26 to 50 of 89 TensorFlow Jobs in the North West

background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the More ❯

background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the More ❯

background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the More ❯

software delivery practices. Familiarity with core software tooling: Git, Unix/Linux, Docker. Opinions on your favourite IDE/editor are encouraged! Awareness of modern machine learning tools (e.g., TensorFlow, Keras, PyTorch, SKLearn). Excellent communication skills, both customer-facing and within internal teams. Some awareness of MLOps is beneficial but not essential. What We Can Offer You By More ❯

Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You'll be skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills Ability to … Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills Ability to diagnose and troubleshoot More ❯

years of experience in data science or machine learning roles. Strong knowledge of behaviour biometrics or sensor-based or time series data. Solid Python skills (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). Experience with time-series data or sensor-based or behavioural biometric data, and sequential modelling (e.g., LSTMs, Transformers). Comfortable working with SQL and data visualisation More ❯

to junior data science team members. What We're Looking For Essential Skills Python : Advanced proficiency in data manipulation, machine learning, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance for analysis. Machine Learning : Proven hands-on experience with various techniques including regression, classification, clustering, and time More ❯

follow principles of security, scalability and high availability. Very strong technical background leading application development – with experience in some or all of the following technologies: Python, Java, Spring Boot, TensorFlow, PyTorch, Apache Spark, Kafka, Jenkins, Git/Bitbucket, Terraform, Docker, ECS/EKS, IntelliJ, JIRA, Confluence, React/Typescript, Selenium, Redux, Junit, Cucumber/Gherkin. About Datalex Datalex's More ❯

Demonstrable industry experience Data Science/Machine Learning in one or more of: Anomaly detection Excellent skills in Python and S QL Experience with libraries such as Scikit-learn, Tensorflow, Pytorch Strong data wrangling skills for merging, cleaning and sampling data Strong data visualisation and communication skills are essential Understanding of the software development life cycle and experience using 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 Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of More ❯

insights. Machine Learning Engineer Key Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with More ❯

insights. Machine Learning Engineer Key Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with More ❯

product design. What We’re Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system design. More ❯

product design. What We re Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system design. More ❯

product design. What We’re Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system design. More ❯

Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

product design. What We’re Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system design. More ❯

Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

product design. What We’re Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system design. More ❯

solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Proficiency in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimize performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This is a career-defining opportunity within More ❯

Computer Science with a focus on Data Science/Artificial Intelligence/Text Mining/Natural Language Processing. Experience with machine learning and deep learning frameworks such as Keras, TensorFlow, and scikit-learn. Proficiency in knowledge graph frameworks and tools, including Neo4j, GraphQL, RDFLib, or similar technologies, is essential. Strong programming skills and experience in software development (Java/ More ❯

Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

software architecture, and data modeling. Experience with tabular data, computer vision, imagery, point clouds, and game datasets. Proficiency with ML libraries like NumPy, OpenCV, scikit-learn, PyTorch/PyTorch3D, TensorFlow, Keras; familiarity with CI/CD, version control (GitLab, Perforce), and cloud platforms (preferably AWS). Benefits include: 22 days holidays + Christmas closure & Bank holidays (increasing with service More ❯

AWS SageMaker and Lambda, and you'll know your way around Git, SQL, and common Python data science libraries (like pandas/polars, scikit-learn, xgboost/lightGBM, and TensorFlow/PyTorch). Bonus points if you've worked with linear programming, or have experience in time series forecasting, agent-based modelling, and space allocation optimisation. You'll have More ❯

with user testing or co-design methods, in arts or health settings Experience with Image and/or audio-based AI development and familiar with libraries such as: SciPy, TensorFlow, PyTorch, Hugging Face Experience with Image and/or audio-based AI development Familiarity with research projects productivity timelines Knowledge of the peer review process for research projects and More ❯