Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning Engineer - 3/4 Month Contract

Samsung Electronics Perú
Staines
1 week ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (SC Cleared)

Machine Learning Engineer - Computer Vision

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer - Computer Vision

Machine Learning Engineer

* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page.
If you are a resident of the European Union or the European Economic Area,please click here .If you are a resident of theU.S., please click here . If you are a resident of the Philippines, please click here . If you are a resident of Korea click here .
* Please visit Samsung_Jobs to see job posting in Samsung Manufacturing subsidiaries.
* If you would like to be notified of new opportunities when they are posted, please click here . You will be asked to create an account first if you do not already have one.

This site uses cookies to offer you a better browsing experience.
□Mandatory Cookies (Strictly necessary for the career site to function and expire at the end of thesession)
- Session management cookies: user, device and session ID cookies along with timestamp cookies for timing out sessions after inactivity.
-Application Security Management (ASM) cookies : to help protect web infrastructure from security attacks.
-Routing cookies: to forward requests for a single session to the same server for consistency of service.
□Configurable Cookies (Optionally selected by user for the career site to function)
-LinkedIn cookies : to apply for open positions using users’ LinkedIn Profile.(Expiring at the end of the session)
If you agree to allow configurable cookiesto be placed, please click the 'Accept Cookies'.

Machine Learning Engineer - 3/4 Month Contract page is loaded

Machine Learning Engineer - 3/4 Month ContractApply remote type Hybrid locations Communications House,, Staines-Upon-Thames, United Kingdom posted on Posted 4 Days Ago time left to apply End Date: October 22, 2025 (30+ days left to apply) job requisition id R107800

Position Summary

We currently have an exciting opportunity available for a Machine Learning Engineer to join the AI Research Team here at Samsung.

The Samsung Research and Development Institute, UK (SRUK), conducts cutting-edge applied research on AI foundations and challenges to develop state-of-the-art solutions for real-world large-scale problems. The AI Research Team focuses on diverse AI fields, including machine learning, deep learning, and computer vision.

This is an outsourced contract role working on an hourly rate via one of our preferred recruitment agencies. The contract will run until 31st Dec 2025.

Role and Responsibilities

As a forward-thinking company at the forefront of innovation, we seek an individual passionate about pushing the boundaries of AI:

  • Conduct cutting-edge research to develop state-of-the-art solutions or propose novel research challenges based on real-world case studies in AI.

  • Develop high-quality code with detailed documentation to support reproducible research in local and international AI communities.

  • Review state-of-the-art research papers and develop prototype solutions.

  • Publish findings in top-tier conferences and journals, such as NeurIPS, ICML, ICLR, EMNLP, CVPR, ICCV, ECCV, AAAI, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, and JMLR.

Skills and Qualifications

  • Pursuing or completed PhD in ML/AI, Computer Science/Engineering, or related disciplines.

  • Proficiency in mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing).

  • Strong fundamentals in Machine Learning, Computer Vision, and Deep Learning.

  • Hands-on experience in areas such as Generative AI, Foundation Models, Parameter-Efficient Fine-Tuning (PEFT), Data/Model Privacy, or Model Optimization for Multi-Task Learning.

  • First-author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI).

  • Experience in Linux environments.

  • Proficiency in programming languages such as Python, Java, or C++.

  • Experience with machine learning libraries like PyTorch, SciKit, NumPy, etc.

  • Excellent communication skills, teamwork abilities, and a results-oriented attitude.

  • Strong problem-solving and debugging skills.

Desirable Skills:

  • Expertise in Image/Video generation, PEFT-LoRA, Diffusion/Autoregressive Models.

  • Experience in Knowledge Distillation.

  • Experience in computer graphics and rendering for visualization.

Location and Hybrid Working:

  • The role is based at Samsung R&D Institute in Staines-upon-Thames, Surrey, UK.

  • Samsung operates a hybrid working policy of 3 days onsite and 2 days remote weekly.

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.

* Please visit Samsung membership to see Privacy Policy, which defaults according to your location, at: https://account.samsung.com/membership/policy/privacy . You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here : https://europe-samsung.com/ghrp/PrivacyNoticeforEU.html

Similar Jobs (1)Natural Language Processing (NLP) Engineer - 3/4 Month Contractremote type Hybrid locations Communications House,, Staines-Upon-Thames, United Kingdom posted on Posted 4 Days Ago time left to apply End Date: October 22, 2025 (30+ days left to apply)About Us

Job Alerts: If you would like to be notified of new opportunities when they are posted, please click here . You will be asked to create an account first if you do not already have one.

Samsung Electronics is a global leader in technology, opening new possibilities for people everywhere. Through relentless innovation and discovery, we are transforming the worlds of TVs, smartphones, wearable devices, tablets, digital appliances, and network systems, and the entire semiconductor industry with our memory, system LSI, foundry, and LED solutions. Samsung is also leading in the development of the Internet of Things through, among others, our Smart Home and Digital Health initiatives.

Since being established in 1969, Samsung Electronics has grown into one of the world’s leading technology companies, and become recognized as one of the top global brands. Our network now extends across the world, and Samsung takes great pride in the creativity and diversity of its talented people, who drive our growth. To discover more, please visit our official newsroom at ( https://news.samsung.com/global/ ).


#J-18808-Ljbffr

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.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.