26 to 50 of 86 PyTorch Jobs in the UK excluding London

neural networks for real-world applications. Strong experience with the Python data science ecosystem, including pandas, NumPy and scikit-learn. Hands-on experience with PyTorch or TensorFlow. Strong understanding of machine learning, statistics, and model evaluation methodologies. Experience taking machine learning models from concept through deployment and ongoing production ownership. ...

Engineering, or equivalent experience. A Great C++ AI/ML Software Engineer Will Have Exposure To The Following: Machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime, or similar. AI model deployment, optimisation, and inference in production environments. Data processing, feature engineering, and model evaluation techniques. Security, cybersecurity, or threat ...

challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python | SQL | TensorFlow | PyTorch | AWS | Azure | SageMaker | NLP | LLMs | MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting ...

solutions Keep up to date with emerging AI technologies and help shape technical direction You'll likely have experience with: Python and SQL TensorFlow, PyTorch or similar ML frameworks Large Language Models and NLP AWS or Azure Predictive modelling and machine learning Building production-ready AI applications Communicating technical concepts ...

privacy, and compliance. Champion best practices in testing, documentation, and observability. What you ll need: Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.). Strong SQL skills and familiarity with relational and non-relational databases. Experience with end-to-end ML systems: feature pipelines, model ...

privacy, and compliance. Champion best practices in testing, documentation, and observability. What you ll need: Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.). Strong SQL skills and familiarity with relational and non-relational databases. Experience with end-to-end ML systems: feature pipelines, model ...

privacy, and compliance. Champion best practices in testing, documentation, and observability. What you ll need: Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.). Strong SQL skills and familiarity with relational and non-relational databases. Experience with end-to-end ML systems: feature pipelines, model ...

techniques, including Generative AI, Agentic AI and reinforcement learning. Strong proficiency in programming languages, particularly Python. Expertise in AI/ML frameworks such as PyTorch/TensorFlow, Scikit-learn, Statsmodels, LangGraph and ADK. Familiarity with cloud platforms (preferably Google Cloud Platform and Vertex AI). Strong analytical, critical thinking ...

database design experience. Understanding of REST APIs and distributed systems. Experience with Git and modern development practices. Desirable: C#, .NET, Vue.js, Azure, Docker, TensorFlow, PyTorch, Azure DevOps, Linux. Character Comfortable working across multiple technical disciplines. Strong problem-solving and analytical skills. Self-motivated and capable of working independently. Willingness ...

techniques, including Generative AI, Agentic AI and reinforcement learning. Strong proficiency in programming languages, particularly Python. Expertise in AI/ML frameworks such as PyTorch/TensorFlow, Scikit‐learn, Statsmodels, LangGraph and ADK. Familiarity with cloud platforms (preferably Google Cloud Platform and VertexAI). Strong analytical, critical thinking, and complex ...

Strong experience in Python and SQL, including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding in statistics and probability, with strong mathematical foundations (calculus and linear algebra highly advantageous). Experience working across the full data ...

/LLM-based applications is desirable. Beneficial technical skills include: AWS – including certification Terraform Kubernetes Data science/ML tooling – scikit, TensorFlow, hugging face, pytorch Any ML/Gen AI tooling such as Langchain, Langsmith, ML Flow, Dataiku, Data Robot, Sagemaker, Bedrock, Weights and Biases. Oauth/JWTs Two-stage ...

solve real-world problems in industry or academiaStrong Python programming skills and deep familiarity with the Python ecosystem (i.e. pandas, numpy, scikit-learn, pytorch, pip, pytest)Demonstrated ability to lead technical teams and initiatives with strong communication and stakeholder management skills\n Preferred qualifications, capabilities, and skills: \n \n Experience ...

cost, quality, and accuracy trade‐offs in production systems. Solid grounding in ML/DL concepts, with hands‐on experience applying frameworks such as PyTorch and/or TensorFlow, including embeddings and model fine‐tuning where appropriate. Experience deploying and operating production Gen AI systems, leveraging Docker, cloud‐native architecture ...

environments is essential. •You should have strong Python development skills •Solid understanding of machine learning fundamentals and AI concepts •Experience with frameworks such as PyTorch, TensorFlow or LangChain •Experience developing and deploying machine learning models into production •Knowledge of data pipelines and CI/CD practices •Experience with Docker, Kubernetes ...

excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised ...

excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised ...

excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised ...

excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised ...

excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised ...

excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised ...

cost, quality, and accuracy trade‐offs in production systems* **Solid grounding in ML/DL concepts**, with hands‐on experience applying frameworks such as **PyTorch and/or TensorFlow**, including embeddings and model fine‐tuning where appropriate* **Experience deploying and operating production Gen AI systems**, leveraging **Docker, cloud‐native architecture ...

evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/ ...

foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc.Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace.Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.Familiarity with latest development in deep learning frameworks. Ability to communicate complex concepts ...

Electrical Engineering, Control Systems, or a related field Experience across a spectrum of libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch model servers such as AWS Bedrock MLOps such as ML Flow or Sagemaker agent/AI orchestration such as LangGraph or MCP libraries Strong programming ...