326 to 350 of 503 Permanent Deep Learning Jobs

seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The Models team builds the foundational models that power our cutting-edge agentic … enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation ...

availableEmployment: Permanent, full-timeMFK Recruitment is recruiting a Full Stack Python Developer for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions for defence, security and other demanding real-world environments.The company specialises in computer vision, perception and autonomy, combining modern deep learning … user interfaces for complex AI and computer vision workflows.Develop applications for image analysis, video review and AI visualisation.Create tools for generating and managing Machine Learning training datasets.Integrate AI capabilities and applications with existing customer systems.Develop software interfaces and integrated workflows that improve existing processes.Work with customers to understand their ...

availableEmployment: Permanent, full-timeMFK Recruitment is recruiting a Full Stack Python Developer for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions for defence, security and other demanding real-world environments. The company specialises in computer vision, perception and autonomy, combining modern deep learning … complex AI and computer vision workflows. Develop applications for image analysis, video review and AI visualisation. Create tools for generating and managing Machine Learning training datasets. Integrate AI capabilities and applications with existing customer systems. Develop software interfaces and integrated workflows that improve existing processes. Work with customers ...

existing product lines we have, that millions of patients use, and build out new ones at the very cutting edge of healthcare reinforcement learning and agentic AI. Your work will save countless lives. Do you want to use your medical knowledge to build something awesome? Ever feel like … deal this is?!’ Since Day 1 (as written in our YC application), we’ve been building towards the holy grail of personalised medicine and deep phenotyping, powered by our proprietary active learning architecture. As I said earlier, I actually submitted a 2021 patent that was prescient ...

globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you. You will join the quant team, designing, analysing and improving sport prediction models and high frequency trading strategies. You’ll be part … Maths, Stats or Engineering degree. • Demonstrable Python experience • Strong Stats Background • Outstanding background in probability and statistics • Experience and interest in modern machine learning techniques, for example, deep learning, Bayesian methods and graphical models • Programming experience with python, julia or R You will be joining a progressive ...

University of Manchester is recruiting a Lecturer or Senior Lecturer in Artificial Intelligence/Machine Learning to enhance its research capabilities in AI and Machine Learning. Location: United Kingdom Deadline: 2026-09-24 Hiring Organization: University of Manchester Base Salary: £47,389-£71,566 The University of Manchester … seeking a Lecturer or Senior Lecturer in Artificial Intelligence/Machine Learning to strengthen the department’s AI & Machine Learning research. Open research areas include causal modelling, reinforcement learning, game theory, AI for Science, human-in-the-loop AI, foundation models, deep learning, and developmental ...

leaders in generative AI and foundation models for spatial and single-cell genomics – you will develop and apply state-of-the-art machine learning approaches to large-scale spatial genomics and multi-modal biological datasets. Key Responsibilities These include but are not limited to: Developing advanced AI/… Sanger Institute. Leading publications, conference presentations and dissemination of research findings. About you You will have: PhD (or near submission) in computational biology, machine learning, computer science, statistics or a related quantitative discipline. Experience developing and applying deep learning or AI/ML methods to complex scientific ...

applied machine learning.* Hands-on experience with LLMs, RAG, semantic search, or agentic AI systems.* Strong Python programming skills.* Experience with ML fundamentals, deep learning concepts, embeddings, transformers, and LLM architectures.* Experience using LangChain, LangGraph, LlamaIndex, AutoGen, MCP, or similar AI frameworks.* Experience with vector databases such … analytics, or telecom network operations.* Experience deploying AI services using Kubernetes, Docker, APIs, and cloud-native environments.**Required Technical Skills*** Python.* ML basics and deep learning.* LLMs and transformers.* LangChain, LangGraph, MCP, or similar frameworks.* Vector databases and semantic search.* Graph APIs and knowledge graphs.* Data pipelines and data ...

