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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 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.

Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level Programming staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in 4 easy steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. * HTML Essentials (6 weeks) * CSS Essentials (6 weeks) The training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. * Learn the Command Line (1.5 weeks) * Learn Git & GitHub (1.5 weeks) * Learn JavaScript (1.5 weeks) * Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses * AWS Certified Cloud Practitioner * Microsoft Certified: Azure Administrator Associate Step 4 - Junior Programmer placement (£25K - £40k) We work with you to secure your first role as a Junior Programmer, with a starting salary of anywhere between £25K - £40k. While working as a Junior Programmer, we will release your second batch of training which is specifically designed to qualify you to move into the programming field. Programmer Role Once you have completed all the mandatory training in step four and have gained two plus years experience in the coding industry, you will be ready to move into higher paying programming roles. Our recruitment support team specialises in the Web and programming space and roles at this level have an average starting salary of £45K. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level coding staff, we can guarantee you will secure a job upon completion of your study programme or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Passionate about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Cloud Engineering Manager£70,000 - £80,000 plus a bonus, generous pension and holiday allowance, hybrid working +moreEpsom, Surrey, KT17 We’re looking for a Cloud Engineering Manager to lead a small engineering team responsible for low-level design, build, and secure operation of a scalable, reliable and cost-efficient Azure cloud environment. This role bridges technical delivery and team leadership—you’ll define engineering standards, mentor engineers, contribute to platform roadmaps, and ensure high levels of operational availability across the estate. This is a hands-on, operations-focused role. It’s ideal for an experienced Azure Engineer with team leadership experience or Cloud Engineering Manager who wants to remain close to the technology while managing a small team. You’ll play a key role in the day-to-day running of the cloud environment, with the autonomy to improve processes, while also contributing to projects and working closely with architects on design. Key Responsibilities; • Lead and manage a small cloud engineering team (work allocation, mentoring, performance management), • Remain hands-on with Azure across deployment, configuration and maintenance, • Produce high-quality, Low-Level Design (LLD) documentation, • Support design and project delivery in collaboration with Solution Architects, • Manage Azure tenancy administration and optimisation, • Oversee cloud security, DLP and MFA implementation, • Support migration of legacy systems to Azure, • Manage backup strategy, disaster recovery (ASR) and capacity planning, • Maintain storage lifecycle (Blob, Files, SharePoint, OneDrive), • Ensure CMDB accuracy and support Service Desk escalations, • Maintain monitoring tools, infrastructure diagrams and documentation, • Work within change control and governance processes in a regulated environment, • Support legacy infrastructure (on-prem and virtual) where required, • Produce management information (MI) on performance, cost and usage A Typical Day • Planning and prioritising team workloads, • Running team huddles / check-ins, • Hands-on engineering and troubleshooting, • Attending project meetings and working with architects What We’re Looking For • An experienced, hands-on Azure Engineer, • Previous management or team leadership experience, • Strong Low-Level Design (LLD) capability, • Excellent interpersonal and communication skills—this is a collaborative role, • Experience working in a regulated or process-driven environment, • A proactive, organised and detail-focused approach Essential Skills & Experience • Microsoft Azure administration (networking, firewalls, DR, tenancy), • Azure Site Recovery (ASR) and disaster recovery testing, • Microsoft 365 (Exchange Online, SharePoint Online), • Windows Server deployment and administration, • Cloud security (DLP, MFA), • Backup technologies (including Veeam), • Strong experience with documentation, governance and change control Certifications (Required) • AZ-104: Microsoft Azure Administrator , AZ-305: Designing Microsoft Azure Infrastructure Solutions Desirable - AWS exposure, VDI platforms (Azure Virtual Desktop, Horizon), Infrastructure-as-Code (Terraform, ARM, Azure DevOps), SQL Server administration

AI Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you’ll do: • Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits., • Support the data science and AI team in deploying scalable AI applications across the enterprise., • Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS., • Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries., • Develop prompts, fine-tune models, and track results., • Evaluate third-party GenAI and LLM technologies for cost-benefit analysis., • Deliver projects from scoping and R&D to production deployment and benefit measurement., • Follow and contribute to standards for code quality, R&D, and model development., • Engineer data for optimal AI application performance., • Advise peers and senior management on business and customer impact., • Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL., • Liaise with third-party partners and stay updated on field advancements and regulations., • You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences., • You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business., • PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent,, • Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting,, • Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results., • Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution., • Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git., • Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc., • Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors., • Knowledge of OO programming and software design, i.e., SOLID principles., • Knowledge and working experience of AGILE methodologies., • Familiarity with Databricks, and RAG application architecture a plus, • Competitive salary that reflects your skills, experience and potential., • Discretionary bonus scheme that recognises your hard work and contributions to esure’s success., • 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday., • Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances., • Company funded private medical insurance for qualifying colleagues., • Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members., • We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources., • Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities., • Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues., • We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.

