Trabajos audio en DronfieldCrear alertas

Job description Product Testers are wanted to work from home in the UK to fulfill upcoming contracts with local and international companies. We guarantee 15-25 hours per week with an hourly pay of between £18 / hr. and £32 / hr., depending on the In-Home Usage Test project. No experience required. There is no payment required in order to apply or to work as an In-Home Usage Tester. You don't have to buy products or pay for shipping, everything is paid by our company. In-Home Usage Testers are considered independent contractors, we pay weekly every Wednesday by direct deposit or by check. UK Product Testers is a consulting firm that specializes in product testing and product development work. We design and conduct In-Home Usage Testing (IHUT) in the UK and on the international stage. We provide actual user feedback in real-time to companies and market research firms to evaluate products to ensure proper product certification and greater market access. It is important to note that during your application process, reputable market research companies will determine your demographics and consumer profile to establish what products would be suitable for you to test. Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the representative sample needed. Participation in these product testing and consumer panels is always free, secure and private. In-Home Usage Testing is a quick, easy and fun way to make extra cash by telling big brands what you think about their upcoming products and services in the UK market. Main Duties : Properly document In-Home Usage Tests as instructed in the In-Home Usage Test Daily Schedule (screenshots, audio recordings, videos, product journal entries, etc.) Take care of the product being tested and use it responsibly Read and strictly follow the In-Home Usage Test Daily Schedule provided with each product testing project (may include tasks such as unpacking, reading instructions, journal entries, online or mobile feedback, usage of product for a c ertain amount of time, writing reviews, taking pictures, etc.) Some In-Home Usage Tests projects may require participants to use MFour’s Mobile In-Home Use Test Technology (cutting-edge smartphone technology to capture Point-of-Emotion® insights to gain unparalleled depth of responses) There are times when the product being tested may be discussed in a private chat room that is opened by a market research firm Write reviews as requested in the In-Home Usage Test Daily Schedule for each project Requirements : Ability to follow specific instructions Excellent attention to detail and curious spirit Be able to work 15-25 hours per week and commit to a certain routine Have access to a computer or smart phone and a reliable internet connection Have access to a digital camera or cell phone camera that takes pictures -Be honest and reliable -Good communication skills are an asset -18 years or older A paid Product Tester position is perfect for those looking for an entry-level opportunity, flexible or seasonal work, temporary work or part-time work. The hours are completely flexible and no previous experience is necessary. Benefits : Very competitive pay rate Weekly pay Work around your own schedule Learn about an exciting industry Telecommute (you can work from home, work or school) Most of the time you can keep the product you tested

Audio Visual Installation Engineer Location: Sheffield and Yorkshire area Reports to: Project and Installation Manager Salary: £32,000 to £37,000 per annum Job Type: Full-time, Permanent Are you an experienced AV Technician looking to step into a senior role with national projects, blue-chip clients, and cutting-edge technology? We're working with a dynamic and growing organisation at the forefront of delivering high-impact digital and audio-visual solutions within the automotive and retail sectors. Our client is seeking a Lead Audio Visual Technician to join their talented team and play a pivotal role in delivering AV installations that transform customer experiences across the UK. About the Role As Lead AV Technician, you'll be responsible for overseeing and carrying out installations of audio-visual systems at client sites nationwide. You'll work alongside a skilled in-house team and trusted subcontractors, ensuring all projects are delivered to the highest standards of quality, safety, and professionalism. You'll also play a key role in site surveys, service visits, programming support, and leading installation crews on-site. If you thrive in a hands-on, client-facing role and want to work with the latest AV technology - this could be the perfect opportunity for you. Key Responsibilities: Conduct site surveys and advise on AV hardware, software, and resource requirements Carry out first-fix cable installations and complete end-to-end AV system setup Lead on-site installations nationwide, maintaining a strong quality focus Brief and manage installation partners and subcontractors Make informed decisions around scope changes and risk management on-site Provide technical support including audio and lighting programming Deliver service visits in line with SLAs for key clients Assist with sourcing, vetting, and onboarding local installation engineers What the Client is Looking For: A minimum of 3 years' experience installing AV hardware Comfortable working on-site in a client-facing capacity Strong understanding of AV technologies including LCD/LED displays, video conferencing, video over IP, and video matrix systems Experience with control systems and programming for audio and lighting solutions Solid knowledge of IT networking and troubleshooting within AV environments Desirable: CSCS/ECS card holder IPAF and PASMA accredited Experience with Q-SYS, BI-AMP, and Crestron systems First aid qualified Full UK driving licenceWorking Hours: Monday - Friday, 8:30am - 5:00pm What's in it for You: £32,000 to £37,000 per annum 22 days annual leave + bank holidays (increasing with service) Company pension contribution Life assurance policy Employee discount benefits Fantastic exposure to major industry brands and high-profile projectsIf you're a technically skilled and self-motivated AV professional looking for your next challenge, this is a fantastic opportunity to join a forward-thinking business and grow your career in a leadership role. To apply, please send your CV outlining your relevant experience. We look forward to hearing from you! INDLS How to Apply: Interested candidates are invited to submit their CV and a cover letter detailing their relevant experience and qualifications to (url removed) or you can call on (phone number removed) # 207. Alecto Recruitment Limited is acting as an employment business for this vacancy. We thank all applicants who respond, but only that shortlisted will be contacted. Keywords: Senior AV Engineer, AV Installer, Audio Visual Engineer, Smart Home Engineer, Control4 Programmer, Crestron Programmer, Lutron Programmer, Networking Specialist, IP Network Engineer, Home Automation, Super-Prime Residential AV, AV Project Manager, High-End AV Engineer

Properly document In-Home Usage Tests as instructed in the In-Home Usage Test Daily Schedule (screenshots, audio recordings, videos, product journal entries, etc. Some In-Home Usage Tests projects may require participants to use MFour’s Mobile In-Home Use Test Technology (cutting-edge smartpho

Experience in the Audio Visual industry, with a strong background in AV systems and integration.

