At a Glance
- Tasks: Tackle exciting projects in Computer Vision and Machine Vision with a top-tier team.
- Company: Dynamic tech start-up at the forefront of AI and data science.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with support from experts and a focus on learning.
- Why this job: Join a passionate team and solve real-world challenges in cutting-edge technology.
- Qualifications: Strong STEM background, experience in Computer Vision, and proficiency in Python and SQL.
The predicted salary is between 35000 - 42000 £ per year.
I am working with a very exciting tech start up - they work at the bleeding edge of Machine Vision and VLM's.
You will be working on a broad range of projects on Computer / Machine Vision.
A mixture of technical, research and implementation.
It will really suit someone who loves a challenge and thinking through problems- learning by doing but with support and learning from a tier 1 team - Ph D's, MSc's and external advisors from top universities
Who are they looking for?
Intellectually curious, bright and motivated people who love data science and
AI.
- A strong STEM academic background - likely with a post graduate qualification
- Some experience with Computer Vision (academic or commercial)
- Technically you will probably have a good level with Python and SQL
- Excellent foundation in Mathematics
They are based in London but operate very flexibly - usually hybrid but can be primarily remote.
Junior Computer Vision Engineer in Slough employer: Datalink Recruitment
This innovative tech start-up offers a dynamic work environment where creativity and intellectual curiosity thrive. With a strong emphasis on employee growth, you will have the opportunity to collaborate with a team of experts while tackling challenging projects in Computer Vision. The flexible working arrangements, including hybrid and remote options, ensure a healthy work-life balance, making it an ideal place for motivated individuals looking to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Computer Vision Engineer in Slough
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Datalink Recruitment.
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We think you need these skills to ace Junior Computer Vision Engineer in Slough
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Datalink Recruitment, 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 Datalink Recruitment. 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 Datalink Recruitment
✨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!
✨Showcase Your Projects
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
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 Datalink Recruitment!
✨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.
