26 to 50 of 64 Neural Network Jobs in London

Experience in SOME of the following predictive modelling techniques e.g. Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets Experienced in the use of a programming language (e.g. R, Matlab, Python or Octave) Experience of using Emblem and Radar Highly numerate with excellent attention to detail Ability More ❯

technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing … can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to … and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and More ❯

SentencePiece, byte tokenisation), embedding models (e.g. OpenAI Ada, text-embedding-3-large), and their performance implications. Familiarity with knowledge graphs (e.g. Neo4j, LangDB, in-memory graphs) and graph neural networks for reasoning. Strong grounding in probabilistic models , causal inference , and AI reasoning approaches. Hands-on experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows. Solid understanding of More ❯

SentencePiece, byte tokenisation), embedding models (e.g. OpenAI Ada, text-embedding-3-large), and their performance implications. Familiarity with knowledge graphs (e.g. Neo4j, LangDB, in-memory graphs) and graph neural networks for reasoning. Strong grounding in probabilistic models , causal inference , and AI reasoning approaches. Hands-on experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows. Solid understanding of More ❯

You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. **Please note, as projects are defence related, you will need to More ❯

and theoretical skills. It would be nice if you also had: Experience of international standardization is considered a significant benefit (e.g. JVET, MPEG). Experience in AI/neural networks based video compression Knowledge on emerging video formats (360-degree compression, 6DOF video/image processing) A track record of patent creation and publishing in scientific journals in More ❯

working together to deliver an Autonomous Driving product. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Youll be working across our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving. Challenges More ❯

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development More ❯

With access to 170m+ people in over 100 global markets, we offer unrivalled global reach with local relevancy. Validated by industry leading anti-fraud technology, Kantar's Profiles Audience Network delivers the most meaningful data with consistency, accuracy, and accountability - all at speed and scale. We're the world's leading data, insights, and consulting company; we shape the … of Kantar might I be joining? You'll be joining our Profiles division, home to specialists in survey design, sampling and data science. With the world's largest audience network (over 170 million people), we're trusted by many of the worlds leading brands to provide amazing insights from real people. We shape the brands of tomorrow by better … With access to 170m+ people in over 100 global markets, we offer unrivalled global reach with local relevancy. Validated by industry leading anti-fraud technology, Kantar's Profiles Audience Network delivers the most meaningful data with consistency, accuracy, and accountability - all at speed and scale. Job Details We're the world's leading data, insights, and consulting company; we More ❯

can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to … following skills: Core Data Science & Machine Learning Strong professional experience in data science, machine learning, and business analytics Hands-on experience with ML techniques such as XGBoost, deep neural networks, and transformers Practical knowledge of ML libraries and frameworks such as Fastai, Keras, TensorFlow, PyTorch, and Scikit-learn Ability to research, understand, and apply emerging machine learning techniques More ❯

our Quantitative Trading & Market Making desk by developing market making and quoting strategies across equity products, from cash to derivatives. Utilize advanced statistical analysis and techniques such as neural networks to build models that inform systematic trading and risk management decisions in real time. Implement frameworks for centralized risk management and construct optimal portfolios across asset classes using More ❯

our Quantitative Trading & Market Making desk by developing market making and quoting strategies for equities, from cash to derivatives. Develop models using advanced statistical and quantitative techniques, including neural networks, to inform systematic trading strategies and real-time risk management decisions. Create frameworks for central risk management and optimal portfolio construction across asset classes using factor models and More ❯

Role Responsibilities Lead our Quantitative Trading & Market Making desk, developing market making and quoting strategies for equities, from cash to derivatives. Apply advanced statistical analysis and techniques like neural networks to create models that inform systematic trading and risk management decisions in real time. Develop frameworks for risk management and portfolio optimization across asset classes using factor models More ❯

clients and the firm. Role Responsibilities Lead our Quantitative Trading & Market Making desk, developing strategies for equities, derivatives, and cash products. Apply advanced statistical and AI techniques, including neural networks, to build models that inform systematic trading and risk decisions in real time. Develop frameworks for risk management and portfolio optimization across asset classes using factor models and More ❯

You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to More ❯

looking to hire incredible talent in London to advance our mission of building real-time multimodal intelligence. In this role, you'll: • Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art (SOTA) in alternative architectures (e.g., state space models, efficient Transformers, hybrid architectures). • Design novel architectures that improve model quality More ❯

the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, were building AI that understands the structures of thought , not just patterns in data. Our approach combines rigorous research with fast-paced, results-driven execution. Were reimagining the More ❯

the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, were building AI that understands the structures of thought , not just patterns in data. Our approach combines rigorous research with fast-paced, results-driven execution. Were reimagining the More ❯

Gaussian Splatting" "Immersive Light Field Video with a Layered Mesh Representation" Qualifications Qualifications & Experience Deep understanding of modern AI algorithms, including differentiable systems and backpropagation techniques, beyond just neural networks. Strong mathematical background. Proficiency in programming languages and frameworks such as: PyTorch or TensorFlow Python C/C++ and CUDA (ideally) Fluent in English Minimum of 2 years More ❯

technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. As a team: The Data … structured and unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries eg. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of More ❯

s, with a focus on robotics/automation. It is not essential to have experience in Autonomous Vehicle Control. Experience of computer vision systems/Advanced visual perception. Neural Networks Signal & Image Processing Algorithmic knowledge of supervised/unsupervised machine learning systems and deep learning API/principles Python/C++. OpenCV, Ubuntu/Debian This is an More ❯

subject. Hands-on coding skills in Java, C#, C++, Rust, or similar. (Regrettably, scripting languages alone won't be sufficient.) A strong understanding of large language models or neural networks would be advantageous. The company are based in Central London location with excellent transport hubs and amenities nearby. Interested? Send your CV to ECM Selection; whilst we can More ❯

our Quantitative Trading & Market Making desk, building market making and quoting strategies across equities products from cash to derivatives. Use advanced statistical analysis and quantitative techniques such as neural networks to build models that drive systematic strategies which make trading and risk management decisions in real time. Implement frameworks to manage risk centrally and build optimal portfolios across More ❯

Role Responsibilities Lead our Quantitative Trading & Market Making desk, developing market making and quoting strategies for equities, from cash to derivatives. Apply advanced statistical and quantitative techniques, including neural networks, to build models that support systematic trading strategies and real-time risk management decisions. Develop risk management frameworks and construct optimal portfolios across asset classes using factor models More ❯

our Quantitative Trading & Market Making desk by developing market-making and quoting strategies across equity products, from cash to derivatives. Employ advanced statistical and quantitative techniques, such as neural networks, to develop models that inform systematic trading and risk management decisions in real-time. Implement risk management frameworks and construct optimal portfolios across asset classes using factor models More ❯