Singer Instruments

Singer Instruments in Minehead is seeking a meticulous Data Specialist / Annotator to enhance our AI capabilities by creating high-quality datasets. You will collaborate with our Machine Learning Engineers to ensure peak accuracy in visual data annotations. This position involves rigorous quality checks, managing third-party data vendors, and working within an Agile team structure using Jira and Confluence. A background in Life Sciences or similar fields is advantageous, along with proficiency in data annotation tools.

Data Specialist / Annotator - Shape Future AI Products & Accelerate Scientific Discovery with Us! Singer Instruments empower scientists in laboratories in over 60 countries to accelerate their research efforts on global challenges. We are looking for a Data Specialist / Annotator to create the high quality datasets that train our Computer Vision models, ensuring peak accuracy and safety before deployment. The Role Supported by a newly secured public funding grant, we are initiating an intensive engineering phase to transition a proprietary, laboratory validated technical imaging technology from a Technology Readiness Level (TRL) 4 Proof of Concept into an operationally ready, commercially viable TRL 7 multi tenant AI SaaS platform. We are seeking a meticulous and analytical Data Specialist / Annotator to play a vital role in fueling our artificial intelligence capabilities. In this role, you will be responsible for creating the high quality datasets that train our Computer Vision and Generative AI systems. Working alongside our Machine Learning Engineers, you will curate, label, and audit massive amounts of visual and text data, ensuring our models achieve peak accuracy and safety before deployment. Visual data in Life Sciences is notoriously complex, and you will act as the human in the loop, translating complex biological images into clean, structured training arrays. How This Role Drives Our Computer Vision Project Foundation models like SAM 3 and SAM 2 require precise, high quality visual prompts to adapt to niche datasets. You will provide the exact pixel level masks, polygons, and point prompts required to successfully fine tune SAM 3 for our specific use cases. For our real time object detection pipelines (YOLO26 / YOLO11), accuracy depends entirely on bounding box precision. You will ensure thousands of training images are flawlessly labelled with minimal spatial error to prevent model confusion. As the project scales and external third party data vendors are used for bulk annotation, you will lead the Quality Assurance (QA) function. You will build annotation guidelines, manage vendor pipelines, and run strict statistical audits on incoming data. By cleansing raw data, managing versioning at the dataset level, and eliminating corrupt or mislabelled files early, you will prevent "garbage in, garbage out"-saving immense amounts of expensive AWS GPU compute time. What you'll bring to our team (key contributions) High precision annotation of visual datasets (images and videos) for tasks like object tracking, instance segmentation, and landmark detection using advanced labelling tools. Review, filter, and structure raw data inputs, eliminating anomalies, duplicate records, or corrupt files to maintain high data integrity. Perform rigorous quality checks on datasets labelled by internal teams or external third party vendors, identifying and correcting errors. Collaborate closely with Machine Learning Engineers within an active Agile environment, participating in daily stand ups and tracking priorities using Jira and Confluence. Draft, refine, and maintain detailed data labelling documentation and taxonomies to ensure consistency across the annotation pipeline. Who you are (essential skills & attributes) 2+ years of experience working as a Data Annotator, Data Specialist, or in a highly detailed data quality role. Hands on experience with bounding boxes, polygons, semantic segmentation, and key point annotation for visual models (experience with tools like Labelbox, CVAT, or RoboFlow is highly advantageous). Proven track record working within an Agile team structure, with daily proficiency using tools like Jira and Confluence. Exceptional focus and accuracy when handling repetitive data tasks over long intervals. Strong written and verbal communication to effectively translate model requirements into strict annotation rules. Background or prior experience working with Life Sciences, Biotech, or Medical Imaging data (e.g., identifying cellular structures, tissue types, or laboratory imagery) is a major advantage. Familiarity with Python or SQL to write basic scripts for automating data loading, file parsing, or bulk file renaming. Experience with Reinforcement Learning from Human Feedback (RLHF), prompt evaluation, or grading generative text and image outputs. Familiarity with productivity aids or cutting edge tools (e.g., Claude, ChatGPT) to draft annotation documentation or categorise textual data quickly. Mandatory Grant Compliance & Eligibility To comply with the strict terms of our public funding body, all applicants must meet the following baseline criteria: Sovereignty Status: Candidates must possess an absolute, unrestricted right to work in the UK (UK Nationals preferred). We cannot offer visa sponsorship or international remote working arrangements for these fixed term packages. Geographic Restriction: Every hour of work, line of code, and data annotation must be executed strictly on UK soil. Working from overseas (including temporary remote working holidays) is contractually prohibited.

