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Trainee AI Programmer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking 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.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe 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.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Trainee AI Engineer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking 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.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe 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.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Trainee AI Technician – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking 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.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £28,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\n\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\n\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\n\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\n\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\n\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\n\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\n\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\n\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\n\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\n\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\n\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\n\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\n\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\n\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\n\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £28,000–£45,000\n\nWe Get You Hired\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe 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.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Content & Demand Generation Lead Job title Content & Demand Generation Lead Reports to Head of Growth Location Remote-first (UK, Midlands / North England preferred) – travel to Manchester office occasionally Contract type Permanent, full-time Salary £35,000 – £40,000 base Team size 15 (company-wide) Direct reports None (individual contributor) About Brightbox, Brightbox is a global provider of on-demand technology skills. We help organisations move faster, reduce delivery risk and operate more efficiently by connecting them with pre-vetted digital, data, cloud and AI specialists through our Liquid Workforce Operating Model. Founded by former Accenture technology consultants, we work with premium technology consultancies, enterprises and scale-ups including CGI, Atos, Regatta and BP. We are a founder-led business of 15 people, profitable and growing year-on-year, operating lean with cutting-edge data enrichment, outbound tooling and an in-house development team building AI agents to drive growth and service delivery in a human, technology-enabled way. We are now at an inflection point. Our outbound engine, messaging, brand identity and strategic narrative are established. We need someone to own the content operating function and build the inbound lead generation engine that will accelerate our next phase of growth. Why this role is different Most content marketing roles hand you a brief and a brand guide and ask you to execute. This one hands you a foundation and asks you to build. We have already done the hard strategic groundwork: our ICP is defined, our service-market fit is proven, our strategic narrative is sharp, and our brand has just been through a full refresh. We have an initial library of whitepapers, webinars and articles. Our outbound lead generation is working. What we have not yet built is the inbound content engine that turns brand awareness into a self-sustaining pipeline of qualified leads. That is your job to create. You will not be buried in a marketing department or fighting for budget sign-off. You will report directly to the Head of Growth, work closely with the founder, and have genuine ownership of a function that is central to the company’s growth trajectory. The decisions you make will directly shape how Brightbox shows up in the market. You will have access to an in-house software development team building custom AI agents, workflows and automation for the business. If you can imagine a better way to produce, distribute or measure content, we may be able to build the tooling to make it happen. This is a company that treats technology as a growth multiplier. What you will own Content strategy & production • Define and execute the content strategy across all formats: articles, whitepapers, case studies, social media, newsletters, webinars and video, • Own the end-to-end content calendar, balancing thought leadership, demand generation and brand awareness across channels, • Write high-quality, insight-led content that resonates with senior decision-makers in technology consultancies, enterprises and SaaS, • Develop Brightbox’s point of view on the future of technology resourcing, the Liquid Workforce and the impact of AI on workforce strategy, • Build and publish a weekly newsletter that delivers genuine value and grows a loyal subscriber base Demand generation & inbound lead engine • Build and optimise the inbound lead generation operating system, from content creation through to MQL conversion, • Develop content-led campaigns that drive qualified traffic, capture leads and nurture prospects through the funnel, • Measure and report on content performance against commercial KPIs: MQLs generated, pipeline influenced, engagement metrics and brand reach, • Collaborate with the Head of Growth to align content initiatives with outbound campaigns, sales enablement and revenue targets Brand & thought leadership • Elevate Brightbox’s visibility and credibility in the technology resourcing market through consistent, high-quality content, • Source and manage PR opportunities, speaking slots, guest articles and industry commentary, • Build client case studies and success stories that demonstrate measurable business impact, • Engage authentically with the target audience on social media, building community and conversation around Brightbox’s point of view Content operations & technology • Design and manage the content production workflow, from ideation and creation through to distribution, repurposing and performance analysis, • Work with the in-house development team to build AI-powered content workflows, agents and automation that increase output without sacrificing quality, • Create visual assets (social graphics, whitepaper covers, article imagery) using brand guidelines - you do not need to be a designer, but you should be confident creating clean, on-brand visuals, • Continuously test new formats, channels and distribution strategies, bringing an experimental, data-informed mindset to content What we are looking for; Experience & background • You have built a content system that has driven measurable inbound lead generation, not just engagement - you understand how content converts to pipeline, • You have worked in a start-up or scale-up without established processes and have launched the content function, built the system and delivered commercial results, • You have experience in technology consulting, professional services, B2B technology or a related sector where the audience is senior, educated and commercially sophisticated, • You are an excellent writer. You can produce long-form thought leadership, sharp social copy and compelling case studies without relying on freelancers or agencies, • You have managed content distribution across LinkedIn, email marketing, newsletters and owned channels, and understand what drives engagement in B2B professional services Mindset & working style • You are entrepreneurial. You do not wait for a brief - you identify the opportunity, create the content and measure the outcome, • You are comfortable working autonomously with minimal management. You are self-directed, proactive and accountable, • You actively explore new ways of working. You are curious about AI-assisted content workflows, agents, automation tools and modern GTM technology, • You are commercially minded. You think about content in terms of its contribution to revenue, not vanity metrics, • You are not afraid to push boundaries, test ideas that might fail, and iterate quickly based on what the data tells you Skills & capabilities • Strong copywriting across multiple formats and tones: thought leadership, social, email, long-form, short-form, • Confident creating basic visual assets using tools such as Canva, Figma or similar - adhering to brand guidelines, • Experience with content management and marketing automation platforms (e.g. HubSpot, Webflow or equivalent), • Comfortable with data: you can interpret content performance metrics and translate them into actionable decisions, • A modern lens on technology: interest in AI agents, LLMs, prompt engineering, AI-powered workflows is a strong advantage given our internal tooling and market positioning Compensation & working arrangement Salary: £35,000 – £40,000 base salary Location: This is a remote-first role. We are based in Manchester with team members across the Midlands and North of England. We meet in person occasionally - roughly once a month - either in our Manchester office or locally in the Derby area. We are looking for someone based in the Midlands or North of England who is happy to travel for these sessions.

