At a Glance
- Tasks: Adapt cutting-edge computer vision models for our innovative AI SaaS platform.
- Company: Join Singer Instruments, a forward-thinking company in the life sciences sector.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting projects and career advancement potential.
- Why this job: Make a real impact by optimising AI solutions that revolutionise life sciences.
- Qualifications: 3+ years of commercial CV experience and strong skills in Python and machine learning frameworks.
The predicted salary is between 60000 - 80000 £ per year.
Singer Instruments in Exmoor, UK, is hiring a Machine Learning Engineer to adapt state-of-the-art CV models for our new AI Saa S platform.
You will deploy efficient pipelines, optimize GPUs in production, and work with backend/frontend teams to expose model outputs via fast APIs.
We seek 3+ years of commercial CV experience, hands-on with large off-the-shelf models (SAM, YOLO, DETR) and modern backbones (DINOv2).
Strong Python, Py Torch/Tensor Flow, and AWS/Sage Maker expertise are essential.
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Remote Computer Vision ML Engineer — AI SaaS for Life Sciences in Minehead employer: Singer Instruments
Singer Instruments is an exceptional employer, offering a dynamic work culture where innovation thrives and employee growth is actively supported. Located in the picturesque Exmoor area, we provide competitive benefits and a collaborative environment that encourages creativity and professional development, making it an ideal place for those passionate about advancing AI technology.
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We think this is how you could land Remote Computer Vision ML Engineer — AI SaaS for Life Sciences in Minehead
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We think you need these skills to ace Remote Computer Vision ML Engineer — AI SaaS for Life Sciences in Minehead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Singer Instruments. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Singer Instruments!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