Singer Instruments in Minehead is seeking an Automation Tester for a 6-month fixed-term contract to enhance their AI SaaS platform's stability and performance. The ideal candidate will design and maintain automated testing frameworks, ensuring quality through Agile methodologies and integrating testing into CI/CD pipelines. A salary starting from £45k DOE is offered, with a focus on candidates with the right to work in the UK.

Automation Tester - 6-month Fixed Term Contract Automation Tester - Shape Future AI Products & Accelerate Scientific Discovery with Us! Singer Instruments empower scientists in laboratories in over 60 countries to accelerate their research efforts on global challenges. We are looking for an Automation Tester to ensure the stability and flawless performance of our new AI SaaS platform, building testing frameworks from the ground up to support cutting edge scientific workflows. The Role Supported by a newly secured public funding grant, we are initiating an intensive engineering phase to transition a proprietary, laboratory validated technical imaging technology from a Technology Readiness Level 4 Proof of Concept into an operationally ready, commercially viable TRL 7 multi tenant AI SaaS platform. We are seeking a skilled Automation Tester to design, build, and maintain our automated testing frameworks from the ground up. In this role, you will champion a continuous testing culture, ensuring the quality, stability, and performance of our AWS hosted SaaS platform and preventing regressions across our Python, Node.js, and React ecosystems. Key Responsibilities Design, execute, and maintain scalable, robust automated test suites for web applications and APIs. Analyse product requirements to create comprehensive test plans, identifying high risk areas that require automation. Embed yourself within an active Agile development team, contributing to daily stand ups, sprint planning, and retrospective sessions. Embed automated test suites directly into our CI/CD pipelines to achieve continuous testing and rapid deployment cycles. Identify, log, track, and thoroughly document bugs, collaborating closely with developers to ensure swift resolution. Conduct automated API integration tests and basic load/performance testing to verify system resilience. Qualifications & Essential Skills 3+ years of commercial experience in software test automation. Extensive experience working within fast paced Agile delivery methodologies (Scrum/Kanban) and expert level proficiency with project management tools, specifically Jira and Confluence. Strong proficiency with modern UI automation tools, specifically Playwright or Cypress (rather than legacy Selenium frameworks). Deep experience testing RESTful APIs and backend web services using tools like Postman, SuperTest, or automated requests. Prior experience testing multi tenant SaaS environments, ensuring data isolation and user subscription logic function perfectly. Hands on experience executing automated tests within AWS cloud environments and integrating them into pipelines (e.g., GitHub Actions, GitLab CI). Experience or interest in validation methodologies for AI capabilities, such as testing chatbot responsiveness, data analysis models, or regression testing of non deterministic outputs. Familiarity with performance or load testing tools or security vulnerability testing. Proactive use of modern developer and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate test creation and debug automation scripts. Compensation From £45k DOE. Location & Work Arrangements Singer, Minehead, Somerset (UK). Strictly UK Based only; no visa sponsorship or remote working from overseas. Eligibility & Grant Compliance Sovereignty Status: Candidates must possess an absolute, unrestricted right to work in the UK (UK Nationals preferred). We cannot offer visa sponsorship or international remote working arrangements for these fixed term packages. Geographic Restriction: Every hour of work, line of code, and data annotation must be executed strictly on UK soil. Working from overseas (including temporary remote working holidays) is contractually prohibited. Diversity, Equality and Inclusion We encourage applications from all individuals and respect and appreciate differences and unique ways of thinking. We are flexible and can adapt our application and assessments by discussing individual needs first.

