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  "job_description": "Junior Machine Learning Developer\n\nBristol\n\nFull- Time 37.5 hours over 5 days. Office centric from Bristol Office\n\n£25k - £30k\n\nAbout One Big Circle\n\nBe part of an award-winning workplace: The Sunday Times Best Medium-sized Technology Company 2025\n\nFormed 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.\n\nWe are growing, profitable and have ambitious plans to continue expansion in and beyond our existing markets.\n\nWe 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.\n\nAIVR has won dozens of awards and is recognised as the market leading solution, but we are building many more opportunities both in existing and new markets which will further accelerate our growth.\n\nWe 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.\n\nRole Summary An exciting opportunity to start a career with a diverse and fast-growing team, developing your skills on a variety of innovative projects.\n\nWe're looking for someone with a strong interest in Machine Learning (ML), Large Language Models (LLMs), and Artificial Intelligence (AI) more broadly to join our ML team. You don’t need to know everything from day one, but curiosity, a willingness to learn, and a hands-on mindset are key.\n\nResponsibilities\n• You will help create and test software within a skilled team that likes getting things done.\n• You will learn a range of current and new technologies from experienced software engineers.\n• You will be given increasing responsibility for elements of each project as you continue to prove yourself.\n\nThere is significant scope to adapt the exact role to your skills and interests, but in the first instance you will spend time developing, evaluating and improving ML models to detect and classify items within footage from video, thermal, and other sensors, under the supervision and guidance of senior engineers. You’ll also be involved in deploying new ML-based services into production environments.\n\nYou’ll gain experience of a range of relevant technologies such as:\n• Python for data science and ML\n• Computer Vision, including OpenCV\n• Model training, evaluation – accuracy, precision, recall, F1, dataset management\n• Object detection, image classification, segmentation, depth estimation, anomaly detection\n• Docker/containerisation.\n\nPersonal Qualities and Experience\n\nYou are someone who enjoys learning new skills, finding out things and also learning from mistakes. We’d like you to be reliable, curious, and ready to deal with problems and get them solved. We strongly encourage those from under-represented groups to be confident in applying to us.\n\nYou do not need to have any formal experience working in software, but you should be able to demonstrate your interest by having done something or worked on a ‘passion project’ yourself. You might have developed an object detection model, or built and trained an image classifier, or used OpenCV or similar to detect specific objects from a real-time feed, or some other relevant activity. You should have some familiarity with at least one general purpose programming language.\n\nYou will also be keen to contribute ideas to both the business development and the social side of the company.\n\nCompany Benefits Include:\n• Auto enrolment Pension Scheme\n• 25 Days Holiday plus bank holidays\n• Life Assurance\n• Private Healthcare Cover\n• Work related training courses as required\n• Complimentary snacks and refreshments including fresh fruit\n• Office-Centric role\n• Access to Bike to Work Scheme\n• Secure bike storage and shower facilities\n• Social events\n\nHow to Apply\n\nJoin an award-winning team, named ‘The Sun",
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