6 of 6 Machine Learning Researcher Jobs in the South East

Machine Learning Researcher - LLM/VLM Are you a PhD-educated Machine Learning Researcher looking for a new opportunity? If so, our client, a global consumer electronics company, is actively expanding their team. This role is based at one of their flagship AI centres … in Cambridge, Cambridgeshire. Key Responsibilities: As a Machine Learning Researcher, you will: Work on on-device LLMs and VLMs, as well as adaptive inference methods and mobile ML systems. Conduct cutting-edge research and translate findings into practical applications, contributing to the commercialisation of AI across millions … of devices. Design and develop groundbreaking machine learning algorithms and systems. Key Requirements: To be considered for this Machine Learning Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch More ❯

Machine Learning Researcher - LLM/VLM Are you a PhD-educated Machine Learning Researcher looking for a new opportunity? If so, our client, a global consumer electronics company, is actively expanding their team. This role is based at one of their flagship AI centres … in Cambridge, Cambridgeshire. Key Responsibilities: As a Machine Learning Researcher, you will: Work on on-device LLMs and VLMs, as well as adaptive inference methods and mobile ML systems. Conduct cutting-edge research and translate findings into practical applications, contributing to the commercialisation of AI across millions … of devices. Design and develop groundbreaking machine learning algorithms and systems. Key Requirements: To be considered for this Machine Learning Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch More ❯

Multimodal AI Researcher - PhD/Machine Learning/Python/C++ We're searching for a Multimodal AI Researcher to join out client on an initial 6 month contract working on a hybrid model in Surrey. This is a 6 month contract that would suit either … a PhD student looking for an internship or a PhD graduate seeking a 6 month contract. As a Multimodal AI Researcher, you will: Drive innovation by developing cutting-edge solutions to real-world problems in on-device audio-visual AI. Proactively propose and prototype novel research ideas, factoring in … development phases. Effectively communicate research findings through technical reports and/or academic publications. Required skills: Recent graduate or currently pursuing a Ph.D. in Machine Learning/AI, Computer Science/Engineering, Mathematics, Statistics, or a related field. Strong foundational knowledge in machine learning and artificial More ❯

MACHINE LEARNING RESEARCHER - Sports Betting/Trading HYBRID - Once per week in London £100,000 - £180,000 + generous benefits COMPANY: We are working with a successful company focused on building advanced platforms for sports betting analytics and trading. They are looking for an ML/Quant … researcher to join the team and drive innovation within the team. The quality of work you will be doing in this role is pivotal to the company and will have a high impact on their overall success. ROLE: Improve the predictive power of existing models based on fundamental data. … to research whichever methods you felt would be best suited to the problem at hand REQUIREMENTS: A strong mathematical understanding of the fundamentals of Machine Learning and core Statistics Experience in doing research on cutting-edge models either in industry or academia. Passionate about learning new skills More ❯

A tenured PM within a well-established global multi-strategy hedge fund is seeking to add a junior quantitative researcher to his systematic global macro team, based out of London. Working alongside another researcher, the successful hire will be expected to apply ML/data science research techniques More ❯

capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell embeddings for digital twin technology. • Multi-Omics Integration: Develop and refine foundation models across omics … in top ML conferences (e.g., NeurIPS, ICLR, ICML, CVPR). 2. Strong ML/Applied Math Background: Expertise in advanced ML techniques. 3. Deep Learning Experience: Building and scaling AI models for omics or high dimensional biological data. 4. Multi-Omics Integration : Experience developing foundation models across omics datasets. More ❯