59 jobs found

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

Applied AI Software Engineer - LangChain, LangGraph, RAG, Knowledge Graphs A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Software Engineer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms. This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end; from design and architecture, through development and deployment, to optimisation and continuous improvement. You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices. Location: Remote with twice a month travel to Leeds / Bradford Salary: £90,000 to £110,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer / ML Engineer / Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph / LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration. This is an excellent opportunity for a senior developer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability.

Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Technical Lead AI Inside IR35 3-days per week in Sheffield, 2-days remote We are seeking an experienced Technical Lead AI to join a leading financial services client, helping drive the evolution of modern software engineering through applied AI and intelligent automation. This role sits within a fraud protection environment, focused on building AI agents to detect financial crime events and improve software delivery efficiency across engineering teams. The successful candidate will combine strong full-stack engineering expertise with hands-on experience deploying and integrating large language models and agentic AI workflows into production environments. Key responsibilities: Designing and building AI agents for fraud detection and production engineering services Embedding AI capabilities across the software development lifecycle, from code creation through to delivery Improving engineering efficiency through AI-driven code validation, reviews, and automation Acting as a technical lead, mentoring and upskilling engineering teams while remaining hands-on Building scalable, production-grade software and AI-enabled platforms Requirements: Strong full-stack engineering background with Java, Spring Boot, and React Hands-on experience with LLMs and AI tooling such as Co-Pilot, Claude, OpenCode, or Mistral Experience building agentic AI workflows in enterprise environments Kubernetes and event-driven architecture experience, including Kafka and Google Pub/Sub Public cloud agnostic engineering experience Strong stakeholder engagement and technical leadership capability Additional information available on successful application.