The University of Sheffield is seeking a Research Associate in Speech and Acoustic Sensing for Respiratory Health to advance acoustic foundation models for chronic lung disease screening. You will work within LungSight, leading ML research on audio data and collaborating with clinical partners in a multi-university setting. You will develop self-supervised learning techniques, handle large real-world datasets, and contribute to multidisciplinary efforts at the interface of AI and healthcare, #J-18808-Ljbffr

Role: AV Project Manager Location: Hybrid - Sheffield Head Office with UK-Wide Travel Salary: £55,000 Type: Permanent, Full-Time We are recruiting an AV Project Manager on behalf of an ambitious and growing AV business that genuinely values its people. The company has built a reputation for delivering high-quality solutions while maintaining a supportive, collaborative culture where individuals are trusted, respected, and given the opportunity to grow. The business is expanding steadily and is investing heavily in both its technology and its team. This role offers the chance to work on major new build and refurbishment projects, delivering innovative AV systems for a wide range of clients across the UK. The role is hybrid, with time spent working from the Sheffield head office, visiting project sites across the UK, and collaborating with internal teams. As an AV Project Manager, you will take full ownership of projects from handover through to completion, ensuring solutions are delivered on time, on budget, and to the highest standards. You will work closely with the Commercial, Design, Engineering, and Support teams, as well as with main contractors, consultants, and client stakeholders, to ensure every project is carefully planned and delivered successfully. This role is particularly focused on new build and major refurbishment environments, where strong coordination, communication, and technical understanding are essential. The company is looking for a confident and experienced AV Project Manager who enjoys working in a fast-moving environment and takes pride in delivering projects that exceed client expectations. • Take ownership of AV projects following commercial handover, managing delivery through to completion, • Develop clear project plans, timelines, and milestones in collaboration with clients and contractors, • Coordinate internal engineering and installation teams to ensure projects are properly resourced, • Work closely with procurement and stock teams to ensure equipment is ordered and delivered in line with project schedules, • Attend project kick-off meetings and conduct regular site visits to monitor installation progress, • Oversee quality control, commissioning readiness, and final client handover including documentation and training, • Manage project budgets, variations, risks, and change requests throughout the lifecycle of each project, • Maintain strong relationships with clients, contractors, and consultants, • Motivate and support installation teams while resolving any technical or logistical challenges that arise, • Provide clear and consistent project reporting to internal stakeholders, • Proven experience working as an AV Project Manager within the professional AV industry, • Strong technical understanding of AV systems including video distribution, projection, control systems, DSP, audio systems, large format displays, lighting integration, and building systems, • Experience managing new build or large refurbishment AV projects, • Strong ability to manage budgets, timelines, risks, and project changes, • Excellent communication skills with the ability to work confidently with both technical teams and client stakeholders, • Organised, detail-focused, and comfortable managing multiple projects simultaneously, • Experience working with project or design tools such as AutoCAD or Visio would be beneficial, • Familiarity with AVIXA standards and certifications (CTS, CTS-D, CTS-I) would be advantageous, • Experience using platforms such as Salesforce is helpful but not essential, • Full UK driving licence This is a business that is growing for the right reasons. The leadership team believes that great projects start with great people, and they have built a culture where employees are supported, trusted, and encouraged to develop their careers. You will be joining a team that works collaboratively, celebrates success, and takes real pride in delivering exceptional AV projects. If you are an experienced AV Project Manager looking for a role where you can make a real impact within a forward-thinking and people-focused company, this opportunity is well worth exploring. #J-18808-Ljbffr

The University of Sheffield invites applications for a Research Associate in machine learning for speech and audio, to work on the LungSight project in the School of Computer Science. A PhD or equivalent research experience is required, with strong ML/DL experience and essential expertise in speech/audio processing. Experience with SSL, foundation models or Transformers is highly relevant. You will lead ML research on an acoustic foundation model for respiratory health, using real-world speech, #J-18808-Ljbffr

A leading provider of audio-visual solutions in the UK is seeking an AV Design Engineer to design high-quality AV systems for various installations. In this role, you will collaborate closely with sales and project teams to ensure optimal performance. Candidates should have a strong understanding of AV technologies, experience in AV system design, and familiarity with tools like AutoCAD. The position offers an innovative and collaborative environment, with opportunities to work on impactful projects throughout the UK. #J-18808-Ljbffr

Enterprise client in the UK seeks Welsh-speaking coding experts with JSON expertise to evaluate AI-generated outputs in audio form.