Senior DevSecOps Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold commitment for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We are recruiting a Senior DevSecOps Engineer to join our Technology function on a permanent basis. In this role, you’ll design, build and secure our cloud platforms and delivery pipelines. You’ll embed security into how our teams build and run software, automate controls wherever possible, and help improve our overall security posture. You’ll also support and mentor junior engineers, helping to grow strong DevSecOps capability across the business. What you’ll do: • Design, build and secure AWS cloud environments using security best practice, • Create and manage Infrastructure as Code using Terraform, • Secure Kubernetes platforms, including clusters, workloads, networking and secrets, • Embed security controls into CI/CD pipelines, • Automate security controls and fixes to reduce manual work, • Work with engineering teams to fix vulnerabilities at pace, • Operate and improve cloud security tooling, including Wiz, • Support audits, threat modelling and security reviews, • Strong hands-on experience in DevSecOps, cloud security, or platform security, • Practical experience with AWS, Terraform and Kubernetes security, • Knowledge of CI/CD security tools such as SAST, DAST, SCA and secret scanning, • Experience automating security using scripts, pipelines or APIs, • Familiarity with cloud security platforms such as Wiz (or similar), • A solid understanding of secure software delivery and DevOps ways of working, • Competitive salary that reflects your skills, experience and potential., • Discretionary bonus scheme that recognises your hard work and contributions to esure’s success., • 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday., • Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances., • Company funded private medical insurance for qualifying colleagues., • Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members., • We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources., • Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities., • Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues., • We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.

A technology-focused governmental organization is seeking a Senior DevOps Engineer in Manchester. The ideal candidate will mentor engineers, support CI/CD pipelines, and foster a culture of DevOps. A strong background in AWS and automation is required, alongside the ability to drive adoption of best

If you’re a passionate DevOps Engineer looking for your next challenge, we’d love to connect. AWS, automation, and delivering secure, scalable cloud platforms? Join us at. Build and automate secure AWS environments following best practices.

A leading financial services company is seeking a Platform Engineer to design and develop cloud-native systems.The role emphasizes enhancing infrastructure, providing mentorship, and collaborating with cross-functional teams to meet business needs.The ideal candidate will have extensive experience w

A government department is seeking a Principal Data Engineer to lead the delivery of data products and manage cloud cost analysis. This role will focus on optimizing data capabilities across AWS and Azure, ensuring quality-led reporting using advanced data engineering practices.

A leading technology firm seeks a passionate DevOps Engineer in Croydon to build and automate secure AWS environments. The ideal candidate will have over 5 years of AWS experience, strong skills in Terraform, Linux, and Docker, and the ability to thrive in a collaborative, agile environment.

Head of Engineering Location: South Of England Salary: £85k–£95k (based on experience) plus Benefits Reports to: CTO Company Overview: Our client is a scale-up SaaS technology company that provides services in the Telecoms, ISP, and MSP sectors. They are making significant ground in their growth strategy and are seeking to hire a Head of Engineering to help them achieve their goals. Role Overview We are seeking an experienced Head of Engineering to lead and take full ownership of engineering delivery, team performance, and operational excellence across our client’s software development organisation. Reporting to the CTO, this is a high-impact leadership role that sits at the intersection of technical credibility and engineering management. You will be responsible for building a high-performing engineering function, establishing clear accountability, and ensuring the organisation delivers software in a structured, predictable, and scalable way. Key Responsibilities * Lead and take accountability for the performance of the engineering function, fostering a high-performing, professional, and delivery-focused culture. * Set clear expectations around ownership, accountability, and engineering standards across all teams * Coach, mentor, and develop engineers, raising the overall capability and consistency of the function including performance management, addressing underperformance where required and recognising strong contribution * Own the delivery of the engineering roadmap, ensuring work is delivered predictably, on time, and to a high standard including overseeing sprint planning, backlog management, and development workflows to ensure consistent execution * Monitor delivery performance (velocity, cycle time, bottlenecks) and take action to improve outcomes * Define and implement consistent engineering processes across teams, including: * Agile delivery (Scrum / Kanban) * Code review practices * Testing frameworks and QA processes * Release management and deployment * CI/CD workflows * Set and enforce clear standards for code quality, documentation, and maintainability * Although this role is not hands-on coding, strong technical credibility is essential. So, an earlier career as a software engineer, with experience building modern web applications (Node.js, TypeScript, Vue.js or similar). * Comfortable engaging on technical design, reviewing architecture, and supporting complex challenges across AWS, Docker, and event-driven or serverless systems. * The Head of Engineering directly leads two Development squads and one QA squad, with accountability for delivery, quality, and performance across the engineering function. * Work closely with the CTO to align engineering execution with technical strategy and partner with Product to ensure roadmap priorities are delivered effectively * Coordinate with DevOps and Support to ensure smooth deployment, platform reliability, and strong operational feedback loops Success Measures (6–12 Months) * A well-structured and accountable engineering function with clear ownership at all levels * Consistent and predictable delivery of roadmap commitments * Improved engineering performance, velocity, and delivery confidence * Strong and consistent engineering standards across teams * Reduced reliance on the CTO for day-to-day delivery oversight * A motivated, engaged, and high-performing engineering tea Essential Skills & Experience * Proven experience leading engineering or development teams in a SaaS or software environment * Experience managing multiple teams or squads * Demonstrated ability to improve delivery, processes, and team performance * Experience working closely with Product in an agile environment * Strong organisational and leadership skills, with the ability to bring structure to complex environments * A leadership style that sets clear expectations, drives accountability, and improves performance Personal Attributes You should be highly organised and operationally disciplined as well as having a demonstrable leadership presence with the ability to build trust and credibility quickly. We need a leader that is pragmatic, delivery-focused, and results-oriented. You should be experienced and comfortable setting and enforcing high standards and able to operate effectively in a fast-moving, evolving SaaS environment