Chief Technology Officer Location : Hybrid/Office based in London EC4R Salary : £170,000+ and 20% performance-related bonus + Excellent Benefits! Contract Type : Full Time, Permanent What We Can Offer You : 30 Days Annual Leave, 20% share package, Additional Holiday Purchase, Hybrid Working, Life Assurance, Vitality Private Healthcare, Subsidised Gym Memberships, Cycle to Work Scheme, Discount Vouchers and Access to Wellbeing Resources Why Do We Want You We are seeking a bold, visionary, and hands-on Chief Technology Officer to lead Wilmington Plc s technology strategy at a defining moment in our journey. Wilmington is undergoing a significant evolution, repositioning itself as a RegTech Business Services platform. Technology is no longer a support function, it is the engine that will drive our growth, differentiation, and long-term success. This role exists because we are serious about transformation. As CTO, you will play a central role in shaping how Wilmington looks, operates, and competes in the future. You will unite platforms, people, data, and products into a coherent, scalable, and future-ready technology ecosystem that enables innovation at pace. This is a rare opportunity to leave a lasting legacy: architecting a modern technology landscape, embedding AI at scale, and leading change across an acquisitive, ambitious business. Please note : To complete your application, you will be redirected to Wilmington Plc s career site. At Wilmington Plc, we celebrate individuality and are committed to fostering an inclusive workplace. As a Disability Confident employer, we shortlist all applicants who meet the essential role criteria and guarantee an interview for candidates with disabilities who meet these criteria. For reasonable adjustments or to apply under our interview guarantee scheme, please use the contact details provided once you have clicked apply ! Job Purpose, Tasks and Responsibilities Reporting directly to the CEO, the CTO is accountable for defining and delivering Wilmington s technology vision, ensuring it underpins our strategic ambitions and accelerates transformation across the group. You will operate as a trusted executive leader, shaping corporate strategy, guiding investment decisions, and ensuring technology enables innovation, scalability, and sustainable growth. This role blends strategic leadership with hands-on influence, setting direction while ensuring delivery excellence. You will be responsible for: Leading the delivery of a modern, composable architecture across proprietary platforms, cloud infrastructure (AWS, Azure, GCP), CI/CD pipelines, and core business systems such as Salesforce Ensuring technology scalability and integration capability to support ongoing acquisitions and rapid business growth Building, inspiring, and leading a high-performing, future-focused technology function spanning Engineering, Architecture, Data, and Systems Embedding a culture of technical excellence, learning, accountability, and continuous improvement Championing Agile and product-led delivery models that drive measurable business outcomes Defining and executing an ambitious AI strategy, unlocking value from LLMs and emerging technologies while ensuring governance, ethics, and IP protection Designing and overseeing an internal AI operations platform that integrates enterprise systems, automation workflows, and data assets Establishing robust AI governance frameworks aligned with regulatory expectations and industry best practice Driving AI-assisted development approaches to significantly enhance productivity, quality, and speed-to-market Managing strategic technology partnerships and vendors to maximise value, innovation, and performance Setting enterprise-wide technical standards to ensure consistency, resilience, and long-term sustainability Improving operational efficiency, availability, and performance across infrastructure and services Supporting strategic planning, financial oversight, and investment business cases at executive level Leading technology input into product and platform roadmaps aligned to business-unit priorities Acting as a visible, credible technology leader both internally and externally, representing Wilmington s vision and capability What s the Best Thing About This Role You will define and deliver the technology vision for a business in the midst of meaningful, purposeful transformation. With strong board-level sponsorship and a broad mandate for change, this role offers genuine freedom to innovate. You will shape how Wilmington competes in an increasingly AI-driven and regulated world building platforms, products, and capabilities that truly differentiate us and create long-term value. What s the Most Challenging Thing About This Role The challenge lies in balancing ambition with pragmatism. You will need to unlock innovation and transformation while maximising the value of existing platforms, teams, and investments. At the same time, you will be navigating rapid technological change (particularly in AI) while maintaining stability, governance, and trust across a complex and regulated environment. What We re Looking For To be successful in this role, you must have / be: Deep expertise in cloud architecture (AWS, Azure, or GCP), including large-scale, resilient system design and frameworks such as Well-Architected, with the ability to clearly communicate complex concepts to non-technical stakeholders Strong experience in Enterprise Architecture, solution design, and delivering complex technology transformations at scale Proven capability in modern engineering practices, including containerisation, CI/CD pipelines, Agile delivery, and code quality tooling Strong understanding of data platforms, visualisation, and product management principles, translating market and technology trends into compelling roadmaps Experience with CRM platforms (Salesforce and/or Dynamics 365), e-learning platforms, and data-led or information services environments Demonstrable success leading M&A technology integration, from due diligence through to post-acquisition execution Strong research orientation with a passion for identifying, assessing, and embedding emerging technologies Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine-tuning considerations, and risk mitigation) Experience leveraging AI-assisted development tools (e.g. GitHub Copilot, Claude Code) to materially improve engineering productivity and delivery outcomes We know it s not a skill, but the successful candidate must have permission to work in the role s location by the start of their employment. About Us Wilmington plc is a dynamic and expanding group of companies with a shared purpose turning knowledge into advantage. We provide trusted information, training, and insight to professional markets across Risk & Compliance, Finance, Legal, and Insight sectors. Our businesses empower organisations and professionals to perform better by providing high-quality, relevant, and reliable knowledge. We collaborate across the group, share success, and focus relentlessly on delivering value to our customers. Join us and do Work That Means Something At Wilmington plc, we help global customers do the right business in the right way providing the data, insights, and education they need to navigate an increasingly complex GRC landscape. When you join us, you won t just shape a company s technology future you ll make a meaningful impact for our customers. We offer flexible hybrid working, strong development opportunities, and an environment where leadership, innovation, and purpose go hand in hand. Whether you re seeking your next defining role or ready to lead change at scale, this is work with meaning. Join us and make a real difference. Click on APPLY today!

