26 to 50 of 117 TensorFlow Jobs in the Midlands

and monitoring (e.g. Kubeflow) Expert knowledge of automated artefact deployment using YAML based CI/CD pipelines and Terraform Working knowledge of one or more ML engineering frameworks (e.g. TensorFlow, PyTorch, Keras, Scikit-Learn) Working knowledge of object-oriented programming and unit testing in Python Working knowledge of application and information security principles and practices (e.g. OWASP for Machine More ❯

on scalable deployment What We’re Looking For: 2+ years of experience building and deploying machine learning models Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Social network you want to login/join with: Data Scientist/Machine Learning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Data Scientist/Machine Learning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using … Science/Machine Learning role Solid experience of Python and some Java (Could be from University projects) A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. Salary for … The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Data Scientist/Machine Learning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Applicants must have the right to work in the UK, no sponsorship is offered More ❯

or statistics, with software engineering skills, understanding of MLOps practices and experience in managing data science projects. Proficiency in handling large datasets and using tools such as Apache Spark, TensorFlow, PyTorch, Azure. Experience with Generative AI technologies such as GPT-3 and other LLMs and MLOps tools such as MLflow. Advanced Python skills and knowledge of machine learning frameworks. More ❯

a related field (Master’s preferred). 1+ year(s) of experience in AI, machine learning, or data science. Proficiency in Python and experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn . Strong understanding of data analysis , feature engineering , and model evaluation techniques, particularly with retail and consumer-facing data. Passion for AI and the retail More ❯

Kong, Apigee, AWS API Gateway) and ESB solutions. Familiarity with generative AI approaches like LLM-based chatbots or transformer-based AI solutions. You will have an understanding ML frameworks (TensorFlow, PyTorch) and how they can be utilised in data pipelines. Exceptional ability to communicate technical concepts to C-level executives, technical staff, and non-technical stakeholders. You will have 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 ❯

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 ❯

. Build and maintain scalable microservices using RESTful APIs and containerized services (Docker/Kubernetes). Integrate AI/ML models into applications using Python , leveraging frameworks such as TensorFlow , scikit-learn , or PyTorch . Collaborate with cross-functional teams including DevOps, Data Science, and UI/UX to implement features and optimize performance. Write clean, maintainable, and efficient More ❯

Angular. Build and maintain scalable microservices using RESTful APIs and containerized services (Docker/Kubernetes). Integrate AI/ML models into applications using Python, leveraging frameworks such as TensorFlow, scikit-learn, or PyTorch. Collaborate with cross-functional teams including DevOps, Data Science, and UI/UX to implement features and optimize performance. Write clean, maintainable, and efficient code More ❯

experience can suffice. Advanced certifications are a bonus. Work Experience: Proven expertise in AI/ML, especially with generative AI at scale, LLMs like GPT and BERT, AI frameworks (TensorFlow, PyTorch), cloud-native solutions, and tools such as Databricks and Snowflake. Experience managing stakeholders in complex environments. Skills: Proficient in designing and optimizing generative AI models, prompt engineering, understanding More ❯