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 Junior 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, • 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, • Junior 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.

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

Title: Principal Forward Deployed Engineer – AI & Customer-Facing Technical Leader Location: Remote Travel: Customer visits 4–5 days/month; occasional team gatherings Salary: Senior: €130–150k base + growth trajectory Principal: €160–200k base + package discussion Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy The Role We’re looking for talented engineers to join our customer-facing AI practice, from Senior Forward Deployed Engineers through to Principal-level AI technical leaders. You’ll work directly with clients to uncover problems, build prototypes, and guide full AI-enabled solution lifecycles. This is a role for engineers who: • Enjoy building real software that makes a difference, • Are passionate about AI and its practical application, • Thrive at the intersection of technical leadership and client engagement What You’ll Do Customer-Facing Leadership • Lead discovery workshops with technical and business stakeholders, • Represent the organisation’s technical capabilities in high-stakes client meetings, • Build and iterate working AI prototypes quickly, • Architect scalable, maintainable systems from prototype to production, • Guide engineers through technical delivery, code reviews, and architectural discussions, • Elevate team capabilities through knowledge sharing, mentoring, and internal workshops, • Implement AI solutions leveraging LLMs, foundation models, and retrieval-augmented generation (RAG) systems, • Design evaluation frameworks addressing bias, hallucination detection, and business impact, • Explore novel AI applications while integrating traditional ML techniques where appropriate Who We’re Looking For For Senior Engineers: • 5–8+ years building robust, scalable software systems, • Full-stack development capability across modern technologies, • Client-facing experience or technical consulting skills, • 8+ years delivering complex, enterprise-grade software, • Proven AI/ML expertise with production deployment experience, • Advanced knowledge of transformer architectures, foundation models, and prompt engineering, • Senior stakeholder engagement experience and ability to lead high-level AI strategy