Principal Software Engineer We are looking for a highly experienced Principal Software Engineer with strong backend engineering expertise and a passion for scalable distributed systems. You will play a key role in shaping architecture, engineering standards, and technical direction across the platform. Join a fast-growing Banking SaaS provider building next generation core banking technology. We are looking for Principal Software Engineers with experience in Node.js / TypeScript / JavaScript, .NET / C#, or Java. You will work directly on customer problems, understand the business context and own solutions end-to-end. From concept and design through to development, release, monitoring and operational support. You will join a team building a modern, scalable core banking platform. This requires intellectual curiosity, discipline, and deep architectural thinking to build technology capable of evolving alongside regulatory and technological change. Location: Remote-first but UK-based for essential company events. Travel to London will be required on a quarterly basis for team meetings, with 2 companywide annual meetings offsite. Salary : £100,000 To £120,000 (Based on Experience) plus Benefits including 25 days holiday + bank holidays, Family Health Insurance, Life Insurance, Regular social events What You ll Work On The environment is primarily Node.js and Go but strong engineers from .NET/C# or Java backgrounds are encouraged to apply. Integrating with payment platforms, banking infrastructure, FX/crypto providers, and card processors Driving architectural decisions across distributed systems and cloud infrastructure Leading technical design reviews and influencing engineering best practices Mentoring engineers and helping scale a high-performing engineering culture Designing and optimising SQL and NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Deploying secure, high availability services across AWS, GCP, and Azure How Engineering Works We heavily utilise agentic coding and AI-assisted development workflows, including Claude Code, to accelerate engineering productivity Principal Engineers play a key role in technical strategy, architecture governance and engineering direction Engineers focus on solving complex technical and domain challenges rather than repetitive boilerplate development Collaborative engineering culture with involvement in architecture, design discussions, and domain modelling End-to-end ownership of features from development and testing through to deployment, monitoring, and production support Experience Required Degree educated Development experience in either Node.js with JavaScript & Typescript, .NET, C# or Java AWS experience preferred (Azure, GCP also welcomed) Strong understanding of relational databases, ideally MySQL Interest in agentic engineering workflows and AI-assisted development Experience designing APIs and distributed systems Proven experience designing and scaling complex distributed systems Strong architectural leadership experience Experience mentoring or leading senior engineers/teams Ability to influence technical direction across multiple workstreams Experience operating within high-scale or regulated environments Nice to have: Expertise in AWS Lambda, Fargate, SQS/SNS, DynamoDB and cloud native architectures Client-facing experience Ideally experience within Fintech, Banking or enterprise SaaS Why Join Opportunity to shape the architecture of a next-generation banking platform High level of technical autonomy and influence Ability to help define engineering practices in an AI-assisted development environment Enjoy the freedom of remote-first work with regular in-person meetings. High trust, low bureaucracy and a culture of respect & accountability. Competitive salary, benefits, and a company that celebrates your success. Perks 25 days holiday + bank holidays; Family Health Insurance, Life Cover, EMI Share Options (you will share in their success), Remote working environment (quarterly meetings in London). Zorba Consulting is operating as an employment agency for permanent recruitment and employment business for supplying temporary workers

Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution - translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, quality, and long-term maintainability. Apply model adaptation techniques - prompting, fine-tuning, distillation - to optimise for quality, latency, and cost efficiency. Drive strong experimentation and evaluation practices, measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, mentoring engineers and contributing meaningful code-level guidance across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph. Proven track record building Retrieval-Augmented Generation (RAG) systems; Graph-RAG exposure is a distinct advantage. Practical experience with model adaptation techniques including prompting, fine-tuning, instruction tuning, or knowledge distillation. Solid grounding in evaluation and experimentation methodology for generative AI, with a focus on correctness, faithfulness, and robustness. Demonstrable experience owning the technical design and delivery of complex AI, ML, or data-driven systems in live production environments. A background operating at senior engineer or technical lead level - comfortable balancing rapid experimentation with disciplined production delivery, and communicating with clarity across technical and non-technical stakeholders. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.

Software Engineer to oin a fast-growing Banking SaaS provider building next generation core banking technology. We are looking for Software Engineers with experience in Node.js / TypeScript / JavaScript, .NET / C#, or Java. You will work directly on customer problems, understand the business context and own solutions end-to-end. From concept and design through to development, release, monitoring and operational support. You will join a team building a modern core banking platform from scratch. This requires intellectual curiosity, discipline, and deep architectural thinking to build technology capable of evolving alongside regulatory and technological change. Location: Remote-first but UK-based for essential company events. Travel to London will be required on a quarterly basis for team meetings, with 2 companywide annual meetings offsite. Salary : £70,000 To £90,000 (Based on Experience) plus Benefits including 25 days holiday + bank holidays, Family Health Insurance, Life Insurance, Regular social events What You ll Work On The environment is primarily Node.js and Go but strong engineers from .NET/C# or Java backgrounds are encouraged to apply. Integrating with payment platforms, banking infrastructure, FX/crypto providers, and card processors Designing and optimising SQL and NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Contributing to Vue.js frontend components where needed Deploying secure, high availability services across AWS, GCP, and Azure How Engineering Works We heavily utilise agentic coding and AI-assisted development workflows, including Claude Code, to accelerate engineering productivity Engineers focus on solving complex technical and domain challenges rather than repetitive boilerplate development Collaborative engineering culture with involvement in architecture, design discussions, and domain modelling End-to-end ownership of features from development and testing through to deployment, monitoring, and production support Experience Required Degree educated Development experience in either Node.js with JavaScript & Typescript, .NET, C# or Java AWS experience preferred (Azure, GCP also welcomed) Strong understanding of relational databases, ideally MySQL Interest in agentic engineering workflows and AI-assisted development Experience designing APIs and distributed systems Understanding of observability, resilience, and secure coding practices Comfortable working in regulated or high-integrity environment Nice to have: Expertise in AWS Lambda, Fargate, SQS/SNS, DynamoDB and cloud native architectures Client-facing experience Ideally experience within Fintech, Banking or enterprise SaaS Why Join Work on high-impact systems processing billions in transactions each month while helping shape modern AI-assisted engineering practices Enjoy the freedom of remote-first work with regular in-person meetings. Culture: High trust, low bureaucracy and a culture of respect & accountability. Recognition & Rewards: Competitive salary, benefits, and a company that celebrates your success. Perks 25 days holiday + bank holidays; Family Health Insurance, Life Cover, EMI Share Options (you will share in their success), Remote working environment (quarterly meetings in London). Zorba Consulting is operating as an employment agency for permanent recruitment and employment business for supplying temporary workers

