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Junior AI Developer – 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 Developer 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

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 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 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.

Job title: Digital Marketing Specialist (DMS) \n\nSalary: Up to £50,000p/a DOE \n\nHours: Monday - Friday 9:00 am - 5:00 pm \n\nLocation: Fully remote \n\nRole Overview \n\nHRGO Recruitment are currently seeking an experienced, data-driven Digital Marketing Specialist to lead integrated marketing campaigns that drive brand awareness, customer acquisition, and measurable business growth. \n\nThis role combines performance marketing expertise with AI-powered content creation and automation to maximise campaign impact and efficiency. \n\nKey Responsibilities \n\nPlan, execute, and optimise multi-channel marketing campaigns \nOwn paid digital channels (Google Ads, PPC, paid social) and manage full campaign lifecycle \nSet KPIs, monitor performance, and optimise for ROI \nManage budgets and forecasting \nUse data to inform segmentation, targeting, and messaging strategies \nMaintain brand consistency across all communications \nSupport PR and customer journey initiatives \nLeverage AI tools to create and optimise content (blogs, emails, ads, landing pages, social media) \nDevelop effective prompts and refine AI-generated content to align with brand voice \nImplement automation and AI solutions to improve efficiency \nCollaborate cross-functionally and mentor a Campaign Executive \n\nSkills & Experience \n\nProven experience in campaign or demand generation marketing (SaaS, tech, or B2B preferred) \nStrong Google Ads and analytics expertise \nExperience with marketing automation and CRM platforms (e.g., Pardot, Salesforce) \nHands-on experience using AI content tools \nStrong analytical, copywriting, and project management skills \nCommercially minded with experience managing budgets and KPIs \nHave your own equipment \n\nIf you are interested in this role, please contact Mia at (phone number removed) or email (url removed)

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 team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science 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. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Senior AI Infrastructure Engineer (OpenStack & Kubernetes) Location: Remote (UK or EU Preferred) Sector: High-Performance GPU Cloud Computing The Opportunity I am representing a fast-growing, international scale-up that is building next-generation GPU cloud infrastructure. This company is the powerhouse behind a high-performance platform designed specifically for the most demanding AI, Machine Learning, and HPC workloads. As they scale their global footprint to meet massive demand, they are seeking a Senior Infrastructure Engineer who enjoys deep technical autonomy. This is a role for a specialist who wants to move fast, solve complex problems, and have direct ownership over the stability and scalability of business-critical systems. What You’ll Be Doing • Owning Infrastructure: Designing, deploying, and operating OpenStack and Kubernetes clusters optimized for multi-tenant GPU workloads., • Driving Automation: Building and maintaining infrastructure-as-code and GitOps practices to ensure seamless scalability., • Optimizing Performance: Enabling reliable workload scheduling through Kubernetes-native tooling, container runtime optimization, and NVIDIA integrations., • Ensuring Resilience: Maintaining high availability and observability through proactive monitoring, logging, and incident response., • Strengthening Security: Implementing strong controls, including RBAC and network policies, to ensure tenant isolation., • Cross-Team Collaboration: Working closely with DevOps, AI, and Product teams to align infrastructure capabilities with customer needs. The Ideal Profile • OpenStack Expert: Significant hands-on experience operating OpenStack in a production environment., • K8s Specialist: Strong experience running production-grade Kubernetes, ideally in bare-metal or private cloud setups., • Systems Generalist: A solid grounding in Linux, networking, and storage with a practical approach to troubleshooting., • Modern Workflows: Experience with infrastructure automation, CI/CD, and Git-based workflows., • Scale-up Mindset: The ability to thrive in a fast-moving environment with a strong sense of accountability. Nice to Have • Exposure to GPU-based infrastructure, large-scale compute platforms, or HPC., • Familiarity with advanced networking technologies., • Contributions to open-source or cloud-native communities. What’s on Offer? • Impact: The opportunity to make a visible, meaningful impact on a platform used by teams running compute-heavy applications., • Flexibility: Flexible working arrangements, including remote or hybrid options., • Growth: Clear career progression and the chance to help shape the company's culture and future., • Culture: A collaborative, transparent, and international culture built on trust., • Benefits: Competitive salary, annual discretionary bonus, 25 days holiday (plus public holidays), and wellbeing benefits.

