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About The Role FDM is a global business and technology consultancy seeking a Microsoft AI CoPilot Developer to work for our client within the public sector. This is initially a 3-month contract with very good prospects to extend and will be a remote role. We are seeking a highly skilled Copilot Agent Developer to design, build, deploy, and optimize AI-powered agents using Microsoft Copilot Studio and the broader M365 Copilot ecosystem. This role blends technical expertise, product thinking, and business problem-solving to deliver intelligent automations and conversational experiences that improve efficiency and create delightful user outcomes. The ideal candidate is passionate about AI, has strong experience building automated workflows or conversational interfaces, and can translate business needs into scalable agent solutions. Responsibilities: • Build, configure, and maintain Copilot Agents using Copilot Studio, including topics, actions, plugins, and orchestrations., • Develop custom connectors and integrations across Microsoft 365, Power Platform, Dynamics, Azure, and third-party APIs., • Implement retrieval-augmented generation (RAG) patterns, including knowledge libraries, data sources, grounding, and prompts., • Optimize agent behavior through prompt engineering and iterative tuning., • Collaborate with business teams to identify automation opportunities and convert requirements into agent designs.About You, • Experience building copilot agents, • Hands-on experience with Microsoft Copilot Studio, Power Platform, or other conversational AI frameworks., • Strong understanding of LLMs, prompts, grounding, and RAG workflows., • Proficiency with Power Automate, APIs, JSON, Microsoft Graph, and workflow automation., • Experience working with Microsoft 365 services (SharePoint, Outlook, Teams, OneDrive)., • Ability to translate business requirements into technical solutions., • Familiarity with data governance, identity management, and enterprise security principles.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Data & AI Engineer - Hybrid role in Technology - Up to £51k The Role As a Data & AI Engineer, you'll design, build and maintain data pipelines, analytics platforms and AI-powered capabilities all linked to high-impact business use cases. You'll collaborate closely with analysts, engineers and stakeholders to turn requirements into reliable, production-ready solutions. Key responsibilities: • Designing and building scalable data pipelines, datasets, and data models, • Integrating data from multiple structured and unstructured sources, • Developing advanced analytics, machine learning and AI solutions where appropriate, • Building Generative AI solutions using large language models and prompt/context engineering, • Ensuring data quality, reliability, and performance through testing and monitoring, • Proven experience in a Data Engineer, Data Developer, AI Engineer, or similar role, • Strong programming skills in Python and SQL, • Experience building and maintaining data pipelines, • Exposure to cloud data platforms, data warehouses, or big data technologies, • Strong analytical and problem-solving skills, • Work on high-impact, enterprise-scale data and AI initiatives, • Gain exposure to a wide variety of industries and complex systems, • Be part of a cooperative, inclusive engineering culture, • Access structured career development, training and progression opportunities

AI Agentic Engineer (MedTech) We’re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where you’ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You’ll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you’ll be doing You’ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You’ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver. What we’re looking for We’re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: • Strong Python development experience, • Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar), • Understanding of prompt engineering, RAG pipelines, and tool-using AI systems, • Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP), • Background in healthcare, life sciences, or regulated environments, • Experience with AI safety, evaluation, or model monitoring Interested? Please Click Apply Now! AI Agentic Engineer (MedTech)

As a PHP Engineer you will be a key contributor within a cross-functional engineering squad, responsible for building secure, scalable, and high-quality software with an increasing emphasis on AI-driven capabilities and intelligent agent development. You will work closely with Senior Engineers, the Engineering Team Leader, and the Architect to implement modern engineering practices, integrate AI models and agent patterns, and contribute to the evolution of our cloud-native services. You will already have strong software development experience and have a desire to grow deeper into engineering, while maintaining strong software craftsmanship and delivery discipline. As we move toward an AI-first engineering strategy with multiple autonomous squads, the Software Engineer plays a vital role in delivering reliable, secure, and modern software while developing skills that contribute to our ecosystem. You will help implement AI capabilities, support cloud-native services, and strengthen the squad’s engineering excellence as we scale. Key Responsibilities Software Development & Delivery: • Design, build, test, and maintain high-quality software components and services across backend, frontend, or full-stack environments., • Utilise AI Accelerated development tools across the SSDLC to accelerate delivery and product quality., • Write clean, maintainable, secure code following engineering standards and SSDLC best practices., • Champion AI Enablement initiatives by embedding AI thinking into product design and delivery, enabling teams to leverage AI, and emerging technologies to enhance functionality, automation, and user experience., • Use vector databases, embeddings, and retrieval pipelines with support from senior engineers., • Contribute to building robust tests and evaluation checks for AI behaviours and outputs., • Create automated tests, including unit, integration, and functional tests., • Apply secure-by-design principles in all coding activities, participating in threat modelling where appropriate., • Contribute to code reviews and continuously improve code quality within the squad., • Deploy and maintain services using CI/CD pipelines., • Instrument code for observability, logging, and performance insights., • Participate in incident resolution and root-cause analysis for issues within the squad’s domain., • Work closely with Senior Engineers and the Engineering Team Leader to confirm technical designs and implementation details., • Collaborate with Product Owners to understand requirements and propose feasible approaches., • Communicate progress, blockers, and technical details clearly within the squad., • Participate in continuous improvement initiatives and share learnings with peers., • Experience as a software engineer within modern cloud-native environments., • Strong development skills in at least one of the following languages/frameworks: C# .NET, Nodejs, Reactjs, Python, React, • Understanding of AI First development and deployment processes., • Experience building REST APIs, microservices, or modern frontend applications., • Good grasp of secure coding, testing strategies, and CI/CD pipelines., • Work collaboratively in an Agile squad with a focus on quality, delivery, self-reflection and improvement., • Strong problem-solving skills and willingness to learn and adopt emerging AI and agent technologies., • Hands-on experience with vector databases, embeddings, or prompt engineering., • Understanding of AI fundamentals and experience using LLM APIs or AI-enhanced features and Agents., • Experience with cloud services such as AWS, Azure, or serverless platforms., • Interest in distributed systems, event-driven architectures, or DDD concepts., • Proven experience as a software engineer in a modern development environment, including agentic approaches., • Strong experience with PHP (5x, 7x, 8x), including Laravel., • Experience with frameworks such as React, Vue, or Node and C#, • Solid understanding of MySQL, including indexing and query optimisation., • Experience with API development and system integrations., • Proficiency with Git-based version control and package management tools (e.g. Composer, NPM)., • Experience working with Azure DevOps and CI/CD pipelines., • Excellent written and verbal communication skills., • Understanding of object-oriented programming principles., • Experience operating Linux-based web servers (LAMP / Nginx)., • Experience with SASS / LESS / SCSS., • Exposure to SQL and NoSQL database technologies., • Experience with mobile application development., • Awareness of UX / UI principles and responsive design.

