At a Glance
- Tasks: Develop and train cutting-edge computer vision models for real-world applications.
- Company: Join a growing tech company at the forefront of AI innovation.
- Benefits: Competitive salary, bonus, and the chance to work remotely.
- Other info: Collaborative team environment with exciting opportunities for growth.
- Why this job: Make a real impact by solving complex problems with advanced AI systems.
- Qualifications: Strong experience in computer vision, deep learning, and Python programming.
The predicted salary is between 80000 - 80000 £ per year.
Remote (UK-based) £80,000 + Bonus
The Opportunity
We’re supporting a growing technology business developing advanced AI systems that operate in complex, real-world environments. Their work focuses on applying computer vision and machine learning to image and video data, solving challenging problems around detection, classification, and real-time analysis. This is a great opportunity to work on systems where models are deployed into live environments, rather than purely research or offline use cases.
The Role
You’ll join a newly formed data science team, focusing on computer vision and image-based modelling. The role is highly hands-on, working across the full lifecycle, from data and model development through to deployment, collaborating closely with software and engineering teams.
What You’ll Be Doing
- Developing and training computer vision models for detection and classification
- Working with image and video data from real-world environments
- Building and optimising object detection pipelines
- Handling large and complex datasets, including labelling and augmentation
- Improving performance for challenging scenarios (e.g. small or distant objects)
- Collaborating with engineers to deploy models into production systems
What They’re Looking For
- Strong experience in computer vision and deep learning
- Hands-on experience with frameworks such as PyTorch or TensorFlow
- Experience with object detection models (e.g. YOLO, Faster R-CNN, etc.)
- Strong Python programming skills
- Experience working with real-world image or video data
Nice to Have
- Experience with OpenCV or traditional image processing techniques
- Experience working with sensor or camera-based systems
- Exposure to real-time or edge deployment
- Experience with multi-spectral or infrared imagery
If this role looks a good fit, or you'd like to find out more about the business and their products, please apply directly. You must be based in the UK to be eligible for this role.
Senior Data Scientist - Computer Vision in England employer: Technify Talent
At Technify Talent, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture in the vibrant city of Cambridge. Our commitment to employee growth is evident through continuous learning opportunities and hands-on experience with cutting-edge technology, making this role not just a job, but a pathway to a rewarding career in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Computer Vision in England
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We think you need these skills to ace Senior Data Scientist - Computer Vision in England
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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Craft a Tailored Cover Letter:For a full-time role at Technify Talent, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Technify Talent. 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!
How to prepare for a job interview at Technify Talent
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨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.