Location: Dinnington, Sheffield Contract Type: Full-time, Permanent Reports To: Senior Leadership Team Salary: £36,500 + growth bonus EDExams is a secure, state-of-the-art online examination, invigilation, and diagnostic assessment ecosystem engineered to empower institutions worldwide. Our platform provides a fully managed, end-to-end digital testing environment that upholds absolute integrity, security, and operational efficiency while delivering an intuitive, stress-free experience for candidates, assessors, and administrators alike. This role represents a truly unique opportunity within our organisation: while EDClass actively educates, mentors, and prepares learners through their Functional Skills and GCSE learning journeys, EDExams steps in to finalise and close that critical cycle—delivering the formal assessments, diagnostic milestones, mocks, and final high-stakes examinations. As our Operations and Examinations Manager, you will hold complete accountability for the entire examination and assessment lifecycle, ensuring absolute compliance with JCQ regulations, Functional Skills standards, and awarding organisation criteria. You will be at the forefront of administering, proctoring, and offering dedicated support on our brand-new platform. As we scale, this new platform is evolving into a deeply client-facing solution, placing sophisticated administrative autonomy, transparent real-time monitoring, and bespoke controls directly into the hands of our clients. The entire assessment ecosystem is delivered totally online and remotely, with the core operational engine, leadership, and quality assurance centrally anchored from our headquarters in Dinnington, Sheffield. • Bespoke Client Scoping: Engage directly with institutional leaders, awarding organisations, test centres, and employers to evaluate their operational workflows, timetable constraints, cohort volumes, and technical infrastructure., • Assessment Specification Analysis: Thoroughly deconstruct syllabus and specification guidelines across diverse disciplines—ranging from linear written papers and practical task criteria to multiple-choice knowledge tests—ensuring testing setups mirror the intended assessment objectives., • Access Arrangements and Reasonable Adjustments: Interpret candidate medical and educational evidence to configure bespoke access arrangements (e.g., extra time, digital reader/scribe provisions, coloured overlays, supervised rest breaks) strictly adhering to regulatory guidelines., • Tailored Platform Deployment: Translate institutional needs into tailored assessment sessions on our brand-new platform, configuring white-label branding, custom question types, bespoke proctor-to-candidate ratios, and cohort-specific security thresholds., • SLA Alignment and Client Consultation: Act as the consultative expert, ensuring client Service Level Agreements (SLAs) match qualification compliance realities while providing practical, stress-free solutions for both administrators and candidates., • Complete Academic Progression and Mocks: Finalising the learning cycle for GCSE and Functional Skills candidates, administering advanced-level qualifications, and delivering high-volume remote mock series that mirror formal test-day conditions., • Vocational, Technical and Applied Competencies: Powering diverse technical qualifications, practical assessment units, set tasks, and foundational skills assessments that unlock career progression., • Critical Workplace Health, Safety and Environmental Standards: Assessing vital site-safety credentials, environmental compliance benchmarks, and industrial engineering competencies., • Public Safety, Security and High-Risk Operational Roles: Delivering rigorous knowledge testing for crowd control, event security, threat awareness, conflict management, and civil enforcement disciplines., • Healthcare, Medical and Emergency Response: Administering workplace first aid qualifications, paediatric life-support testing, and specialist medical terminology examinations., • Wellbeing, Safeguarding and Compliance: Safeguarding assessments, mental health awareness, food hygiene supervision, and corporate compliance testing., • Corporate, Diagnostic and Baseline Benchmarking: Pre-enrolment evaluations, enterprise skill audits, and tailored professional development certifications., • Administration on Our Brand-New Platform: Full operational handling of digital test setup, candidate registration, secure distribution, and rapid results processing via an advanced, intuitive management system., • Live Online Proctoring and Invigilation: Cutting-edge remote proctoring tools, concurrent virtual room monitoring, and multi-tier oversight ensuring uncompromising equity, security, and integrity., • Dedicated Platform Support and Customer Care: Expert assistance for candidates and institutional administrators, resolving technical questions in real time and providing step-by-step guidance to ensure a seamless, stress-free user journey., • Evolving Client-Facing Architecture: Advanced administrative visibility, intuitive custom workflows, and white-label branding options giving clients direct, real-time control over their testing operations., • Rigorous Security Infrastructure: Secure browser locking, multi-feed audio/webcam/screen monitoring, multi-factor identity verification, and complete regulatory alignment., • Actionable Analytics and Reporting: Comprehensive cohort reporting, audit logs, and performance data providing clear, actionable insights for institutional decision makers., • Hold single-point operational accountability for the end-to-end examination, diagnostic, and mock assessment lifecycle across all client accounts on our brand-new platform., • Oversee the complete operational handover from EDClass's instructional cohorts to EDExams' live assessment environments, taking full ownership of finalising the qualification cycle for Functional Skills and GCSE learners., • Consult with clients to capture assessment specifications and individual access arrangement requirements, translating them into configured sessions on the platform., • Serve as the operational bridge as the new platform shifts to a more client-facing model, onboarding client administrators and driving adoption of self-service management tools., • Manage client contracts and Service Level Agreements (SLAs), acting as the trusted operational liaison for client leads, assessment heads, and centre administrators., • Establish and drive the annual online examination cycle, setting operational service standards, delivery milestones, and measurable KPIs., • Provide regular compliance, audit, and performance assurance reports to the Compliance Manager and Senior Leadership Team (SLT)., • Lead, coordinate, and participate in active online proctoring across high-stakes exam sessions, ensuring constant vigilance and integrity., • Line-manage, mentor, and schedule our core and sessional team of remote online invigilators and live proctors across early morning, evening, and weekend shifts., • Ensure invigilators maintain a calm, discreet, yet authoritative virtual presence across concurrent online testing rooms to deter malpractice without intimidating candidates., • Perform continuous quality checks, audit recorded exam sessions, and evaluate real-time intervention practices., • Deliver and oversee first-class, on-demand support on the new platform for candidates and client administrators during live testing and onboarding., • Ensure proctoring and support personnel display genuine sensitivity to test-related anxiety, providing empathetic, professional guidance to candidates., • Rapidly troubleshoot and de-escalate technical, candidate, or logistical issues in real time to ensure uninterrupted exam delivery., • Maintain full accountability for adherence to JCQ regulations, Functional Skills assessment standards, awarding organisation criteria, and Ofqual requirements across all digital test sittings., • Ensure the integrity of assessment delivery, including secure asset distribution, strict verification of access arrangements, and compliant retention of digital records., • Lead investigations into suspected malpractice or technical anomalies, compiling comprehensive digital audit logs, session recordings, and factual evidence reports for awarding bodies., • Maintain complete operational readiness for external quality verifications, centre audits, and unannounced inspections., • Ensure that all Standard Operating Procedures are created and regularly reviewed for the business. #J-18808-Ljbffr

