126 to 150 of 499 Permanent Deep Learning Jobs

promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal and key business … agenda and encouraging engagement from the D&A team Qualifications Technical Knowledge, Skills and Abilities: Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. ...

promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal and key business … agenda and encouraging engagement from the D&A team Qualifications Technical Knowledge, Skills and Abilities: Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating … classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days in office ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating … classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days in office ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating … classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days in office ...

frameworks, and tools; Champion responsible AI practices, including bias detection, explainability, and safety alignment. Требования: 5+ Years of professional experience building and deploying machine learning or AI systems in production; Proficiency in Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX; Strong foundation … machine learning, deep learning architectures, and natural language processing, particularly large language models; Experience with cloud platforms such as AWS, GCP, or Azure and MLOps tools for managing the AI lifecycle; Ability to write clean, efficient, well-tested code for scalable software systems; Strong problem-solving skills ...

000NottinghamData ScientistWe're working with a fast-growing UK AI company developing advanced machine learning technology around large-scale behavioural and transactional data. They're looking for an AI Engineer who enjoys sitting between research and engineering - taking new ideas across predictive ML, causal modelling and Generative … turning them into robust production systems. Where you'll make an impactTake new ML and AI models from research into productionWork across traditional ML, deep learning, transformers and Generative AIBuild solutions around large-scale, complex datasetsWork closely with researchers, academics, product and engineering teamsContribute to architecture and longer ...

Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed … team. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge AI and Machine Learning (ML) technologies at the firm.In this role, you will have the opportunity to contribute to various AI/ML domains, including but not limited ...

Expertise in designing, architecting, and implementing large-scale foundation models Significant hands‐on experience optimising and debugging deep learning models Practical experience with distributed or large-scale training and inference Deep understanding of at least one major deep learning framework (ideally PyTorch) Experience building … will do: Lead the research, development, and production deployment of Hypercritical's foundation model. Define the long-term technical strategy for high-performance Machine Learning systems. Optimize the model for peak performance across diverse hardware and ensure scalability for exponential user growth. Serve as the technical guardian ...

Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed … team. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting‐edge AI and Machine Learning (ML) technologies at the firm. In this role, you will have the opportunity to contribute to various AI/ML domains, including ...

through mentoring, workload and capacity visibility, regular reporting, and leadership of team engagement activities. Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R. Strong knowledge of AI frameworks such as TensorFlow or PyTorch. ...

wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services.We're looking for a Senior Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!What you’ll do:Develop ML-products and AI Lenses that serve … them) to keep Snap’s products at the cutting edgeEvaluate open-source Gen AI models and APIsKnowledge, Skills & Abilities:A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quicklyKnowledge of mathematics and deep learning foundationsExcellent verbal ...

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber … Data Scientist Manager at Kainos, you'll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership, engaging ...

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber … Data Scientist Manager at our client, you'll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership ...

leading electric vehicle manufacturer in Greater London seeks a Staff Software Engineer specializing in machine learning infrastructure. The ideal candidate will optimize deep learning performance on NVIDIA GPU systems and manage large-scale model training. Applicants should possess a PhD in Computer Science or equivalent experience … have substantial knowledge in PyTorch and deep learning frameworks. This role contributes directly to safety-critical self-driving technologies for innovative vehicles. #J-18808-Ljbffr ...

000NottinghamAI EngineerWe’re working with a fast-growing UK AI company developing advanced machine learning technology around large-scale behavioural and transactional data.They’re looking for an AI Engineer who enjoys sitting between research and engineering — taking new ideas across predictive ML, causal modelling and Generative AI and turning … them into robust production systems.Where you’ll make an impactTake new ML and AI models from research into productionWork across traditional ML, deep learning, transformers and Generative AIBuild solutions around large-scale, complex datasetsWork closely with researchers, academics, product and engineering teamsContribute to architecture and longer-term technical ...

