1 to 25 of 54 Remote Permanent Deep Learning Jobs

the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting … customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full … testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data More ❯

the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting … customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full … testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data More ❯

unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer. Job Summary: We're seeking a Bayesian Data Scientist with deep expertise in probabilistic modeling and a strong grasp of modern AI advancements, including foundation models , generative AI , and variational inference . This role is perfect for someone who thrives … challenges, optimizing predictions under uncertainty, and developing interpretable, high-impact models in real-world systems. You will apply state-of-the-art techniques from Bayesian statistics and modern machine learning to build scalable, efficient, and insightful models-driving real business impact. Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Translate predictive modeling problems … networks , variational autoencoders , diffusion models , and Gaussian processes for modern AI use cases. Collaborate closely with product, engineering, and business teams to build end-to-end modeling solutions. Conduct deep-dive statistical and machine learning analyses, simulations, and experimental design. Stay current with emerging trends in generative modeling, causality, uncertainty quantification, and responsible AI. Requirements/Qualifications: Strong More ❯

Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. You should have solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development. The … diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You … statistical signal processing to sequential (e.g. sensor time-series) data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep learning frameworks: TensorFlow, Pytorch, scikit-learn, etc. Of particular interest are candidates with experience in one or more of the following domains: RF communications and CEMA Electronic or More ❯

you are someone who enjoys in equal measures the data wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning. You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: data wrangling, model development, evaluation, and performance … monitoring. As a Data Scientist, you'll play a key role in the end-to-end lifecycle of their advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. You'll be part of an agile, innovative team, developing cutting-edge solutions that are transforming the world of credit risk. Your work will have a … Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Eagerness to make an impact and More ❯

you are someone who enjoys in equal measures the data wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning. You’ll develop and deploy machine learning models that power real-world decisions — from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: data wrangling, model development, evaluation, and performance … monitoring. As a Data Scientist, you'll play a key role in the end-to-end lifecycle of their advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. You’ll be part of an agile, innovative team, developing cutting-edge solutions that are transforming the world of credit risk. Your work will have a … Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Eagerness to make an impact and More ❯

re looking for a Senior Data Scientist to join our ambitious, impact-driven team based in London. You’ll play a key role in designing and deploying advanced machine learning systems that solve complex real-world challenges across a wide range of industries—from climate risk and healthcare to international development and beyond. This is an opportunity to take … initiatives that genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a … Balanced : Competitive salary, hybrid working options, and a culture that supports your wellbeing and personal growth. What We’re Looking For: 3+ years of experience in data science, machine learning, or applied AI roles. Strong background in statistics, predictive modeling, and advanced machine learning techniques. Proven ability to lead end-to-end AI projects—from data exploration and More ❯

re looking for a Senior Data Scientist to join our ambitious, impact-driven team based in London. You’ll play a key role in designing and deploying advanced machine learning systems that solve complex real-world challenges across a wide range of industries—from climate risk and healthcare to international development and beyond. This is an opportunity to take … initiatives that genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a … Balanced : Competitive salary, hybrid working options, and a culture that supports your wellbeing and personal growth. What We’re Looking For: 3+ years of experience in data science, machine learning, or applied AI roles. Strong background in statistics, predictive modeling, and advanced machine learning techniques. Proven ability to lead end-to-end AI projects—from data exploration and More ❯

you are someone who enjoys in equal measures the data wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning. You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: data wrangling, model development, evaluation, and performance … monitoring. As a Data Scientist, you'll play a key role in the end-to-end lifecycle of our advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. You'll be part of an agile, innovative team, developing cutting-edge solutions that are transforming the world of credit risk. Your work will have a … CTEs and window functions) Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy , sklearn ) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Eagerness to make an impact and More ❯

Scientist to join our expanding Data Science team. In these roles, you'll lead cutting-edge AI/ML research initiatives at the intersection of cybersecurity and advanced machine learning, with a focus on mechanistic explainability, self-supervised learning, representation learning, and innovations that extend beyond current generative AI capabilities. As part of our team, you'll … individuals from diverse professional backgrounds who share an interest in fundamental AI research and its practical applications. What You'll Do: Lead research initiatives in mechanistic explainability, self-supervised learning, and representation learning to advance fundamental AI capabilities for cybersecurity applications Develop novel machine learning architectures that move beyond current generative AI paradigms, creating more robust, transparent … inquiry and innovation What You'll Need: PhD in Computer Science, Statistics, Mathematics, or related field, or equivalent research experience, with 5+ years post-graduation experience in advanced machine learning research Strong theoretical foundation in machine learning fundamentals and statistical methods Proficiency with Python, Deep Learning frameworks (TensorFlow, PyTorch), and distributed computing environments Excellent scientific writing More ❯

