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- Tasks: Lead the development of advanced ML models in computer vision and deep learning.
- Company: Join a dynamic team working on high-impact projects with cutting-edge technology.
- Benefits: Enjoy flexible working options and the chance to work remotely.
- Why this job: Make a real impact by driving automation and improving operational efficiency.
- Qualifications: Experience in computer vision, deep learning, and Python is essential.
- Other info: Collaborate with cross-functional teams and build secure ML infrastructure.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for an experienced Data Scientist with strong expertise in Computer Vision and Machine Learning to join a high-impact project. You will lead the development and integration of advanced ML models into a core application, driving automation and improving operational efficiency.
This is an exciting opportunity to work on cutting-edge technology, including deep learning, image recognition, and large language models (LLMs), while building secure and scalable in-house infrastructure.
Key Responsibilities- Design, develop, and optimise computer vision and deep learning models using Python and frameworks such as TensorFlow or PyTorch.
- Integrate ML models into production applications, ensuring scalability and performance.
- Apply LLMs to enhance model outputs and improve user experience.
- Build and maintain secure, reliable ML infrastructure based on trial learnings.
- Conduct rigorous testing, validation, and iteration of models.
- Collaborate with stakeholders and cross-functional teams to deliver robust solutions.
- Proven experience in Computer Vision, Deep Learning, and Python.
- Hands-on experience with ML frameworks (TensorFlow, PyTorch).
- Familiarity with LLMs and their practical applications.
- Strong problem-solving skills and stakeholder management experience.
Flexible working options available.
Data Scientist in Slough employer: hays-gcj-v4-pd-online
Contact Detail:
hays-gcj-v4-pd-online Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in computer vision and machine learning. Use GitHub to share your code and document your thought process – it’s a great way to impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, TensorFlow, and PyTorch. Practice explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed.
We think you need these skills to ace Data Scientist in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computer vision and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a bit of personality!
Showcase Your Technical Skills: When applying, be specific about your technical expertise. Mention the ML frameworks you’ve used, like TensorFlow or PyTorch, and any experience with LLMs. We’re keen to know how you can contribute to our cutting-edge projects!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at hays-gcj-v4-pd-online
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of computer vision and machine learning frameworks like TensorFlow and PyTorch. Be ready to discuss specific projects where you've applied these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in previous roles. Think about situations where you had to optimise models or integrate ML into applications, and be ready to explain your thought process and the outcomes.
✨Understand the Business Impact
It's crucial to connect your technical skills with business outcomes. Be prepared to discuss how your work in data science has improved operational efficiency or user experience in past projects. This shows that you understand the bigger picture and can communicate effectively with stakeholders.
✨Practice Collaboration Scenarios
Since you'll be working with cross-functional teams, think of examples where you've successfully collaborated with others. Prepare to discuss how you managed stakeholder expectations and contributed to team goals, as this will highlight your teamwork and communication skills.
