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

Apply Now

Machine Learning Engineer - 2/3 Month Contract

Samsung Electronics America
Staines-upon-Thames
1 week ago
Create job alert
Position Summary

Machine Learning Engineer to join the AI Research Team at Samsung. Samsung Research and Development Institute, UK (SRUK) conducts cutting-edge applied research on the foundations and challenges of artificial intelligence (AI) to develop state-of-the-art solutions for real-world large-scale problems. The department disseminates research outputs in local and international research communities through seminars, top-tier conferences, and journals. Successful candidates will work on diverse AI fields, including machine learning, deep learning, and computer vision, as part of the AI Research Team. This is an outsourced contract role working via one of our preferred recruitment agencies on an hourly rate. We are looking for someone to join ASAP and the contract will run until 31st Dec 2025.


Role and Responsibilities

As a forward-thinking company, we seek individuals passionate about pushing the boundaries of AI:



  • Conduct cutting-edge research to develop state-of-the-art solutions or propose novel challenges based on real-world case studies in AI.
  • Develop high-quality code with detailed documentation to support reproducible research in AI, focusing on computer vision, image processing, and deep learning models.
  • Review state-of-the-art research papers and create prototype solutions.
  • Publish 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

Required Skills



  • Pursuing a PhD or holding a 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 at least one of the following areas:

    • Differential privacy and its applications.
    • Model conversion and inferring AI models in trusted execution environments.
    • Model inversion and data reconstruction attacks.
    • Integration of AI models in privacy settings.


  • 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.
  • Excellent communication skills, teamwork abilities, and a results-oriented attitude.
  • Proficiency in problem-solving and debugging.

Desirable Skills

  • Expertise in data/model privacy.
  • Knowledge of trusted execution environments.
  • Knowledge of image/video/natural language generation and discrimination tasks.
  • Professional software development experience with C++ or Python.
  • Experience in computer graphics and rendering for visualization.

Work Location

The role is based at the Samsung R&D Institute in Staines-upon-Thames, Surrey, UK. A hybrid working policy allows a maximum of 2 days a week to be worked from home for most roles.


Samsung has a strict policy on trade secrets. Candidates must not disclose any trade secrets of previous employers during the recruitment process.


Privacy Policy information: The privacy policy can be reviewed on Samsung membership. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please review the Privacy Notice for EU on Samsung's site.


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.