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About Thinqi At Thinqi, we're on a mission to revolutionise learning experiences globally. Our vision is to establish ourselves as a global authority in Learning Technologies, innovating to enhance the performance of both individuals and organisations. Through our innovative software solutions, we empower learning and drive growth, enabling organisations to cultivate knowledge, enhance skills, and achieve strategic objectives. We have a real passion for developing people, delivering a culture of opportunity, and providing our customers with innovative solutions that transform their organisation’s workforce capability. At Thinqi, we make a difference through transformation and development! This is a great opportunity for you to join our exciting journey and help us drive business change for organisations worldwide with our innovative brand of learning and development technology. About the role We’re looking for a talented DevOps Engineer to join our growing team to help deliver and support the technical foundations that power our Thinqi product which is used around the world. You’ll play a key role in maintaining a large estate of systems and cloud infrastructure, while working closely with engineering, operations, and customers to ensure everything runs smoothly. This is a hands-on role combining technical delivery, operational support, and continuous improvement. You’ll be trusted to work independently, think critically, and take ownership, while also collaborating across teams to deliver high-quality outcomes for our clients.. What you'll be doing DevOps & Cloud Engineering • Maintain and support a large estate of AWS cloud infrastructure., • Administer and integrate applications with our award-winning LMS., • Build, maintain, and improve infrastructure using Infrastructure-as-Code (e.g. CloudFormation)., • Help maintain a fit-for-purpose IT and hosting estate., • Identify, escalate, and support remediation of security incidents and vulnerabilities., • Work closely with engineering, operations, and project teams to meet delivery targets., • Liaise directly with customers and external suppliers to troubleshoot and resolve issues., • Use approved AI tools to support day-to-day operations, troubleshooting and documentation., • Apply critical judgement to AI-generated outputs, ensuring alignment with company standards., • ·Identify repetitive operational tasks suitable for AI-assisted automation., • Assess AI-driven recommendations for security, performance, and cost impact. What we're looking for Essential experience & skills • Experience as a DevOps Engineer or in a similar software or infrastructure role., • Strong Windows and Linux system administration skills (including shell scripting – Bash, PowerShell, etc.)., • Hands-on experience with cloud platforms, ideally AWS., • Experience with Docker and containerised environments., • Proficiency with version control systems (Git)., • Experience using Infrastructure-as-Code tools (e.g. CloudFormation)., • Working knowledge of SQL and NoSQL databases (e.g. PostgreSQL, MongoDB)., • Excellent attention to detail and a proactive, problem-solving mindset., • Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders. Nice to have • Experience using AI coding tools such as VS Code Copilot., • AWS SysOps Administrator certification (or equivalent)., • BSc in Computer Science, Engineering, or a related field. Please note: the successful candidate will undergo SC and NPPV Level 2 vetting. Please only apply if you feel you will pass the vetting requirements. Important things to consider about this role This role requires:- • UK residency and eligibility for security vetting, due to the nature of the systems we work with., • You’ll need to be flexible with working patterns at times to support system monitoring rotas. We aim to plan these in advance wherever possible., • You’ll be working in a fast-paced, high-responsibility environment within a growing business, so being comfortable prioritising and staying calm under pressure is important., • We value people who enjoy continuous learning, are curious about new technologies, and want to keep developing their skills as the industry evolves., • Collaboration is key, you’ll be working closely with a range of stakeholders to deliver the best outcomes for our users, customers and the wider business. Why join us? This is a fantastic opportunity for a talented DevOps Engineer to further their career with a growing EdTech and a proven team of world-class professionals. The role will let you work on meaningful projects that will positively impact end-users lives and careers. You’ll be working with a modern DevOps environment using the latest technologies including AI-assisted engineering and agents. Compensation & Benefits • Salary: £40,000-£50,000 dependant on experience, • Clear progression path to Senior DevOps Engineer roles for high performers, • Annual Leave: 25 days plus public holidays, • Pension scheme with employer contributions, • Modern tech stack and home office setup allowance, • Flexible Working: Core collaboration hours are 10:00am–2:30pm. DevOps Engineers are part of a monitoring rota covering early starts and late-afternoon support, • Parking: Discounted season tickets are available for car parking locally Location: Hybrid (Office located in Swansea, South Wales, UK) Type: Full-time

The Computer Vision online program from the Executive Education division of Carnegie Mellon University’s School of Computer Science. Computer Vision: Master the core computer vision skills advancing robotics and automation. ML)and all computer vision tools and techniques used in the real world.

A leading dental technology firm in the United Kingdom is seeking an Engineering Manager in Computer Vision / Machine Learning.

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This role leads high-impact initiatives using advanced computer vision and deep learning technologies at scale—powering sports experiences from elite organizations to local communities. Classical and deep learning-based computer vision. Machine Learning Engineering Manager | Computer Vision | Deep

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Emeritus is seeking a Program Facilitator for the Carnegie Mellon University Program Computer Vision: Master the core computer vision skills advancing robotics and automation. The Computer Vision online program from the Executive Education division of Carnegie Mellon University's School of Computer

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PhD in Computer Vision, Machine Learning, Robotics, or a related field. We are seeking a PhD Computer Vision Scientist with deep expertise in object detection, tracking, or related visual perception tasks.

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Have strong experience in machine learning and computer vision. Train and benchmark large-scale vision-language models for document extraction.