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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.

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.

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.

What you will do as a Senior ML Engineer • Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics., • Own the ML lifecycle from data preparation through training, evaluation, and deployment., • Implement and maintain MLOps workflows for continuous integration and delivery of ML models., • Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability., • Contribute to architecture decisions for ML pipelines and data flows., • Apply secure coding and configuration practices in line with compliance standards., • Mentor junior engineers and share best practices across the team., • Support innovation by researching emerging ML techniques and tools. What you’ll bring • Proven experience developing and deploying machine learning models in production environments., • Proven experience with the OpenCV framework and various object detection models, including YOLO, RCNN, and Vision models, along with a clear understanding of when to apply each model., • Proficiency with object detection concepts. Experience in video analysis, particularly optical flow and object tracking., • Solid knowledge of Optical Character Recognition (OCR) models, with the ability to fine-tune these models using custom datasets., • An understanding of how to measure the accuracy of text extractions through metrics like Character Error Rate (CER) and Word Error Rate (WER) is also crucial., • Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch)., • Understanding of ML architectures, hyperparameter tuning, and performance optimisation., • Experience with MLOps tools and CI/CD pipelines., • Familiarity with data engineering concepts (ETL, data pipelines, SQL)., • Ability to analyse complex data and communicate insights effectively., • Strong problem-solving skills and attention to detail., • Excellent collaboration and stakeholder engagement skills. Core areas (must have): • ML Development Expertise: Hands-on experience building and deploying ML models., • Lifecycle Ownership: Ability to manage ML workflows from design to production., • Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling., • Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration., • Governance & Compliance: Familiarity with secure coding and quality assurance standards., • Collaboration & Mentoring: Ability to work across teams and support junior engineers., • Continuous Improvement: Commitment to learning and applying emerging ML techniques., • Desirable:, • Experience with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes)., • Exposure to big data technologies (Spark, Hadoop) and Apache tools., • Knowledge of NLP, computer vision, and deep learning architectures., • Familiarity with Agile and DevOps practices., • STEM degree or equivalent experience in AI, Data Science, or related fields., • Industry certifications (e.g., TensorFlow Developer, AWS Machine Learning Specialty)., • Experience working in secure or regulated environments. SC clearance is manadaorty for this role

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 Aveni is building next-generation AI systems for UK financial services, where safety, compliance, and trust are non-negotiable. We're hiring a Senior Software Engineer to work on AI and agentic platform capabilities that power intelligent, automated workflows for financial services. This is a high-impact role building foundational technology that underpins Aveni's AI-first strategy. Your work will focus on: You'll work on systems that govern how AI agents behave in regulated financial contexts, designing and implementing policy enforcement, safety controls, behavioural monitoring, and evaluation frameworks. This work sits at the intersection of platform engineering, AI/ML systems, and compliance-by-design architecture. You'll be joining at a pivotal moment as Aveni scales from startup to enterprise-grade AI FinTech, working on problems that matter: making AI safe, auditable, and trustworthy in high-stakes financial environments. What You’ll Be Doing Build Production-Grade Systems • Design and implement scalable Python services powering AI-driven workflows, • Develop resilient, observable systems with strong error handling and compliance traceability, • Work within a serverless, event-driven AWS architecture Own Delivery End-to-End • Take ownership of features from design through to production, • Collaborate with Product, AI Platform, and Compliance teams, • Contribute to sprint planning, estimation, and delivery Shape AI & Agentic Systems • Build intelligent workflows using LLMs and agentic architectures, • Integrate AI models into production systems, • Design guardrails, policy enforcement, and behavioural monitoring for AI agents Mentor & Elevate the Team • Support and guide junior and mid-level engineers, • Lead code reviews and promote engineering best practices, • Contribute to documentation, demos, and knowledge sharing Drive AI-Augmented Engineering • Use AI coding tools to accelerate development and improve quality, • Help define best practices for AI-assisted software engineering What We’re Looking For Must Have • Strong Python expertise in production environments, • Experience building cloud-native systems on AWS (Lambda, DynamoDB, S3, EventBridge), • Experience working with LLMs or AI/ML systems, • Strong understanding of APIs, async systems, and scalable architecture Nice to Have • Experience with AI safety, guardrails, or policy enforcement, • Background in agentic systems or autonomous workflows, • Experience in financial services or regulated environments, • Familiarity with Node.js / TypeScript, Terraform or CDK, • Knowledge of observability tools and ML fundamentals You’ll Thrive If You Are • Pragmatic and able to balance speed with long-term quality, • Curious about AI, especially safety and responsible usage, • Comfortable working in a fast-moving scale-up environment, • A strong communicator who can explain complex ideas clearly, • Passionate about mentoring and raising team standards Career Growth This role offers a clear path into Staff or Lead Engineer positions, where you’ll: • Drive architectural decisions across multiple teams, • Own complex, cross-cutting AI systems, • Shape Aveni’s long-term AI platform strategy 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