Protein Works is a high-growth DTC nutrition brand with a clear mission: help people live healthier, happier lives through the power of nutrition. We've built a loyal customer base and performance marketing is the engine that connects them to the products that change their habits. Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants. Protein Works is at an inflection point. The brand is investing heavily in growth, the product range is expanding, and the customer data tells a compelling story - we know who our customers are, what they want, and why they stay. What we need now is someone to pour fuel on that. This is a rare opportunity to own the paid acquisition function at a brand with real product-market fit, a defined mission, and leadership that thinks commercially. You'll have budget, autonomy, and a direct line to decisions. If you want to build something - not maintain it - this is the role. This role owns paid acquisition end-to-end. You'll lead a high-output team and be expected to use AI tooling not as a novelty but as a genuine performance lever - in creative, bidding, audience strategy, and reporting. Success here means growing revenue efficiently, protecting contribution margin, and building a paid media operation that scales. What You'll Own • Own paid acquisition strategy and execution across Meta, Google (Search, Shopping, PMax), and TikTok - with full accountability for CAC, ROAS, and revenue targets, • Embed AI tooling into the day-to-day: creative iteration, copy testing, audience modelling, campaign optimisation, and performance reporting., • Drive LTV and repeat purchase through intelligent retargeting and lifecycle-aligned paid strategies., • Support our Performance Creative team with creative strategy for paid channels: iterating UGC, static, and video assets at pace across different product lines and audience segments, • Own channel-level contribution margin reporting - understand what's profitable, what isn't, and make decisions accordingly, • Build and manage the media budget, allocating spend dynamically based on performance data and seasonal demand signals, • Work cross-functionally with brand, CRM, and product to ensure paid activity is joined up with the full customer journey - from first click to repeat buyer, • CAC held within target across all key channels while revenue volume scales, • AI tools are visibly reducing time-to-test and improving creative performance - not just sitting in the stack, • Weekly creative testing cadence in place, with clear winners rolled out and losers cut fast, • Contribution margin visibility at channel and campaign level, reviewed weekly with clear actions, • 5+ years in performance marketing, growth or acquisition, with demonstrable experience of building and scaling over a prolonged period., • Demonstrable experience running and scaling paid campaigns on Meta and Google - with real ownership of budget and results, • Hands-on experience using AI tools in a marketing context (e.g. creative generation, copy testing, performance analysis - not just ChatGPT for captions), • Strong commercial fluency - you can talk CAC, LTV, ROAS, and GP in the same breath, • Proven track record of building and managing creative testing frameworks, not just executing on briefs, • Experience marketing in health, nutrition, wellness, or FMCG DTC, • Familiarity with health and wellness consumer trends and how they're reshaping acquisition strategies, • Experience with TikTok Shop or affiliate/influencer performance channels, • Ownership without prompting - you don't wait for direction; you diagnose, decide, and act, • Commercial by default - every creative decision, budget call, and channel choice is rooted in what it does to the P&L, • AI-native mindset - you genuinely believe AI changes what's possible and you actively build that into how you work, • Fast, not reckless - you bias toward action but you test, measure, and course-correct with discipline, • Low ego, high standards - you'll work across teams and challenge ideas without making it personal REF-227 758

We work with organisations across a range of B2B markets to generate qualified demand and build stronger sales pipelines.

A major driver will be transforming and accelerating the demand engine, including how it identifies, generates, and converts commercial demand into profitable growth and new customers at speed. Review and redesign marketing and demand generation operating models across business units, ensuring profi

Own performance reporting across the demand generation function, acting as the go-to source for campaign results, pipeline contribution, and marketing ROI for senior stakeholders. Define differentiated approaches for distinct markets: ABM for UK State, scalable demand generation for Independent and

We’re hiring a Growth Marketer / Demand Generation specialist to build, own, and scale our demand engine. Demand Generation | B2B SaaS for Ecommerce Accessibility | Shopify Ecosystem & Beyond. Own and scale the demand generation engine to drive inbound trial signups and paid conversions.