Senior AI Engineer (Contract) Rate: £700/day IR35 Status: Outside IR35 Duration: 6 months (with high likelihood of extension) Location: Hybrid/Remote options available (UK-based) Security Clearance: DV Cleared The Role We are looking for a Senior AI Engineer to design, build, and deploy production-ready GenAI applications and multi-agent systems within secure environments. This role requires a strong hybrid of advanced AI orchestration and robust cloud-native engineering, specifically focusing on scaling workloads via Kubernetes. Because of the nature of this work, you must hold active UK Developed Vetting (DV) security clearance to be considered. Key Responsibilities Agentic Workflows: Design, implement, and optimize multi-agent frameworks and stateful LLM applications. Kubernetes Orchestration: Containerize, deploy, and scale AI models, APIs, and microservices across production Kubernetes (K8s) clusters. Infrastructure & Scaling: Configure K8s workloads for high availability, managing resource limits, GPU provisioning, and autoscaling for heavy LLM inference workloads. Secure Engineering: Build robust, clean Python codebases that comply with strict data security and air-gapped environment protocols within containerized environments. MLOps & LLMOps: Establish monitoring, evaluation, and CI/CD pipelines specifically for tracking LLM latency, cost, and hallucination rates. What We're Looking For Core Kubernetes Expertise: Extensive experience managing, scaling, and debugging containerized workloads inside Kubernetes . Familiarity with Helm charts, K8s networking, storage volumes, and GPU orchestration is essential. GenAI Orchestration: Deep, hands-on experience using LangChain and LangGraph to build complex, stateful, and cyclic agent architectures. Core Tech Stack: Strong proficiency in Python, framework integrations (LlamaIndex, Hugging Face), and vector databases (eg, Pinecone, Qdrant, Milvus, Chroma). Software Fundamentals: Background in solid software engineering practices (Git, testing, design patterns, API development via FastAPI/Flask). Cloud Infrastructure: Experience deploying to secure cloud environments (AWS, Azure, or GCP) utilizing standard K8s distributions (EKS, AKS, GKE). Clearance Requirements Hold active DV clearance (SC minimum) and willing to go through DV if chosen.

