20 of 20 TensorFlow Jobs in Manchester

learn and adapt to new tools and technologies. Preferred Qualifications (Nice-to-Have): Basic understanding of machine learning concepts and frameworks like Scikit-learn, TensorFlow, or PyTorch . Understanding of DevOps practices and CI/CD pipelines. Familiarity with cloud services such as AWS, Azure, or GCP. Hands-on More ❯

computational linguistics are highly desirable, either from a research academic or commercial perspective. Proficiency in Python and ML libraries such as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps, CI/CD for More ❯

computational linguistics are highly desirable, either from a research academic or commercial perspective. Proficiency in Python and ML libraries such as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps, CI/CD for More ❯

computational linguistics are highly desirable, either from a research academic or commercial perspective. Proficiency in Python and ML libraries such as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps, CI/CD for More ❯

for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use More ❯

/Linux, Docker. Plus, a strong opinion on your IDE/editor of choice is welcome ;) Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. Excellent communication skills; both in customer-facing and internal team communication. Knowledge of More ❯

solutions Implement testing, monitoring, and performance optimisation of ML systems Contribute to architectural discussions and promote engineering best practices Technical Environment: Python, PyTorch or TensorFlow AWS (including SageMaker, S3, Lambda) or Azure ML Docker, Kubernetes, Airflow CI/CD tools (e.g. GitHub Actions, Jenkins) MLflow or similar frameworks Required More ❯

solutions Implement testing, monitoring, and performance optimisation of ML systems Contribute to architectural discussions and promote engineering best practices Technical Environment: Python, PyTorch or TensorFlow AWS (including SageMaker, S3, Lambda) or Azure ML Docker, Kubernetes, Airflow CI/CD tools (e.g. GitHub Actions, Jenkins) MLflow or similar frameworks Required More ❯

and deploying machine learning models and algorithms in real-world applications. - Strong proficiency in Python programming and popular machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Deep understanding of machine learning concepts and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc. - Strong communication More ❯

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 More ❯

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 More ❯

Looking For Most importantly, you must hold an active UKIC DV Clearance Strong experience in MLOps or ML Engineering Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn ) Strong proficiency in Python for production systems Proficient in Python and modern DevOps/MLOps tools Experience with cloud platforms and More ❯

real-world AI applications. Required: 4+ years in AI/ML engineering with hands-on Databricks experience . Strong Python skills with experience in TensorFlow, PyTorch, or Scikit-learn. Cloud experience ( Azure preferred, or AWS/GCP). Certifications in Databricks or Azure (e.g., Databricks ML Professional). Why More ❯

to work with cross-functional teams. Ability to communicate effectively and explain technical/complex concepts to non-technical stakeholders Experienced in Python, SQL, Tensorflow and a cloud platform Our client is an exciting phase of their growth and as a Head of Data Science you will have the More ❯

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 More ❯

/Selenium) Familiarity with modern DevOps practices (CI/CD pipelines, Docker, etc) Nice to have but not essential: Exposure to ML frameworks like TensorFlow or PyTorch (not essential) Experience in e-commerce or retail tech environments This is a hybrid role 2 days a week in office, so More ❯

imaging (CT, CBCT, MRI, Ultrasound, X-Ray, etc.) Solid understanding of 3D data, segmentation tasks, and landmark detection Hands-on with frameworks like PyTorch , TensorFlow , MONAI , nnU-Net , etc. Experience with DICOM data handling Bonus points for any exposure to regulatory standards (ISO 13485, FDA SaMD) or experience in More ❯

imaging (CT, CBCT, MRI, Ultrasound, X-Ray, etc.) Solid understanding of 3D data, segmentation tasks, and landmark detection Hands-on with frameworks like PyTorch , TensorFlow , MONAI , nnU-Net , etc. Experience with DICOM data handling Bonus points for any exposure to regulatory standards (ISO 13485, FDA SaMD) or experience in More ❯

software so knowledge and experience of software development tools is a plus. Required Experience Web Scraping Statistical Modelling - Regression, time series, clustering Pandas, Kubernetes, TensorFlow, Docker Python & SQL Desired Skills and Experience Python, SQL, Pandas, Kubernetes, Web Scraping, Statistics More ❯

Job Band Job number 21462 Principal Senior Data Scientist - NLP Salary range: Up to £118,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract type: permanent More ❯