176 to 200 of 206 Deep Learning Jobs in England

kernel development, lower‐level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experience. At least two years of work experience building deep learning systems in any domain (robotics, biology, chemistry, physics, audio, video, recommendations, etc.). Experience translating methods between application areas is highly valued. ...

will have over 5 years of experience in AI systems, proficiency in Python and frameworks like TensorFlow, as well as expertise in NLP and deep learning. This position offers generous benefits and a hybrid work model. #J-18808-Ljbffr ...

leading electric vehicle manufacturer in the UK is looking for a full-time Machine Learning Engineer. The successful candidate will work on cutting-edge AI infrastructure aimed at developing state-of-the-art autonomous driving solutions. This role includes designing and deploying large deep learning models, enhancing … training pipeline, and requires a strong background in PyTorch. Applicants should have a PhD or equivalent experience and deep knowledge of AI technologies. #J-18808-Ljbffr ...

operating agent-based automation for CI, QA, or code-generation workflows Background in Rust or another systems language; interest in ML/applied deep learning Contributions to open-source Python or CLI tooling Additionally, this position is eligible for benefits including, but not limited to, medical, dental, vision ...

systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. We are looking for a fast‐paced, client‐obsessed Account Executive with ...

operating agent-based automation for CI, QA, or code-generation workflows. Background in Rust or another systems language; interest in ML/applied deep learning. Contributions to open-source Python or CLI tooling. Additionally, this position is eligible for benefits including, but not limited to, medical, dental, vision, retirement ...

JPMorgan Chase's Chief Data & Analytics Office seeks an Applied AI ML Director - NLP/LLM and Graphs to apply cutting-edge machine learning methods to complex tasks such as NLP, graph analytics, and time-series predictions. You will collaborate with business, technology, product, legal, and compliance teams … deploy solutions into production. The role emphasizes deep learning expertise, agentic AI, and strong communication skills, in a highly collaborative setting across the firm. #J-18808-Ljbffr ...

software engineering building great products that delight customers. Our company is made up of passionate people with expertise ranging from oil refining to deep learning but we know that there's a lot we don't know, and we're hoping you can help fill that gap. About … week in Camden Market What we’re offering 26 days of annual leave Home office set up allowance of £500 £2,000 annual learning allowance Generous parental leave policy Team lunches once a week in the office Subsidized gym classes, office gym, and cycle to work scheme. ...

about data centres and on‐premises infrastructure, enjoy assisting clients in overcoming their business challenges, possess a strong work ethic, and find joy in learning new things, this role is perfect for you. You will have the opportunity to work with a diverse range of clients, many of whom … cloud environments using Terraform, Ansible, etc. Desirable Skills & Abilities Certifications: CCNP qualifications or equivalent. Certifications: Nvidia qualifications or equivalent (e.g., NVIDIA Certified Professional, NVIDIA Deep Learning Institute certifications). Automation and orchestration tools and features and DevOps methodology (e.g., Terraform, Ansible, vendor specific tools like Cisco NSO). ...

London. This position involves enhancing neural network performance for robotic applications, ensuring efficient control policy execution. Candidates should have a strong background in deep learning, experience with performance optimization, and robust Python and PyTorch skills. The role offers valuable benefits including generous leave, healthcare support, and a collaborative ...

enterprise clients, spanning model selection, data prep, and scalable pipelines. You will work across business and technical teams to deliver production-ready systems, including Deep Learning, Gen AI, and LLM integrations, with a focus on reliability, value, and measurable impact. You will collaborate with stakeholders to justify model ...

experienced individual to architect 3D object detection models. The ideal candidate will have a Master’s or PhD in Computer Science, Robotics, or Deep Learning, and over 5 years of experience in deploying 2D/3D object detection models. Responsibilities include building data evaluation pipelines and mentoring junior ...

enhancing data methodologies that support environmental sustainability through improved waste analytics. Applicants should have extensive experience handling complex datasets and an understanding of deep learning technologies. #J-18808-Ljbffr ...

detection models to production. Experiment SOTA models’ performance. Mentor junior engineers about best practices. You have Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field. 5+ years of focused experience in architecting and deploying 2D/3D object detection models. Worked on entire ...

tokenisation, preferably in the context of audio, speech, or video. A demonstrated ability to prototype quickly, test hypotheses, and iterate efficiently. Proven experience training deep learning models end‐to‐end, from data preparation through evaluation. Strong general software engineering skills, enabling contributions to a large, shared research infrastructure. ...

operating agent-based automation for CI, QA, or code-generation workflows. Background in Rust or another systems language; interest in ML/applied deep learning. Contributions to open-source Python or CLI tooling. Benefits Additionally, this position is eligible for benefits including, but not limited to, medical, dental, vision ...

Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources … suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks ...

ownership of the infrastructure that powers the AI training. This is not a conventional infrastructure role. You will work at the intersection of machine learning, distributed systems, cloud computing, and robotics, building the platforms that enable cutting‐edge research to become production‐ready technology. You may need to build … influencing the technical direction of the company from an early stage. Qualifications Engineers may come with experience building high‐performance infrastructure for machine learning or other compute‐intensive workloads. You may have worked in AI infrastructure, platform engineering, high‐performance computing, or a related field. Experience with distributed training ...

Boston Dynamics is hiring a Staff ML Research Scientist for the Machine Learning Safety R&D Team. You will research, design, and build innovative ML models and algorithms to run on our robots, enabling safe operation around people and advancing Embodied AI. Role requires deep learning expertise ...

start-up mentality every step of the way - meaning you'll have the opportunity to make a real impact. As a Lead Machine Learning Scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver … expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Our Machine Learning team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people ...

scratch, channelling our start-up mentality every step of the way – meaning you’ll have the opportunity to make a real impact. Lead Machine Learning Scientist – International Consumer Bank Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications … design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Responsibilities Lead the development and maintenance of machine learning models to solve complex business problems. Develop the technical skills of junior colleagues through mentorship and training. Collaborate with cross‐functional teams to identify opportunities ...

than comparable genomic foundation models. We are looking for a Senior Bioinformatics Scientist to join our Genomics team in London, working closely with our deep-learning modelling, engineering, and translational teams. You will focus on defining what data our models require, what “good data” means and validating through ...

Job Description – Senior AI/ML Engineer Location: Melbourne (hybrid, 3+ days a week in our Melbourne office) About Artificial Analysis Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and ...

London is seeking Research Engineers to enhance their simulation engine, working on AI personas that reflect human behavior. Candidates should have experience in deep learning, proficient Python skills, and a strong statistical foundation. The role involves building AI societies, training models, and developing evaluation systems. This ...

will define data needs for AI models, ensure high-quality ground truth, and validate foundational model success with rigorous evaluations. You will work with deep-learning, engineering, and translational teams to shape data requirements, provenance, and performance, contributing across the data lifecycle and ensuring reproducibility. #J-18808-Ljbffr ...