326 to 350 of 426 Permanent TensorFlow Jobs

industry experience) in a relevant discipline. Extensive post-doctoral experience applying AI/ML to time-series or sequential data. Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, or scikit-learn. Proven ability to communicate complex results to technical and non-technical audiences. Desirable: experience in areas such as radar, EW, RF, sensor fusion, autonomy, or signal More ❯

robust software solutions What We’re Looking For Strong Python experience Linux development background Hands-on knowledge of Docker (Kubernetes desirable) Familiarity with AI/ML frameworks such as TensorFlow or PyTorch Experience building scalable systems and microservice architectures Ability to work in dynamic, fast-paced environments with multiple priorities Eligible for, or holding, SC clearance Why Join? Work More ❯

software design patterns and data structures Familiar with Git, Jupyter, command line, and agile workflows Experience with: React.js Node Python CSS Typescript Unit Testing AI/ML: LangChain, PyTorch, TensorFlow (basic understanding) Bonus: Interest in ethical AI, UX design, and CI/CD optimization Authorized to work in the UK without visa sponsorship Remote Setup Requirements: Reliable high-speed More ❯

vision systems in environments with resource constraints or within safety-critical industries. Advanced proficiency in Python and C++ programming languages. Hands-on experience with leading machine learning frameworks like TensorFlow, PyTorch, or similar tools. Strong background in embedded systems and experience integrating computer vision algorithms into hardware platforms. In-depth knowledge of various sensors, including cameras, LIDAR, and RADAR More ❯

Science, Physics, Engineering, or Statistics. Deep understanding of systematic equity investing and statistical arbitrage frameworks. Proficient in Python for research and prototyping - experience with ML libraries (e.g., scikit-learn, TensorFlow, XGBoost) is a strong plus. Strong mathematical and statistical skills, with a keen eye for detail and performance optimization. Comfortable working independently and as part of a dynamic, fast More ❯

with a practical, delivery-focused mindset Nice to have: Experience deploying or supporting ML models (e.g. regression, classification, recommendation) Familiarity with ML/DS libraries such as scikit-learn, TensorFlow, Hugging Face, or similar Exposure to cloud platforms (Azure preferred), APIs or data services Please note: Visa sponsorship is unfortunately not available for this role. Applicants must have the More ❯

in AI/ML or statistical signal processing 4+ years post-PhD experience applying ML to sequential or sensor data Strong Python development skills and fluency with ML libraries (TensorFlow, PyTorch, scikit-learn) Expertise in time-series analysis, signal processing, or intelligent decision-making Experience leading project teams and delivering R&D for defence, aerospace, or intelligence domains Desirable More ❯

to inform product development. Requirements Strong proficiency in Python. Solid understanding of machine learning concepts, embeddings, and vector search. Experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, Hugging Face). Excellent communication skills; ability to explain technical topics to diverse audiences. Prior experience contributing to open-source projects or engaging with developer communities. Comfortable presenting and More ❯

we value: • Cloud platform deployment on AWS or Azure • Containerisation using Docker or Kubernetes • Experience with Ansible or other configuration management tools • Exposure to machine learning platforms (Azure ML, TensorFlow, Amazon SageMaker) • Working with relational or NoSQL databases (document, graph, or RDBMS) Platform Engineer - Key Benefits: • Clear career progression within the National Security & Gov space • Flexible hybrid working & generous More ❯

understanding of data structures, algorithms, and software design principles PREFERRED QUALIFICATIONS - Understanding of AI model optimisation techniques - Experience with large language models (LLMs) - Familiarity with machine learning frameworks (PyTorch, TensorFlow) - Experience with AI/ML deployment platforms (Amazon Q) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need More ❯

a highly proficient software engineer in a least one programming language (Python or other e.g. Rust, Go, Java) • You have, hands-on experience with AI frameworks and tools (e.g., TensorFlow, PyTorch, Jax) • You have high technical engineering competence. This means being able to design complex software and make it usable in production • You have a high scientific track record More ❯

including Python, Ansible, or similar technologies. Experience leveraging AI/ML-driven tools for network performance optimization, anomaly detection, and predictive analytics. Understanding of AI frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and their application in network automation and monitoring. Experience with telemetry and observability frameworks (e.g., Prometheus, Grafana) for real-time network monitoring and troubleshooting. Experience : Minimum More ❯

knowledge of HW and SW design Developing and working with large software systems in programming languages like Python Knowledge of state-of-the-art deep learning libraries such as Tensorflow and Pytorch Training large deep learning models on powerful GPU-based systems, "Nice To Have" Skills and Experience: ML Model Optimization techniques targeted for resource constrained ARM edge compute More ❯