AI Product Engineer (Full Stack / AI Systems) We are building a new generation of AI-powered products and are looking for a hands-on AI Product Engineer to help design, build, and scale intelligent systems in production. This is not a pure research or infrastructure role. We are looking for someone who can bridge product thinking, software engineering, and real-world AI system behaviour, turning ideas into reliable, production-ready features used at scale. You will work across the full stack, with a strong focus on building AI-driven user-facing features, debugging LLM behaviour in production, and shaping how AI is embedded into real products. Key responsibilities • Design and build AI-powered product features end-to-end (frontend, backend, and AI layer), • Work with LLMs in production environments, including prompt design, tuning, and debugging AI behaviour, • Investigate and resolve production issues such as hallucinations, incorrect outputs, and context injection failures, • Build scalable backend services and APIs using modern cloud infrastructure, • C#, .NET Experience, • Develop responsive frontend applications and translate product designs into working interfaces, • Work with event-driven and distributed systems where required, • Collaborate closely with product, engineering, and operations teams to deliver customer-facing AI features, • Contribute to system design decisions including scalability, observability, and reliability What we’re looking for, • Strong full-stack engineering experience (frontend + backend development), • Experience building or shipping AI/LLM-powered features in production, • Understanding of prompt engineering, LLM behaviour, and AI failure modes (e.g. drift, hallucination, context issues), • Experience working with cloud platforms (AWS or Azure), • Strong backend engineering skills (APIs, data flow, system design), • Comfortable debugging complex production issues across distributed systems, • Ability to work with frontend engineers and product teams collaboratively, • Strong curiosity and product mindset - asking the right questions, not just writing code Desirable experience, • RAG (Retrieval-Augmented Generation) systems or agent-based AI workflows, • Kubernetes or containerised deployment environments, • Event-driven architectures and scalable system design, • Experience translating UI/UX designs (e.g. Figma) into production frontend code, • Familiarity with Vue, React, or similar frameworks, • Exposure to enterprise-scale AI or data-heavy applications What sets this role apart, • You will be working directly on real AI systems in production, not prototypes, • You will be expected to debug AI behaviour, not just infrastructure issues, • You will own the full journey from idea product feature production AI system, • You will help shape how AI is embedded into core product experiences What we offer, • Competitive salary (based on experience), • Hybrid working model, • Opportunity to work on cutting-edge AI product development, • High autonomy and influence over technical direction, • Exposure to modern AI tooling and agent-based development workflow Interested? Please Click Apply Now! AI Product Engineer (Full Stack / AI Systems)

Technical Lead - TypeScript / Node.js As a Technical Lead, you’ll work directly with the founder to shape the technical vision and execution of a high-growth startup backed by a larger, established group. You’ll lead a talented engineering squad, drive architectural decisions, and deliver scalable backend systems that support thousands of users-all while influencing the strategic direction of the product. This is a hands-on leadership role where you’ll combine deep technical expertise with mentorship, strategic thinking, and cross-functional collaboration in a fast-moving startup environment. The Role Technical Strategy & Leadership • Work alongside the founder to define and evolve the technical roadmap, • Lead architectural design and critical technology decisions, • Champion engineering best practices, code quality, and technical excellence, • Mentor, coach, and grow engineers at all levels, • Foster a culture of ownership, collaboration, and innovation Backend Architecture & Development, • Architect, build, and scale backend services and RESTful APIs, • Design, optimise, and maintain MongoDB database solutions, • Improve system reliability, performance, and scalability, • Resolve complex production issues with robust solutions, • Implement microservices and modern backend patterns Collaboration & Delivery, • Partner with Product, Design, and the founder to deliver high-impact outcomes, • Participate in hiring and technical interviews to grow the engineering team, • Drive improvements in processes, CI/CD pipelines, and DevOps practices, • MongoDB (data modelling, indexing, aggregation pipelines, performance tuning), • Node.js and the wider JavaScript/TypeScript ecosystem, • RESTful API design and distributed systems, • AWS or similar cloud platforms, • Microservices architecture, • CI/CD pipelines and DevOps best practices, • GitHub workflows, • Observability and monitoring tools (e.g., Datadog), • Node.js, JavaScript/TypeScript, • Express.js, Fastify, • MongoDB, • AWS, • Integrating AI/ML models into production systems, • Working with LLM APIs (OpenAI, Anthropic, etc.), • Prompt engineering, • AI workflow tools (LangChain, Flowise), • Building internal AI-powered automation tools Why This Role is Exciting, • Work directly with the founder on a startup backed by a larger, established group, • Influence the technical and product direction from the ground up, • Hybrid Working, • Flexible working hours, • 25 days annual leave + 8 bank holidays + 2 Christmas shutdown days, • Option to purchase an additional week of leave Interested? Please Click Apply Now! Technical Lead - TypeScript / Node.js

Data & AI Engineer - Up to £50,000 Location: Newcastle or Manchester - HybridSecurity Clearance: UK SC eligibility required The Opportunity We are supporting a leading organisation within the Technology and Data space that deliver large-scale, technology-enabled transformations. This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and innovation. This role is ideal for a Data Engineer or AI Engineer who enjoys working across the full data lifecycle and wants to build practical, scalable solutions using modern data and AI technologies. The Role As a Data & AI Engineer, you will design, build and maintain data pipelines, analytical platforms and AI-enabled capabilities that support business-critical use cases. You will work closely with analysts, engineers, and stakeholders to translate requirements into robust, production-ready solutions. Key responsibilities: • Designing and building scalable data pipelines, datasets, and data models, • Integrating data from multiple structured and unstructured sources, • Developing advanced analytics, machine learning and AI solutions where appropriate, • Building Generative AI solutions using large language models and prompt/context engineering, • Ensuring data quality, reliability, and performance through testing and monitoring, • Optimising data and model performance for scale and efficiency Required Experience & Skills • Proven experience in a Data Engineer, Data Developer, AI Engineer or similar role, • Strong programming skills in Python and SQL, • Experience building and maintaining data pipelines, • Exposure to cloud data platforms, data warehouses, or big data technologies, • Strong analytical and problem-solving skills, • Ability to communicate technical concepts to non-technical stakeholders Security & Compliance: • Appointment to this role is subject to eligibility for and successful attainment of UK Security Check (SC) clearance Working Model: • Hybrid working with a Manchester or Newcastle base Why Apply? • Work on high-impact, enterprise-scale data and AI initiatives, • Gain exposure to a wide variety of industries and complex systems, • Be part of a collaborative, inclusive engineering culture, • Access structured career development, training and progression opportunities