Ruleguard have an exciting opportunity for a Solutions Engineer to join the team based in London on a hybrid basis . You will join us on a full-time, permanent contract and in return, you will receive a competitive salary of £100,000 - £120,000 per annum. The Solutions Engineer role: This is a pre-sales and solutions role sitting at the intersection of compliance expertise and technology. You will lead the technical and functional dimension of the sales process, running product demonstrations, shaping solution narratives, and ensuring that what we propose is grounded in industry realities and how the platform actually works. You will work closely with our sales team, providing the compliance depth and platform fluency that turns an interested prospect into a confident buyer. Responsibilities of our Solutions Engineer include: Demonstrations and Pre-Sales Engagement Lead product demonstrations across the full Ruleguard platform, tailoring the narrative to the prospect's regulatory profile, firm type, and priority compliance obligations Prepare thoroughly for each demo, researching the prospect's context and structuring the session around their specific pain points rather than a generic feature walkthrough Handle functional and technical questions during demonstrations with confidence, distinguishing clearly between current platform capability and the product roadmap Work with sales colleagues to plan and sequence the pre-sales process, advising on when and how to deploy demonstrations, proof-of-concept exercises, and follow-up sessions Coach and support sales colleagues through demonstrations where a subject matter lead is not present, providing briefing materials, talk tracks, and objection-handling guidance Configure AI agents using goals, intent, constraints, guardrails and context to demonstrate real efficiencies that this technology can bring to our clients Solution Design and Proposals Translate prospect requirements into clear, well-structured solution design and scoping documents for internal use and client presentation Map client workflows to platform capabilities, identifying where configuration can meet requirements directly, where bespoke approaches are needed, and where gaps exist Contribute to proposal and RFP responses, providing the functional and technical content that underpins the commercial offer Collaborate closely with Product and Engineering teams to surface recurring customer requirements, implementation patterns, and opportunities for product enhancement. Support proof-of-concept and implementation activities, helping clients configure workflows, troubleshoot issues, and optimise operational adoption. Translate complex compliance and operational requirements into scalable platform configurations, workflow logic, governance controls, and solution designs. Work with clients to operationalise Ruleguard within real-world enterprise environments, including integration into internal systems, workflows, data sources, and approval processes. Maintain a working knowledge of how Ruleguard is configured across different client types, using that pattern recognition to sharpen pre-sales conversations Platform Knowledge and Collateral Develop and maintain deep working knowledge of the Ruleguard platform across all solution modules, including regulatory change, policy management, conflicts of interest, personal account trading, gifts and entertainment, and related areas Stay current with regulatory developments relevant to Ruleguard's client base, ensuring that demonstrations and solution narratives reflect the compliance environment prospects are operating in Contribute to the development of demo environments, scenario libraries, and pre-sales collateral, improving the quality and consistency of how the platform is presented to market What we are looking for in our Solutions Engineer: Compliance and Domain Knowledge Prior experience working within or alongside a risk or compliance function in financial services, whether as a compliance analyst, associate, or officer, or in a consulting or advisory role serving compliance teams Solid working knowledge of core compliance disciplines including regulatory change management, conflicts of interest, policy and procedure governance, and employee monitoring Familiarity with the regulatory environment relevant to asset managers, wealth managers, broker-dealers, or similar regulated firms Genuine curiosity about how regulation is evolving and how technology can help compliance teams keep pace Pre-Sales and Client-Facing Skills Confident and credible in front of senior compliance and risk stakeholders, able to lead a conversation rather than present slides Able to read a room, adapt a demonstration in real time, and handle questions without losing the thread of the narrative Clear written communication; produces documentation that is precise, well-organised, and appropriate for a client audience Technical and Analytical Comfortable learning and administering SaaS platforms; picks up new systems quickly and applies that knowledge practically Proficient with data, dashboards, and reporting, and able to work with the outputs of a compliance platform and interpret them for a client audience Comfortable troubleshooting complex SaaS implementations across integrations, workflow configuration, user permissions, and data quality issues. Familiarity with workflow automation, AI-assisted operations, or agentic SaaS concepts, including approval flows, retrieval-driven workflows, permissions, and human-in-the-loop controls. Familiar with AI tools and their application in compliance operations and the broader GRC technology market Organised and methodical; able to manage multiple pre-sales engagements in parallel without losing track of detail or follow-up If you are looking for a new challenge, please click apply now to be considered as our Solutions Engineer - we d love to hear from you!

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 Java Developer with a focus on Agentic Coding IntaPeople are working exclusively with a fintech scaleup in Cardiff and require a Senior Java Engineer with experience of agentic cofing join a new team. This is a hybrid role with 3 days per week in the Cardiff office. About the role: This role is within a new, leaner team and will be leveraging AI to build new features from scratch. This role will be utilising Claude.ai for AI model development. We are open to mid-levels (who are close to the senior mark)and established senior Java Developers to join a high performing team. They have agentic workflows set so you will need to hit the road running with agentic coding A financial service background is preferred. This company offers a structured roadmap in terms of progression. Having worked with this company for the last 7 years, I have seen more internal progression than in any other employer. About you: Commercial experience of agentic coding is essential for this role. You know how to train AI agents to deliver complex code that works. You will have worked commercially with Java (versions 8+) building APIs and microservices with Spring Boot for 5 years minimum. Any cloud experience is a nice to have. They have an AWS cloud infrastructure but any interaction with AWS, GCP or Azure would be an advantage. You re a hungry dev who wants to keep developing their skills, learning new things and collaborating with the wider team. For a confidential chat about the role, send a copy of your CV to (url removed) and we will set up a call

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.