Posting Start Date: 24/09/2026 Job Id: 3040 School/Department: Computer Science Work Arrangement: Full Time (Hybrid) Contract Type: Fixed-term Salary per annum (£): £38,784 - £42,254 Closing Date: 01/11/2026 We are seeking a postdoctoral research associate to join LungSight, a multidisciplinary project developing low-cost, non-invasive audio-visual AI for earlier identification of chronic lung disease. The project aims to support a shift from reactive, clinic-based diagnosis towards proactive home screening using everyday devices such as smartphones, tablets and home computers. Based in the School of Computer Science at the University of Sheffield, you will lead the machine learning research on acoustic foundation models for respiratory health. You will work with large-scale real-world recordings of speech, breathing and cough, developing self-supervised learning and foundation-model approaches that are robust to noise, demographic variation and different recording environments. You will also contribute to clinically informed acoustic biomarkers and to the integration of audio with visual and clinical information. LungSight is a multi-university collaboration involving collaborators from the Manchester Metropolitan University, the University of Southampton, the University of Cambridge, the University of Leicester and the University of Leeds, alongside NHS and third-sector partners. This post will work particularly closely with a complementary PDRA at Southampton, whose research will focus more strongly on clinically informed acoustic feature engineering, while the Sheffield post has a stronger machine learning and representation learning focus. The role offers opportunities for high-quality publications, open research outputs, clinical and stakeholder engagement, and career development at the interface of AI and healthcare. • Develop and evaluate domain-adapted acoustic foundation models for respiratory health using speech, breathing and cough recordings., • Curate, pre-process and analyse large-scale real-world audio datasets, including sensitive healthcare and helpline recordings processed within appropriate secure data environments., • Investigate state-of-the-art self-supervised learning approaches, including Transformer-based architectures, masked prediction and contrastive learning, for robust respiratory acoustic representation learning., • Fine-tune and validate models on labelled respiratory datasets and clinically relevant downstream tasks, assessing accuracy, generalisability and clinical utility., • Investigate potential confounding factors, demographic bias, background-noise effects and domain shift, and develop methods that improve trustworthy and equitable model performance., • Contribute to clinically informed acoustic modelling, working closely with the Southampton PDRA, who will lead complementary feature-engineering research; investigate how engineered physiological features can be combined with learned representations from the Sheffield machine-learning work., • Collaborate with project researchers to develop multimodal approaches combining acoustic, visual and clinical information for respiratory disease screening., • Work closely with researchers across the LungSight consortium, including Manchester Metropolitan University, Southampton, Cambridge, Leicester and Leeds, as well as clinical, NHS, patient/public and third-sector partners; participate in project meetings, joint research activities and dissemination., • Lead and contribute to high-quality research publications and presentations, support project reporting, and contribute to the supervision and development of students where appropriate., • Carry out other duties, commensurate with the grade and remit of the post Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply. A PhD (or equivalent research experience) in computer science,electronic engineering,speech/audio processing,machine learning,biomedical engineering or a closely related discipline. Essential Application/interview Strong research experience in machine learning or deep learning, with practical experience of developing models in Python using a modern framework such as PyTorch. Essential Application/interview Research experience in speech, audio, acoustic signal processing or closely related time-series analysis. Essential Application/interview Knowledge of modern representation learning approaches, such as self-supervised learning, foundation models or Transformer-based architectures. Essential Application/interview Ability to design rigorous experiments, analyse results critically, and evaluate model robustness, generalisability and potential confounding factors. Essential Application/interview Evidence of the ability to communicate research effectively through peer-reviewed publications, technical reports, presentations or equivalent outputs. Essential Application/interview Ability to work independently while contributing effectively to a multidisciplinary and multi-institutional research team, including close collaboration with researchers using complementary machine-learning and signal-processing approaches. Essential Application/interview Strong organisational skills, including the ability to manage research tasks, code and data reproducibly and deliver work to agreed milestones. Essential Application/interview Experience of multimodal machine learning, healthcare/biomedical AI, or analysis of respiratory/voice data. Desirable Application/interview Experience working with sensitive data, secure data environments, clinical collaborators, NHS partners or responsible AI/data-governance processes. Grade 7 £38,784 - £42,254 Full-time Two years Senior Lecturer in Medical Computing (project lead) None If you do not currently hold the right to work in the UK, you can find more information here to help determine your visa eligibility. Additional guidance is also available on the UK Visa & Immigration website . sheffield.ac.uk/cs For informal enquiries about this job contact Dr Ning Ma, project lead, at It is anticipated that the selection process will take place within a month of the job advert closing. This will consist of a formal interview. We plan to let candidates know if they have progressed to the selection stage within two weeks of the closing date. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in a new window). • A minimum of 41days annual leave, including bank holiday and closure days (pro rata) with the ability to purchase more., • Flexible working opportunities, including hybrid working for some roles., • Generous pension scheme., • A wide range of discounts and rewards on shopping, eating out and travel., • A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks)., • Recognition Awards to reward staff who go above and beyond in their role., • A commitment to your development access to learning and mentoring schemes, integrated with our Academic Career Pathways., • A range of generous family-friendly policies, • paid time off for parenting and caring emergencies, • access to menopause support in the workplace, • paid time off and support for fertility treatment, • and more We are a Disability Confident Leader (opens in a new window). If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the recruitment process. We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision ( www.sheffield.ac.uk/vision ) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone. The University of Sheffield Western Bank Sheffield S10 2TN © 2024-2025 The University of Sheffield #J-18808-Ljbffr

