Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Machine Learning Engineer - 3/4 Month Contract

SAMSUNG
Staines
5 days ago
Create job alert

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.

*

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer (SC Cleared)

Machine Learning Engineer - Computer Vision

Machine Learning Engineer

Machine Learning Engineer - Computer Vision

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.

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

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.

Pre-Employment Checks for AI Jobs: DBS, References & Right-to-Work and more Explained

The artificial intelligence sector in the UK is experiencing unprecedented growth, with companies across industries seeking talented professionals to drive digital transformation. However, securing a position in this competitive field involves more than just demonstrating technical expertise. Pre-employment checks have become an integral part of the hiring process for AI jobs, ensuring organisations maintain security, compliance, and trust whilst building their teams. Whether you're a data scientist, machine learning engineer, AI researcher, or technology consultant, understanding the pre-employment screening process is crucial for navigating your career journey successfully. This comprehensive guide explores the various types of background checks you may encounter when applying for AI positions in the UK, from basic right-to-work verification to enhanced security clearance requirements.