National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Engineer

Corsearch
London
3 weeks ago
Create job alert

Trusted by over 5,000 customers worldwide, Corsearch delivers AI-powered data, deep analytics, and professional services that support brands to market their assets, drive growth, and optimise brand presence against infringement. 

Corsearch enables brand owners to discover, monitor and control the use and misuse of their brands and associated products and services online and is the industry market leader. 

Corsearch does this in an increasingly complex global digital environment, with online brand protection solutions that cover everything from anti-counterfeiting to anti-piracy.

Join Us_Email Banner_Dark Green BG.png

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 anML Engineeryou’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 inbrand protectionandonline 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 oncomputer vision(e.g., image recognition, object detection) andNLP(e.g., text classification, sentiment analysis, entity recognition).
  • Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such asreverse image search,image-text matching, andonline 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 least3 yearsof professional experience.
  • Strong proficiency in machine learning frameworks such asCatBoost,TensorFlow,PyTorch, orKeras.
  • Experience withimage processing,feature extraction, andtext preprocessing techniques.
  • Solid understanding of algorithms for tasks such asobject detection,image classification,text extraction, andsentiment analysis.
  • Hands-on experience withlarge datasetsanddata pipelinesfor 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.



Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer (SC Cleared)

Machine Learning Engineer | Cambridge | Consulting

Machine Learning Engineer

Machine Learning Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.