The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university. We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more. Find out more about our benefits (opens in a new window) and join us to become part of something special. We are seeking a postdoctoral research associate to join LungSight, a multidisciplinary project developing low-cost, non-invasive audio-visual AI for earlier identification of chronic lung disease. The project aims to support a shift from reactive, clinic-based diagnosis towards proactive home screening using everyday devices such as smartphones, tablets and home computers. Based in the School of Computer Science at the University of Sheffield, you will lead the machine learning research on acoustic foundation models for respiratory health. You will work with large-scale real-world recordings of speech, breathing and cough, developing self-supervised learning and foundation-model approaches that are robust to noise, demographic variation and different recording environments. You will also contribute to clinically informed acoustic biomarkers and to the integration of audio with visual and clinical information. LungSight is a multi-university collaboration involving collaborators from the Manchester Metropolitan University, the University of Southampton, the University of Cambridge, the University of Leicester and the University of Leeds, alongside NHS and third-sector partners. This post will work particularly closely with a complementary PDRA at Southampton, whose research will focus more strongly on clinically informed acoustic feature engineering, while the Sheffield post has a stronger machine learning and representation learning focus. The role offers opportunities for high-quality publications, open research outputs, clinical and stakeholder engagement, and career development at the interface of AI and healthcare. • Develop and evaluate domain-adapted acoustic foundation models for respiratory health using speech, breathing and cough recordings., • Curate, pre-process and analyse large-scale real-world audio datasets, including sensitive healthcare and helpline recordings processed within appropriate secure data environments., • Investigate state-of-the‑art self‑supervised learning approaches, including Transformer‑based architectures, masked prediction and contrastive learning, for robust respiratory acoustic representation learning., • Fine‑tune and validate models on labelled respiratory datasets and clinically relevant downstream tasks, assessing accuracy, generalisability and clinical utility., • Investigate potential confounding factors, demographic bias, background‑noise effects and domain shift, and develop methods that improve trustworthy and equitable model performance., • Contribute to clinically informed acoustic modelling, working closely with the Southampton PDRA, who will lead complementary feature‑engineering research; investigate how engineered physiological features can be combined with learned representations from the Sheffield machine‑learning work., • Collaborate with project researchers to develop multimodal approaches combining acoustic, visual and clinical information for respiratory disease screening., • Work closely with researchers across the LungSight consortium, including Manchester Metropolitan University, Southampton, Cambridge, Leicester and Leeds, as well as clinical, NHS, patient/public and third‑sector partners; participate in project meetings, joint research activities and dissemination., • Lead and contribute to high‑quality research publications and presentations, support project reporting, and contribute to the supervision and development of students where appropriate., • Carry out other duties, commensurate with the grade and remit of the post Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply. • A PhD (or equivalent research experience) in computer science,electronic engineering,speech/audio processing,machine learning,biomedical engineering or a closely related discipline. (Essential), • Strong research experience in machine learning or deep learning, with practical experience of developing models in Python using a modern framework such as PyTorch. (Essential), • Research experience in speech, audio, acoustic signal processing or closely related time-series analysis. (Essential), • Knowledge of modern representation learning approaches, such as self-supervised learning, foundation models or Transformer-based architectures. (Essential), • Ability to design rigorous experiments, analyse results critically, and evaluate model robustness, generalisability and potential confounding factors. (Essential), • Evidence of the ability to communicate research effectively through peer-reviewed publications, technical reports, presentations or equivalent outputs. (Essential), • Ability to work independently while contributing effectively to a multidisciplinary and multi-institutional research team, including close collaboration with researchers using complementary machine-learning and signal-processing approaches. (Essential), • Strong organisational skills, including the ability to manage research tasks, code and data reproducibly and deliver work to agreed milestones. (Essential), • Experience of multimodal machine learning, healthcare/biomedical AI, or analysis of respiratory/voice data. (Desirable), • Experience working with sensitive data, secure data environments, clinical collaborators, NHS partners or responsible AI/data-governance processes. (Desirable) Grade: Grade 7 Salary: £38,784 - £42,254 Work arrangement: Full-time Duration: Two years Line manager: Senior Lecturer in Medical Computing (project lead) Direct reports: None Right to work in the UK: If you do not currently hold the right to work in the UK, you can find more information here to help determine your visa eligibility. Additional guidance is also available on the UK Visa & Immigration website. Our website: sheffield.ac.uk/cs For informal enquiries about this job contact Dr Ning Ma, project lead, at It is anticipated that the selection process will take place within a month of the job advert closing. This will consist of a formal interview. We plan to let candidates know if they have progressed to the selection stage within two weeks of the closing date. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision. • A minimum of 41days annual leave, including bank holiday and closure days (pro rata) with the ability to purchase more., • Flexible working opportunities, including hybrid working for some roles., • Generous pension scheme., • A wide range of discounts and rewards on shopping, eating out and travel., • A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women's and Parent's networks)., • Recognition Awards to reward staff who go above and beyond in their role., • A commitment to your development access to learning and mentoring schemes, integrated with our Academic Career Pathways., • A range of generous family-friendly policies, • paid time off for parenting and caring emergencies, • access to menopause support in the workplace, • paid time off and support for fertility treatment, • and more More details can be found on our benefits page: sheffield.ac.uk/jobs/benefits We are a Disability Confident Leader (opens in a new window). If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process. We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision ( www.sheffield.ac.uk/vision ) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone. #J-18808-Ljbffr

