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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. Please note this is a training course and fees apply

Bruntwood SciTech, owns and manages the largest portfolio of city wide innovation ecosystems in the UK with 10 campuses across Manchester, Leeds, Liverpool, Cheshire, Birmingham, and Cambridge and 31 city centre innovation hubs. We craft the specialist environments that science, technology and innovation businesses need to form, scale and grow. We create and nurture these innovation ecosystems, supported by our in depth sector knowledge, connections and expertise. Here are some examples of our portfolio: Have a look at these videos to give an insight into who we are: You will be part of the wider UK Bruntwood SciTech innovation team who are responsible for developing the right innovation ecosystems and curating the programmes of support to grow and scale 1500 life science, deep tech, digital and innovation businesses across the campus network. Alderley Park is the main hub for this role, so you'll predominantly be based there with some travel to Manchester City Centre to visit our HQ and support our portfolio based close to the Universities on Oxford Road: Manchester Science Park & City Labs. Job purpose: You'll support the commercial growth and development of the Alderley Park ecosystem by attracting and supporting high growth businesses. This will drive the growth of Alderley Park and Manchester portfolios in the main, however this role has the opportunity to contribute to the wider development and success of our other regions. What you'll be doing: Commercial: Work closely with the commercial team to build the pipeline and capture businesses. Add significant value to the pitch process for new customers and provide support to existing customers in their growth with the company. Market Intelligence: Maintain a comprehensive understanding of the life science and tech sector and forge relationships with businesses across your geographic region to coalesce them in the cluster. Business Growth: Define business growth and support needs of portfolio businesses. Identify and manage a network of external partners to deliver growth support to portfolio businesses and attract new businesses into our clusters. Leverage Triple Helix: Lead and leverage senior relationships with universities, business schools, trade bodies, and investment organisations in the region to maximise growth opportunities for portfolio businesses. Sit on relevant steering and advisory boards as appropriate. Cultivate Investment: Build and manage a robust pipeline of potential investors, both domestic and international, with a keen interest in science and tech disciplines relevant to the cluster. Broker investment to support portfolio companies and growing the commercial SME pipeline. Budget and Reporting: support the Chief Scientific Officer in the annual innovation delivery plan and budget and lead on quarterly progress reports across the business. Lead the evaluation of return on investment of different activities within the plan and their success in generating growth for the business. Contribute to monthly KPI flash reports for the region and utilise digital tools (including Salesforce and PowerBI) to track progress of businesses. Proposition Development: Work closely with academic and industry partners to create a compelling value proposition for customers and investors, highlighting the unique advantages and opportunities offered by Bruntwood SciTech clusters. You will support the development of a strong brand and reputation for Bruntwood SciTech innovation provision. Support proposition development in Bruntwood SciTech's growing science locations such as Birmingham and London. What we're looking for: Being a credible expert in life science/medtech innovation is important, however, the ability to pivot and support businesses who operate in; energy, tech, digital and professional services is equally beneficial Experience of business development and building and managing effective strategic partnerships. Commercially aware, KPI driven, and able to work at pace. An understanding of the role of life sciences within the UK economy, with a keen interested in trends and developments within the field. Knowledge of key players and developments in the life science sector - within the region and nationally - and a strong personal network. Excellent presentation and networking skills and an interest in attending and hosting sectoral events. A collaborative team player and effective communicator, motivated by team success. An academic background within Life Sciences would be beneficial but not essential We really believe that if you're brilliant to work with, you deserve brilliant things in return: 28 days holiday plus you get your Birthday off work - and if that's not enough you can also buy & sell holidays too Bonus - based on individual and company performance 24 hours a year volunteer time - there are endless opportunities for you to get involved in supporting the causes that matter most to you Sabbatical of up to 12 months so you can take a career break after five years with us Healthcare cash plan for all colleagues, so you can claim back medical expenses like optical, dentist & physiotherapy. We also offer free private healthcare cover on an opt in basis too Life assurance cover for all colleagues Up to 8% matched pension scheme Discounts & cashback at leading retailers Enhanced maternity / shared parental leave - 26 weeks fully paid leave Interest free loans to pursue your passions and apply for up to £2000 towards learning a new skill On our careers page you'll find our benefits calculator, where you can select what benefits you'd use to calculate the savings you'd make. In addition to what to expect within the role and your benefits, it's good to know that you'll be working for a business that gives back - The Oglesby Charitable Trust has donated more than £30m since it started out in 2001. Supporting charities across Arts and Culture, Education, Environment, Medical Research and Social & Health Inequality. We'll do our best to get back to you within a week of your application, however if it has been longer than this please feel free to email for an update.