Machine Learning Engineer - Shape Future AI Products & Accelerate Scientific Discovery with Us! Singer Instruments empower scientists in laboratories in over 60 countries to accelerate their research efforts on global challenges. We are looking for a Machine Learning Engineer specialising in Computer Vision to turn off the shelf foundation models into highly optimised commercial features for our new AI SaaS platform. Located in Exmoor on the UK's South West coast, Singer offers world class culture and benefits. An engaged team makes great products! The Role Take state of the art, off the shelf computer vision foundation models and adapt, fine tune, or compress them to suit our specific product use cases. Package and deploy machine learning models into production environments (ideally AWS cloud infrastructure), ensuring low latency, high throughput, and efficient GPU cost optimisation. Architect scalable pipelines for data collection, automated data labelling, visual preprocessing, and dataset augmentation. Actively evaluate newly released open source models, translating theoretical AI breakthroughs into practical, scalable features. Partner with backend, frontend, and product teams to expose model outputs smoothly via high performance APIs. Who you are (essential skills & attributes) 3+ years of commercial experience, specifically training, adapting, and deploying computer vision systems. Proven experience working with, fine tuning, and customising large off the shelf vision models, including: Meta SAM 3 (Segment Anything Model 3) or SAM 2 for advanced promptable object masking and real time tracking; modern architectures like YOLO 26, YOLO 11, or state of the art Real Time DETR (DETRs). Self supervised backbones such as DINOv2. Mastery of Python and deep learning ecosystems, specifically PyTorch or TensorFlow, alongside core toolkits like OpenCV. Strong experience deploying vision models at scale using AWS tools (e.g., Amazon EC2 GPU instances, Amazon SageMaker) alongside model optimisation frameworks like TensorRT or ONNX. Extensive experience working within fast paced Agile delivery teams using frameworks such as Scrum/Kanban, and expert level proficiency with project management tools, specifically Jira and Confluence. Experience implementing modern MLOps pipelines for automated model retraining, version control (e.g., DVC, MLflow), continuous deployment (CD for ML), and real time model drift/performance monitoring. Prior commercial or academic experience applying computer vision to Life Sciences, Biotech, Medical Imaging, or Digital Pathology (e.g., cell segmentation, tissue analysis, fluorescent imaging, or lab automation datasets) is highly advantageous. Familiarity with Vision Language Models (VLMs) or fine tuning Multimodal Foundation Models for visual reasoning tasks. Proactive use of advanced, modern development workflows and agentic coding tools (e.g., Claude Code, Cursor, or GitHub Copilot) to accelerate development and testing loops. Crucially, we firmly believe that the right person can come from any background, and your unique journey matters more than just a qualification. Mandatory Grant Compliance & Eligibility To comply with the strict terms of our public funding body, all applicants must meet the following baseline criteria: Sovereignty Status: Candidates must possess an absolute, unrestricted right to work in the UK (UK Nationals preferred). We cannot offer visa sponsorship or international remote working arrangements for these fixed term packages. Geographic Restriction: Every hour of work, line of code, and data annotation must be executed strictly on UK soil. Working from overseas (including temporary remote working holidays) is contractually prohibited. How to Apply If you are ready to deliver a critical work package for this high velocity technical automation project starting 1 July 2026, please submit your CV and a brief summary of your technical background. Please explicitly state your eligibility to work under UK Sovereignty Status guidelines. Diversity, Equality and Inclusion We encourage applications from all individuals and respect and appreciate differences and unique ways of thinking. We are flexible and can adapt both our application and assessments by discussing your individual needs first. Benefits Holiday: 25 days per year + 8 bank holidays (pro rated) Paid time off for surf and sun (zero notice) Location Singer, Minehead, Somerset/Remote Contract Type Full time - Fixed Term Contract 6 Month Work Package Closing Date 12/06/2026

Singer Instruments is looking for a Machine Learning Engineer in Minehead to specialize in Computer Vision. This role involves fine-tuning foundation models for their new AI SaaS platform and deploying models in production environments. You will work in a dynamic team and ensure efficient performance in cloud settings. The ideal candidate has 3+ years of experience with computer vision systems, a strong command of Python and deep learning tools, and proficiency in AWS. Benefits include 25 days holiday and flexible working arrangements.