to be a part of the AI revolution! About DeepPCB: DeepPCB is InstaDeep's AI-powered Place & Route PCB (Printed Circuit Board) design tool. We use a combination of deep reinforcement learning and high-performance computing to automate and scale PCB place-and-route workflows, accelerating hardware innovation globally. We are looking for a Machine Learning Engineer … to join the DeepPCB team and help push the boundaries of AI for electronic design automation (EDA). You will develop, optimize, and deploy cutting-edge machine learning and reinforcement learning models focused on automating complex PCB design problems, working closely with researchers and engineers to bring ideas to life. Responsibilities: Develop scalable and efficient machine learning … technical depth based on the audience. Participate in technical discussions, design reviews, and customer-facing activities when required. Requirements: B.Sc ., M.Sc ., or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related technical field. 2-5 years of professional experience in applied machine learning or engineering roles. Strong expertise in Machine Learning and Deep More ❯

and enriching data for use in AI and ML pipelines. Perform detailed data analysis to extract meaningful insights and support model design decisions. Build, experiment with, and optimize machine learning models to meet performance requirements. Conduct quality assurance on models, ensuring robustness, explainability, and compliance with standards. Collaborate effectively with both upstream and downstream engineering sprint teams to integrate … address business challenges through machine learning. Communicate technical recommendations and project outcomes clearly and appropriately to varied internal stakeholders. Keep up to date with developments in artificial intelligence, machine learning, deep learning, and emerging technologies. Write production-supporting software components, such as data transformation scripts and inference modules, to complement model deployment. Contribute to shared libraries and … clearly and effectively, with good presentation and explanation skills. Bring 3+ years of commercial or academic experience in data science and artificial intelligence. Hold an advanced degree in machine learning, computer science, engineering, or a related discipline, with a BSc required and an MSc considered advantageous. Experienced in using machine learning frameworks such as Scikit-learn, Keras, and More ❯

innovator in the medical research and development sector ( Software and ML integrated Product) - we are recruiting for two open positions within the same dynamic R&D team: Senior Machine Learning Engineer Medior Machine Learning Engineer This company is dedicated to improving healthcare outcomes through advanced statistical analysis and machine learning innovation . The ideal candidates will have … a strong technical foundation, a passion for scientific research, and a deep interest in applying AI to solve meaningful real-world challenges in the healthcare domain. Responsibilities Research, design, and implement new machine learning models to enhance clinical data quality and support healthcare decision-making. Continuously analyze scientific literature to identify promising algorithms and evaluate their practical application. … practices. Leverage open-source libraries and frameworks to drive experimentation and model optimization. Apply best practices for experiment tracking, model validation, and deployment . Explore new areas for machine learning applications in the medical and clinical research domain . Actively contribute to scientific visibility through conferences, workshops, and potential publications. Collaborate closely with data engineers, domain experts, and statisticians More ❯

to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, Natural Language Processing and Deep Learning. Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, designing and building models, and deploying them into production. … from you. Apply now and help shape the future of claims automation. Responsibilities Develop features for our state-of-the-art claims automation platform Research, build and deploy machine learning algorithms and models to production within product teams Provide technical guidance and input on the design and implementation of machine learning algorithms Support with customer PoVs and onboarding … product requirements and help translate these into technical solutions Execute and deliver full AI/ML solutions from sourcing training data, design and implementing state-of-the-art machine learning models, testing, benchmark and product-driven research for model performance improvement, to shipping stable, tested, performant code in an agile environment. Work closely with Product Managers to help shape More ❯

model (LLM) post-training. This is not just about applying standard fine-tuning techniques - it's about building the future of dialogue systems with novel approaches to reasoning, reinforcement learning, audio-first LLMs, and more. As a Senior Research Scientist at PolyAI, you'll lead impactful research projects from ideation through to deployment. You'll be driving innovation in … how we train and adapt LLMs for real-world conversations - spanning voice, text, and multimodal contexts. You'll work on frontier techniques such as: Conversational reinforcement learning Streaming and continuous turn-taking Audio-native LLMs Distillation of reasoning models Long-context You'll also play a key role in shaping the scientific direction of our research, mentoring junior colleagues … compliance teams to ensure responsible use of data and models. Stay current with academic and industry advances in LLMs, ASR, TTS, RLHF, and multimodal learning. Requirements: PhD in Machine Learning, Natural Language Processing, Computer Science, or a related field. 5+ years of hands-on experience in deep learning. Proven track record of research innovation, including published work or More ❯

leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. As a senior Machine Learning Engineer specialising in speech recognition, you will play a key role in shaping and implementing strategies for (synthetic or not) data generation, collection, and annotation, as well as evaluating … of specific data points extraction (addresses, phone numbers, postcodes etc). Develop robust evaluation benchmarks to track improvements in production models Stay informed about the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies Build tooling which allows cooperation between clients/users of the machine learning models and MLEs (data pipelines, automated … any compliance or data privacy-related issues Work closely with product and engineering teams to ensure alignment with business and production goals Requirements: A degree in Computer Science, Machine Learning, or a related field, or equivalent industry experience 3+ years of experience working with deep learning and statistical models Strong knowledge of data quality standards and annotation More ❯

