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- 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, mentorship, continuous learning, 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.
Machine Learning Specialist in Birmingham employer: Your Next Hire
Contact Detail:
Your Next Hire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Specialist in Birmingham
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the machine learning community. Attend meetups, webinars, or conferences related to computer vision and object detection. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML models and computer vision techniques. Share it on platforms like GitHub or even your own website to grab the attention of potential employers.
✨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 passionate candidates who are eager to join our mission-driven team. Keep an eye on our job listings and make sure your application stands out!
We think you need these skills to ace Machine Learning Specialist in Birmingham
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. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with Python and ML libraries like TensorFlow and PyTorch. We’re looking for someone who can hit the ground running, so highlight any relevant projects or achievements.
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 this exciting opportunity. Let’s make it happen!
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 have examples of your work at the ready. This shows you're not just familiar with the theory but can apply it practically.
✨Engage with Real-World Applications
Since this role involves working on high-stakes applications, be prepared to talk about how you've tackled real-world challenges in ML deployments. Share specific examples where your contributions made a difference, especially in areas like aviation or robotics.
✨Communicate Clearly
You'll need to collaborate with both technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. Think about how you can convey your ideas clearly and concisely, as effective communication is key in this role.
✨Show Your Passion
Let your enthusiasm for AI and machine learning shine through during the interview. Talk about what excites you about the field and how you stay updated with new developments. A genuine passion can set you apart from other candidates.