Company Description Sputnik is a digital transformation agency. We design and build innovative websites, digital products and applications for enterprise clients. At the foundation of every project we deliver are a delightful and intuitive user experience, combined with secure, scalable and optimised engineering. Our projects range from best-in-class websites to bespoke inventory management systems and customer portals. Our team have helped deliver robust web applications for great brands including GoCompare, Swinton Insurance, Fluent Money and Axelos. We're looking for a developer who can get involved in projects right the way through the DevOps process, including business analysis, architecture, development and deployment. Role Description Sputnik Digital is seeking a skilled .NET Developer for a full-time hybrid role based in Manchester, with the flexibility for some work-from-home arrangements. The role involves designing, developing, and maintaining high-quality software solutions using .NET technologies to meet client needs. Day-to-day tasks include coding, debugging, and testing applications, collaborating with cross-functional teams, and ensuring the performance, reliability, and scalability of applications. Joining us as a .NET developer, you will bring solid experience in C#, .NET Core and TypeScript, along with the ability to architect, develop and deploy new projects as well as maintain existing systems across both Azure and AWS environments. We expect you to bring a strong engineering foundation, but we also expect you to leverage modern AI tooling to work broadly and effectively across the full stack. The boundaries of what a single developer can contribute have shifted, and we look for people who embrace that. You'll bring with you a great understanding of object oriented programming, test-driven development, cloud architecture and databases. While this certainly isn't a front-end role, an appreciation of front-end frameworks and technologies is a real advantage. We appreciate that's a big ask — but if you combine strong coding experience, practical problem solving skills and an enthusiasm for the latest in cloud and AI-powered development, you're probably the person we want to speak to. Qualifications • A deep understanding of C# / .NET Core for web and mobile applications, • Strong TypeScript skills, including server-side and AWS serverless contexts (Lambda, API Gateway, SQS, DynamoDB etc.), • Secure, scalable, enterprise-level architecture using Azure Service Bus, microservices and Entity Framework, • Infrastructure as Code using Terraform — provisioning and managing cloud environments across Azure and AWS, • Experience of Test Driven Development (TDD) for Microsoft and Node-based solutions, • Good understanding of relational databases such as SQL Server, MySQL as well as NoSQL alternatives, • Familiarity with agile software development, DevOps, CI/CD pipelines and Git-based workflows, • Practical experience using AI coding tools (e.g. GitHub Copilot, Cursor, Claude) as a core part of your daily development workflow — not just autocomplete, but agent-led development, spec-driven development and prompt engineering for code generation, • Ability to read, review and reason about AI-generated code — knowing when to trust it, when to challenge it, and how to improve it, • An appreciation for front-end development (React, Vue, Vanilla JS / TypeScript), • Understanding and experience of integrating CMS systems, • Experience maintaining documentation, performing code reviews and contributing to architecture design, • Great people skills and a professional attitude — organised, respectful and driven, • A passion for continuous learning and sharing your expertise with the wider team

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Founding Engineer Manchester (Hybrid) AI Product / Mobile / SaaS The Opportunity We’re working with an early-stage, mission-led software business looking to hire a Founding Engineer to play a key role in the next evolution of their product. The business already has a live platform and strong market relevance — the next phase is about rebuilding and improving the product for the AI era, with a particular focus on user experience, intelligent workflows, and mobile-first product thinking. This is a rare opportunity to join at a genuinely influential stage, working directly with the founders to help shape what gets built, how it gets built, and where the product goes next. If you’re the kind of engineer who enjoys owning product problems, building in ambiguity, and turning ideas into shipped features, this is a very interesting role. What You’ll Be Doing • Taking a hands-on role in the evolution of the core product and mobile experience, • Building and shipping features using modern AI tooling, including LLMs, prompt engineering, and agent-based workflows, • Improving and shaping the user experience through better product thinking, architecture, and delivery, • Working closely with the founders to turn product ideas into scalable, high-quality software, • Identifying where AI can genuinely improve customer outcomes — not just where it looks good on a roadmap, • Making practical decisions around architecture, integrations, tooling, and technical direction, • Helping establish the foundations for the future engineering roadmap and team What We’re Looking For • Strong hands-on software engineering background, • Experience building and shipping real product in startup, scale-up, or high-ownership environments, • Experience working on customer-facing applications, ideally with some exposure to mobile / app-led products, • Practical experience using AI in production, including areas like:, • LLMs, • prompt engineering, • AI-assisted workflows, • agent-based functionality, • Comfortable working across product, engineering, and technical problem-solving, • A strong builder mindset — someone who enjoys getting things live, improving products, and solving meaningful user problems, • Comfortable in a fast-moving, founder-led environment Nice to Have • Experience with consumer products, engagement-led products, or behaviour-driven applications, • Exposure to open banking, fintech, or data-led products, • Experience working as an early technical hire or in a Founding Engineer / first product engineer type role, • Interest in helping shape technical direction as the business grows Why Join • Founding-level opportunity with genuine ownership, • Direct access to founders and product direction, • Opportunity to help shape an AI-native product in a meaningful way, • High-impact role where you can influence both what gets built and how it gets built, • Hybrid working in Manchester, • Equity opportunity as part of the package

Subcontract / Self‑Employed Electrician (Part‑Time, Ongoing Projects) Location: Market Harborough + up to 1‑hour travel radius Engagement: Subcontract / Self‑Employed Flexible commitment: 1–2 days per week (project‑based) Some evening and weekend work required depending on customer operations The Opportunity An established and growing Mechanical & Electrical Engineering business is expanding its subcontractor network due to a strong pipeline of ongoing work across domestic and commercial projects, including EV charging, solar PV, and battery storage. We’re looking to build a long‑term relationship with a reliable, professional electrician who takes pride in their workmanship and represents clients to a high standard. This role is ideal for a self‑employed or subcontract electrician seeking consistent, well‑paid work without the burden of client acquisition. Scope of Work You’ll support a range of projects including: • Domestic & commercial electrical installation, maintenance, and repairs, • Inspection, testing, and certification (BS7671 compliant), • EV charger installations and maintenance, • Solar PV and battery storage installations (advantageous), • Fault‑finding and troubleshooting, • Ensuring safe, compliant, and high‑quality work at all times Requirements Essential: • Level 3 Diploma in Electrical Installation, • 2391‑52 (or equivalent) – Inspection & Testing, • Strong working knowledge of BS7671, • Proven experience across domestic and commercial work, • Ability to work independently on site, • Full UK driving license, • 3+ years’ experience within electrical / electrical manufacturing / electronics environments, • Comfortable working in an onsite setting Desirable: • EV charger installation experience, • Solar PV / battery storage exposure, • AM2 qualification, • NICEIC or NAPIT registration What’s On Offer: • Reliable, repeat work as projects grow, • Flexible scheduling around your existing commitments, • Prompt, straightforward payment, • Clear communication and organized projects, • Professional, long‑term subcontract relationship