We are partnering with an established organisation currently investing significantly in its AI and generative search capabilities. They are looking to appoint a Senior AI Engineer to play a key role in designing and delivering production-grade AI systems focused on accuracy, scalability, and real-world impact. This position sits within a growing AI function and will focus heavily on Retrieval-Augmented Generation (RAG), agentic workflows, evaluation frameworks, and LLM optimisation. Key Responsibilities: Design and develop scalable RAG pipelines and generative AI workflows Build solutions using LangChain, LangGraph, and LlamaIndex Implement retrieval strategies including reranking, chunking, and retrieval fusion Develop agentic workflows with a focus on robustness and maintainability Contribute to experimentation, evaluation, and AI quality frameworks Support fine-tuning, instruction tuning, and model optimisation initiatives Mentor junior engineers and contribute to technical best practices Key Requirements: Strong Python engineering experience Commercial experience building production-grade AI/ML systems Hands-on experience with RAG architectures and LLM workflows Experience with LangChain, LangGraph, and/or Llama Index Understanding of evaluation methodologies for generative AI Experience working within scalable cloud environments (AWS preferred) Ability to operate in a senior or technical leadership capacity Desirable: Graph-RAG experience Databricks exposure Experience deploying customer-facing AI systems This is an excellent opportunity to join a forward-thinking organisation where AI is a genuine strategic priority and engineering quality is highly valued. 51752MS INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.

Location: Glasgow Head Office Full time, permanent role (37.5 hours per week) JOB PURPOSE: This role will be responsible for driving the design, architecture and delivery of AI-powered solutions across the group. It will be critical in implementing production-grade systems that leverage LLMs, with a focus on reliability and cost-aware deployment. As a Lead, this role will bridge cutting-edge research and production engineering - setting technical direction, mentoring a high-performing team, and ensuring AI solutions are robust, scalable, and responsible. PRINCIPAL TASKS AND RESPONSIBILITIES Design and implement secure and scalable LLM-powered applications using modern Generative AI architectures Collaborate with product, data and ops team to identify the issues in hand and explore how AI can open up new ways of solving them Use AI coding assistants such as Claude Code or equivalent as part of day-to-day development workflows to improve efficiency, quality, and delivery speed Optimize performance for latency, cost, accuracy, security and reliability Ensure all software that is created is in line with the technical roadmap, development guidelines and security standards. Troubleshoot, debug, and resolve technical issues across the product. Ensure code reviews and automated tests to support quality assurance Participate in all meeting arounds Refinement, Planning and Delivery. As a Lead: Lead the architecture and end-to-end development of AI solutions, from prototyping to production Collaborate with the Product team to identify candidate use cases for AI, helping them understand the art of the possible with today's AI capabilities and where it can deliver real business value. Work closely with IT Governance and Cyber Security teams to ensure AI solutions are secure by design and that data is handled responsibly, ethically, and in line with organisational policies. Define technical standards, best practices, and engineering roadmaps for AI initiatives Provide technical leadership and mentor developers Stay current with advancements in AI, evaluate emerging technologies, assess their applicability to the product, and help shape the organisation's AI journey Own quality, reliability, and performance of AI systems including monitoring, testing, and observability Conduct security and architectural reviews, and foster a culture of engineering excellence Communicate technical trade-offs and progress clearly to both technical and non-technical stakeholders Evaluate and select AI frameworks, LLM providers, vector databases, and cloud infrastructure Champion true AI Engineering across the team, leveraging AI tools to move faster without sacrificing code quality, security, or maintainability Basic Behaviours: Ensure that continuous improvement is baked into everything we do. Support the development of a strong culture focused on transparency, collaboration, and high performance Make time to support other members of the team and answer questions Take responsibility of your personal objectives and those of the team. Take ownership of deadlines and releases for yourself and the team. Any quality issues of the software the team owns should be looked on as a temporary and unacceptable state of affairs. Every opportunity should be taken to rectify problems, in conjunction with the completion of team and individual objectives. Professional / Academic / Qualifications 5+ years experience in a development role (essential) Degree level qualification (desirable) Specific Knowledge AI Hands on experience with Gen AI and LLM's Experience with RAG, Prompt engineering, Evaluation techniques AI infrastructure (vector stores, embeddings, model serving) AI agent frameworks and orchestration Understanding of embeddings, vector search Claude Code or equivalent Secure AI solution design Responsible AI principles Demonstrable AI engineering skills Agentic Tooling (desirable) Knowledge of Facilities Management domain (desirable) Background in domain-driven design, event-driven systems, or clean architecture (desirable) Software Engineering Typescript / Python / React / node js Microsoft .NET stack, SQL Server, NoSQL DB (eg Cosmos DB) REST API design and integration Design patterns and clean architecture GIT, Azure DevOps, CI/CD Pipelines, IaaC Demonstrated Behaviours Proactive, self-driven, and able to work independently or as part of a team Focused on outcomes rather than outputs Excellent verbal and written communication skills Pragmatic and flexible attitude Excellent interpersonal skills Attention to detail Mentoring/coaching skills

