At a Glance
- Tasks: Develop and validate cutting-edge machine learning models for computer vision applications.
- Company: Join a mission-driven team focused on AI safety and reliability.
- Benefits: Competitive salary, continuous learning, mentorship, and collaborative culture.
- Other info: Work in a dynamic environment with global engineering teams.
- Why this job: Make a real impact in high-stakes ML challenges across various industries.
- Qualifications: Experience in machine vision, strong Python skills, and familiarity with ML tools.
The predicted salary is between 36000 - 60000 € per year.
Join a mission-driven team focused on making AI safe and reliable. We are seeking a Machine Learning Specialist with deep experience in computer vision and object detection. You’ll work directly with engineering teams in aviation, mobility, robotics, and edge devices to improve the performance, robustness, and reliability of ML models in high-stakes, real-world applications. This role blends hands-on technical work with customer engagement, offering the opportunity to influence both product and R&D directions while applying state-of-the-art computer vision techniques.
Key Responsibilities
- Customer & User Engagement
- Partner with R&D and product teams at customer organisations to understand their ML models and validation challenges.
- Advise stakeholders on model performance, trade-offs, and best practices in deployment.
- Technical Execution
- Implement prototypes, use cases, and solutions using advanced ML tools for computer vision validation.
- Conduct experiments to evaluate and improve object detection, tracking, and model robustness.
- Collaborate with internal R&D teams to influence product development and build scalable ML validation tools.
- Innovation & Collaboration
- Contribute to the development of robust verification frameworks for machine vision.
- Share insights from real-world use cases to drive improvements in AI/ML validation methods.
Required Skills & Experience
- Proven contributions to machine vision research, ideally with publications or first-author papers in top conferences (CVPR, ICCV, ECCV).
- Hands-on experience training, evaluating, and deploying state-of-the-art computer vision models (e.g., YOLO, Vision Transformers, Eva).
- Strong Python skills and familiarity with libraries such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch.
- Experience with ML workflows, MLOps, and best practices in model validation and evaluation.
- Solid understanding of evaluation metrics such as Accuracy, Recall, F1, IoU.
Highly Desirable
- Experience in aviation, mobility, edge devices, or robotics applications.
- Involvement in real-world industrial ML deployments.
- Excellent communication skills for collaborating with technical and non-technical stakeholders.
Personal Attributes
- Passionate about AI/ML and helping engineering teams achieve their goals.
- Curious, hands-on, and proactive in problem solving.
- Comfortable in fast-paced environments and dealing with ambiguity.
- Collaborative, clear, and honest in communication.
Why This Role Is Interesting
- Be part of a pioneering team advancing AI safety and reliability in critical applications.
- Work directly with global engineering teams on high-impact ML challenges.
- Access to continuous learning, mentorship, and internal knowledge-sharing.
Locations
Machine Learning Specialist in Hampshire, Portsmouth employer: Your Next Hire
Join a forward-thinking company in London that prioritises innovation and collaboration, making it an excellent employer for a Machine Learning Specialist. With a strong focus on AI safety and reliability, employees benefit from a dynamic work culture that encourages continuous learning and mentorship, while also engaging directly with global engineering teams on impactful projects. This role offers unique opportunities to influence product development and contribute to cutting-edge advancements in computer vision and object detection.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Specialist in Hampshire, Portsmouth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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, especially those related to computer vision and object detection. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates like you. Plus, it shows you're genuinely interested in joining our mission-driven team.
We think you need these skills to ace Machine Learning Specialist in Hampshire, Portsmouth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in computer vision and object detection. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or publications!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how you can contribute to our mission. Be specific about your experiences and how they relate to the job.
Showcase Your Technical Skills:We love seeing hands-on experience! Mention any advanced ML tools you've used, especially in relation to computer vision. Highlight your familiarity with Python and relevant libraries to catch our eye.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Your Next Hire
✨Know Your Stuff
Make sure you brush up on the latest trends and techniques in computer vision and object detection. Be ready to discuss your hands-on experience with models like YOLO or Vision Transformers, and don’t forget to mention any relevant publications you have. This shows you’re not just familiar with the theory but also have practical insights.
✨Engage with Real-World Applications
Prepare to talk about how your work has impacted real-world applications, especially in fields like aviation or robotics. Think of specific examples where you’ve improved model performance or tackled validation challenges. This will demonstrate your ability to apply your skills in high-stakes environments.
✨Show Your Collaborative Spirit
Since this role involves working closely with R&D and product teams, be ready to share experiences where you’ve successfully collaborated with both technical and non-technical stakeholders. Highlight your communication skills and how you’ve navigated complex discussions to drive projects forward.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s mission and the specifics of the role. Inquire about their current ML challenges or how they measure success in their projects. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