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Location Manchester, UK (Hybrid - 3 days per week in office) About ServisBOT ServisBOT is building the next generation of AI-driven enterprise automation for regulated industries — a secure, compliant SaaS platform where AI and humans work together to deliver outcomes our clients can trust. We partner with global customers across banking, insurance, and other highly controlled environments, delivering AI-enabled solutions that meet demanding security, compliance, and reliability requirements, without slowing innovation. AI is embedded into how we build and deliver: accelerating insight, streamlining delivery, and helping teams move faster from idea to impact. And because trust matters, humans stay in control and accountable — with the governance, auditability, and operational rigor enterprises expect. Role Purpose As a Business Analyst, you’ll play a dynamic, hands-on role supporting both our product team and customer deliveries. You’ll help shape ideas into clear, actionable work — defining problems, capturing high-quality requirements, and keeping momentum across the full lifecycle of our conversational AI solutions. Day to day, you’ll flex across project coordination, product support, testing, and implementation — from discovery and design through release, hypercare, and ongoing change — using AI tools safely and responsibly to accelerate insight and delivery while keeping outcomes governed and customer-ready. You’ll become a go-to expert in ServisBOT’s platforms and delivery tools, supporting effective implementation in client environments and ensuring we deliver measurable value. You’ll also build confidence in key AI concepts like prompt engineering, LLMs, and RAG, helping translate customer needs into practical, trustworthy AI-enabled solutions. Key ResponsibilitiesProblem Definition & Discovery (Supported Ownership) • Support discovery activities for product initiatives and customer engagements, • Help analyse customer needs, business processes, and constraints, • Use AI tools to:, • Summarise discovery inputs, • Explore problem spaces, • Draft initial problem statements, • Validate AI-assisted outputs with senior BAs, Product Managers, and Customer Champions Requirements & Acceptance Criteria • Produce clear, structured requirements and acceptance criteria under guidance, • Use AI to:, • Generate first-pass requirements, • Identify gaps, edge cases, and assumptions, • Ensure final requirements are:, • Understandable, • Testable, • Reviewed and approved by accountable stakeholders AI-Assisted Analysis & Prompt Contribution • Contribute to the creation and refinement of analysis and discovery prompts, • Follow established prompt standards to ensure:, • Reusability, • Auditability, • Safe handling of customer and internal data Product & Customer Collaboration • Work closely with:, • Product Managers (product initiatives), • Customer Champions (customer engagements), • Engineers and QA during delivery and change, • Support impact analysis for customer change requests, • Help ensure customer-specific work does not unintentionally degrade product integrity Governance, Risk & Compliance Awareness • Operate in line with ISO27001, ISO42001 and SOC II controls, • Ensure AI usage complies with:, • Data classification policies, • Customer data handling rules, • Maintain basic traceability of requirements and decisions where required, • Escalate risks, ambiguity, or uncertainty early Skills & ExperienceRequired • Minimum 2 years experience in a Business Analyst, Junior BA, or similar role, • Experience working with:, • Requirements gathering, • User stories / acceptance criteria, • Stakeholder collaboration, • Strong written communication and attention to detail, • Comfort using AI tools (e.g. LLMs) to support analysis, with an understanding that:, • AI accelerates work, • Humans remain accountable, • Curiosity about AI-assisted delivery, prompt design, or responsible AI use Desirable • Experience working with enterprise or regulated customers (banking, insurance, etc.), • Familiarity with Agile or iterative delivery models At ServisBOT: • AI-assisted work is the default, not optional, • AI outputs are treated as drafts — humans own outcomes, • Security, compliance, and auditability matter as much as speed, • BA roles are supported, coached, and expected to grow You’ll be encouraged to learn quickly, ask good questions, and build strong fundamentals in analysis, communication, and judgement.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You'll own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery, to mentoring engineers and shaping how we build across the organisation. This role demands genuine depth in AI. You'll be leading LLM powered feature development and setting the standard for how AI tooling amplifies the whole engineering process, combined with the full-stack and cloud-native chops to back it up. What you'll be doing • Setting technical direction for your squad. Owning architectural decisions, managing technical risk, and representing the engineering perspective at our Architecture Review Board, • Driving adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment and setting the bar for how the squad works, • Delivering production grade code across the full stack: Node.js or Python backends, event-driven AWS architecture, and React where the squad needs it, • Mentoring and growing engineers across AI and full-stack domains, through code reviews, design documents, and day-to-day pairing, • Collaborating with platform teams to consume shared capabilities and contribute reusable patterns back, not building one-off solutions when a platform component will do, • Ensuring everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services What we're looking for • A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production, • Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what it ships, • Strong hands-on AI/LLM skills: prompt engineering, RAG, model evaluation and agent frameworks. You know how these work in production, not just in demos, • Deep expertise in Node.js, with solid experience in the other; comfortable switching contexts depending on what the problem needs, • Cloud-native development on AWS. Serverless, event-driven, Lambda, with an instinct for well designed, maintainable systems, • A genuine curiosity about where AI is going and the judgment to separate signal from noise when recommending what to adopt, • An instinct for building responsibly. You care about auditability, compliance, and the downstream impact of what you ship Why Aveni • You'll work at the frontier of applied AI in a domain where it actually matters, helping financial services firms serve their clients better and meet growing regulatory obligations, • AI-native engineering culture: we use AI tools seriously, across the full development process, and we're always looking to push further, • High impact from day one. As a Staff Engineer, your technical decisions will shape the product, the platform, and the engineers around you, • A talented, collaborative team building something genuinely novel, with the backing, the architecture, and the proprietary models to do it properly Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more. We have raised over $4M from leading tech investors in addition to being awarded Innovate UK Grants. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. 🔧 What You'll Do We’re hiring a mid-senior (4+ years experience) AI Engineer to help design, build, and scale our production AI systems with ownership from design to deployment. You’ll work end-to-end across Agentic RAG conversational agents, Agent orchestration, fine-tuning models, retrieval pipelines, evaluation frameworks and generating product recommendation for real customer interactions to deliver reliable AI-powered experiences in production. • Design, build, and deploy Agentic AI workflows and RAG-powered applications for real-world use cases, • Develop scalable backend services and APIs powering AI agents and conversational systems, • Build and optimise retrieval pipelines including embeddings, chunking, reranking, memory and vector search, • Collaborate closely with product, design, and engineering teams to shape AI-first experiences, • Integrate LLM systems into user-facing web applications and product features, • Improve response quality, reliability, latency, observability and cost efficiency of production AI systems, • Evaluate new AI frameworks, tools, and orchestration approaches across the rapidly evolving LLM ecosystem, • Influence architecture decisions for scalable, secure, and production-ready AI infrastructure ✅ What We're Looking For Must-Haves: • Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or equivalent practical experience, • 4+ years experience building and deploying production AI applications, • 2+ years experience developing LLM-powered products, conversational AI, RAG systems, or agentic workflows, • Strong Python skills and experience building backend systems and APIs, • Hands on experience building agentic workflows, tool-calling pipelines, and stateful orchestration using frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or similar agent orchestration frameworks, • Strong experience designing and optimising retrieval systems, including vector stores (Pinecone, Weaviate, Chroma), graph-based RAG architectures, hybrid retrieval, reranking, and semantic search pipelines, • Experience with production optimisation for RAG systems, including latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning, • Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing or related field, • Experience with LLM fine-tuning techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), instruction tuning, and parameter-efficient model adaptation workflows, • Experience with evaluation and monitoring frameworks for LLM systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks, • Familiarity with graph databases such as Neo4j or Amazon Neptune, • Experience with recommendation systems, personalisation pipelines or ranking systems, • Experience building modern web applications using Django, FastAPI, React, or similar frameworks, • Comfortable using Docker and containerised development workflows, • Exposure to CI/CD pipelines, infrastructure-as-code, and cloud-native deployment practices 🌱 What We Offer • Competitive compensation (based on experience), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