Audio setup: capable of producing clear audio quality with no background noise. Welsh-Speaking JSON & Coding Experts for Audio Evaluations. An Enterprise client is seeking Welsh-speaking coding experts with JSON expertise to combine language fluency, customer service judgment, and technical evaluati

The role offers excellent opportunities to publish high-quality research, develop open and reproducible research software, work closely with researchers across several UK universities, engage with end users and clinicians, and build your research career at the interface of AI and health. Are you a researcher in machine learning for speech and audio who wants to develop technology for earlier detection of lung disease? We have an exciting opportunity for a Research Associate to join the LungSight project in the School of Computer Science at the University of Sheffield., You should have a PhD, or equivalent research experience, in a relevant discipline and strong practical experience in machine learning or deep learning. Experience in speech, audio or acoustic signal processing is essential. Knowledge of self-supervised learning, foundation models or Transformer-based architectures is particularly relevant. Experience in multimodal AI, healthcare or biomedical applications, or secure analysis of sensitive data would be advantageous. LungSight is developing a low-cost, non-invasive audio-visual screening approach for chronic lung disease using everyday devices such as smartphones, tablets and home computers. You will lead the Sheffield machine-learning research on a large acoustic foundation model for respiratory health using real-world recordings of speech, breathing and cough. You will explore self-supervised learning, Transformer-based architectures, masked prediction and contrastive learning, with a strong focus on robustness and generalisation across speakers, demographics, environments and recording conditions. You will curate and analyse respiratory audio datasets; develop, fine-tune and evaluate acoustic models; investigate confounding factors, background noise and demographic bias; and contribute to clinically informed acoustic modelling. A distinctive feature of the role is the close collaboration with a complementary PDRA based at the University of Southampton, whose post will focus more strongly on acoustic feature engineering. Together, the two posts will investigate how physiologically informed features and data-driven representations can be combined to improve accuracy, robustness and interpretability. LungSight is a multi-university collaboration involving the University of Sheffield, Manchester Metropolitan University, the University of Southampton, the University of Cambridge, the University of Leicester and the University of Leeds, together with NHS, clinical and third-sector partners. You will therefore work in a highly interdisciplinary environment spanning machine learning, speech and audio processing, computer vision, respiratory physiology and clinical medicine. We offer a highly competitive annual leave entitlement, a generous pension scheme, flexible working opportunities, and a strong commitment to staff development and wellbeing. We are committed to exploring flexible working opportunities which benefit the individual and University. #J-18808-Ljbffr

University of Sheffield is seeking a Postdoctoral Research Associate to lead machine learning research on acoustic foundation models for respiratory health within LungSight. You will work with large-scale speech, breathing and cough data, developing robust self-supervised and transformer-based approaches, and contribute to multimodal integration with visual and clinical information. The role offers opportunities for high-quality publications, collaboration across multiple universities, and #J-18808-Ljbffr

At Vivedia, we deliver technology that supports life’s most meaningful moments. We are the UK’s leading provider of audio-visual solutions for ceremonies and events, supporting venues, crematoria, councils and private organisations across the country. We’re now looking for an AV Design Engineer to join our growing team and help design innovative AV solutions for new and existing installations. As an AV Design Engineer, you’ll be responsible for designing reliable, high-quality AV systems for installations across the UK. Working closely with sales, project managers and technical teams, you’ll ensure every system is designed to deliver outstanding performance and user experience. • Design AV system solutions for new installations and upgrades, • Produce technical drawings, schematics and system documentation, • Specify appropriate AV hardware and equipment, • Work with internal teams to ensure designs meet customer and project requirements, • Ensure designs meet industry standards and best practices, • Strong understanding of AV technologies and system integration, • AV system design and specification, • Knowledge of signal flow and AV infrastructure, • Experience with design software such as AutoCAD or Visio, • Understanding of networking for AV systems, • Experience with large-scale or multi-site AV installations, • Industry certifications (e.g. AVIXA / CTS) Working at Vivedia means being part of a team that values innovation, reliability and collaboration. You’ll have the opportunity to work on projects that deliver meaningful experiences for people across the UK. Apply now and help us turn AV into something extraordinary. 💻 Tech & equipment provided 🍽 Free tea, coffee & fruit 🎉 Company events & team building 💖 Customer First – Families and customers are at the heart of everything we do 🛡️ Dependable – We respond fast, get it right first time, and do what we say 😊 Friendly – Professional, human, and collaborative 💡 Smart – Experts in our field who innovate and share best practice 🤝 Commercial – Honest, value-driven partnerships that put service before profit #J-18808-Ljbffr