Staff Engineer / Principal Engineer / Lead Engineer - Full Stack Hybrid working : On-site one day per week (depending on your location) Summary: Lead Forensics is a leading UK based SAAS company with products in the B2B sales and marketing space. We're seeking a Staff level full stack Software Engineer / Software Developer to join our expanding teams that build our customer facing products. You'll be technically leading work; from requirements capture and initial design, through to full implementation, iterating quickly on our modern tech stack ( NodeJS microservices, Vue, Redis, SQL Server and SingleStore ) and deploying code daily to production (in AWS) following the DevSecOps methodology as we respond rapidly to customer requirements. Current and production grade TypeScript fluency (approx. 5+ years experience) is necessary for this particular position. Key Responsibilities : Working with stakeholders on initial solution design, scoping and system design. Spiking areas of uncertainty in designs and building POCs as required. Work with our Product Teams to help break down work into deliverable Epics and Stories. Turning user stories into code running in production as a high performing individual contributor lead developer and embedded architect in an Agentic AI environment. Ensuring the quality, maintainability and operability of code. Supporting the product that the team has built as it runs in production and resolving issues. Responsible for the design, architecture and implementation decisions for the product. What you will bring : Excellent interpersonal and collaboration skills, including competencies to work directly with customers. Experience developing with clean code, SOLID principals and design patterns. Experience across all areas of full stack development, ideally developing large scale SaaS platforms. Experience of working in a mature CI/CD environment, continuously deploying stories every day, following the DevSecOps methodology. A strong general aptitude for programming and problem solving. You'll need to pick up new tools and techniques quickly and use them to solve problems. Our ideal candidate will also be able to show: A forward-thinking approach to accelerating production quality software development using AI (professional or personal). Experience with automated testing and quality assurance. An understanding of how to build systems that perform well at scale. Enthusiasm for building secure systems and implementing security best practices. Enthusiasm for driving high standards in software development and working with like-minded people towards achieving ever higher levels of efficiency and performance. A technical/computer science degree or equivalent professional experience. What we offer in return : An entrepreneurial environment built on ownership, accountability, autonomy and trust Employment with a fast-growing UK SaaS company; with hybrid or remote working. Competitive salary and benefits. Be part of a fantastic company culture; we all display our Company DNA's, foster a "One Team" and 'Growth' mentality. Give back to the wider community with volunteer days, fundraisers and charity.