Customer Success Engineer Company: Abacus.AI Location: Remote / (US EST Timezone) Type: Full-time About Abacus.AI: Abacus.AI is an enterprise AI platform that transforms how businesses build and deploy AI systems. Our platform automates AI development through advanced generative AI technology, eliminating the need for extensive technical expertise. Our core offerings include ChatLLM Teams with access to leading AI models, DeepAgent for autonomous task execution, and customizable AI agents for chatbots, workflows, and enterprise automation. We also contribute to the AI community through LiveBench.ai benchmarking and open-source projects like Dracarys and Smaug. We make sophisticated AI and machine learning capabilities accessible to organizations regardless of size or technical resources. Role Overview: We’re looking for a Senior Customer Success Engineer (5+ years experience) to serve as the primary technical advocate and strategic partner for our enterprise customers. In this role, you will be responsible for the long-term health of the account, ensuring that our AI solutions are successfully integrated into the customer’s daily workflows and continue to deliver high-level business value. Key Responsibilities: • Lead Executive & Technical QBRs: Drive Quarterly Business Reviews to showcase ROI, review usage metrics, and align our product roadmap with the customer’s evolving business goals., • Drive Super Assistant Rollout: Act as the strategic lead for deploying our Super Assistant across customer teams, providing hands-on guidance on best practices, user enablement, and change management to ensure broad adoption., • Proactive Health & Issue Monitoring: Continuously monitor account health to identify ongoing technical friction or blockers; collaborate with our internal Data Science and Support teams to resolve issues before they impact the customer experience., • Technical Bridge & Orchestration: Serve as the high-level technical point of contact who translates customer needs into actionable tasks for our DS team, ensuring that the actual technical execution remains aligned with the customer's strategic vision., • Expansion Discovery: Partner with the Sales team to identify new use cases for our AI capabilities, helping customers expand their footprint and see deeper value from the Abacus platform. Required Qualifications: • Strategic Technical Communication: Exceptional ability to bridge the gap between technical and non-technical stakeholders; you can explain LLM performance or RAG architecture to an executive just as easily as you can discuss API integration with a developer., • Generative AI & LLM Literacy: Solid understanding of the GenAI landscape, including Hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation) architectures, and the nuances of deploying LLMs in a corporate environment., • Functional Machine Learning Knowledge: A strong conceptual grasp of the ML lifecycle from data prep, model training, and evaluation metrics allowing you to collaborate effectively with internal Data Science teams and guide customers through technical deployment., • Program & Rollout Management: Proven track record of managing technical software rollouts (like an AI "Super Assistant") within large organizations, focusing on user adoption, monitoring ongoing health, and steering account progress through QBRs. What We Offer: • Competitive salary and equity package, • Opportunity to work with cutting-edge AI technology, • Collaborative and innovative work environment, • Professional development and learning opportunities

Accelerant is seeking a Product Area Lead Architect to provide hands on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at a Principal level, influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. It is highly collaborative, pragmatic, and operational, focused on identifying architectural gaps, managing dependencies, and enabling teams to execute confidently within a shared architectural framework. You will champion standards based architecture, leveraging web standards, open protocols, and industry conventions to build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership • Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers, • Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence, • Manage cross team technical dependencies to enable independent, parallel execution, • Translate architectural strategy into clear, actionable guidance that teams can apply sprint by sprint Cross Team Coordination & Alignment • Facilitate architectural discussions and resolve technical conflicts across teams through principled, pragmatic decision making, • Act as an escalation point for complex cross team technical challenges, • Ensure architectural decisions are clearly communicated, understood, and consistently applied Design and Innovation • Define and maintain architectural patterns across backend services, APIs, data platforms, and front end systems, • Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features, • Guide decomposition of legacy systems into well defined services and domains, • Evaluate technologies and data stores, favoring open standards and long term maintainability, • Architect distributed systems with focus on reliability, fault tolerance, and scalability Standards & Governance • Establish API design standards ensuring consistency, discoverability, and ease of integration, • Define front end standards prioritizing web platform capabilities, progressive enhancement, and accessibility (WCAG), • Create governance frameworks that balance standardization with team autonomy, • Drive adoption of industry standards (OAuth2, OpenID Connect, OpenTelemetry, JSON:API) over proprietary alternatives Technical Leadership • Partner with engineering teams on design reviews, PR reviews, and implementation guidance, • Establish standards for cross cutting concerns: API versioning, auth, observability, error handling, and resiliency patterns, • Collaborate with platform and DevOps teams on containerization, CI/CD, and cloud native deployment, • Produce clear technical design documentation that drives alignment and knowledge sharing, • Mentor engineers and raise the overall architectural maturity of the organization GenAI, ML & AI Architecture • Architect customer facing GenAI features using LLMs, including RAG pipelines, prompt engineering frameworks, and conversational AI interfaces, • Define patterns for ML model integration: serving endpoints, API contracts, versioning, and health monitoring, • Partner with Data Science to translate models into production grade features with clear integration contracts and deployment workflows, • Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation AI Transformation & Productivity Leadership • Scale AI driven development workflows across teams, ensuring engineers leverage AI coding tools effectively, • Guide team architects and coach senior engineers on using AI tools to enhance productivity and code quality, • Work hands on with teams to identify opportunities for AI to solve operational challenges and improve velocity Solution Evaluation & Quality Assurance • Evaluate and recommend technologies to enhance capabilities across analytics, workflow, and intelligence domains, • Ensure architectural integrity through code reviews, assessments, and continuous monitoring, • Proactively identify technical risks and devise strategies for reliability, security, and performance Technical Requirements Full Stack SaaS Architecture: • Strong proficiency in modern JavaScript/TypeScript and Node.js, • Deep knowledge of web platform fundamentals and browser native capabilities, • Experience designing and evolving well structured APIs for platform integrations Architectural & Systems Thinking: • Deep knowledge of architecture principles, design patterns, and distributed systems, • Proven ability to make pragmatic tradeoffs in complex, evolving systems, • Experience in cloud native environments, preferably AWS AI Enabled Engineering: • Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, Claude, etc.), • Understanding of AI applications for development productivity and code quality improvement Qualifications • 8 to 12+ years in software engineering and architecture roles, • Proven experience operating across multiple agile teams in an architectural leadership capacity, • Track record of managing cross team dependencies and bridging architectural vision with day to day execution, • Proven ability to drive AI adoption and transformation within engineering organizations, • Excellent communication and facilitation skills with ability to align work across distributed teams, • Pragmatic, operational mindset with strong problem solving abilities, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

