1 to 25 of 102 Deep Learning Jobs

making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/… Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams ...

implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much … applications and work with real robots inside and outside the lab to manage real-world use cases. A strong algorithmic background in scalable machine learning (e.g., reinforcement learning/imitation learning; multimodal foundation models) and experience with real robots/robot simulation and training setups are valued. ...

Crimeat Wise • London, United KingdomBack to jobs1. Home2. Jobs3. United Kingdom4. Staff Applied ML Engineer - Financial Crime57m agoW## Staff Applied ML Engineer - Financial CrimeWise10Machine Learning Engineering, Financial CrimeFull-timeGBP 145000 - 182000 yearly + RSUsLondon, United KingdomApply Job### Job DescriptionWise is a global technology company, building the best … market we operate in. Our Risk ML team is building the next generation of financial crime detection at Wise - investing in modern architectures like deep learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We're looking for a Staff Applied ...

Responsibilities Create state‐of‐the‐art machine learning models to solve real‐world problems and apply them to NLP, speech recognition and analytics, time‐series predictions, or recommendation systems. Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions … into production. Drive firm‐wide initiatives by developing large‐scale frameworks to accelerate the application of machine learning models across different areas of the business. Research and explore new machine learning methods through independent study, attending industry‐leading conferences, experimentation and participation in knowledge‐sharing community. Required Qualifications ...

Applied Machine Learning Scientist London (Hybrid - 2 days per week) £80,000 - £110,000 + Benefits An innovative technology company is building next-generation AI solutions that optimise complex physical systems. Backed by significant recent investment, they're growing their research team to develop machine learning models that … solve real-world engineering challenges at scale. This is an opportunity for an Applied Machine Learning Scientist to work on cutting-edge research where deep learning meets real-world infrastructure. You'll develop advanced machine learning models using large-scale sensor data, combining AI with physical ...

About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed … aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower‐level programming ...

About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack – from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed … artificial intelligence. Job Summary As a Research Scientist at Graphcore, you will advance AI research at the intersection of visual generative modelling, multimodal learning, world models and hardware‐aware machine learning. You will explore new model architectures, training methods and deployment strategies with applications in embodied AI, robotics ...

market we operate in. Our Risk ML team is building the next generation of financial crime detection at Wise - investing in modern architectures like deep learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We're looking for a Staff Applied … Wise's FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts. We operate with high ...

pretraining, and world-model objectives that turn multimodal data (video, action, state, language) into generalisable robot capabilities. Lead, grow, and mentor a team of deep learning engineers focused on pretraining, setting research direction and engineering standards. Design and run large-scale distributed training on multi-node GPU clusters … emerging VLA architectures, modalities, and training recipes, and decide what enters our production stack. What We're Looking For A track record of building deep-learning systems (industry or research), with shipped models or published artifacts to show for it, and experience leading a team or a major ...

probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis, machine learning and deep learning skills, using the results of their research to make forecasts and develop profitable predictive trading models. What … seeking research scientists with a demonstrated ability to apply deep learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design ...

Location: London, Amsterdam or Remote About the Role: Senior Deep Learning Researcher with a strong background in ML, mathematical statistics, and modern DL architectures . You will contribute to cutting-edge research in foundational models, including LLMs, multi-modal, multi-domain, and continual learning frameworks . … Mathematics, or a related field . Published research in A conferences (ICML, NeurIPS, ICLR, AAAI, KDD). Hands-on experience with deep learning architectures and foundational models . Strong programming skills ( Python preferred ). Whilst we carefully review all applications, to all jobs, due to the high volume ...

team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment. We are seeking a Machine Learning Team Lead with strong expertise in search and recommendation systems. In this role, you will lead a team of algorithm engineers, driving the design … seller creation. Drive experimentation and evaluation of algorithms, ensuring scalable deployment and continuous performance improvements. Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‐world challenges. Location: Work onsite in London. Minimum Qualifications ...

Science team is looking for a passionate, talented, and inventive Applied Science Manager with a strong background in speech models (understanding and generation) and deep learning, to lead a team building industry‐leading Generative AI technology with speech‐to‐speech models and multilingual systems. You will lead … accelerate advances in speech synthesis, voice quality, and pronunciation accuracy for non‐English locales. The ideal candidate possesses a solid understanding of machine learning, speech synthesis (TTS/S2S), multilingual phonetics, modern model architectures, and evaluation methodology. They thrive in a fast‐paced environment, tackle complex challenges ...

Machine Learning Engineer A fantastic opportunity for a Machine Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologies. You will work … alongside Software Engineers, Machine Learning specialists, and the wider tech team to deploy, integrate and optimise innovative machine learning models within highly advanced, real-world products. Location: Cambridge, Cambridgeshire, hybrid working with a minimum of 2 days per week in the office Salary ...

going to be the input for a blog on our website Be a Technical writer whose code would be used by the company for learning content in our blogs Have originality in content and be creative at the same time Plagiarism of any form is not accepted Full Stack … development Co‐ordinate with the technology team and assist them to ensure timely execution of new projects Lead initiatives like "automating scoring using machine learning techniques", "build asset allocation models", "build algorithms for automating financial planning framework", "build recommendation systems", "build system for automated fraud detection", etc Analyse data ...

curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research … participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced … personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious … personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious … personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced … personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious … personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves ...

work with a range of UK employers actively hiring across these roles About the Roles We're looking for experienced AI and Machine Learning Engineers at all levels—from AI Engineer and ML Engineer through to Senior, Lead, Applied Scientist and Research Engineer positions—for upcoming roles across applied … machine learning, generative AI, MLOps and model productionisation. These are hands-on engineering roles where you'll build, train, ship and operate the models that drive real product behaviour and real business outcomes. You'll work across the full ML lifecycle—from problem framing and data preparation through ...

services to deliver production-ready outcomes. Your role spans the full solution lifecycle—assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value … reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps. Customize and apply ...

public roads and tens of billions in simulation across 15+ U.S. states. The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judgement with advanced machine learning … novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors. Lead the development of cutting-edge deep learning models and generative AI (LLM/VLM) solutions to enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis ...

incident response, in a highly adversarial security context. How you can make an impact Lead research projects in the areas of computer vision, machine learning and biometrics. Develop and train deep learning models for face verification, liveness and attack detection. Take the lead on shaping data … broader research strategy of the company. What we would like to see from you At least 2‐3 years experience delivering machine learning or computer vision systems in an industry environment. Master’s or PhD in a numerate discipline such as Computer Science, Engineering, Computational Neuroscience. Proven experience ...