Machine Learning Engineer

Machine Learning Engineer

Full-Time 48000 - 84000 £ / year (est.) No working from home possible
Corsearch

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: Enjoy a collaborative culture, remote work options, and the chance to make a global impact.
  • Other info: Corsearch promotes an inclusive workplace and welcomes applications from all backgrounds.
  • Why this job: Join a mission-driven team that values innovation and diverse perspectives in a meaningful industry.
  • Qualifications: 3+ years as a Machine Learning Engineer with strong skills in ML frameworks and algorithms.

The predicted salary is between 48000 - 84000 £ 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 a 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 employer: Corsearch

Corsearch is an exceptional employer that champions innovation and growth in the digital-first landscape. With a strong focus on employee development, you will have access to mentorship opportunities and cutting-edge tools that empower you to excel in your role. Our collaborative work culture fosters creativity and teamwork, making it an ideal environment for those looking to make a meaningful impact in customer success.

Corsearch

Contact Details:

Corsearch Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer

Tip Number 1

Familiarise yourself with the latest advancements in machine learning, particularly in computer vision and NLP. Being able to discuss recent breakthroughs or techniques during your interview can demonstrate your passion and expertise in the field.

Tip Number 2

Network with current employees at Corsearch or similar companies on platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights into the company culture and expectations for the role.

Tip Number 3

Prepare to showcase your practical experience with machine learning frameworks such as TensorFlow or PyTorch. Be ready to discuss specific projects where you've successfully implemented these technologies, as this will highlight your hands-on skills.

Tip Number 4

Stay updated on the challenges faced in brand protection and online content monitoring. Understanding the industry context will allow you to tailor your responses and show how your skills can directly contribute to Corsearch's mission.

We think you need these skills to ace Machine Learning Engineer

Machine Learning Frameworks (e.g., TensorFlow, PyTorch, Keras, CatBoost)
Computer Vision Techniques (e.g., image recognition, object detection)
Natural Language Processing (NLP) Skills (e.g., text classification, sentiment analysis)
Deep Learning Model Training (e.g., CNNs, RNNs, Transformers)
Data Pipeline Development
Image Processing and Feature Extraction
Text Preprocessing Techniques

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights relevant experience in machine learning, particularly with frameworks like TensorFlow or PyTorch. Emphasise your skills in computer vision and NLP, as these are crucial for the role.

Craft a Compelling Cover Letter:In your cover letter, express your passion for brand protection and how your expertise aligns with Corsearch's mission. Mention specific projects or achievements that demonstrate your problem-solving skills and technical abilities.

Showcase Your Projects:If you have worked on any notable machine learning projects, especially those involving image recognition or text analysis, include them in your application. Provide links to your GitHub or portfolio to showcase your work.

Highlight Collaboration Skills:Since the role involves working with cross-functional teams, mention any previous experiences where you collaborated with others. Highlight your ability to communicate complex technical concepts to non-technical stakeholders.

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 or PyTorch. 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 your thought process when tackling complex challenges, particularly those related to model performance and optimisation.

Demonstrate Collaboration Skills

Corsearch values a collaborative culture, so be ready to discuss your experience working in cross-functional teams. Share examples of how you've successfully collaborated with data scientists and engineers to achieve project goals.