1 to 25 of 89 Neural Network Jobs in London

Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties … publications in top-tier conferences like CVPR, ECCV, ICCV, SIGGRAPH or similarSolid background in one or more of the following:(i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design;(ii) design ...

Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties … tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similarSolid background in one or more of the following:(i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design;(ii) design and test ...

real industrial pilots - and we’re growing the team to take it even further. About the Role We're hiring a Neural Network Performance Engineer to join our VLA team based in London. In this role, you will work on all aspects of running capable neural‐network based control policies at a high rate with minimal latency, both on cloud hardware and onboard. Your work will be critical to delivering smooth robot motions while reacting to environment changes as quickly as possible. What You'll Do Analyze performance bottlenecks of a particular model ...

identifying issues in control or teleop), and applied deep learning (you don’t have to be an expert on cutting edge neural network techniques, but you should be perfectly capable of curating data, fine-tuning a policy on that data and hypothesising potential mitigations when something doesn … research) with shipped artifacts to show for it. A good understanding of modern teleoperation and low-level control stack. Experience with neural network post-training. Familiarity with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training, PyTorch or JAX. Ability to profile & debug numerics and write ...

salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection ...

salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection ...

salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection ...

salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection ...

salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection ...

Thehumanoid is seeking a talented Neural Network Performance Engineer to improve the performance of neural network-based control policies in London. This role involves enhancing model efficiency, analyzing performance bottlenecks, and implementing optimizations for neural networks. The ideal candidate has significant experience ...

bots don’t know yet). You’ll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It’s all live lectures, tutor-led group work ...

building, and deploying production-grade AI and Machine Learning solutions at scale. Deep expertise in LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures. Hands-on experience with LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment. Good foundation ...

building, and deploying **production-grade AI and Machine Learning solutions** at scale.* Deep expertise in **LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures**.* Hands-on experience with **LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment**.* Good ...

Machine Learning Engineer - Spiking Neural NetworksSalary: 75,000 to 100,000Location: West LondonWorking arrangement: Predominantly office and customer-site based, with some … remote working availableEmployment: Permanent, full-timeMFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. ...

Machine Learning Engineer - Spiking Neural Networks Salary: £75,000 to £100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working … available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. ...

Agentic RAG systems is strong requirement.Experience with AI agent management frameworks such as LangChain, or similar tools.Experience with advanced algorithms in deep learning, neural networks, reinforcement learning, and transfer learning.Familiarity with traditional machine learning algorithms such as random forests, SVM, logistic regression, and Bayesian modelling for model building ...

working experience. Programming Language: Proficiency in Python. Solid understanding of data structures and algorithms. Proficient in Machine Learning, with a solid understanding of neural networks and the Transformer architecture. Familiar with foundational NLP tasks such as tokenization, Named Entity Recognition, and sentiment analysis. Experience with modern approaches built ...

humble and enthusiastic attitude. Preferred Qualifications, Capabilities and Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc. Experience in deep neural networks and familiarity with the latest developments in related fields. Experience in LLM model fine‐tuning and continuous learning techniques. Experience in prompt engineering ...

plane-fitting (e.g., RANSAC, PnP) to achieve sub-centimetre overlay accuracy and eliminate tracking drift. Translate research papers into real-time algorithms, optimising neural networks and spatial pipelines for low-latency execution on mobile NPUs, DSPs, and GPUs. Build spatial foundations that deliver seamless on-device AR experiences ...

deep learning frameworks (TensorFlow, PyTorch) alongside hands‐on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex relations between travel entities (e.g., users, destinations, itineraries, points of interest ...

deep learning frameworks (TensorFlow, PyTorch) alongside hands‐on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex relations between travel entities (e.g., users, destinations, itineraries, points of interest ...

extract maximum value for our customers. We will trust you with: Design and implement the compiler for next‐generation AI accelerator architectures, enabling new network topologies while maximizing chip performance and energy efficiency. Collaborate cross‐functionally with SDK team members as well as algorithm, architecture, and hardware teams … feedback to hardware engineers to refine future architectural designs based on insights gained from compiler optimizations. Stay at the forefront of neural network compiler technologies, introducing innovative solutions and industry best practices to the team. What will you need to succeed: Proficiency in Python and C++ programming ...

scalable algorithmic solutions to hard problems from the ground up Strong Machine Learning and Statistics knowledge; both in classical models and neural-network-style models Strong Software Engineering fundamentals Enthusiasm to learn and contribute to a culture of learning Advantageous - PhD (in a highly quantitative field) What ...

other leading platforms. Data Science Expertise: Knowledge of data science fundamentals, solution lifecycles, and MLOps methodology. Generative AI Knowledge: Experience with LLMs, neural networks, and recommendation systems. Frameworks: TensorFlow, PyTorch, Hugging Face, OpenAI tools. Certifications: Cloud or AI architecture certifications are a plus. About SDG Group ...

applicationsExperience with model performance evaluation and predictive model optimisation for accuracy and efficiencyWhat could set you apartExperience with specific AI techniques, such as neural networks or natural language processing. Knowledge of the financial services industry. Contributions to open-source AI projects. Experience with data visualization tools. Passion ...