Technical Sales Engineer Location: UK - Remote (Regular UK Travel) An exciting opportunity has arisen for a Technical Sales Engineer to join a specialist electronics organisation supplying and manufacturing high-reliability electronic components for demanding applications across aerospace, defence, space, rail, industrial, audio and other harsh-environment markets. The company has over 50 years of technical expertise and provides a broad portfolio of passive, interconnect, power, magnetic, optoelectronic, semiconductor and electromechanical components. Working with leading manufacturers and customers across highly regulated industries, the business combines strong technical knowledge with a consultative approach to customer support and design-in activity. This is a customer-facing technical sales role supporting customers and internal sales teams across the UK. The successful candidate will provide technical guidance on component selection, support customer design activity, identify new business opportunities and help develop long-term customer relationships. This role would suit a technically minded sales professional with an electronic or electrical engineering background and experience within electronic components, applications engineering, technical sales or product support. Main Responsibilities of the Technical Sales Engineer (UK): • Provide technical and commercial support to customers across the UK, • Act as a technical resource for internal and external sales teams, • Support customer design activity, qualification projects and design-in opportunities, • Attend customer meetings, site visits, exhibitions and supplier visits, • Provide application-level guidance and support component selection activities, • Identify and develop new business opportunities across existing and prospective accounts, • Support key franchise growth initiatives and supplier development plans, • Work closely with internal sales, product management, quality, engineering and supplier contacts, • Support supplier presentations, training sessions and joint customer visits, • Maintain accurate records of opportunities, customer activity, visit reports and forecasts within company systems, • Provide feedback on market trends, customer requirements, competitor activity and emerging technologies, • Support opportunity development and conversion through a consultative, solutions-led approach Requirements of the Technical Sales Engineer (UK): • Proven experience within technical sales, applications engineering, field sales engineering or product specialist roles within the electronic components industry, • Strong technical understanding of electronic and/or electromechanical components and their applications, • Experience supporting customer design activity and developing technical opportunities, • Ability to communicate effectively with engineering, procurement and commercial stakeholders, • Strong commercial awareness with the ability to identify opportunities, support price negotiations and convert business, • Ability to work independently whilst collaborating effectively with wider teams, • Full UK Driving Licence and willingness to travel regularly across the UK, • Experience supporting customers within aerospace, defence, space, rail, industrial, audio or other high-reliability sectors Experience within one or more of the following technology areas would be highly advantageous: • Passive Components, • Ceramic, Electrolytic, MLCC, Film and Tantalum Capacitors, • Composite, Foil, Thin-Film, Thick-Film and Wirewound Resistors, • Magnetics, Inductors, Transformers and Ferrite Components, • Encapsulated Power Supplies, • Circuit Breakers, Contactors and Thermostats, • EMC Components, Filters and Shielding, • RF Components and Resonators, • Current, Temperature, Pressure, Flow and Optical Sensors, • High-Reliability Semiconductors, ICs and Oscillators Desirable: • Degree in Electrical or Electronic Engineering or a related subject, • Familiarity with qualification standards and approvals within Aerospace, Defence and Space, • Experience working with franchised manufacturers and supplier networks, • Understanding of defence, aerospace or high-reliability supply chains, • Established relationships with major UK Aerospace, Defence or Space customers, • Experience designing for high-reliability and harsh-environment applications, • Experience supporting technically complex design-in programmes To apply for this Technical Sales Engineer opportunity, please send your CV to Kishan Chandarana at Redline Group: JBRP1_UKTJ

