1 to 25 of 31 Remote TensorFlow Jobs in Yorkshire

experience in designing, implementing, and optimizing computer algorithms for mission-critical systems. Proficiency in creating computer programs, including integration with larger software systems. Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and algorithm development tools. Experience with rapid-response R&D, including prototyping and experimental evaluation in dynamic environments. Strong problem-solving skills and the ability to More ❯

quality outputs within set timelines. And any experience of these would be a plus: Proficiency in Python programming and experience using AI-specific frameworks or libraries such as PyTorch, TensorFlow, LangChain, LlamaIndex, or similar tools; proficiency in SQL. Hands-on experience or strong theoretical knowledge of AI and GenAI techniques and methodologies. Familiarity with cloud AI platforms such as 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 ❯

as engineering, mathematics, physics, or statistics. Experience in data science within financial services, insurance, or E-commerce (not essential). Familiarity with cloud-based deployment. Knowledge of neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, or Pandas. Experience with API development. Proficiency in SQL. Background in software engineering or DevOps/MLOps. Understanding of CI/CD pipelines. Why Join Us More ❯

in a regulated industry would be highly preferable. You’ll be highly numeratewith astatistical background, with strong expertise in Python essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. You’ll have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a More ❯

for efficiency and innovation. Ensure ethical use of AI, maintaining data security, privacy, and compliance. Stay current with advancements in AI, ML, and LLM technologies. The Tech Toybox includes: TensorFlow/PyTorch for those deep learning dreams ️Cloud platforms to make it all float Langchain & LlamaIndex for connecting the dots What you’ll need to succeed: At least … Proven experience integrating AI systems with data platforms (databases, data lakes, APIs). Familiarity with data wrangling and preparation tools. Programming skill in Python and experience with AI frameworks (TensorFlow and PyTorch). Experience with cloud platforms (AWS, Google Cloud, etc). 3+ years of professional experience working in agile teams and SDLC for AI projects. This role requires More ❯

Job Type: Permanent Build a brilliant future with Hiscox Position: Data Scientist Reporting to: Head of Data Science Location: York or Manchester Type: Permanent Band: II The technology team for Hiscox UK is an integral part of the business and More ❯

updated with the latest data science trends and technologies. Ensure compliance with regulatory and internal policies. Qualifications Strong statistical background with expertise in Python; ML frameworks like Scikit-learn, TensorFlow, or PyTorch are a plus. Deep understanding of data analytics tools and techniques; strong SQL skills; experience with Snowflake and data visualization are essential. Experience with Palantir Foundry and More ❯

end data science projects, from proof-of-concept through to production, with a focus on operational outcomes. Advanced proficiency in Python and machine learning frameworks such as Scikit Learn, TensorFlow, or PyTorch. Strong SQL skills and experience with data platforms (e.g., Snowflake, cloud-based systems) and visualisation tools. Familiarity with data governance and best practices for assessing and improving More ❯

regulatory and internal policy requirements. What you'll have: Be highly numeratewith astatistical background, with strong expertise in Python is essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. Have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a must, with More ❯

in a regulated industry would be highly preferable. You’ll be highly numeratewith astatistical background, with strong expertise in Python essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. You’ll have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a More ❯

regulated industry would be highly preferable. You'll be highly numerate with a statistical background, with strong expertise in Python essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. You'll have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a More ❯

needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or More ❯

needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or More ❯

needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or More ❯

needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or More ❯

needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or More ❯

needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or More ❯

needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or More ❯