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

View Open Roles

Natural Language Processing (NLP) Engineer - 3/4 Month Contract

SAMSUNG
Staines
5 days ago
Create job alert

Position Summary

We have an exciting opportunity available for an NLP Engineer to join the AI Research Team here at Samsung.

Samsung R&D Institute UK (SRUK) conducts cutting-edge research in AI to develop state-of-the-art solutions for real-world problems. The AI Research Team focuses on machine learning, deep learning, and natural language processing (NLP). Successful candidates will work on innovative AI projects and contribute to the dissemination of research outputs through conferences and journals.

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

Conduct cutting-edge research to develop solutions for AI challenges.

Develop high-quality code and documentation for reproducible research.

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

Publish findings in top-tier AI conferences and journals

Skills and Qualifications

PhD in ML/AI, Computer Science/Engineering, or related fields.

Strong fundamentals in Mathematics, Machine Learning, NLP and Deep Learning.

Hands-on experience in one of these areas: Generative AI, Parameter-efficient Fine-tuning, Model Compression, Foundation Models, Large Language Models (LLMs), Data/Model Privacy or Prompting Methods.

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

Proficiency in programming languages like Python, Java, or C++.

Experience with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy).

Experience in Linux environments

Excellent communication, teamwork, and problem-solving

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 for most roles.

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

Natural Language Processing (NLP) Engineer - 3/4 Month Contract

Researcher – NLP/Natural Language Processing

Lead Expert - Natural Language Processing and Machine Learning for Investment Metrics (Nice/FR or London/UK)

Lead Expert - Natural Language Processing and Machine Learning for Investment Metrics (Nice/FR or London/UK)

Senior Researcher, Natural Language Processing

Lead Expert - Natural Language Processing and Machine Learning for Investment Metrics (Nice/FR [...]

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.

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

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.