7 jobs found

Senior Delivery Lead (Cognitive Automation Ecosystem) 6-Month contract - Inside IR35 - market rate Heathrow based - hybrid working - up to 3 days a week onsite About the Role The Cognitive Automation Ecosystem team turns agentic automation and AI from isolated initiatives into a safe, scalable, enterprise capability. It provides the platform, guardrails, and shared services that agentic delivery and run teams rely upon to scale safely and effectively across the business. This is a hands-on delivery role for someone who genuinely enjoys bringing order to complexity. You'll lead delivery across multiple technology programmes, where competing priorities, shared resources, and fast-moving timelines are the norm, not the exception. You'll work through influence rather than authority, earning trust quickly, pushing back when needed, and keeping the squad moving without creating bureaucratic drag. There is no dedicated product lead, so you'll work closely with the Technical Lead to shape priorities and turn requirements into clear, sequenced delivery outcomes. What You'll Own Team Leadership & Delivery Lead a small team of contract engineers, setting clear direction and keeping delivery on track Create a high-performing, psychologically safe, delivery-focused culture with clarity of ownership and high standards Communicate credibly with senior stakeholders and step in quickly when things wobble Governance, Planning & Reporting Own integrated plans, milestones, dependencies, delivery cadence, and estimation across concurrent workstreams, using delivery data to maintain realistic forecasts Run governance that protects the organisation without creating drag, keeping teams aligned to guardrails and standards Keep RAID, decisions, and reporting up-to-date; anticipate potential issues early Roadmap, Backlog & Documentation Own a clear, prioritised roadmap and delivery-ready backlog, balancing strategic value, capacity, and stakeholder demand Ensure delivery artefacts, decisions, and requirements are maintained at source, current, and audit-ready with minimal manual effort Push back on vague, low-value, or poorly defined work; if it is not clear, it is not ready Ensure teams generate accurate, timely delivery data as part of day-to-day working, with strong Jira discipline and minimal reliance on manual reporting Cross-Functional Coordination & Accountability Operate as the connective tissue across Product, Tech, Engineering, Architecture, and business stakeholders, keeping dependencies and sequencing visible Influence peers and senior stakeholders through credibility, judgement, and consistency rather than formal authority Hold teams to commitments with clarity and follow-through, driving a culture of accountability, delivery discipline, and early escalation Ecosystem Build & Reuse Help shape the agent ecosystem around reusable enterprise capabilities, shared services, and orchestration patterns Spot duplication early and work with technical leads so teams do not build the same thing twice What We're Looking For Experience 10+ years leading technology delivery in complex, high-accountability environments with multiple senior stakeholders Strong track record of delivering applied AI, automation, data, or API-led products from ambiguity to measurable business value Experience turning business priorities into clear roadmaps and sequenced delivery plans. Strong delivery leadership across concurrent initiatives with shared resources, tight dependencies, and competing deadlines Experience raising delivery standards in environments that needed more structure, pace, and accountability Understanding of modern cloud and enterprise technology environments, with enough technical fluency to challenge, prioritise, and make sound trade-offs Skills & Attributes Excellent at bringing structure to ambiguity and turning complexity into clear, executable plans Confident making tough calls, challenging constructively, and holding teams and stakeholders to commitments Strong judgement on priority, pace, and trade-offs; knows when to push, when to simplify, and when to escalate Influences through credibility, clarity, and consistency rather than relying on hierarchy Communicates effectively across engineering, product, and executive audiences Experience in complex operational environments where reliability, coordination, and governance matter Preferred Experience in platform-led or enterprise capability teams rather than single-product delivery Exposure to agent frameworks, orchestration patterns, or AI operating models in enterprise settings Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Senior Software Engineer, AI Location: London (Hybrid: 2 days in office, 3 days remote) Position Type: Permanent Are you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI? We are a leading global provider of financial information services, insights, data, and analytics. We are currently seeking a Senior Software Engineer, AI to join our team in London. In this role, you will drive high-impact AI initiatives, design production-ready generative AI platforms, and build scalable, enterprise-grade solutions that shape the future of global markets. What We Offer Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance. Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems. What You Need to Have Experience: 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering. Core Skills: Advanced Python programming with strong backend development capabilities. AI Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Senior AI Automation Engineer Please read the below high-level overview of this role first before getting in touch We are building AI engineering capability within our internal tax technology function. This is a hands-on Senior AI Automation Engineer role focused on designing, building and deploying production-grade AI agents, automated workflows and scalable integrations used directly by internal business teams. This role would suit someone who can combine strong Python engineering with practical AI/LLM application experience, Azure cloud capability and enterprise integration skills. If this sounds like a good match for you, contact Lorenz Pasch at Hays Recruitment ASAP My contact details for direct contact are available on my LinkedIn profile Unfortunately, there are no sponsorship options available for this position. The Role You will join a growing internal technology team focused on delivering AI-powered systems into a governed enterprise environment. This is not a research or proof-of-concept role; the focus is on building reliable, production-ready AI tools, automation workflows and reusable engineering components that are adopted by real users. You will work across applied AI, software engineering, automation and platform integration, helping to shape engineering standards while supporting the development of early-career engineers. Key Responsibilities Design and build AI agents and multistep workflows for internal tax and business use cases. Develop Python-based services, automation pipelines and production-grade applications. Integrate AI systems with internal platforms using APIs, authentication and event-driven architectures. Orchestrate workflows across Microsoft AI platforms, Copilot Studio, Azure AI services and internal systems. Build reusable components including connectors, agent tools and shared automation services. Implement CI/CD pipelines for reliable deployment, versioning and release management. Ensure AI solutions are scalable, observable, secure and maintainable in an enterprise environment. Lead technical design discussions, code reviews and engineering best practice. Support junior and early-career engineers through mentoring and technical guidance. Measure outcomes, gather user feedback and iterate solutions based on real-world usage. Skills and Experience Required Strong Python engineering skills, including APIs, testing, modular design and async processing. Experience building production-grade applications, services or automation platforms. Practical experience building AI, LLM, agentic or workflow-based applications. Understanding of AI agents, orchestration patterns, tool use and the limitations of large language models. Experience with Azure OpenAI, Azure AI Foundry, Copilot Studio or similar platforms would be highly beneficial. Strong experience with REST APIs, GraphQL, authentication and system integration. Experience building reusable services, connectors or internal platform components. Knowledge of CI/CD pipelines, Git workflows, automated testing, deployment and monitoring. Experience with Microsoft Azure, including AI services, Azure Functions, containers or Azure Container Apps. Containerisation experience with Docker, Kubernetes or similar technologies would be advantageous. Desirable Experience Experience in tax, finance, accounting, audit, legal, consulting or another regulated environment. Experience with prompt evaluation, prompt/version control or AI governance. Exposure to Microsoft Power Platform or Copilot Studio ecosystems. Experience working with internal platforms, shared services or enterprise automation. Understanding of auditability, security, permissions and human-in-the-loop workflows. Suitable Backgrounds This opportunity may suit someone currently working as a Senior AI Engineer, LLM Engineer, AI Automation Engineer, Applied AI Engineer, AI Platform Engineer, Senior Python Engineer, Python Automation Engineer, Azure AI Engineer, Workflow Automation Engineer, Integration Engineer or Platform Engineer. Benefits Hybrid and flexible working. 27 days' annual leave, with the option to purchase additional days. Health, lifestyle and wellbeing benefits. Financial wellbeing tools and support. Electric car scheme. Access to a virtual GP. Access to a large suite of on-demand learning and development courses. This is an excellent opportunity for an engineer who wants to move beyond AI prototypes and build real, production-grade AI agents, automation workflows and Python services that have a direct impact on business operations. If interested, call Lorenz Pasch at Hays Recruitment on (phone number removed) ASAP. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Agentic Platform Lead 6 months London Negotiable rate per day (Inside IR35) Scope of work : The consumption layer that determines how agents query and use the graph. RESPONSIBILITIES Defines tool-calling schemas, RAG pipelines, and context strategies. Builds hallucination guardrails and agent evaluation harnesses. Integrates the graph with enterprise agentic platforms. KEY SKILLS LLM integration RAG architecture Tool / function calling Cypher Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Our client is seeking an experienced Application Architect with experience in Oracle Cloud Applications to join a high-profile programme focused on delivering innovative Oracle Fusion and AI-driven solutions. This is an excellent opportunity for a specialist with strong Oracle Fusion expertise and hands-on experience in Generative AI, Agentic AI, and enterprise integration architecture. Job Title: Application Architect - Oracle Cloud Applications (Oracle Fusion AI & Integration) Location: Remote within the UK (occasional