Develop and execute a demand generation strategy that balances high‑intent search capture with future demand generation for technical audiences. Has 5+ years of B2B SaaS demand generation experience with a proven track record of driving revenue and pipeline growth. Job Title: Demand Generation Man

Develop and execute a demand generation strategy that balances high‑intent search capture with future demand generation for technical audiences. Has 5+ years of B2B SaaS demand generation experience with a proven track record of driving revenue and pipeline growth. Targeting technical buyers like

You’ll play a crucial role in driving brand awareness, lead generation, customer engagement, and ultimately, achieving our business objectives through strategic campaign management and demand generation programs. B2B multichannel demand generation environment, scaling demand gen programs for all p

Decide how to allocate the budget across demand‑generation and demand‑capture channels and initiatives, to maximise cost‑efficiency and marketing ROI. We need an experienced demand generation operator who’s ready to design global campaign strategies from scratch, driving experimentation, and

You’ll be the architect of how Ben generates demand in an enterprise market, working closely with Sales, running our ad agency, and building an increasingly AI‑powered growth operation. Proven growth and demand gen experience in a B2B business with an enterprise sales motion: you understand long

This is an exciting opportunity for an experienced demand generation specialist who thrives at the intersection of creativity and data. Develop and own the company’s demand generation strategy and roadmap. Following strong growth over the last 12 months, the business is now investing in its go‑t

A global data technology firm is looking for a Marketing Manager to join their International Marketing team in Greater London.The successful candidate will plan and execute various company and partner events to drive commercial outcomes.Responsibilities include managing event logistics, creating eng

Demand Generation Director, Logistics & Supply Chain AI. As the Demand Generation Director, you will architect Raft's top-of-funnel engine, driving qualified revenue for a platform reshaping the $19 trillion logistics industry. Lead the demand generation strategy for a category-defining AI platform

A leading global consulting firm in the UK is looking for a highly motivated Demand Generation Sales Specialist. Ideal candidates will have experience in demand generation and proficiency with CRM tools like Salesforce.

With a strong emphasis on strategic execution, data-driven decision-making, and modern demand generation frameworks, they deliver measurable pipeline growth across multiple industries. Marketing Manager – Demand Generation / Growth Marketing. Develop and execute end-to-end demand generation strate

A leading software company in the United Kingdom seeks a Marketing Manager to build and lead the demand generation function. The ideal candidate has at least 3 years of B2B demand generation experience, strong leadership skills, and a data-driven approach.

Budget & ROI: Full ownership of the demand generation budget. We are looking for a Head of Demand Generation who thinks in systems, not just channels. Commercially Accountable: You have personally owned pipeline targets and a demand gen budget, making reallocation decisions based on data, not habit.

Digital & Demand Generation Marketing Manager (UK). Strong Digital & Demand Generation Marketing Manager. Demonstrable experience around Demand Gen and Growth Tactics from using platforms such as HubSpot to being a strong digital performance wiz.

Are you passionate about owning demand generation at a fast‑growing subsidiary within Amazon? Are you a highly organised, data‑led growth leader who wants to develop high impact campaigns and scale a key priority for Amazon’s seller‑facing business? We're seeking a Demand Generation Lead to

We are seeking a Demand Generation Marketing Manager to join our growing team, own lead generation and pipeline growth, and drive measurable business impact. Own and manage Salesforce for all demand generation activities, including campaign set‑up, attribution models, reporting dashboards, lead sc

This is not a traditional demand generation hire. You will own the full demand generation engine from account identification through to pipeline handoff. AI‑Powered Demand Generation System.

Own demand generation end‑to‑end, from strategy through to execution. A focused, high‑performing demand generation team. Scale a demand engine with strong foundations.