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.

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:

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.

AI Engineer / Workflow Automation Specialist Salary Up to £55,000-£60,000 DOE Location Fully Remote (UK-based) Type Full-time, Permanent About TRAKD TRAKD has partnered with a forward-thinking performance marketing agency pushing the boundaries of what's possible in the AI space. We've built out our own internal 'agency brain,' a self-hosted AI system running on Mac Minis via OpenClaw, pulling together data from across the entire business: Notion playbooks, Xero invoicing, Fireflies call recordings, Slack communications, and more. They're not just an agency that talks about AI; we're actively building the infrastructure to make every team member smarter, faster, and more effective. This hire is central to that mission. The Role We're looking for an AI Engineer to own, maintain, and expand our agency brain. This is a rare opportunity to work directly with our founder on genuinely cutting-edge internal tooling that most agencies haven't even started thinking about, especially in the UK. You'll be responsible for keeping existing AI workflows running reliably, building new agents and automations as ideas emerge from the team, and proactively bringing forward ideas that improve how we operate. Key Responsibilities Agency Brain Development & Maintenance • Own the upkeep and reliability of our OpenClaw-based agency brain, • Ensure integrations with Notion, Xero, Fireflies, Slack, and other platforms remain stable, • Diagnose and fix workflow breakages before they impact the team, • Continuously improve data ingestion, retrieval, and output quality AI Workflow & Agent Building • Design and build new AI-driven workflows based on internal briefs from leadership and ops, • Build agents for use cases such as: client sentiment analysis, churn detection, revenue opportunity spotting, and creative strategy generation, • Develop automated research-to-output pipelines — e.g. pulling TikTok/Instagram creative data and generating full brand strategy documents for strategists, • Explore and implement end-to-end creative workflows (e.g. pulling performance data → analysing → generating ad variations via AI video tools) LLM & Tooling Expertise • Stay at the forefront of developments across LLMs (Claude, OpenAI, Gemini, etc.) and agentic frameworks, • Identify cost-efficient ways to run workflows without burning unnecessary tokens or credits, • Evaluate and integrate new tools and MCP-connected services as they emerge About You Must-Haves • Hands-on experience building AI workflows and automations (n8n, Make, LangChain, or similar), • Deep familiarity with LLM APIs and prompt engineering, • Understanding of agentic AI systems, RAG pipelines, and vector databases, • Experience integrating third-party APIs (Slack, Notion, Xero, or similar), • Proactive, self-starting attitude you bring ideas, not just completed tickets Nice to Haves • Experience with OpenClaw or similar self-hosted agent runtimes, • Familiarity with sentiment analysis and NLP-based workflows, • Background in or exposure to performance marketing or creative agencies, • Experience with web scraping and social media data pipelines, • Knowledge of cost optimisation strategies for LLM usage at scale The Person Years of experience matter less than mindset. We're a team that subscribes to a 1% better every day philosophy; they want someone who shares it. You'll thrive here if you: • Keep your finger on the pulse of the AI world and get genuinely excited by new developments, • Spot opportunities to automate or improve things without being asked, • Communicate clearly and want to be part of a team, not just a coder in the corner, • Are comfortable working remotely but want to show up for team socials and culture What's On Offer • Salary up to £55,000-£60,000 depending on experience, • Fully remote working with flexibility, • Direct access to and collaboration with the founder, • The chance to build genuinely novel AI infrastructure this is not a maintenance role, it's a build role, • A fast-moving, ambitious team culture with regular socials, • Real scope for growth as the AI function expands

A global technology corporation in Manchester is seeking an Associate Data Engineer to design and maintain data pipelines.The ideal candidate will possess a strong background in data engineering and prompt engineering principles, alongside proficiency in programming languages such as Python or SQL.R

AI Engineer - Job Description Position SummaryOur client's AI & Data function focuses on helping organisations solve complex business challenges through the effective use of data, artificial intelligence, and modern technology platforms.The team delivers end-to-end, business-driven solutions that integrate data, technology, and processes across organisations and their wider ecosystems, including partners, suppliers, and customers.The focus is on creating scalable, high-quality, and governed solutions that enable better decision-making, operational efficiency, and digital transformation. The OpportunityAs an AI Engineer, you will work at the intersection of data, engineering, and artificial intelligence to build practical, scalable solutions that deliver real business value.You'll collaborate with cross-functional teams to design, develop, and deploy data pipelines, machine learning models, and AI-enabled applications that support analytics, automation, and insight generation.This role suits someone who enjoys: Working with modern data and AI technologies Delivering clean, reliable, production-ready solutions Translating business needs into technical outcomes Key ResponsibilitiesData Engineering & Development Design, build, and maintain scalable data pipelines, datasets, and data models Support analytics, reporting, and AI-driven use cases Work with both structured and unstructured data sourcesAI & Machine Learning Develop and deploy machine learning models for: Prediction Classification Automation Insight generation Support the full life cycle from experimentation through to productionGenerative AI & LLM Applications Develop AI-powered solutions using large language models (LLMs) Apply prompt engineering and context engineering techniques Build use cases such as: Chatbots Document processing AI copilots Workflow automationData Integration & Quality Integrate data from multiple internal and external sources Ensure data quality, consistency, and reliability across platformsCollaboration & Stakeholder Engagement Work closely with: Business Analysts Data Analysts Product teams Translate business requirements into scalable technical solutions Communicate technical concepts clearly to non-technical stakeholdersTesting, Monitoring & Optimisation Implement testing, validation, and monitoring processes Ensure: Data accuracy Model performance System reliability Optimise pipelines, storage, and models for performance and scalabilityDocumentation & Governance Produce clear technical documentation (pipelines, models, logic) Follow best practices around: Data governance Security Privacy Compliance Skills & ExperienceEssential Experience in a similar role (AI Engineer, Data Engineer, Machine Learning Engineer, or Data Developer) Strong programming skills (Python, SQL or similar) Experience building and maintaining data pipelines Working with structured and unstructured dataDesirable Experience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Exposure to Generative AI tools/frameworks (e.g. LLMs, LangChain) Experience with cloud platforms (Azure, AWS, or GCP) Familiarity with data platforms, data warehouses, or big data technologiesSoft Skills Strong analytical and problem-solving ability Attention to detail and commitment to quality Ability to communicate technical ideas effectively Experience working in Agile environments Additional Requirements Candidates may be required to undergo background checks or security clearance depending on client/project requirements. About the TeamYou'll be working within a collaborative technology and data environment focused on delivering transformation for clients across multiple industries.The team combines deep technical expertise with innovative thinking to help organisations modernise their data and AI capabilities, unlock value, and improve outcomes for customers, employees, and stakeholders. 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)