2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals More ❯

LLMs) on distributed training infrastructures. Familiarity with evaluating and improving the generalisability and robustness of ML systems. Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). Excellent communication skills to collaborate effectively with cross-functional teams and present findings. One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats More ❯

work without direct management responsibilities. Experience mentoring and coaching colleagues, offering guidance on both technical and professional development. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals More ❯

to succeed. "Nice To Have": Experience in Cybersecurity technology projects (Plus!). Experience in the development of ML/AI applications using state-of-the-art toolchains, i.e. Pytorch, TensorFlow (Plus!). Experience with HW and SW Architecture Modelling. Model-Based System Engineering, ISO 15288, MagicGrid Framework, SysML 2.0 (Plus!). Exposure and familiarity with Reliability methodologies. Knowledge of More ❯

have 2+ years of experience in Software, Data, or ML engineering roles (preferred). You bring strong problem-solving skills, proficiency in Python, and familiarity with ML frameworks like TensorFlow or PyTorch . You have exposure to cloud platforms (e.g., AWS, GCP), containerization (Docker, Kubernetes), and scalable data systems (e.g., Spark, Kafka). You are experienced or interested in … ML model serving technologies (e.g., MLflow , TensorFlow Serving) and CI/CD tools (e.g., GitHub Actions). You understand ML algorithms and collaborate effectively with cross-functional teams through strong communication skills. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please More ❯

have 2+ years of experience in Software, Data, or ML engineering roles (preferred). You bring strong problem-solving skills, proficiency in Python, and familiarity with ML frameworks like TensorFlow or PyTorch . You have exposure to cloud platforms (e.g., AWS, GCP), containerization (Docker, Kubernetes), and scalable data systems (e.g., Spark, Kafka). You are experienced or interested in … ML model serving technologies (e.g., MLflow , TensorFlow Serving) and CI/CD tools (e.g., GitHub Actions). You understand ML algorithms and collaborate effectively with cross-functional teams through strong communication skills. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please More ❯

or a strong passion for game development. Proficiency in Unity game development workflows and its integration with AI/automation solutions. Strong expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, OpenAI, or similar) and their application in game development or backend automation. Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier More ❯

the latest trends in machine learning and crypto technologies. Requirements: Proven experience as a Machine Learning Engineer, with a strong understanding of algorithms and data modelling. Experience in Python, TensorFlow, or similar frameworks. A passion for cryptocurrency and blockchain technologies. Strong problem-solving skills and the ability to work in a fast-paced, remote environment. How to Apply: Please More ❯

industry/academia experience in an AI/ML role. Experience leading R&D teams. Experience in Python software development. Experience in at least one ML framework such as Tensorflow or Pytorch. A background in Aerospace, Defence or Public Sector consulting. Experience in one or more of: Predictive Graph Machine Learning, Causal Machine Learning, Neuro-Symbolic AI, LLM, Modern More ❯

analysis findings to clients and senior stakeholders Requirements: Proven ability to deliver ML solutions that drive real business value Strong Python/ML stack skills (e.g., scikit-learn, XGBoost, TensorFlow, etc.) Experience working with clients and/or stakeholders – you’re comfortable in a consulting setting Ideally available on a shorter notice period **Please note that this role does More ❯

of AI/ML and/or statistical signal processing to sequential data in industry. Experience in Python software development. Experience in ML and deep learning frameworks such as Tensorflow, Pytorch, scikit-learn etc. A background in Aerospace, Defence or Public Sector consulting. Experience in one or more of: RF, CEMA, Electronic/Electromagnetic Warfare, Radar Signal Processing, Acoustic More ❯

signal processing, autonomy, and sensor fusion. Key Requirements: PhD or equivalent experience in AI/ML or statistical signal processing Strong Python programming and use of ML libraries (e.g., TensorFlow, PyTorch) Demonstrated experience with sequential data and real-time decision systems Ability to mentor junior colleagues and produce publishable R&D outcomes Benefits: 10% annual bonus Flexible hybrid working More ❯