You will lead the demand generation engine for a fast-growing scale-up, turning data into revenue-driving campaigns. True ownership of the demand engine with the autonomy to experiment with AI workflows, new channels, and creative strategies without agency gatekeepers.

The Marketing team at EmpowerRD is looking for a Senior Demand Generation Marketing Manager to help scale pipeline impact through full-funnel demand campaigns that drive measurable revenue outcomes. Demand Generation Marketing Manager. Therefore we are looking for a Senior Demand Generation Marketin

This is a high-impact leadership role where you will own and scale YOOBIC’s global demand generation engine and website performance strategy — directly influencing pipeline growth and revenue. You’ll operate at the intersection of strategy and execution, working closely with Sales, SDRs, and R

Demand Generation Director, Logistics & Supply Chain AI. As the Demand Generation Director, you will architect Raft’s top‑of‑funnel engine, driving qualified revenue for a platform reshaping the $19 trillion logistics industry. Lead the demand generation strategy for a category‑defining AI p

Evolve demand generation strategy, translating revenue targets to demand plans and campaign roadmaps. Proven experience owning end-to-end B2B demand generation, including events, pipeline creation, and paid media. Collaborate with teams to create demand assets, ensuring brand consistency and clarity

We’re hiring a Demand Generation Manager to build and scale Tessl’s growth engine. Own demand generation strategy across paid, organic, partnerships, and community channels. This is a hands‑on, data‑driven individual contributor role focused on building repeatable, measurable demand in a dev

As a Demand Generation Manager, you will sit at the centre of this. Pilot and scale innovative demand generation tactics, leveraging AI, data, experimentation, and emerging channels. Aligning closely with sales to ensure demand generation delivers leads that convert, reducing friction and wasted eff

We’re looking for a Head of Demand Generation to own and scale a high-performing B2B demand engine, with clear accountability for pipeline creation and revenue impact. You’ll lead full-funnel demand generation, working closely with Sales, SDRs and RevOps to deliver predictable, high-quality pipe

We are looking for a lead generation engine builder, not a brand custodian.

This role is the regional owner of demand generation in EMEA and serves as the primary digital demand generation focal point for the EMEA sales organization. The Demand Generation Manager – EMEA will play a key role in driving pipeline and revenue growth across the EMEA region through regional dem

Supports creation of content that positions Arqiva as an authority in the markets it serves.Implements campaign plans to increase audience awareness and engagement.Tracks the effectiveness of marketing activity, adapting campaign plans as required to achieve KPIs and objectives.Supports marketing ac

Track the performance of key demand generation activity across brands. Strong ecommerce marketing experience in a hands‑on growth, demand generation, lifecycle or performance role. Support demand generation across Shopify stores through campaign alignment, SEO optimisation, merchandising input and

A leading software company in Greater London is seeking a Demand Generation Manager to accelerate growth in SMB and free-user segments. The ideal candidate has over 5 years of demand generation experience in a SaaS environment, a passion for data-driven marketing, and works well in fast-paced settin

They're looking for an experienced Demand Generation Manager to join their London team and drive scalable demand generation programs. As Demand Generation Manager, you'll own the strategy and execution of integrated demand generation campaigns that drive qualified opportunities and pipeline growth.

Reporting into the Senior Demand Generation Manager, you’ll be responsible for planning, executing, and optimising multi-channel demand programs that drive qualified pipeline and be accountable for the pipeline attached to the specific growth pod. Senior Demand Generation Manager. Demand Generatio

You don't wait for a playbook; you have the proven enterprise experience to architect the demand generation strategy from scratch within a hyper-growth SaaS environment. We are looking for a Director of Demand Generation to take full ownership of our top-of-funnel engine. With the launch of our next

With strong product-market fit and growing enterprise demand, they’re now hiring their. Track and report on pipeline generation, conversion rates, and ROI. Proven ability to build or scale demand programs in.

Business Development Manager - Demand Generation + Disruptive AI. Like the idea of working for an ambitious and disruptive demand generation company with a unique AI solution?. Our client is a fast-growing early-stage SaaS business with a disruptive AI platform and a 360 degree demand generation sui