise use. Working closely with product, data, and engineering teams, you will play a key role in bringing AI-driven features into production and ensuring they operate reliably and efficiently. This role suits someone who enjoys building from scratch, taking ownership, and working across both AI systems and platform engineering in a fast-moving environment. Skills and experience Strong experience with Python Experience building production systems using LLMs or generative AI Knowledge of prompt engineering, RAG, or agent-based architectures Experience working with APIs, distributed systems, or event-driven architectures Understanding of authentication and security protocols Experience building secure, scalable platforms Knowledge of observability, monitoring, and system reliability Proven experience owning systems end-to-endIf you are looking for a new challenge and want to work on cutting-edge AI systems, please submit your CV for initial screening and further details. AI Engineer

Job Title: SC CLEARED Copilot SME - Studio Agents (AI Agent Builder) Location: Remote Contract Type: 3-6 Month Contract (with possible extension) Role Overview We are seeking a highly skilled Copilot Subject Matter Expert (SME) with a strong focus on designing, building, and optimizing Studio Agents. This role will lead the development of intelligent AI agents that enhance productivity, automate workflows, and deliver scalable business solutions using Microsoft Copilot technologies. Key Responsibilities Design, build, and deploy AI-powered Studio Agents using Microsoft Copilot and related platforms Act as the SME for Copilot capabilities, advising stakeholders on best practices and use cases Collaborate with business teams to identify automation opportunities and translate them into agent solutions Configure, test, and optimize conversational flows, prompts, and integrations Ensure governance, compliance, and security standards are applied to all Copilot solutions Provide training, documentation, and ongoing support to internal teams Stay current with emerging AI, Copilot, and agent-based technologiesRequired Skills & Experience Proven experience with Microsoft Copilot, Power Platform, or similar AI tools Strong understanding of AI agents, prompt engineering, and conversational design Experience integrating APIs, data sources, and enterprise systems Familiarity with Microsoft 365 ecosystem (Teams, SharePoint, Dynamics, etc.) Strong problem-solving skills and ability to translate business needs into technical solutions Excellent communication and stakeholder management skillsPreferred Qualifications Experience with Azure AI services or OpenAI technologies Background in automation, RPA, or workflow orchestration Knowledge of governance and security best practices for AI solutions Certifications in Microsoft AI, Power Platform, or Azure

Salary: £15,357 per annum, plus excellent benefits Hours: Monday to Wednesday 9am - 1:30pm, Thursday - Friday, 9am - 1:00pm Location: Homegrange House, Shingle Bank Drive, Milford-On-Sea, Hampshire, SO41 0WR About the role Churchill Estates Management are offering an exciting opportunity for someone who loves working with people, coupled with a background in administration and customer service to join our retirement development as a Lodge Manager. This varied and interesting role provides you with the chance to make a positive difference every day to the lives of our Home Owners. By being a 'friendly neighbour', you'll be organising activities, co-ordinating the development, managing contractors, completing health and safety checks and much more! Reporting to the Area Manager, you'll be managing both the maintenance of the property and providing a first-class service to Owners. You'll be the trusted, 'go-to' person on-site, liaising with a range of customers, contractors, suppliers and internal Churchill Colleagues. This role is pivotal to the success of the Lodge, the enjoyment of Owners and is hugely rewarding. About you Your passion for excellent customer service is vital. With the focus on providing a happy and fulfilling lifestyle for the Owners, you'll have an outgoing and friendly personality with a love of people. You'll know when to act with sensitivity and diplomacy but also have the efficiency and assertiveness to manage the safety and the security of the development, displaying good judgement and the ability to be calm under pressure. Despite the high levels of social contact with residents, you will be happy working alone and independently, using your own initiative. To support with the organisation of events and to effectively administer the maintenance of the site, you'll be an accomplished administrator and computer literate, with previous experience of using Microsoft Office applications, including Outlook. This position is ideally suited to people with experience of similar backgrounds such as retirement living, social housing, hospitality, uniformed services, charity and health & social care sectors. A successful Lodge Manager is someone who loves to work 'front of house' and is focused on providing a first-class customer service with excellent administration skills. How you'll be rewarded Annual holiday entitlement of 24 days (Pro rata) + Bank Holidays A day off on your Birthday Life Assurance Eye Care reimbursement Colleague Introduction reward scheme Professional development and qualifications Thorough induction and ongoing training Immensely rewarding work About us We are Churchill Estates Management, a progressive managing agent of privately owned leasehold Retirement Living accommodation. We manage over 200 developments nationally. That means we oversee more than 8000 apartments, providing property services and customer care to over 10,000 retired people. However, we are not stopping there, as we are rapidly growing and have ambitious plans for the future. Join us and be part of a professional, award winning, customer focused team. Our Company Values TORCH: Trust/Openness/Respect/Communication/Honesty We are looking for the very best people to join our business and adopt our values so if you want to be part of our success story apply today. We understand the importance of protecting your personal data when you submit a job application. For more information on how we process your personal data please read our Privacy Policy . TPBN1_UKTJ