Junior Systems/Production Engineer One Big Circle – Bristol Full-Time 37.5 hours over 5 Days £26,5k - £30k About One Big Circle Formed in 2017, One Big Circle is a fast-growing Bristol technology company that provides “Intelligent Video” solutions. We focus entirely on solving real-world industry problems by fusing new technology in the field of Video, IOT, Cloud and AI providing end to end solutions which allow our customers to dramatically improve their operational efficiency and safety. Our culture is one of high-quality technical delivery and we work at a speed that many industries are unaccustomed to; we have done this by building a team dynamic that challenges and empowers our people and creating an environment where everyone contributes and learns. We are growing, profitable and have ambitious plans to continue expansion in and beyond our existing markets. We are looking for a proactive and motivated individual to join our team to support the business in further growing our flagship award-winning product: AIVR. AIVR (Automated Intelligent Video Review) is a state-of-the-art video technology system used by thousands of people in the rail industry. It is relatively new to our market, rapidly evolving and there are lots of people excited about what more it can achieve. We have built a culture where people feel supported, included, and empowered to do their best work. Our team is growing, and we’d love for you to be part of the journey. Role Summary We are looking for a Junior Systems Engineer to bolster our team. This role will be working between the systems and production departments and based out of our Bristol office. This role also requires travel to sites in any part of the UK. No professional experience or qualification is required for this role but you will need some pre-existing interest and some personal exploration into a related engineering field. The systems you will be working with might typically consist of technology such as line scanning and machine vision cameras, lighting, laser measurement systems, thermal sensors, industrial embedded Linux, IP networking, GPS/4G/5G, CCTV. Responsibilities • Building, configuring and testing systems ranging from portable camera equipment to complex bespoke on-train installations., • Assist with on-site commissioning and maintenance., • Carry out work in office and on-site in a safety conscious and professional manner., • Assist with product development - work with other departments to resolve issues with our products and develop improvements., • Carry out asset management processes and procedures., • Carry out research in order to make well informed technical decisions., • Communicate proactively with other team members to provide encouragement, identify problems, create solutions and unblock technical issues. Personal Qualities and Experience • Self-motivated with good communication and organisational skills., • Strong delivery-focused work ethic., • Flexible and adaptable style of approach but with meticulous and systematic attention to detail when it matters., • Written communication skills, including document/specification comprehension and writing., • A strong interest in either electrical design, mechanical engineering or IT., • Bonus: An interest in rail. Company Benefits Include: • Auto enrolment Pension Scheme, • 25 Days Holiday plus bank holidays, • Life Assurance, • Private Healthcare Cover, • Work related training courses as required, • Complimentary snacks and refreshments including fresh fruit, • Office-centric role, • Access to Bike to Work Scheme, • Secure bike storage and shower facilities, • Social events How to Apply Join an award-winning team, named ‘The Sunday Times Best Medium-sized Technology Company 2025’. At One Big Circle, you’ll be part of a fast-growing team where your ideas and contributions are truly valued. Please send your CV and covering letter to By applying for this role, you understand that we will process your personal information in accordance with our privacy policy, accessible at___ Successful applicants will be required to pass a BPSS (Baseline Personnel Security Standard) check. Find out more about us at

