101 to 125 of 127 Deep Learning Jobs in the UK

Tableau, Looker,… Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may more »

Tableau, Looker,… Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may more »

Skills and Experience: Hold a Master's or PhD in Computer Science, Engineering, or a similar discipline. 1-3 years of experience in machine learning and computer vision, with a focus on the practical use of generative models. Skilled in Python, with a willingness to adapt to other programming … languages and tools as needed. Experienced with deep learning platforms like PyTorch, and able to quickly learn new technologies. more »

Skills and Experience: Hold a Master's or PhD in Computer Science, Engineering, or a similar discipline. 1-3 years of experience in machine learning and computer vision, with a focus on the practical use of generative models. Skilled in Python, with a willingness to adapt to other programming … languages and tools as needed. Experienced with deep learning platforms like PyTorch, and able to quickly learn new technologies. more »

InstaDeep is looking for a Research Scientist to join our team working at the intersection of machine learning (ML) and cryo-electron microscopy and tomography (Cryo-EM/ET). The determination and study of 3D molecular structures can offer fundamental insights into the mechanisms that govern most cellular … ET are powerful tools for determining high-resolution structures of biomolecules in near native state. As these imaging techniques generate significant raw data, machine learning has great potential to accelerate and improve many stages of the processing pipeline; from particle picking and annotation, to reconstruction of 3D electron density … to work in the location you are applying for. Responsibilities: Collaborate within in-house and external experts in computational and structural biology, and machine-learning, to implement, develop and test new technologies. Use established tools and databases to build, explore and analyse biological datasets and systems Contribute to the more »

Machine Learning Engineer at Cerberus Capital Management As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and … other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. Cerberus Capital Management (CCM) is a private equity firm with partial or full ownership stakes in … together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos for deployment more »

adaptable and able to demonstrate that you have: A PhD or similar Post-Graduate qualification in a relevant field Experience with one or more Deep Learning framework (PyTorch preferred) for Graph-based AI High proficiency in one or more programming languages (Python preferred) A track record of writing … academic publications Excellent written and verbal communication skills The following skills are desirable: -Large scale/parallel computing -Multi-modal or explainable machine learning methods -Working with knowledge graphs and graph databases Achieve together We want the best people on our team, so we welcome and encourage applications from more »

An intriguing opportunity for a Machine Learning Processor Architect with an early-stage start-up developing a unique new processor technology. Our client has offices in London and Oxford, however remote working is also possible. Here the Machine Learning Processor Architect will join as one of the early … and drive new architectural features for next generation hardware, and evaluate performance of cutting-edge AI workloads. The right candidate: This role of Machine Learning Processor Architect requires someone that understands the ins and outs of computer architecture, and the nuances of what it takes to optimise and trade … off various aspects of hardware-software co-design. Past experience working on performance architecture of GPUs/AI Accelerators is required, with experience with deep learning frameworks (such as PyTorch, Tensorflow). Our client is open to considering candidates at various levels of experience, provided they have the more »

We're working with an award-winning Cambridge company that develops deep learning software solutions for the life sciences. Come join an open-minded and collaborative R&D team as a Principal Java Engineer, as they design and develop their new platform. This role is what you make more »

development process. Requirements: - Strong experience in AI-led projects, preferably within the Defence/Security sector. - Proficiency in AI technologies, for example LLM's, deep learning and natural language processing. - Expertise in programming languages such as Python and Java with a focus on AI application development. - Familiarity with more »

Models. -High level programming skills in languages such as Java, C/C++, R & Python. -Knowledge and experience of SOA NLP APIs & ML/Deep Learning frameworks. -Experience translating user requirements into workflow designs/specifications. -Skilled in constructing and refining data processing pipelines including workflow management technologies more »

