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- Tasks: Develop cutting-edge AI solutions in a fast-paced startup environment.
- Company: Join a dynamic B2B tech startup revolutionising AI in healthcare, manufacturing, and agriculture.
- Benefits: Enjoy a competitive salary and hybrid working with 3 days in the Bristol office.
- Why this job: Be part of an exciting growth phase and shape the future of AI and ML products.
- Qualifications: Expertise in Deep Learning and Computer Vision; experience in a tech startup is essential.
- Other info: Passion for data science and innovation is a must; nice-to-haves include NLP and Generative AI.
The predicted salary is between 85000 - 95000 £ per year.
Opportunity with a B2B tech startup in the AI space. This is a hybrid role requiring 3 days per week in the Central Bristol office. Our client works with enterprise businesses on their AI capabilities in areas such as healthcare, manufacturing and agriculture. Working cross-functionally in this fast-growing startup, you will have a unique opportunity to develop first-class AI and ML products and solutions and join a business at an exciting stage of growth as they prepare to scale.
You should consider this opportunity if the following appeals to you:
- You have a passion and deep expertise in Computer Vision
- You’ve worked in a startup before and prefer all that it entails over a job in a large corporation
- You are excited about Generative AI and what the future holds
About the role:
- Develop Deep Learning solutions
- Develop the methodology and assessment criteria to measure solution performance
- Track and implement advancements in Deep Learning and Computer Vision
- Maintain Machine Learning products
- Help shape the data science team as it scales
About you:
- Current or recent experience in a tech startup or scale-up with a fast-paced environment
- Expertise in Deep Learning and Computer Vision (incl. image classification, detection, facial recognition, etc.)
- Understanding of transfer learning and popular augmentation techniques
- Able to apply machine learning to real-life problems
- Familiarity with Vision Transformers, DeepLabv3, SegFormer, etc.
- Proficient in Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras
- Thrive in a cross-functional working environment
- Possess a clear passion for data science beyond the day job
Nice-to-haves:
- NLP, OpenCV, Generative AI, data visualization, MLOps
On offer:
- Base salary of £85k - £95k depending on experience
- Hybrid working - 3 days in the Bristol office
Contact Detail:
Wilson Grey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network with professionals in the AI and Computer Vision fields. Attend local meetups or online webinars to connect with others who work in startups, as they can provide insights and potentially refer you to opportunities.
✨Tip Number 2
Showcase your passion for data science by engaging in relevant projects or contributing to open-source initiatives. This not only enhances your skills but also demonstrates your commitment to the field, making you a more attractive candidate.
✨Tip Number 3
Familiarise yourself with the latest advancements in Deep Learning and Computer Vision. Being able to discuss recent trends or breakthroughs during interviews can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you've applied machine learning to solve real-life problems in previous roles. Concrete examples will help illustrate your expertise and fit for the fast-paced startup environment.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in Computer Vision and Deep Learning. Include specific projects or experiences that demonstrate your skills in image classification, detection, and facial recognition.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your experience in fast-paced startup environments. Mention any relevant technologies you’ve worked with, such as Python, TensorFlow, or PyTorch, and how they relate to the role.
Showcase Relevant Projects: If you have worked on projects involving Generative AI or MLOps, be sure to include these in your application. Provide links to your GitHub or portfolio where possible to give tangible evidence of your skills.
Highlight Cross-Functional Experience: Emphasise your ability to work in cross-functional teams. Mention any collaborative projects you've been part of, especially those that required you to communicate complex data science concepts to non-technical stakeholders.
How to prepare for a job interview at Wilson Grey
✨Showcase Your Passion for Computer Vision
Make sure to express your enthusiasm for Computer Vision during the interview. Share specific projects or experiences where you've applied your expertise, such as image classification or facial recognition, to demonstrate your deep understanding of the field.
✨Highlight Startup Experience
Since this role is in a fast-paced startup environment, be prepared to discuss your previous experiences in similar settings. Emphasise your adaptability and how you thrive in dynamic situations, showcasing examples of how you've contributed to growth in past roles.
✨Discuss Deep Learning Methodologies
Be ready to talk about your knowledge of Deep Learning methodologies and assessment criteria. Prepare to explain how you've developed and measured the performance of solutions in your past work, as this will be crucial for the role.
✨Stay Updated on AI Advancements
Demonstrate your commitment to the field by discussing recent advancements in AI and Machine Learning that excite you. This could include trends in Generative AI or new techniques in transfer learning, showing that you're not just knowledgeable but also passionate about the future of data science.