Data Science & AI Consultant to work on complex, mission-focused programmes. This is an opportunity for a hands-on data science, machine learning or AI professional to work on projects where advanced technology can support better decision-making and improved operational outcomes. The Role You will work as part … Generative AI and Agentic AI , as well as contributing to client strategy and the development of future opportunities. Key Responsibilities Apply data science, machine learning and AI techniques to complex client challenges Explore data and develop models, prototypes and AI-enabled solutions Support the development and evaluation of solutions ...

adoption of new skills across different audiences and contribute to culture and social frameworks of UpSkill and client organisations. Adapt training materials to different learning environments and audiences, whether in-person or remote sessions. Stakeholder Engagement: Engage with a variety of stakeholders to understand their specific learning needs … such as AI, cloud technologies, or related fields, with a proven ability to engage participants, manage group dynamics, and adapt teaching methods to different learning styles Strong knowledge of AI technologies, including machine learning, deep learning, NLP, and computer vision. Experience with AI frameworks and tools. ...

Training frameworks (mainly TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe) Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance Proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch) Experience … your career with us! Desirable Experience working on OTT platforms Experience in Scala What the job involves Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis Data Pipeline Engineering: Construct and maintain robust and scalable ...

Company located in Pittsburgh, PA. Compensation: $90,000 - $100,000 per year, W2 Position Overview: This role seeks a professional who combines strong machine learning expertise with a genuine understanding of steel production processes. You will collaborate closely with process engineers and domain experts to enhance existing process models … driven techniques and advanced modeling methods to build robust solutions. Key Responsibilities: Partner closely with process engineers, metallurgists, and domain experts to develop a deep, working understanding of the underlying processes and the data they generate Translate process know-how into model structure (constraints, features, and relationships) rather than ...

nature is valued in real‐world decision‐making, we’d love to hear from you. Role Purpose & Responsibilities We are hiring a Machine Learning Scientist to contribute to the development of models – from classical statistics and gradient‐boosted methods through to deep learning when warranted – that turn … Must‐have requirements Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine‐learning experience, including time spent in an industry, product, or startup setting (shipping models). Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL ...

taking a leadership position in building an innovative and compliant market. You can read more here. Working at Wintermute You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time … book and market microstructure data. Design and maintain data pipelines, preprocessing, and feature extraction workflows tailored to streaming tick data. Research and implement advanced deep learning architectures for short-horizon forecasting and signal extraction. Collaborate with quant researchers and developers to integrate models into live trading environments. Optimise ...

failure modes and retraining criteria Stay current with advances in ML engineering, distributed training and biomedical AI tooling Required Qualifications Postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field; PhD preferred or MSc with equivalent industry experience Hands-on experience with deep learning … what is required to move from research prototypes to reliable deployment Experience collaborating with researchers during the implementation process Proficiency in Python and deep learning frameworks such as PyTorch Strong software engineering fundamentals such as writing clean, testable, well-documented and maintainable code, version control, code reviews Working ...

failure modes and retraining criteria Stay current with advances in ML engineering, distributed training and biomedical AI tooling Required Qualifications Postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field; PhD preferred or MSc with the equivalent industry experience Solid hands-on experience with deep learning and foundation model implementations such as transformers, pre-training, fine-tuning, ideally at scale Demonstrated experience delivering production-quality model artefacts, with a strong sense of what's required to move from research prototypes to reliable deployment Experience working in close partnership with researchers throughout the implementation ...

entity recognition. Optimize existing online algorithms, develop efficient and reliable NLP solutions by combining business needs and data. Explore applications of NLP techniques and deep learning algorithms in games. Follow the latest developments in academia and industry and quickly apply findings in your work. Qualifications Familiar with … fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on NLP related projects. Proficient in at least one programming language, familiar with basic data structures and algorithms. Practical experience working with large language models (e.g., DeepSeel, Qwen, LLaMA), including model fine-tuning, instruction ...