travel to Birmingham and London as required) Contract: Temporary - Inside IR35 Rate: 420 per day Eligibility: UK Citizens only with a minimum of 5 years' continuous UK residency Working within a complex enterprise environment, you will be responsible for designing, developing, and deploying AI-powered solutions that integrate seamlessly with Oracle Fusion Applications while ensuring security, scalability, and operational excellence. Responsibilities include but are not limited to: Design, develop, and deploy Generative AI and Agentic AI solutions using Oracle Fusion AI Agent Studio and related technologies. Architect and implement integrations between Oracle Fusion Applications and external enterprise platforms using Oracle Fusion REST APIs. Develop and optimise intelligent agents and AI-driven workflows to enhance business processes. Ensure all API integrations adhere to security best practices, including OAuth, JWT authentication and API Gateway policies. Collaborate with business and technical stakeholders to gather requirements and define solution architectures. Provide subject matter expertise on Oracle Fusion Applications, AI capabilities and integration strategies. Troubleshoot, fine-tune, and optimise AI models, integrations and workflows for performance and reliability. Support operational excellence through root cause analysis, trend analysis and continuous improvement initiatives. Mentor technical teams, contribute to knowledge sharing and develop supporting documentation and operational procedures. Participate in change validation, capacity planning and governance activities. What we are looking for: UK Citizen currently residing in the UK with a minimum of 5 years' continuous UK residency. Proven experience using Oracle Fusion AI Agent Studio to build and deploy intelligent agents and Agentic AI solutions. Strong experience with Oracle Fusion REST APIs, including integration design, deployment and consumption of GenAI services. Deep understanding of API security principles, including: OAuth JWT API Gateway security policies Strong knowledge of Oracle Fusion Applications, including: ERP HCM SCM Hands-on experience with Generative AI technologies, including: Large Language Models (LLMs) Prompt engineering Model fine-tuning AI solution deployment Demonstrable experience designing and delivering complex enterprise integrations. Strong stakeholder engagement and communication skills. Excellent analytical and problem-solving capabilities. Experience supporting Oracle Exadata environments (desirable). Oracle Database Administration experience (desirable). Knowledge of operational support and incident management processes (desirable). Experience producing root cause analysis and trend analysis reports (desirable). Oracle Database Administrator Certified Professional (desirable). ITIL Foundation Certification(desirable). This role offers the opportunity to work on cutting-edge Oracle Fusion and AI initiatives within a large-scale enterprise environment. You will play a key role in shaping the adoption of Generative AI and Agentic AI technologies while working alongside experienced architects, engineers and business stakeholders. Huntress Search Ltd acts as a Recruitment Agency in relation to all Permanent roles and as a Recruitment Business in relation to all Temporary roles. We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout. PLEASE NOTE: We can only consider applications from candidates who have the right to work in the UK.

AI Engineer Salary: Up to £85,000 + Bonus + Benefits Location: Hybrid - 3 days per week onsite in Central London Working Hours: Full time - Monday to Friday We are recruiting multiple AI Engineers to join a global organisation investing heavily in AI, automation and intelligent systems. Working within a highly skilled engineering team, the AI Engineer will design, build and deploy production grade AI solutions that solve real business challenges at scale. This AI Engineer role is a hands on engineering position suited to individuals who enjoy building end to end AI applications, working with large language models, agentic workflows and modern machine learning technologies. Responsibilities for the AI Engineer: Develop and deploy AI powered applications, services and APIs Build solutions using Generative AI, Agentic AI and machine learning techniques Design and optimise RAG pipelines, vector search solutions and AI workflows Integrate AI capabilities into existing platforms and business systems Collaborate with engineers, data specialists and business stakeholders to deliver high impact solutions Contribute to technical best practice and support continuous improvement across the AI function Essential Skills for the AI Engineer: Strong Python development experience Commercial experience with LLMs, prompt engineering and AI application development Experience with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI or similar Experience with RAG architectures, vector databases and semantic search Experience deploying AI solutions within cloud environments Understanding of MLOps, LLMOps and production AI systems Strong communication skills and the ability to work with technical and non technical stakeholders If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI Engineer, AI, Artificial Intelligence, Gen AI Developer

Agentic AI Specialist (Enterprise AI) Closing date: 23rd June 2026 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: £61,460 - £95,000 (depending on your suitability, qualifications, and level of experience) Working pattern: AWE operates a 9-day working fortnight click apply for full job details