Microsoft AI Copilot Consultant (Contract) - Azure AI Foundry / Copilot Studio Location: UK (Remote with occasional travel) Contract Length: Initial 2 months (likely extension) Start Date: 1st May (ASAP) Day Rate: £550-£650 per day (DOE) IR35 Status: TBC (Commercial engagement - likely Outside, subject to assessment) Overview We are supporting a customer who requires an experienced Microsoft AI Copilot Consultant to lead the rapid design and deployment of AI-powered solutions using Microsoft's latest Copilot and Azure AI stack. This is a fast-moving engagement with an immediate start, ideal for someone who can quickly get up to speed and deliver value in a short timeframe. Key Responsibilities Design and implement AI solutions using Microsoft Copilot Studio Build and deploy intelligent agents leveraging Azure AI Foundry Develop and configure Copilot agents for business use cases Integrate AI solutions into existing Microsoft ecosystem (M365, Dynamics, Azure) Work closely with stakeholders to gather requirements and translate into AI-driven solutions Deliver rapid prototyping and iterative improvements Ensure best practices around security, governance, and scalability Required Experience Hands-on experience with Microsoft Copilot / Copilot Studio Proven experience building AI agents using Azure AI / Azure OpenAI services Experience with prompt engineering, LLM orchestration, and agent workflows Solid understanding of Microsoft Azure ecosystem Experience integrating AI into enterprise environments Ability to work in fast-paced, delivery-focused projects Desirable Skills Experience with Power Platform (Power Automate, Power Apps) Knowledge of RAG (Retrieval-Augmented Generation) architectures Familiarity with enterprise data security and compliance in AI solutions Previous consulting or client-facing delivery experience Working Pattern Primarily remote (UK-based) Occasional travel may be required Must be available for some late afternoon meetings (typically 4:00pm - 5:30pm UK time) to collaborate with US stakeholders Interested? If this role sounds like you, then why are you still reading?! APPLY NOW

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

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

For this role, we are currently considering candidates who live within approximately.This ensures commutes are manageable and support your wellbeing and.We are looking for an experienced, compassionate Senior Care Assistant to join our team at MHA.This is a key leadership role within the home, suppo

As a Maintenance Assistant at a Barchester care home, you'll help to create the safe and attractive surroundings that enable us to give our residents the quality care and support they deserve.It's important that our homes give the right first impression and that every area is always well-maintained.

For this role, we are currently considering candidates who live within approximately.This ensures commutes are manageable and support your wellbeing and.We are looking for an experienced, compassionate Senior Care Assistant to join our team at MHA.This is a key leadership role within the home, suppo

As a Bank Care Assistant at a Barchester care home, you'll help residents enjoy each day by making sure they get the quality care and support they deserve.You'll assist with daily living, providing support and companionship and sharing great moments and memories too.It's a chance to bring your dedi

At Birchstone Care Homeswe are committed to providing a safe, secure, happy and comfortable home, promoting a high standard of care and an understanding of individual needs, to offer support and choice as required.We are looking for kind and caring individuals to join our happy and friendly team, th