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- Tasks: Design, build, and deploy cutting-edge machine learning models for image and video processing.
- Company: Join a top-tier client known for innovation in technology and machine learning.
- Benefits: Enjoy hybrid working, flexible hours, and opportunities for contract extensions.
- Why this job: Be at the forefront of AI technology while collaborating with talented professionals in a dynamic environment.
- Qualifications: Strong experience in Computer Vision, Python, and ML frameworks is essential.
- Other info: This role offers a chance to work on exciting projects with guaranteed contract extensions.
The predicted salary is between 48000 - 72000 £ per year.
6 Month Contract – Hybrid Working – Asap Start – Outside of IR-35 Overview The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions). You will play a key role in designing, building, and deploying machine learning models that drive innovation in image and video processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions. Stay up to date with the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have Experience with transformer-based vision models (ViT, CLIP, SAM). Familiarity with real-time inference and optimisation (ONNX, TensorRT). Previous work on video analytics, 3D vision, or multi-modal ML projects.41bf1e1f-b16b-4260-a40a-17c77a06fd15
Machine Learning Engineer - Computer Vision employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Computer Vision
✨Tip Number 1
Network with professionals in the machine learning and computer vision fields. Attend relevant meetups, webinars, or conferences to connect with industry experts and learn about potential job openings. Engaging with the community can often lead to referrals.
✨Tip Number 2
Showcase your projects on platforms like GitHub or personal websites. Highlight any machine learning models you've built, especially those related to computer vision. This not only demonstrates your skills but also gives potential employers a tangible view of your work.
✨Tip Number 3
Stay updated with the latest trends and advancements in computer vision and deep learning. Follow influential researchers and organisations on social media, and engage with their content. This knowledge can be beneficial during interviews and discussions with potential employers.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design questions related to machine learning. Use platforms like LeetCode or HackerRank to sharpen your skills, focusing on problems that involve data processing and model deployment.
We think you need these skills to ace Machine Learning Engineer - Computer Vision
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with computer vision frameworks like OpenCV, PyTorch, and TensorFlow. Include specific projects where you've developed and deployed ML models, showcasing your hands-on skills.
Craft a Strong Cover Letter: In your cover letter, emphasise your problem-solving abilities and collaborative experience. Mention any relevant projects that demonstrate your expertise in image and video processing, as well as your familiarity with MLOps tools.
Showcase Relevant Skills: Clearly list your technical skills related to the job description, such as proficiency in Python, knowledge of CNNs, and experience with cloud platforms like AWS or Azure. This will help you stand out to the hiring team.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've attended related to deep learning and computer vision. This shows your commitment to staying updated with the latest advancements in the field.
How to prepare for a job interview at Explore Group
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Computer Vision frameworks like OpenCV, PyTorch, and TensorFlow. Bring examples of projects where you've developed, trained, and optimised models, as this will demonstrate your practical knowledge.
✨Discuss Real-World Applications
Highlight your experience with large datasets and how you've handled data preprocessing and augmentation. Be ready to explain how your work has contributed to real-world applications in image and video processing.
✨Emphasise Collaboration
Since the role involves working closely with data scientists and software engineers, share examples of successful collaborations. Discuss how you translated business needs into technical solutions, showcasing your ability to work in a hybrid, collaborative environment.
✨Stay Updated on Trends
Demonstrate your commitment to staying current with advancements in deep learning and computer vision. Mention any recent technologies or methodologies you've explored, especially those related to MLOps tools or transformer-based vision models.