Technical Lead - TypeScript / Node.js As a Technical Lead, you’ll work directly with the founder to shape the technical vision and execution of a high-growth startup backed by a larger, established group. You’ll lead a talented engineering squad, drive architectural decisions, and deliver scalable backend systems that support thousands of users-all while influencing the strategic direction of the product. This is a hands-on leadership role where you’ll combine deep technical expertise with mentorship, strategic thinking, and cross-functional collaboration in a fast-moving startup environment. The Role Technical Strategy & Leadership Work alongside the founder to define and evolve the technical roadmap Lead architectural design and critical technology decisions Champion engineering best practices, code quality, and technical excellence Mentor, coach, and grow engineers at all levels Foster a culture of ownership, collaboration, and innovation Backend Architecture & Development Architect, build, and scale backend services and RESTful APIs Design, optimise, and maintain MongoDB database solutions Improve system reliability, performance, and scalability Resolve complex production issues with robust solutions Implement microservices and modern backend patterns Collaboration & Delivery Partner with Product, Design, and the founder to deliver high-impact outcomes Participate in hiring and technical interviews to grow the engineering team Drive improvements in processes, CI/CD pipelines, and DevOps practices Ensure effective planning, estimation, and execution across initiatives Core Technical Expertise You’ll thrive in this role if you have strong experience with: MongoDB (data modelling, indexing, aggregation pipelines, performance tuning) Node.js and the wider JavaScript/TypeScript ecosystem RESTful API design and distributed systems AWS or similar cloud platforms Microservices architecture CI/CD pipelines and DevOps best practices GitHub workflows Observability and monitoring tools (e.g., Datadog) Docker and Kubernetes Tech Stack You’ll be working with: Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have – AI Experience Not essential, but highly desirable: Integrating AI/ML models into production systems Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI-powered automation tools Why This Role is Exciting Work directly with the founder on a startup backed by a larger, established group Influence the technical and product direction from the ground up Hands-on leadership in a fast-moving, high-impact environment Benefits We genuinely invest in our people. You’ll enjoy: Hybrid Working Flexible working hours 25 days annual leave + 8 bank holidays + 2 Christmas shutdown days Option to purchase an additional week of leave Interested? Please Click Apply Now! Technical Lead - TypeScript / Node.js

AI Agentic Engineer (MedTech) We’re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where you’ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You’ll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you’ll be doing You’ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You’ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver. What we’re looking for We’re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version control, scalable design) Bonus experience: Background in healthcare, life sciences, or regulated environments Experience with AI safety, evaluation, or model monitoring Familiarity with distributed systems or event-driven architectures Location & working style This role is based in Newcastle, with fully remote working available, plus occasional collaboration sessions with the team when required. Why join? This is a rare opportunity to work on cutting-edge AI systems in a mission-driven MedTech environment, where your work will have direct real-world impact. You’ll be joining a highly technical team solving meaningful problems with modern AI approaches. Interested? Please Click Apply Now! AI Agentic Engineer (MedTech)

Founding Engineer Manchester (Hybrid) AI Product / Mobile / SaaS The Opportunity Were working with an early-stage, mission-led software business looking to hire a Founding Engineer to play a key role in the next evolution of their product. The business already has a live platform and strong market relevance the next phase is about rebuilding and improving the product for the AI era , with a particular focus on user experience, intelligent workflows, and mobile-first product thinking . This is a rare opportunity to join at a genuinely influential stage, working directly with the founders to help shape what gets built, how it gets built, and where the product goes next . If youre the kind of engineer who enjoys owning product problems , building in ambiguity, and turning ideas into shipped features, this is a very interesting role. What Youll Be Doing Taking a hands-on role in the evolution of the core product and mobile experience Building and shipping features using modern AI tooling , including LLMs, prompt engineering, and agent-based workflows Improving and shaping the user experience through better product thinking, architecture, and delivery Working closely with the founders to turn product ideas into scalable, high-quality software Identifying where AI can genuinely improve customer outcomes not just where it looks good on a roadmap Making practical decisions around architecture, integrations, tooling, and technical direction Helping establish the foundations for the future engineering roadmap and team What Were Looking For Strong hands-on software engineering background Experience building and shipping real product in startup, scale-up, or high-ownership environments Experience working on customer-facing applications , ideally with some exposure to mobile / app-led products Practical experience using AI in production, including areas like: LLMs prompt engineering AI-assisted workflows agent-based functionality Comfortable working across product, engineering, and technical problem-solving A strong builder mindset someone who enjoys getting things live, improving products, and solving meaningful user problems Comfortable in a fast-moving, founder-led environment Nice to Have Experience with consumer products , engagement-led products, or behaviour-driven applications Exposure to open banking , fintech, or data-led products Experience working as an early technical hire or in a Founding Engineer / first product engineer type role Interest in helping shape technical direction as the business grows Why Join Founding-level opportunity with genuine ownership Direct access to founders and product direction Opportunity to help shape an AI-native product in a meaningful way High-impact role where you can influence both what gets built and how it gets built Hybrid working in Manchester Equity opportunity as part of the package TPBN1_UKTJ

