At a Glance
- Tasks: Design and optimise AI models for image search and brand protection.
- Company: Corsearch is a global leader in Trademark and Brand Protection, safeguarding valuable assets.
- Benefits: Join a collaborative culture with diverse perspectives and impactful work.
- Why this job: Make a difference in brand protection while working with cutting-edge technology.
- Qualifications: 3+ years as a Machine Learning Engineer with strong skills in ML frameworks.
- Other info: Corsearch values diversity and inclusivity, welcoming all applicants.
The predicted salary is between 43200 - 72000 £ per year.
At Corsearch, we are dedicated to creating a world where consumers can trust the choices they make.
As a global leader in Trademark and Brand Protection, we partner with businesses to safeguard their most valuable assets in an increasingly complex digital environment.
Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting.
Why Choose Corsearch?
- Innovative Solutions : We combine cutting-edge technology with expert judgment to deliver market-leading services in trademark clearance, brand protection, and anti-counterfeiting.
- Global Impact : Trusted by over 5,000 customers worldwide, including 73 of Fortune's Top 100 companies, our work has a meaningful impact on businesses and consumers alike.
- Collaborative Culture : With a team of over 1,900 professionals across multiple global offices, you'll be joining an inclusive environment where diverse perspectives thrive.
- Mission-Driven Purpose : Our commitment to protecting consumers and their trust in brands drives everything we do, making Corsearch a force for good in the world.
The Role
As an ML Engineer you’ll play a crucial role in advancing our shared mission of protecting and enhancing the world’s most valuable brands.
You will design and optimize AI models that power our state-of-the-art image search engine and other innovative solutions.
Collaborating with Corsearch’s global team of data scientists, engineers, and brand protection experts, you’ll help drive innovation in brand protection and online content monitoring , ensuring our clients stay ahead in a rapidly evolving digital landscape.
Responsibilities and Duties
- Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition).
- Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search , image-text matching , and online content analysis .
- Collaborate with cross-functional teams to improve product and system performance.
- Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions.
- Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation.
- Continuously monitor the performance of models in production, identify bottlenecks, and propose optimizations.
Essential
- Proven experience as a Machine Learning Engineer with at least 3 years of professional experience.
- Strong proficiency in machine learning frameworks such as CatBoost , TensorFlow , PyTorch , or Keras .
- Experience with image processing , feature extraction , and text preprocessing techniques .
- Solid understanding of algorithms for tasks such as object detection , image classification , text extraction , and sentiment analysis .
- Hands-on experience with large datasets and data pipelines for training and deploying ML models.
- Strong analytical and problem-solving skills, with the ability to translate business challenges into technical solutions.
- Full professional English proficiency
Corsearch is an equal opportunity and inclusive employer and does not tolerate discrimination of any kind. We are committed to creating a diverse and inclusive workplace where all employees feel valued, respected, and supported. We welcome applications from all individuals regardless of race, nationality, religion, gender, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic. Together, we are working proactively to build a workplace where everyone can belong and be at their best selves. Together, we make an Impact.
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Machine Learning Engineer (London) employer: Corsearch
Contact Detail:
Corsearch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (London)
✨Tip Number 1
Familiarise yourself with Corsearch's mission and values. Understanding their commitment to brand protection and consumer trust will help you align your responses during interviews, showcasing how your skills as a Machine Learning Engineer can contribute to their goals.
✨Tip Number 2
Network with current or former employees of Corsearch on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage in your application process.
✨Tip Number 3
Stay updated on the latest trends in machine learning, particularly in computer vision and NLP. Being able to discuss recent advancements or relevant projects during your interview will demonstrate your passion and expertise in the field.
✨Tip Number 4
Prepare to discuss specific projects where you've developed or optimised machine learning models. Highlighting your hands-on experience with frameworks like TensorFlow or PyTorch will show that you have the practical skills needed for the role.
We think you need these skills to ace Machine Learning Engineer (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly in computer vision and NLP. Use specific examples of projects you've worked on that align with the responsibilities listed in the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also reflects your understanding of Corsearch's mission. Explain how your background and expertise can contribute to their goal of brand protection and consumer trust.
Showcase Your Projects: Include links to any relevant projects or GitHub repositories that demonstrate your proficiency with machine learning frameworks like TensorFlow or PyTorch. Highlight any work related to image processing or large datasets.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial in a technical role like this.
How to prepare for a job interview at Corsearch
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like TensorFlow, PyTorch, or Keras. Bring examples of projects where you've developed and optimised models, especially in computer vision and NLP.
✨Understand the Company's Mission
Familiarise yourself with Corsearch's commitment to brand protection and consumer trust. Be ready to explain how your skills can contribute to their mission and the impact you hope to make.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your analytical and problem-solving abilities. Practice explaining how you would approach real-world challenges related to image recognition or text classification.
✨Emphasise Collaboration
Corsearch values a collaborative culture, so highlight your experience working in cross-functional teams. Share examples of how you've successfully collaborated with data scientists and engineers to achieve project goals.