AI Solution Architect (AIPX & Balance Sheet Management) Role Overview As an AI Solution Architect , you will be the technical visionary leading cross-functional engineering teams to design and build data-intensive platforms and AI-powered solutions . You are responsible for the architectural integrity of the end-to-end data and AI lifecycle-specifically for Balance Sheet Management (BSM) -ensuring that models move seamlessly from ingestion and research into scalable, high-performance production environments. Key Responsibilities System Blueprinting: Create robust technical blueprints for data pipelines and high-quality derived data products that align with AIPX architecture and performance standards. Technical Leadership: Provide strategic direction across cloud engineering, data architecture, and AI/ML capabilities to ensure solutions are secure, well-governed, and scalable. Engineering Excellence: Establish and enforce best practices for the automated SDLC, including DevOps/MLOps pipelines , coding standards, and rigorous testing frameworks. Stakeholder Synthesis: Translate complex business requirements from product owners and stakeholders into actionable, high-level technical plans and architectural roadmaps. AI Innovation: Drive the evaluation of emerging technologies, lead proofs of concept (PoCs), and embed responsible AI principles across all financial solution designs. Required Knowledge & Experience AI/ML Mastery: Strong knowledge of AI techniques and tools, with demonstrated experience applying Gen AI/LLMs to specific financial or corporate use cases. Regulated Delivery: Proven track record of delivering production-grade solutions within highly regulated organizations (e.g., Tier 1 Banks or Government). Advanced Orchestration: Knowledge of Agentic Workflows and orchestration frameworks to drive automated decisioning and complex system behaviors. Data Intensive Expertise: Deep understanding of data modeling, cloud-native architectures, and big application development within a banking tech ecosystem. Security & Vetting: Must hold and maintain an active SC Clearance . Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Staff Engineer / Principal Engineer / Lead Engineer - Full Stack UK Remote, moving to Hybrid : On-site one day per week (cadence depending on your location). Other locations / options available. Summary: Lead Forensics is a leading UK based SAAS company with products in the B2B sales and marketing space. We're seeking a Staff level full stack Software Engineer / Software Developer to join our expanding teams that build our customer facing products. You'll be technically leading work; from requirements capture and initial design, through to full implementation, iterating quickly on our modern tech stack ( NodeJS microservices, Vue, Redis, SQL Server and SingleStore ) and deploying code daily to production (in AWS) following the DevSecOps methodology as we respond rapidly to customer requirements. Current and production grade TypeScript fluency (approx. 5+ years experience) is necessary for this particular position. Key Responsibilities : Working with stakeholders on initial solution design, scoping and system design. Spiking areas of uncertainty in designs and building POCs as required. Work with our Product Teams to help break down work into deliverable Epics and Stories. Turning user stories into code running in production as a high performing individual contributor lead developer and embedded architect in an Agentic AI environment. Ensuring the quality, maintainability and operability of code. Supporting the product that the team has built as it runs in production and resolving issues. Responsible for the design, architecture and implementation decisions for the product. What you will bring : Excellent interpersonal and collaboration skills, including competencies to work directly with customers. Experience developing with clean code, SOLID principals and design patterns. Experience across all areas of full stack development, ideally developing large scale SaaS platforms. Experience of working in a mature CI/CD environment, continuously deploying stories every day, following the DevSecOps methodology. A strong general aptitude for programming and problem solving. You'll need to pick up new tools and techniques quickly and use them to solve problems. Our ideal candidate will also be able to show: A forward-thinking approach to accelerating production quality software development using AI (professional or personal). Experience with automated testing and quality assurance. An understanding of how to build systems that perform well at scale. Enthusiasm for building secure systems and implementing security best practices. Enthusiasm for driving high standards in software development and working with like-minded people towards achieving ever higher levels of efficiency and performance. A technical/computer science degree or equivalent professional experience. What we offer in return : An entrepreneurial environment built on ownership, accountability, autonomy and trust Employment with a fast-growing UK SaaS company; initially remote working. Competitive salary and benefits. Be part of a fantastic company culture; we all display our Company DNA's, foster a "One Team" and 'Growth' mentality. Give back to the wider community with volunteer days, fundraisers and charity.

We are seeking a Lead AI Red Teaming & QA Engineer to design and execute automated adversarial testing for our enterprise Agentic AI platforms. You will move beyond traditional software QA to build continuous safety pipelines, ensuring our non-deterministic LLM agents, RAG systems, and tool integrations are secure, resilient, and compliant before production release. Key Responsibilities Automated Adversarial Testing: Build and integrate automated red teaming suites into CI/CD pipelines using frameworks like Garak , Pyrit , and AgentDojo to enforce strict safety release gates. AI Evaluation Frameworks: Develop metrics and continuous testing for core AI risks, including hallucinations, memorisation, algorithmic bias, uncertainty, and model drift . Regulatory Compliance Evidence: Map threat models (OWASP LLM Top 10, Agentic threats) to automated test cases. Produce the technical testing evidence required by EU AI Act Article 15 , DORA , and FCA Operational Resilience guidelines. Centralised AI-BOM Platform: Own the enterprise AI Bill of Materials (AI-BOM) , tracking model lineages, dataset versions, and signed artifacts as a centralized evaluation service. Required Technical Skills Regulated Finance: Proven experience testing software within FCA, DORA, or EU AI Act frameworks. AWS Bedrock Ecosystem: Hands-on experience configuring, testing, and bypassing Bedrock Guardrails, Agents, and Knowledge Bases (RAG) . AI Security & Fundamentals: Solid understanding of Foundation Models, tool use (function calling), OWASP LLM Top 10 , and NIST AI RMF . Automation Stack: Strong Python development skills, experience with AI eval tools (Garak, Pyrit, Ragas), and building complex CI/CD test pipelines. Randstad Technologies is acting as an Employment Business in relation to this vacancy.