Business Analytics or related fields At least 8 - 10 years of experience in a consultancy role focused on innovation/data science/AI Deep knowledge of AI technologies (intelligent automation, machine learning, deeplearning, LLMs, LRMs, autonomous agents and agentic workflows) and AI frameworks Hands More ❯
from day one. Role Summary You will spearhead the development, optimization, and deployment of cutting‐edge algorithmic strategies and quantitative models. The position blends deep hands‐on technical work with high‐level strategic oversight across research, engineering, and trading operations. Key Responsibilities Quantitative Strategy Development & Research Algorithm Design: Lead … the creation and refinement of proprietary trading algorithms rooted in the firm’s market framework, leveraging advanced statistical and machine‐learning techniques. Modeling & Simulation: Build forecasting, signal‐generation, and risk models; run rigorous back‐tests and simulations to validate performance. Data Analysis: Mine large, heterogeneous datasets (market microstructure, alternative … data, etc.) for actionable insights. Innovation: Continuously evaluate emerging research (deeplearning, reinforcement learning, agent‐based modeling) to sharpen our edge. Technical Infrastructure & Implementation System Architecture: Partner with engineering to design high‐throughput trading systems that scale globally. Software Development: Oversee codebases in Python, C++, Java, or More ❯
months) | Full-Time (40 hours/week) Location: Remote/Hybrid About the Role: We are seeking a Senior or Lead Data Scientist with deep expertise in Generative AI, NLP, DeepLearning, and Machine Learning to join an innovation-focused AI Center of Excellence. In this … drive transformation across the organization. Key Responsibilities: Lead the development and deployment of AI/ML models with a focus on LLMs, NLP, and deep learning. Collaborate with cross-functional teams to integrate AI capabilities into products and workflows. Conduct research, model fine-tuning, and validation using frameworks like More ❯
Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting problems in … machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development is essential, and … they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimisation methods Deeplearning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote work More ❯
developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deeplearning, bandits, causal inference, optimization, ranking and recommendation. AI - Our AI teams are spearheading the research and development, presenting innovations at various conferences. … Explore our team’s publications and research here . What You’ll Do? As a Principal Machine Learning Engineer in the ShareChat AI team, you will play a pivotal role in defining and executing the ML strategy across key business domains. You will serve as one of the senior … most individual contributors in machine learning, with opportunities to lead and contribute to multiple high-impact areas such as: Recommendation Systems : Deliver a world-class personalized user experience by driving innovations in feed ranking and content recommendation. Trust & Safety : Safeguard the platform using advanced multi-modal models and behavior More ❯
Staff Machine Learning Engineer Who are we and What do we do? ShareChat () is India's largest homegrown social media company, with 325+ million monthly active users across all its platforms including Moj, a leading short video app which was launched in a record 30 hours in 2020. It … developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deeplearning, bandits, causal inference, optimization, ranking and recommendation. AI - Our AI teams are spearheading the research and development, presenting innovations at various conferences. … and content stakeholders Preferred Qualifications Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or PyTorch Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines Deep understanding of the mathematical foundations of Machine LearningMore ❯
talented scientists, engineers and project managers on multi-faceted technical challenges. Grow your technical and analytical skills - Develop in an environment that supports continuous learning and professional development. About You You’ll be working with an established team that brings together deep technical expertise and a shared drive … relevant postgraduate degree in a technical or scientific field Additional experience that would be beneficial: Exposure to LiDAR or GPR data Understanding of machine learning or deeplearning models An interest in geophysics, environmental data or similar domains The ability to balance multiple projects and contribute across More ❯
on a mission to drive circularity in the fashion and textile industry. We are pioneering AI-powered textile waste sorting, combining machine vision and deeplearning to optimise the availability of textiles for closed-loop recycling. We have an established machine learning pipeline for textile and fibre … piloting and deployment. This role is a unique opportunity for engineers who are passionate about AI, sustainability, and solving complex problems, with experience in deep tech integration. We are seeking individuals who are excited about working in an early stage startup environment, where resilience and problem solving are key … hardware, including illumination systems, hyperspectral near-infrared and RGB cameras. Design and prototype cost-effective and scalable imaging hardware solutions. Support integration of machine learning models with imaging hardware and Edge processing. Work on automation aspects of the textile sorting system. Conduct real world testing and refine hardware/ More ❯
product development . Proven track record in building and deploying LLMs, RAG, and GenAI-powered solutions . Strong hands-on experience in NLP, ML, deeplearning, and AI architecture . Leadership in managing AI researchers, ML engineers, and data science teams . Experience driving AI adoption and commercialization More ❯