Lead AI Engineer Location: Flexible, Europe preferred Type: Full time Overview I am supporting a new AI venture backed by an established global technology platform in digital publishing and print infrastructure. The team is building an AI powered design editor that allows users to generate fully customised, print ready assets from natural language prompts. Unlike template based tools, this system creates original layouts, graphics, and structured outputs end to end. The Role You will operate at the intersection of backend engineering and applied AI, designing and building scalable systems that support production grade AI workflows. This is a hands on role with architectural ownership, focused on taking AI systems from concept through to reliable, high traffic deployment. Key Responsibilities • Design and build backend systems for AI driven content generation, • Develop and scale LLM pipelines, including orchestration and evaluation, • Build agent based workflows for structured content generation, • Architect APIs using Python, FastAPI, and Pydantic, • Ensure systems are robust, scalable, and optimised for production inference, • Collaborate with product and design teams to translate user prompts into structured outputs, • Own performance, reliability, and cost optimisation across AI services Requirements • Strong backend engineering experience with Python, • Proven experience building and deploying LLM based systems in production, • Experience with FastAPI, Pydantic, or similar frameworks, • Hands on experience with RAG, prompt engineering, or agent based systems, • Understanding of system design for high traffic, low latency environments, • Experience working across cloud platforms such as AWS or GCP, • Ability to operate as a senior individual contributor with ownership of architecture and delivery Nice to Have • Experience with generative design, graphics, or structured document generation, • Exposure to multimodal models or layout aware systems, • Background in building tools for creative or publishing workflows

Role: Senior AI Engineer Location: Remote (UK-based) Type: Full-time, permanent Compensation: Competitive salary + equity available About Veridox Veridox detects fraud in documents and images submitted to insurance companies, airlines, and financial institutions. When someone submits a receipt, ID document, or damage photograph, our platform determines whether it's genuine, tampered with, or AI-generated and explains why. Under the hood, we’re replacing brittle, hand‑wired pipelines with multi‑agent AI that reasons more like a human forensic analyst: pulling signals from multiple tools, weighing messy, conflicting clues, and landing on clear, defensible decisions. The Role You'll work on the core AI systems that make fraud decisions. This means building and improving the agent pipelines that coordinate LLMs, VLMs, OCR and forensic tools. You won’t be just calling APIs, but designing how autonomous agents reason about complex, ambiguous evidence. Day to day, you might be: • Improving how the system handles a document type it's getting wrong, • Designing a new agent reasoning pattern (e.g., cross-referencing findings across multiple documents in a claim), • Debugging why an agent produces inconsistent verdicts on edge cases, • Deploying pipeline changes to AWS and monitoring real-world performance, • Writing tests that verify an agent makes the right routing decision when evidence conflicts The work sits at the intersection of AI engineering, systems design, and a surprisingly interesting fraud detection domain. Builder Mindset We’re looking for people who build systems, not just talk about them. This role is about shipping reliable AI into production: debugging edge cases, improving pipelines, and learning from real-world behaviour. If you enjoy turning ideas into working software and iterating quickly, you’ll fit right in. What We're Looking For You should be strong in: • Python: you write clean, typed code and care about it working correctly at the edges, • Working with LLMs beyond chat: structured output, multi-step reasoning, prompt calibration for reliability, • AWS: comfortable with S3, Lambda, IAM, and deploying services that need to work without you watching them, • LLM/VLM Observability (e.g Arize Phoenix), • Experience with agent orchestration frameworks (LangGraph, LangChain, or similar), • Familiarity with vision-language models for image analysis, • Some exposure to document analysis, OCR, or fraud detection, • The specific AWS services we use (Bedrock AgentCore, EventBridge), • Our domain (insurance fraud, document forensics), • The exact frameworks in our stack These are learnable. What matters more is that you can reason about systems, write reliable code, and think critically about how AI makes decisions. How We Work • Small team, high autonomy, async-first, • Security-conscious by default. We assume all inputs are hostile, • We'd rather halt and ask a question than ship something we're uncertain about, • Code gets attacked before it ships. We review from the perspective of a hostile auditor, • We don't over-engineer. Three similar lines of code is better than a premature abstraction What Growth Looks Like Early on: You're deploying changes to the pipeline, understanding how evidence flows through agents, and shipping features that touch the reasoning layer. Later: You own major subsystems. The document analysis agent, the tool orchestration layer, or the cross-document case analysis pipeline. You're making architectural decisions about how agents reason. Longer term: You're designing novel multi-agent patterns, integrating new forensic tools, and shaping how the platform learns from analyst feedback over time.

