Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Researcher/Senior Researcher in Computer Vision and Machine Learning

SAMSUNG
Cambridge
1 month ago
Create job alert

Position Summary

Samsung AI Centre Cambridge was established in 2018 and it is an ambitious independent research centre targeting "Human-Centric AI" to enrich peoples’ lives using AI technologies.

We are seeking full-time, permanent Researchers in Computer Vision and Deep Learning to join the Future Interaction program. As a Researcher, your main task will be to develop breakthrough technologies in the area of Vision and Language. You are expected to conduct high-impact research targeting the top Computer Vision and Machine Learning venues, and to focus on solutions to key technical challenges of particular interest by Samsung. While the target is mid- to long-term research, upon maturity of the research, the team is expected to transfer the technology to product divisions and their Engineering teams, which will then be in charge of driving the commercialization.

Role and Responsibilities

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited to:

Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP).

Visual LLMs (e.g. LLaVA).

Generative Models (e.g. Stable Diffusion and Auto-Regressive models).

Efficient Architectures.

Model Compression (distillation, quantization).

Efficient Adaptation of Large Models.

Key Responsibilities:

Conduct hands-on innovative research, including methodological conceptualization and implementation.

Publishing at top venues: CVPR, ECCV, ICCV, ICLR, NeurIPS, ICML, EMNLP, ACL, TPAMI and IJCV.

Contribute to the research agenda and directions within the center.

Interact with product and engineering teams for the purpose of technology transfer.

Skills and Qualifications

Key Skills Required:

Research experience in the fields of Computer Vision and/or Machine Learning.

Familiarity with fast prototyping Deep Learning frameworks such as PyTorch.

A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL, ICML, TPAMI and IJCV).

Ability to communicate well and to collaborate with other group members.

Experience in the topics described above, or closely related topics, is a plus but not necessary.

What we offer:

An excellent research environment: autonomy to define a research agenda along the centre’s core lines, opportunities to collaborate with excellent researchers and to publish at top conferences.

Opportunity to transfer research into impact, and get your work reach millions of customers.

A top-tier package, on par with the top companies in the industry in Europe.

An excellent location at the heart of Cambridge, and at commute’s distance from London.

Hybrid working with 3 days onsite and 2 days working from home 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

Senior Research Scientist: Data Science and Machine Learning AIP

Apply Now: Applied AI ML - Senior Associate - Machine Learning Engineer...

Applied AI ML - Senior Associate - Machine Learning Engineer...

Urgent! Applied AI ML Lead - Senior Machine Learning Engineer - Commercial and Investment Bank...

▷ [3 Days Left] Applied AI ML Lead - Senior Machine Learning Engineer - Commercial and Investment Bank...

Senior Machine Learning Engineering Manager

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.

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.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.