the healthcare domain. Key Responsibilities Design, develop, and optimise C++ software libraries for image and vision processing Research and implement algorithms for 2D/3D medical image analysis Apply deep learning and conventional computer vision techniques to improve diagnostic accuracy Collaborate closely with product management and cross-functional teams to shape R&D direction Contribute to code quality … Electronics Engineering, Biomedical Engineering, or a related field Strong proficiency in C++ and object-oriented design principles Proven experience in image processing, signal processing, and computer vision Familiarity with deep learning frameworks (PyTorch, TensorFlow, scikit-learn) Knowledge of CPU/GPU architecture and optimisation Experience with tools such as Visual Studio, gcc, CMake, Git, OpenCV, CUDA, Halcon, etc. More ❯

develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. Nice to have, but not essential NLP/Deep learning experience (e.g. huggingface, spaCy) Deep learning framework experience (preferably PyTorch) MLOps experience (e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC More ❯

Data Scientist in a commercial environment. A background leading Data Science teams in an eCommerce or conversion rate optimisation-focused environment is a plus. Hands-on experience with Machine & Deep Learning, AI and Neural Networks tools including Python, Spark, Tensor Flow. Competencies across core programming language including Python, Java, C/C++, R. That you can work in More ❯

testing and prototyping quant models, performing liquidity analysis and provisioning, working Develop and execute robust validation framework for AI/ML models, including generative AI, nature language processing and deep learning models. 5+ years of experience in quantitative analytics includi We are looking for an experienced quantitative analyst with a Master's or PhD in a quantitative discipline More ❯

Machine Learning Scientists/Engineers, Cambridge, UK Astex Pharmaceuticals is a global leader in innovative drug discovery, utilizing its proprietary Fragment-Based Drug Discovery platform to develop new drug candidates, with several progressing in clinical trials. The company focuses on Neurological Disorders and Oncology. The Role We are seeking Machine Learning Scientists/Engineers for permanent and … year fixed-term contracts to develop innovative machine learning methods for structure-based drug discovery. You will work on advancing computational tools that impact the design and optimization of therapeutics, leveraging extensive proprietary datasets and cutting-edge AI techniques in a collaborative environment. Responsibilities: Design and implement ML models for structure-based drug design, including protein-ligand interaction modeling … multidisciplinary teams to translate research into production solutions. Profile and Skills: PhD or equivalent in a technical discipline (e.g., computer science, chemistry, physics, engineering). Strong background in machine learning, including deep learning and generative models. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Proficiency in Python and C++, with a collaborative mindset. Familiarity with More ❯

dialogue. This unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer. Job Summary: We're looking for a Machine Learning Engineer with a passion for developing impactful healthcare solutions using wearable data. You'll play a key role in building real-time, FDA-compliant algorithms that analyze continuous physiological … and help bring clinically validated, regulatory-ready ML solutions to market. Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Design and implement machine learning models for real-time analysis of wearable biosignal data (e.g., ECG, PPG, accelerometer). Develop algorithms that meet clinical-grade performance standards for use in regulated environments. Preprocess and … performance metrics like sensitivity, specificity, ROC-AUC, and precision-recall. Contribute to technical documentation and regulatory submissions for medical-grade software. Requirements/Qualifications: MS or PhD in Machine Learning, Biomedical Engineering, Computer Science, or a related field. 3-5+ years of experience applying machine learning to time-series or physiological data. Strong foundation in signal processing More ❯

for applying, adapting, and extending existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition to the world of financial predication through the prism of machine learning. The most exceptional team members … combine strong technical skills and a passion for problem-solving with an intense curiosity about financial markets and human behaviour. About You: PhD or PhD candidate in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Curiosity More ❯

for applying, adapting, and extending existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition to the world of financial predication through the prism of machine learning. The most exceptional team members … combine strong technical skills and a passion for problem-solving with an intense curiosity about financial markets and human behaviour. About You: PhD or PhD candidate in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Curiosity More ❯

Data Scientist to support a federal program in El Paso, TX. We are seeking a highly skilled Senior Data Scientist with specialized expertise in Artificial Intelligence (AI) and Machine Learning (ML) to support the analysis and interpretation of large-scale datasets. This role is vital for leveraging our law enforcement client's data holdings to develop innovative insights, predictive … driven business solutions. Tackle complex technical challenges using state-of-the-art techniques and industry knowledge. Deploy, validate, and manage various types of data models including supervised, unsupervised, and deep learning models. Perform advanced mathematical and statistical modeling to organize, optimize, and predict trends from both structured and unstructured data. Validate and improve machine learning models with … BI, Tableau, or Qlik to translate data insights into actionable intelligence. Required Qualifications: 4+ years of hands-on experience in AI/ML model development, including supervised and unsupervised learning, with a strong focus on Natural Language Processing (NLP) for unstructured data. 5+ years of proficiency in at least one analytical/statistical programming language (e.g., Python, R, Scala More ❯