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

Company Description AI agents are becoming autonomous - they execute code, call APIs, and make decisions without human oversight. An adequate security approach to govern them doesn't exist yet. We're building it. Our founding team created Sigstore, the open-source signing standard now used by npm, PyPI, Kubernetes, and other critical infrastructure. We're applying that same thinking to agentic security: execution boundaries, immutable attestation, and dynamic capability management for AI agents. This is a UK based role, but we may consider hiring from Europe and the US East Coast for exception candidates. What You'll Do • Contribute directly to the Nono open source project - code, documentation, and architectural proposals., • Experiment with different deployment architectures for Nono across cloud environments, on-premise infrastructure, and hybrid setups and share your findings with others at Always Further, and often with the community, via our blogging platforms or YouTube channel., • Work closely with early design partners to integrate Nono into proof-of-concept and pilot programmes, gathering feedback and translating it into engineering priorities., • Support pre-sales and post-sales engineering conversations with tier-1 enterprise organisations., • Produce technical content - blog posts, architecture guides, demos - that helps users and customers get the most out of Nono. What We're Looking For • AI engineering experience. You understand how modern AI/ML workloads are built, deployed, and orchestrated. Familiarity with agent frameworks and LLM-based systems is a strong plus., • Rust and Python proficiency. You don't need to be a language lawyer in either, but you should be comfortable reading, writing, and reviewing code in both. Rust experience is especially important for contributing to Nono's core, while Python is often used for tooling, research integration, and customer-facing scripts., • DevOps and cloud fluency. You've worked with container orchestration, CI/CD pipelines, and at least one major cloud provider (AWS, GCP, Azure) and some familiar with others.. Infrastructure-as-code is a strong point., • Security background. Understanding of host isolation, sandboxing, and supply chain security is highly valued. If you've worked on container security, VM isolation, or trusted execution environments, even better., • Open source experience. You've contributed to or maintained popular open source projects and understand how healthy communities operate - governance, code review culture, release processes, and community engagement., • Strong communication skills. You're equally comfortable in a GitHub issue thread with community contributors and in a room (or on a call) with enterprise architects and CISOs. Nice to Have • Background in systems programming, low-level Linux, or virtualisation technologies., • Strong hands on architectural knowdledge of how to deploy and operate complex distributed systems in production., • Familiarity with AI agent security challenges - prompt injection, tool misuse, data exfiltration, lateral movement., • Previous experience in a solutions engineering, or field engineering role at a startup or open source company. Why Join Always Further • Foundational impact. You're not joining a team — you're building one. Your architectural decisions become the product., • Foundational Stake & Compensation. As an early foundational hire at a pre-seed company, you will receive a highly competitive equity stake designed to reward early risk-taking and outsized impact, paired with a pre-seed base salary., • Remote, UK preferred. We're UK-based but open to exceptional candidates wherever they are. We provide flexible working built on trust and ownership., • Interested? Send us your CV along with your GitHub profile that links to any relevant open source contributions, blog posts, or projects. A short note on why this role interests you goes a long way.

We're hiring a Gen AI Engineer If you've built LLM systems that actually work in production — not prototypes, not demos — this is worth reading. What our client does They're an AI company operating at the intersection of computer vision and large language models, building intelligent workflows for industries where work happens in the field: utilities, telecoms, energy, retail. Their platform processes real-world operational data at scale, helping global enterprise clients make faster, safer and more accurate decisions about their assets and people. They own a dataset in this space that nobody else has. That matters when you're building AI that actually needs to work. 50+ models in production. Real clients. Real scale. The role You'll own LLM applications end to end. Architecture, prompt engineering, RAG pipelines, eval tooling, guardrails, all of it. No handoffs, no red tape. You build it, you own it. Stack: LangChain / LangGraph, AWS Bedrock, Pinecone / FAISS / Weaviate, DeepEval / Langfuse, Docker, Python. Multimodal capability essential. What we're looking for • 2+ years building and deploying production LLM systems, • Hands-on with RAG, vector databases and retrieval optimisation, • Eval tooling experience: DeepEval, Langfuse, Ragas or equivalent, • Strong Python and LLM orchestration frameworks, • Multimodal LLM experience (text + image/video), • Can own a model autonomously without hand-holding Why join Small senior team. Bi-weekly shipping cycles. Remote-first with optional London office and monthly meetups. Equity, healthcare allowance, pension. The problems are hard. The data is unique. The ownership is real.