QUALITY ENGINEER - Permanent Opportunity DIVISION: Civil Engineering LOCATION: Northern Ireland - with potential travel throughout the UK Benefits: Car Allowance, Subsidised Private Medical Cover, Life Assurance; Living away from home allowance (where appropriate), Contributory Pension, 35 Days annual leave (Including Public Holidays) Due to an exciting period of growth, we are looking to add an enthusiastic and knowledgeable Quality Engineer, to provide quality assurance support to the Site Management teams, on our Northern Ireland based projects. We are open to speaking with either; experienced Quality Assurance Engineers or Civil Engineers, who are looking for a new challenge. Excellent communication skills are key, as are stellar organisation skills, in order to plan and prioritise workload. This role may, on occasion, require your presence on other UK wide sites, so the willingness to travel is essential.Those with a Civil Engineer/Construction related degree would be held in high regard, as would candidates with recognised and approved Quality Management qualifications. Job Specifics: • Implement the QA/QC management system at site, • Coordinate with quality inspections with all the site sub-contractors and vendors coordinate all non-destructive testing on site, • Coordinate with the client's representative on all quality matters, • Distribute relevant QA/QC documentation to site subcontractors, • Verify that the quality related site activities are in accordance with the applicable codes and standards, • Participate in the site internal and external site audits, • Ensure all quality control documentation is compiled and competed for as-built hand over to client, • Control all non-conformance reports and undertake remedial action, • Compete site quality control instructions and action remedial responses, • Monitor the implementation of the approved site QC Plan, • Complete and coordinate the approval of the site's QC technical submittals to the customer, • Coordinate with the site construction manager on all quality issues Coordinate and chair the QA/QC site weekly meetings with the projects subcontractor's QC personnel, • Elaborating inspection and test programme, • Assure all technical documents relative to site quality control are currentThis job description is intended to give the post holder an appreciation of the role envisaged for the Quality Engineer and the range of duties to be undertaken. It does not attempt to detail every activity. Specific tasks and objectives will be agreed with the post holder at regular intervals. Our Commitment At GRAHAM, we are proud to say that we are a committed Equal Opportunities Employer and we aim to be the first choice for people from all backgrounds. We seek to promote respect for the individual and equality of opportunities. We believe that everyone should be treated solely on the basis of personal merit and contribution throughout their GRAHAM career journey and not on the value of artificial barriers, prejudices, or preferences. If you require any adjustments or accommodations during the application or interview process, please let us know. We welcome applicants from all backgrounds. We are dedicated to making our policies and guidance accessible to all applicants and employees. If you need this document in an alternative format, such as large print, audio, or braille, please reach out: Phone: 07384 916355 As a Disability Confident Employer, we guarantee an interview to disabled applicants who meet the minimum essential criteria for the role. If you would like to apply through the Disability Confident Interview Scheme, please reach out to Louise Hunter, Resourcing Manager, on: Phone: 07384 916355 We are only able to consider applications from individuals who are eligible to live and work in the UK, as per Home Office regulations. Please check your eligibility with the regulations before applying. Individuals with a current time restricted right to work in the UK, should contact the Human Resources team in the first instance. A basic disclosure may be requested if security clearance is required by 3rd party clients and a criminal record will not necessarily be a bar to obtaining a position. Our Access NI/Vetting and Barring Scheme Policy and Policy on the Recruitment of Ex-Offenders is available upon request. GRAHAM reserves the right to carry out checks to ensure the validity of an applicant's experience and/or qualifications and we expect all applicants to comply with any such requests for information. Failure to do so or evidence of any falsification of information will lead to either removal from the recruitment process or if already in employment potential termination of contract through the company disciplinary procedure. JBRP1_UKTJ

We sort pro audio sales jobs with better pay, shorter commutes and sooner starts in mind.

Planet Offers is Bauer Media Group’s voucher and special offers platform, helping consumers across the UK access fantastic deals on attractions, experiences and gift vouchers while supporting commercial partners through the reach of Bauer’s audio and digital brands. You will be joining a collaborative and energetic team working across Customer Engagement, Commercial, radio and digital teams. As eCommerce Manager, you will drive the commercial success of Planet Offers, owning key performance drivers including revenue, conversion, customer retention and growth while leading a high-performing team. Permanent | Full-time | Hybrid working arrangement • Co-own the Planet Offers revenue target, • Lead and develop the Campaign Manager and Customer Care team, • Manage the end-to-end performance of planetoffers.co.uk, • Improve conversion and customer journeys, • Identify new revenue opportunities and audiences, • Own CRM and email marketing strategy, • Analyse performance data and provide insights, • Manage budgets and promotional activity, • Demonstrable experience leading a B2C ecommerce function, • Knowledge of CRM, email marketing, SEO and social media, • Experience with ecommerce platforms and analytics tools, • People leadership experience, • Commercial awareness and customer focus, • Excellent stakeholder management and communication skills #LI-Hybrid #LI-RS1 We are a media business focused on creating content that matters to millions of people across Europe. Our offering extends from print and online publishing to audio broadcasting and entertainment, alongside investments in other media related sectors. With more than 500 million copies sold each year, we are one of Europe’s largest Publishers. From women’s and celebrities’ magazines to TV listings to food and special interest, we own some of the most popular publishing brands in Germany, UK, Poland and France – both digital and print. But not only that. Reaching over 61 million listeners weekly, we operate over 150 radio and podcast brands in nine countries, spanning the UK, Ireland, Poland, Slovakia, Denmark, Sweden, Finland, Norway and Portugal. Family-owned in the 5th generation, Bauer Media focuses on the long-term, with a consumer-first mindset that guides us across our diverse portfolio. Our workforce of 12,000 shares a common purpose: to deliver content and services that enrich people‘s everyday lives. • You’ll have 28 days holiday, bank holidays & 2 volunteer days to use., • Your development matters, so access to our internal training provider – Bauer Academy, is a huge win., • We have enhanced Maternity/Adoption, Paternity and Shared Parental Leave Pay., • You’ll have the opportunity for flexible working., • And much more! Find the full details of our benefits here We are an international employer and equal opportunities are important to us. That's why we welcome everyone in their uniqueness, regardless of e.g. religion, gender, skin color, disability in our house. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or a long term health condition, and need us to make any reasonable adjustments or do anything differently during any stage of the recruitment process, please let us know by emailing We are actively recruiting for this position, so the job advert may close earlier than expected. If you have any feedback regarding our UK recruitment process, please email we would love to hear from you. #J-18808-Ljbffr

Seeking an Audio Visual Systems Programmer to design, develop, and commission control systems for high-end AV projects.

Seeking an Audio-Visual Systems Programmer with expertise in AV control and integration for a role covering Northwest England, with a salary of £47,000 to £52,000 per annum.