76 to 100 of 104 Remote TensorFlow Jobs

peers, and delivering high-impact work without direct management responsibilities. Proven experience mentoring and coaching colleagues. Strong Python skills and experience with ML frameworks such as PyTorch, HF Transformers, TensorFlow, or JAX. Track record of end-to-end applied research and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud deployment. Excellent communication skills with the ability More ❯

and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy More ❯

hardware design and verification roles Linux - Essential for systems-level work Git, CI/CD tools (e.g. YAML, Terraform) - Common in DevOps and infrastructure roles Machine Learning Frameworks (e.g. TensorFlow, PyTorch) - Important for AI/ML roles Not every role requires all of these, but familiarity with at least one programming language (like Python or C++) and a collaborative More ❯

or more Data Science or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding More ❯

frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

to translate real-world workflows into AI agents. Key Requirements: Strong experience in NLP/LLM training and fine-tuning (transformers, embeddings, LoRA/PEFT).Proficiency with PyTorch/TensorFlow, Hugging Face ecosystem, and MLOps tooling. Experience working with financial or structured transactional data. Knowledge of data privacy and regulatory requirements in fintech (SOC2, PCI-DSS, GDPR). Ability More ❯

frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

Bitbucket) to streamline delivery Automated testing and static code analysis (e.g. SonarQube) to ensure quality It would be great if you also had experience with: Machine learning frameworks (e.g. TensorFlow, AWS/Azure ML) Cloud deployment and management (AWS, Azure) Containerisation (Docker, Kubernetes) Databases (relational, document, or graph) Configuration and deployment tools (Ansible) The package More ❯

or ability to build without frameworks. Confident in client-facing settings: workshops, presentations, advisory roles. Preferred: Advanced degree in AI, Computer Science, or related field. Experience with PyTorch/TensorFlow, vector databases, RAG, and orchestration tools. Background in start-ups (hands-on generalist) or consultancies (client-facing). Exposure to regulated industries. Independent, entrepreneurial mindset; comfortable working with autonomy. More ❯

and drive: Deep learning expertise with 2+ years in language generation. Experience with LLMs, neurosymbolic integration, and knowledge representation. Strong Python skills and experience with ML frameworks (PyTorch, HF, TensorFlow, JAX). Demonstrable track record of end-to-end applied research. Excellent communication skills; proven mentoring ability. Collaborative and proactive in fast-paced environments. Desirable: Experience with symbolic reasoning More ❯

hands-on experience in building and deploying machine learning or deep learning models in real-world applications. Technical Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Programming: Solid experience in Python and SQL. Experience with R is a nice-to-have. ML and AI: Practical experience using ML modeling libraries like Scikit-Learn … Keras, TensorFlow, PyTorch and similar Generative AI: Some hands-on experience with LLMs for prompt engineering or agents is preferred Cloud Expertise: Building, deploying and monitoring models on cloud like Azure, AWS or GCP is preferred. Foundational Knowledge: A strong foundation in statistics, mathematics, AI principles and programming is essential for success in this role. Nice-to-have Problem More ❯

RequiredExperience Strongknowledgeofdatamodelling,machinelearning,and/oradvanceddataanalytics. Demonstrabletrackrecordofdeliveringdataanalyticsprojectsaspartofateam. Hands-onexperiencewithcollaborativesoftwaredevelopmentandversioncontrol(preferablyGit). FamiliaritywithAgile/SCRUMmethodologies. Exposuretopre-engagementactivitiessuchasprojectscoping,technicalfeasibilityanalysis,orprototypedevelopment. Comfortablecontributingtotechnicaldiscussionsandimplementingsolutionsdefinedbyprojectleads. DesirableExperience StrongPythonexpertise. ExperiencewithGNU/Linuxenvironments. FamiliaritywithkeydatascienceandMLframeworks(e.g.,scikit-learn,PyTorch,TensorFlow,XGBoost,HuggingFace). Experienceinnaturallanguageprocessing,tabulardataanalysis,orcomputervision. SQLproficiency. Exposuretocontainerisation(Docker,Kubernetes)andcloud-nativearchitectures. ExperiencewithCI/CD,automatedtesting,anditerativeproductdevelopment. Knowledgeofgraphdatabasesandgraphanalysis. Benefits Ourclientoffersanexcitingandsupportiveenvironmentwithastrongfocusonemployeewellbeingandcareerdevelopment.Benefitsinclude: 35daysannualleave(includingpublicholidays)plusupto10daysunpaidleave. Flexibleworkingarrangementsaroundcorehours. Privatehealthinsuranceandpensionscheme. Contributiontogymmembership. Ongoingprofessionaldevelopmentsupport(courses,certifications 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 ❯

common software design patterns Desirable (but not essential): Experience with cloud platforms (AWS, Azure) Familiarity with Docker, Kubernetes , or config tools like Ansible Exposure to machine learning frameworks (e.g., TensorFlow, Amazon ML) Understanding of relational, document, or graph databases What's on Offer: Flexible and hybrid working options 25 days annual leave (with buy/sell and carry-over More ❯

Strong software engineering and algorithm development skills in Python, including advanced image processing for 3D datasets, and ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar. Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking. Familiarity with computer vision, cellular imaging, volumetric tiling More ❯

For Prior consulting experience in a top-tier firm or internal transformation role within Financial Services Familiarity with AI tools or platforms such as Azure AI, AWS SageMaker, or TensorFlow Hands-on experience implementing AI use cases in regulated environments Knowledge of frameworks like NIST AI RMF, ISO 38507, or DAMA DMBOK Relevant certifications in Responsible AI, AI Ethics More ❯

neural networks, natural language processing, and computer vision. Participate in regular team meetings and brainstorming sessions. Gain experience with popular AI/ML tools and frameworks such as Python, TensorFlow, PyTorch, and Scikit-learn. Learn about data pipelines, from data ingestion to model deployment. Deepen your understanding of algorithms, AI ethics, and the latest trends in AI. Hands-on … to Learn : Strong desire to learn new technologies and methodologies. Teamwork : Ability to collaborate with others and contribute to team success. Preferred Qualifications : Experience with machine learning frameworks (e.g., TensorFlow, Keras, PyTorch). Understanding of data structures, algorithms, and mathematical foundations for AI. Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus. Previous internship or project More ❯

Data Scientist Salary: £55-70k plus attractive bonus on top Location: London or Leeds (hybrid working, if preferred) About us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose More ❯

Data Scientist Salary: £55-70k plus attractive bonus on top Location: London or Leeds (hybrid working, if preferred) About us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose More ❯

Data Scientist Salary: £55-70k plus attractive bonus on top Location: London or Leeds (hybrid working, if preferred) About us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose More ❯

Data Scientist Salary: £55-70k plus attractive bonus on top Location: London or Leeds (hybrid working, if preferred) About us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose More ❯

Data Scientist Salary: £55-70k plus attractive bonus on top Location: London or Leeds (hybrid working, if preferred) About us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose More ❯

Overview Innovation is at the heart of what we do. We work as a cohesive team that collectively develops real-life decision-making and technology products across various industries. We are always on the lookout for talented minds to join More ❯