JOPP replaces isolated courses with live instruction, integrated projects, interview pressure, and employer outreach. Depth Beats a Badge Collection JOPP connects Python, statistics, ML, deep learning, NLP, LLMs/GenAI, and data engineering context so you can answer "how would you productionize this?" You will be asked … looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java/Full stack/Devops and Data Science/Data Engineers/Data analysts ...

developing cutting‐edge AI technologies that will transform how people manage their time, tasks, and daily lives. Key Responsibilities: Lead research initiatives in machine learning, natural language processing, and AI to enhance our suite of productivity tools. Develop novel algorithms and models to improve task automation, predictive scheduling … thought leader in Application AI. Mentor junior researchers and foster a culture of innovation within the team. Qualifications: PhD in Computer Science, Machine Learning, or a related field. 5+ years of experience in AI research, with a focus on applications in productivity tools or similar domains. Strong publication record ...

team that works together About You You have hands-on data science experience Bring practical Python and Git capability Understand common statistical-learning models and machine-learning algorithms for classification and regression Have sound statistical fundamentals, including hypothesis testing and experimental design Can independently take an ambiguous problem … Product and Engineering partners Added bonus Experience in consumer credit, lending, credit cards or a closely related credit-risk domain Exposure to sequence-based deep-learning or transformer-style models Experience building production-grade Python microservices At Zopa we value flexible ways of working. We value face ...

Senior Machine Learning Infrastructure Engineer London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across … converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations. 5+ years of experience building and operating ML infrastructure at scale: Deep expertise in distributed training: you've debugged NCCL hangs, optimized collective communication, and know when to use FSDP vs. DDP vs. pipeline parallelism Strong ...

Engineer at Digital Scholarship at Oxford (DiSc). About you You will hold a relevant PhD/DPhil or have substantial experience of machine learning in a research or industry environment, and have the ability and willingness to combine machine learning research with sustained engagement with historical … multilingual source material. You will have a strong understanding of deep learning and natural language processing, with practical experience of training, adapting and deploying large language models. You will also be able to process and transform historical, multilingual or otherwise non-standard textual data and to design ...

your penultimate/final year of education. Experience in one or more research areas; natural language understanding/processing, computer vision, LLMs, machine learning, algorithmic foundations of optimization, data mining, machine intelligence (Artificial Intelligence), AI/ML algorithms, deep learning or image processing, multimodal, multilingual and reinforcement … improve on our client's product offering. Contribute to a wide variety of projects utilising natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Please complete your application before 23rd October 2026. We encourage you to apply as early as possible as we review applications ...

petabytes of data and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production. We don’t believe … size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and machine learning techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity ...

quantitative academic role, underpinned by high mathematical and statistical competence. You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series … know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual ...

languages such as Python, TypeScript/JavaScript, Java, or C++.2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelinesFamiliarity with cloud-based machine learning tools and platforms (e.g. … Azure)Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasetsExcellent written and verbal communication skills to collaborate effectively in a cross-functional environmentNice to haves: Experience working at a startup, particularly as founding engineerExperience building and deploying large-scale AI solutionsStrong ...

globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you.You will join the quant team, designing, analysing and improving sport prediction models and high frequency trading strategies. You’ll be part … testing data.Quant Analysts Must Ideally Have:Comp Ski, Maths, Stats or Engineering degree.Outstanding background in probability and statisticsExperience and interest in modern machine learning techniques, for example, deep learning, Bayesian methods and graphical modelsProgramming experience with python, julia or RYou will be joining a progressive and exciting ...

breakthrough technology of personalised medicine. Since the beginning, our proprietary insight has always been that the company to create a true active learning data engine with a loss function against human wellbeing would be the one to crack it, becoming one of the most impactful companies in the world … stakes, you belong at Anima. Your work here will save lives. - Shun Long before the "vertical AI" craze, we were obsessed with active reinforcement learning—a niche field in 2021 that the world, pre-ChatGPT, largely ignored. Our trajectory has been unwavering since our YC application: achieving the "holy ...

capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end-to-end from prototype … production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub ...

capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end-to-end from prototype … production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub ...

capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end-to-end from prototype … production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub ...

coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack … Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building ...

bottlenecks (KYC, payment method, geo), and partner with PMs and designers to ship measurable improvements. ML/AI modeling. Design, train, and deploy machine learning models, from classification and forecasting to clustering and recommendation, that power decisions inside the product (e.g., dynamic payment method ranking, user lifetime value, churn … Redshift, or similar) and write performant, readable queries. Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least one deep-learning or gradient-boosting framework (XGBoost, LightGBM, PyTorch, TensorFlow). Experimentation fluency. You understand the math behind A/B testing, sample sizing ...

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision … technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model performance ...