Civils Quantity Surveyor – Civils/Highways – Bolton – up to £60,000 salary My client are a leading Civil Engineering Contractor in the North West Region and they are looking for an experienced Quantity Surveyor to joint heir team covering projects in the Trafford and Rochdale area. Projects will be predominantly highways projects with some structures (Bridges). This role is an office/site split with 1 day a week WFH. Roles and Responsibilities • Site measurements and preparations of weekly cost and production reports., • Undertake cost forecasts, • Liaise with the site teams to assess and prepare quotations and estimates., • Management of subcontractors including enquiries, order placement, payment assessments, • The production of valuations and submission to clients, • Interpret drawings and instructions and agree estimates with site teams and clients, • Liaise with subcontractors to agree rates and services, • Agree final accounts with all parties in a prompt manner, • Assist the financial director and his team in preparation of monthly and quarterly reporting, • QS Degree or equivalent, • Civil Engineering (Highways/ Structures) experience JBRP1_UKTJ

About The Role Job Title: Field Service Engineer - Dartford Division: Wastekit Purpose of Role Service Engineers are responsible for servicing and maintaining recycling equipment on a reactive and scheduled basis. They will work towards achieving their own targets as well as customer SLAs. Service level agreements are agreed and set with our customers and must be achieved. Service Engineers will work closely with the Service Planning Supervisor, Technical Manager and Operations Director to ensure an efficient and safe delivery. Customer Service • To liaise with the call controllers and Field Service Supervisors to provide the best service to the customers., • The engineer is expected to help plan their daily work to maximize customer service, achieve the highest standards and productivity using electronic and verbal communications as appropriate., • The engineer should always try and take ownership of engineering issues so that the customer is provided with good service., • Engineers are expected to achieve targets set by their Field Service Supervisor and be aware of all customer service level agreements and aim to adhere to them always., • Maintain confidentiality and discretion always., • Carry out any reasonable task deemed necessary., • May be required to work out of area during periods of varying workload volumes and during engineer shortages which can require overnight stays., • Always carry your ID and any Health and Safety accreditation (cards) when at work.Records and Documentation, • To accurately and clearly complete all paperwork and electronic data as required by Wastekit or the customer according to the company procedures., • Accurately record time, parts used and any other details either electronically or manually as required., • Prompt action should be taken to ensure replacement parts are acquired to replenish van stock or parts specially ordered to return to a breakdown being mindful of any customer SLAs., • Pass on any new business leads to sales department.Skills/Knowledge and Qualifications Required, • Shall have good fault-finding and diagnostic skills, • To be able to understand hydraulic and electrical circuit diagrams., • Will be able to show and apply sound knowledge of mechanical, electrical and hydraulic principles, • Can use and understand various electrical and hydraulic test equipment, • Be aware of the Companys procedures and adhere to them always., • To pass on any technical knowledge that may help other engineers., • Use good engineering practice and standards always., • Update engineering knowledge when able., • Always use cost effective but safe measures to carry out tasks., • Can work with the minimum of supervision., • To attend meetings and training courses as required by your Field Service Supervisor.Standards, • Comply with all requirements in the Work Instruction for Engineer Responsibilities., • Comply with instructions given by Field Service Supervisors, Managers and Directors., • To maintain and use company issued equipment and vehicles in a safe manner and according to PHS Group policies., • To take responsibility for the safe keeping of stock and be accountable for stock balances., • To keep accurate records (using stock usage sheets and or electronic recording as appropriate) of when and where the stock is used., • Ensure correct uniform is worn and kept in clean condition and always use PPE when it is required., • Any documentation which is required to be returned to the office is done so in time., • Vans should be kept clean, tidy and maintained as per MFM-02 Commercial Vehicle Transport Policy and appropriate care taken of PPE, tools and stock.Desirable Knowledge and Qualifications, • Ideally from a service engineering, electrical or hydraulic background with an ability to demonstrate the skill of fault finding and repair., • City & Guilds in electrical and mechanical engineering., • Competent in the use of electrical and hydraulic test equipment., • A sound knowledge of single and three phase electrical equipment and hydraulic circuits., • A mature disciplined approach and good personal administrative and customer care skills., • 17th edition electrical regulations/City & Guilds electrical and mechanical engineering. JBRP1_UKTJ

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, • Leading AI-powered product development: designing LLM workflows, RAG pipelines, and agentic features that run on top of our AI platform in production, at scale, • 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 or Python, 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.