DWP. Digital with Purpose. Join DWP as a Senior Software Engineer in the PTP-MOSS team, maintaining and improving vital legacy systems that enable services for millions across the UK. Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Demonstrable experience of developing and deploying to cloud environment utilising Azure technologies such as Azure SQL, Azure DevOps, and Azure Cosmos Database. Influential, with experience of leading multidisciplinary engineering teams, communicating with stakeholders, driving delivery, ensuring standards, ways of working and building supportive and collaborative culture. Work across the entire technical stack, from architecture, design, code management, to CI/CD pipelines, databases, backend frameworks, APIs and user interfaces to ensure quality and consistency. Experience of code management tools such as GIT and deployment technologies (Git, Pipelines. Experience of supporting and maintaining complex legacy applications in live environments. Modernising applications via refactoring and rewriting existing code. Experience of managing incidents and problems with a focus on service continuity and prompt resolution timescales. A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java. You and your role As a Software Engineer at DWP Digital, you will play a vital role in maintaining and enhancing the systems that underpin some of the UK's most essential public services. You'll work on complex legacy applications that support DWP operations, ensuring they remain secure, resilient, and fit for purpose while contributing to their gradual transition to modern, cloud-based platforms. You'll bring strong full-stack engineering skills and be comfortable working across the entire technical lifecycle, from architecture and design through to development, deployment, and live service support. Using your experience with Azure technologies and modern development practices, you'll help remediate technical and security debt, implement legislative and business changes, and ensure systems remain compatible with evolving environments. You'll also play a key role in incident and problem management, supporting service continuity and helping teams respond quickly and effectively when issues arise. Collaborative and influential, you'll work closely with multidisciplinary colleagues and stakeholders, contributing to shared standards, ways of working, and a positive engineering culture. Above all, you'll be motivated by purpose-driven work that delivers reliable, high-impact services for millions of people across the UK. Details. Wages. Perks. Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%). Pay: We offer competitive pay for this role of up to £80,664. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £16,786 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket. Professional development, coaching, mentoring and career progression opportunities. Process: We know your time is valuable, so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. Interview: A single stage interview online. CLICK APPLY for more information and to start your application TPBN1_UKTJ

AI Product Engineer (Full Stack / AI Systems) We are building a new generation of AI-powered products and are looking for a hands-on AI Product Engineer to help design, build, and scale intelligent systems in production. This is not a pure research or infrastructure role. We are looking for someone who can bridge product thinking, software engineering, and real-world AI system behaviour, turning ideas into reliable, production-ready features used at scale. You will work across the full stack, with a strong focus on building AI-driven user-facing features, debugging LLM behaviour in production, and shaping how AI is embedded into real products. Key responsibilities Design and build AI-powered product features end-to-end (frontend, backend, and AI layer) Work with LLMs in production environments, including prompt design, tuning, and debugging AI behaviour Investigate and resolve production issues such as hallucinations, incorrect outputs, and context injection failures Build scalable backend services and APIs using modern cloud infrastructure C#, .NET Experience Develop responsive frontend applications and translate product designs into working interfaces Work with event-driven and distributed systems where required Collaborate closely with product, engineering, and operations teams to deliver customer-facing AI features Contribute to system design decisions including scalability, observability, and reliability What we’re looking for Strong full-stack engineering experience (frontend + backend development) Experience building or shipping AI/LLM-powered features in production Understanding of prompt engineering, LLM behaviour, and AI failure modes (e.g. drift, hallucination, context issues) Experience working with cloud platforms (AWS or Azure) Strong backend engineering skills (APIs, data flow, system design) Comfortable debugging complex production issues across distributed systems Ability to work with frontend engineers and product teams collaboratively Strong curiosity and product mindset - asking the right questions, not just writing code Desirable experience RAG (Retrieval-Augmented Generation) systems or agent-based AI workflows Kubernetes or containerised deployment environments Event-driven architectures and scalable system design Experience translating UI/UX designs (e.g. Figma) into production frontend code Familiarity with Vue, React, or similar frameworks Exposure to enterprise-scale AI or data-heavy applications What sets this role apart You will be working directly on real AI systems in production, not prototypes You will be expected to debug AI behaviour, not just infrastructure issues You will own the full journey from idea → product feature → production AI system You will help shape how AI is embedded into core product experiences What we offer Competitive salary (based on experience) Hybrid working model Opportunity to work on cutting-edge AI product development High autonomy and influence over technical direction Exposure to modern AI tooling and agent-based development workflow Interested? Please Click Apply Now! AI Product Engineer (Full Stack / AI Systems)

Location: North East London & Essex UK.Join IQVIA as a Territory Manager and Drive Innovation in Allergy Care!.Oversee new and existing accounts in community and hospital settings.Develop and execute a territory business plan to achieve goals.Drive growth with innovative strategies.Strong selling, c

One of our clients, a global leader within their industry, is looking for an E&I Technician to join their operations in maintaining and repairing complex machinery in an industrial setting.The ideal candidate will have a strong background in electrical work or a multi-skill engineer with Electrical

A fast-growing insights provider delivering data, analytics, and consultancy to support commercial decision-making across global markets.Drive new business and manage key client relationships, owning revenue targets and building a strong sales pipeline.Win new business across data, insights, and con

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Visum Recruitment is working with a leading engineering manufacturer who are seeking an Area Sales Manager to take ownership of a high-performing territory across the North West of England and North Wales. Proven background in external B2B sales within mechanical engineering or technical products. H

Channel Manager – Food & Foodservice.A well-established food business is looking for a commercially driven Channel Manager to take full ownership of a national account portfolio and lead strategy across a key sector.This is a high-impact, field-based role where you'll operate at pace — balancing

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We’re looking for a motivated and enthusiastic PR Senior Account Executive to join our award-winning team.You’ll work in a fast-paced agency environment, where you’ll sharpen your practical skills, deepen your understanding of today’s media landscape, and learn from a highly experienced team

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A growing UK payments business is looking for a driven Field-Based Payments Consultant to join its sales team.The company provides card payment solutions to businesses nationwide, including EPOS, smart terminals, e-commerce, and virtual terminal products.This is a great opportunity for a confident.I

May to need be accessed via Desktop or our Careers website: : Birmingham Manchester or Leeds - Hybrid (2-3 times office).Ardent is the UK’s leading provider of land, consent management, and stakeholder engagement services, supporting major infrastructure and regeneration projec

Field Sales Executive – Driving Licence Required.Location: London (Field‑based).Base Salary: £28,000–£35,000 + Commission.Full UK Driving Licence Required.London‑based territory within the healthcare and pharmaceutical sector.This is a field‑based role focused on building and maintaining

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Account Executive – B2B Financial Services PR.We’re supporting a specialist financial services PR agency with hiring an ambitious Account Executive to join their growing fully remote team.The agency works with insurers, reinsurers, brokers, insurtechs and professional services firms across the U

Our client is a specialised, value-adding distribution business, supplying essential products and services to the Healthcare, Pharma, Life Sciences and Food Sectors across Ireland and the U.They focus on three key sectors: IVD, Scientific and Medical.They are now looking to add an experienced Territ

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