Models. -High level programming skills in languages such as Java, C/C++, R & Python. -Knowledge and experience of SOA NLP APIs & ML/Deep Learning frameworks. -Experience translating user requirements into workflow designs/specifications. -Skilled in constructing and refining data processing pipelines including workflow management technologies more »

high-risk, high-reward position. It involves a great deal of uncertainty, but for the right candidate, there is a huge upside potential for learning and exposure. If the above excites you, keep reading - we might be a fit! About Bench We’re on a mission to build the … new technologies and operate in highly unpredictable settings. Proven ability to design, develop, and deploy scalable full-stack applications using modern technologies. Expertise in deep learning methodologies, including model development, training, and optimisation using PyTorch and TensorFlow. Strong Candidates May Also Have Experience working with hardware - through a more »

high-risk, high-reward position. It involves a great deal of uncertainty, but for the right candidate, there is a huge upside potential for learning and exposure. If the above excites you, keep reading - we might be a fit! About Bench We’re on a mission to build the … new technologies and operate in highly unpredictable settings. Proven ability to design, develop, and deploy scalable full-stack applications using modern technologies. Expertise in deep learning methodologies, including model development, training, and optimisation using PyTorch and TensorFlow. Strong Candidates May Also Have Experience working with hardware - through a more »

in AI, Computer Science, or related area with considerable experience in at least one of the following areas: Audio Synthesis, Music Information Retrieval, Generative Deep Learning. Strong coding skills in Python and a track record of implementing research papers in PyTorch. Experience with preparing, preprocessing and training on extremely more »

equity markets, volatility modeling, and derivative instruments. Strong Programming skills e.g. R, Python, SAS, SQL or other languages Plus: Experience using applied ML/Deep Learning packages more »

and structure-from-motion/SLAM · Experience with robotics, high-performance real-time computer vision applications · Motion capture and human modelling · Experience of using deep learning for computer vision problems · Experience of other sensing modalities such as IMU more »

PIMPL, Type casting etc Strong skills in Python programming. Experience with GPU programming and parallel computing is highly desired. Practical exposure to AI and deep learning techniques, with practical experience in developing models in Computer Vision. Proficiency with OpenVINO and OpenCV for model deployment and optimization. Strong problem more »

Blockchain company specialising in all aspects of computer architecture relating to CPU's, GPU's and customer accelerators! My client also integrates advanced machine learning algorithms, neural networks, and state-of-the-art deep learning techniques into modern blockchain grafts. What’s Required? For this ML/ more »

Blockchain company specialising in all aspects of computer architecture relating to CPU's, GPU's and customer accelerators! My client also integrates advanced machine learning algorithms, neural networks, and state-of-the-art deep learning techniques into modern blockchain grafts. What’s Required? For this ML/ more »

research team on developing their internal LLM platform. We are looking for abstract thinkers who have ideally worked on a variety of problems across Deep Learning and Vision, before solving complex NLP/LLM problems. To be successful in the role, you’ll be required to work closely more »

and deployed. Initially our focus is small scale production. You will be highly proficient in coding in Python and have proven experience in machine learning/deep learning. You’ll have the skills to build scalable ML applications by yourself and deploy these applications in the cloud as … a hybrid working arrangement. What we are looking for: Approx. 3+ years industry experience in software engineering Solid software design principles Understanding of machine learning Knowledge of common software engineering best practices e.g. test-driven development, version control, CI/CD, containerisation Strong Python skills, including production-level experience … Some knowledge of AI and machine learning, with a focus on Generative AI and Large Language Models (LLMs). Experience implementing microservice architectures Experience with at least one common cloud provider (AWS, GCP, Azure) Desirable: Experience in AI-focused software development, especially with LLMs. Comfortable working with classic ML more »

track the trees that they plant and ensure the local farmers are paid fairly via their sales platform, which is decentralised. The product includes deep learning AI models and runs in a hybrid cloud environment, predominantly in Azure but also with some AWS features. Seeking a hands-on more »

track the trees that they plant and ensure the local farmers are paid fairly via their sales platform, which is decentralised. The product includes deep learning AI models and runs in a hybrid cloud environment, predominantly in Azure but also with some AWS features. Seeking a hands-on more »

on data standardization, data contextualization, Unified name spacing, and data consolidation for IIoT implementations. Must have good understanding and exposure around AI and Latest Deep learning models around Predictive and preventive Asset Maintenance/monitoring in OT space specifically for utility area. Experience in deployment of security controls more »