

Machine Learning Engineer - 3/4 Month Contract
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a 3/4 month contract, offering an hourly pay rate. Located in Staines-upon-Thames, UK, candidates should have a PhD in ML/AI, strong programming skills, and first-author publications in top conferences.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
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ποΈ - Date discovered
August 23, 2025
π - Project duration
3 to 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Staines-Upon-Thames, England, United Kingdom
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π§ - Skills detailed
#HTML (Hypertext Markup Language) #AI (Artificial Intelligence) #Distributed Computing #Programming #Debugging #PyTorch #Mathematics #Libraries #Calculus #Python #Visualization #Deep Learning #C++ #ML (Machine Learning) #NumPy #Statistics #Documentation #Java #Computer Science #Linux #R #Model Optimization
Role description
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:
β’ Conduct cutting-edge research to develop state-of-the-art solutions or propose novel research challenges based on real-world case studies in AI.
β’ Develop high-quality code with detailed documentation to support reproducible research in local and international AI communities.
β’ Review state-of-the-art research papers and develop prototype solutions.
β’ 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
β’ Pursuing or completed PhD in ML/AI, Computer Science/Engineering, or related disciplines.
β’ Proficiency in mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing).
β’ Strong fundamentals in Machine Learning, Computer Vision, and Deep Learning.
β’ 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.
β’ First-author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI).
β’ Experience in Linux environments.
β’ Proficiency in programming languages such as Python, Java, or C++.
β’ Experience with machine learning libraries like PyTorch, SciKit, NumPy, etc.
β’ Excellent communication skills, teamwork abilities, and a results-oriented attitude.
β’ Strong problem-solving and debugging skills.
Desirable Skills:
β’ Expertise in Image/Video generation, PEFT-LoRA, Diffusion/Autoregressive Models.
β’ Experience in Knowledge Distillation.
β’ Experience in computer graphics and rendering for visualization.
Location and Hybrid Working:
β’ The role is based at Samsung R&D Institute in Staines-upon-Thames, Surrey, UK.
β’ 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.
β’ 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
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:
β’ Conduct cutting-edge research to develop state-of-the-art solutions or propose novel research challenges based on real-world case studies in AI.
β’ Develop high-quality code with detailed documentation to support reproducible research in local and international AI communities.
β’ Review state-of-the-art research papers and develop prototype solutions.
β’ 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
β’ Pursuing or completed PhD in ML/AI, Computer Science/Engineering, or related disciplines.
β’ Proficiency in mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing).
β’ Strong fundamentals in Machine Learning, Computer Vision, and Deep Learning.
β’ 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.
β’ First-author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI).
β’ Experience in Linux environments.
β’ Proficiency in programming languages such as Python, Java, or C++.
β’ Experience with machine learning libraries like PyTorch, SciKit, NumPy, etc.
β’ Excellent communication skills, teamwork abilities, and a results-oriented attitude.
β’ Strong problem-solving and debugging skills.
Desirable Skills:
β’ Expertise in Image/Video generation, PEFT-LoRA, Diffusion/Autoregressive Models.
β’ Experience in Knowledge Distillation.
β’ Experience in computer graphics and rendering for visualization.
Location and Hybrid Working:
β’ The role is based at Samsung R&D Institute in Staines-upon-Thames, Surrey, UK.
β’ 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.
β’ 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