Senior Applications Engineer - Connect Fibre Working from Home £65,000 per annum plus benefits The Company Founded in 2020 by a team of like-minded, very experienced telecoms professionals, we have one vision; to deliver. We are a rapidly growing fibre broadband business with a bold plan for the rapid rollout of multi-gigabit full-fibre broadband networks and services to communities across the UK. We are seeking a motivated and detail-oriented Application Engineer to join our dynamic team supporting the development, implementation, and maintenance of software applications. Working closely with other engineers and cross-functional teams you will ensure the successful delivery of high-quality solutions that meet business and customer requirements. This is an excellent opportunity to play a big part in our transformation plans. The Role • Design, develop, test and implement backend services and integrations using Python and modern frameworks., • Build and maintain frontend applications using PHP, JavaScript/TypeScript and frameworks like Angular or Vue., • Lead development projects through the entire lifecycle and mentor junior engineers., • Troubleshoot and resolve complex technical development issues, providing timely and effective solutions., • Contribute to the creation and maintenance of technical development documentation, including user guides, system documentation, and design specifications., • Conduct regular code reviews to maintain code quality, performance and adherence to coding standards., • Work closely with other engineers, product owners, and other stakeholders to understand project requirements and contribute to the design and development process., • Suggest and implement improvements & best practices to the development process, ensuring efficiency and quality in application delivery., • Working closely with the wider Technology team to align system direction and deliver improvements., • Helping shape technical decisions and taking part in solution design discussions. The Candidate A developer with a proven track record in supporting successful development projects, involved in the full development lifecycle from analysis to development. • 5+ years in software development or application development., • Strong skills in at least one programming language - Javascript, Python, PHP., • Understanding of web technologies (HTML, CSS, JavaScript) is a bonus., • Experience with Wordpress and WooCommerce would be beneficial., • Familiarity with software development methodologies (Agile, Scrum, Devops etc.) and version control., • Experience of Cloud infrastructures Azure or AWS., • Working experience of API and REST API integrations., • Strong analytical and problem-solving skills to identify and mitigate development risks effectively., • Experience of development and integration of SAAS applications, Hubspot beneficial but not essential., • Knowledge of geopandas, numpy, node or SQL is desirable but not essential., • Experience with GIT and Docker processes., • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders., • Strong problem solving skills and leadership abilities. Personal Profile & Working Conditions Location: Candidates must be currently resident in the UK and with either UK citizenship or indefinite leave to remain. Candidates will: ▪ Be self-starters, able to demonstrate enthusiasm, tenacity and the ability to prioritise tasks in a rapidly changing environment. ▪ Be able to work effectively in a remote/hybrid working environment with minimal day-to-day supervision. ▪ Be able to demonstrate the ability and willingness to work in a dynamic, rapidly growing organisation. ▪ Be able to collaborate effectively across the organisation. Effective communication is essential. Connect Fibre operates a hybrid working model with main emphasis on home working with intermittent visits to company office locations, in particular the main office in London. The Rewards • Salary: £65,000 per annum, • 25 days holiday plus Bank Holidays plus Birthday Off (pro-rata), • Company Pension Contribution, • Private Medical and Dental package, • £1,500 Employee Referral Scheme, • Family Friendly Support Package, • Influence key transformation projects, including OSS integrations and a new eCommerce platform, in a growing UK broadband business., • Flexible remote or hybrid working, with regular in‑person workshops and very occasional team meetings in London to support collaboration and alignment. Connect Fibre offers excellent team and business building opportunities. Please see for more information on our exciting new business! Interested applicants should, in the first instance apply here or send an up-to-date CV to: Paul Blunt at Connect Fibre . All applications will remain strictly confidential.