26 to 50 of 146 PyTorch Jobs in the UK

have experience in many of the following: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/B testing methodology ...

application to our client in conjunction with this vacancy only. KEY SKILLS AI, Python, Machine Learning, Software Engineering, Data, APIs, Cloud, Agile, Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, NLTK, OpenAI, LangChain, Pandas, NumPy, MLflow, Kubeflow, Docker, Kubernetes, Azure Machine Learning, Google Vertex ...

development , including bias mitigation and safety evaluations. Essential Skills, Experience, and Abilities: Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Solid understanding of deep learning, NLP, and generative modeling techniques . Experience with training and fine-tuning large-scale models . ...

models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI governance, and large-scale deployment. Recognised professional certifications ...

Computer Science, Data Science, Mathematics, Statistics, Artificial Intelligence or similar Strong programming skills in Python Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn Experience working with large datasets and building data pipelines Knowledge of cloud platforms such as AWS, Azure, or GCP would be beneficial Experience ...

commercial) Comfortable working in a remote, collaborative environment Nice to Have Experience with biological, clinical, or health-related datasets Knowledge of ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Familiarity with cloud platforms or data engineering tools Why Apply? Join a well-funded startup at an early growth stage Work ...

with fine-tuning techniques, retrieval-augmented generation, contextual embeddings, vector databases, and semantic search tools Experience using deep learning frameworks and tools such as PyTorch, TensorFlow, and LangChain. Experience designing and implementing MLOps frameworks that support robust model training, testing, monitoring, and continuous improvement lifecycles. Experience developing and integrating APIs ...

Kubernetes Proven track record of designing and implementing scalable distributed systems and microservices architectures General understanding of modern AI/ML frameworks (TensorFlow, PyTorch) and model deployment in production Deep understanding of software security principles, cryptography, and privacy-by-design methodologies Experience with agile development methodologies and modern DevOps practices ...

with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work ...

with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work ...

with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work ...

with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work ...

with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work ...

with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work ...

data scientist (or similar role). Expert proficiency of Python and experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.). Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models, etc.). Comfortable designing and creating neural network ...

versioning, and CI/CD practices for ML workflows. Required Skills & Experience Data Science & Deep Learning - Strong hands-on experience in Deep Learning using PyTorch or TensorFlow . Programming & Frameworks - Proficiency in Python . - Experience with web/API frameworks such as Django , Flask , or FastAPI . AI & NLP - Practical ...

considerations where required. Technical Skills Required Proficiency in programming languages such as Python, Java, C# or R. Experience with machine learning frameworks including TensorFlow, PyTorch or Scikit-learn. Familiarity with cloud platforms such as AWS, Azure or Google Cloud and associated MLOps practices. Experience with automation and orchestration tooling such ...

Looking For Strong academic background in Computer Science, ML, AI, or a related field. Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring. Experience building robust backend systems and APIs ...

Proven experience in AI/ML engineering, AI architecture, or data science Strong understanding of generative AI, LLMs, NLP, and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience deploying AI models in cloud environments (AWS, Azure, or GCP) Strong Python skills and experience integrating APIs and automation tools Commercial mindset ...

Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP) Solid software engineering foundations for building ...

hands-on experience in data science, machine learning, or applied statistics. Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or similar. Solid grounding in statistics — hypothesis testing, regression, correlation analysis, and experimental design. Experience with SQL and data manipulation at scale. Comfortable with ambiguity ...

Science, Mathematics, or similar Experience delivering predictive analytics or machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical stakeholders Strong analytical thinking, collaboration skills ...

Experience Technical Skills: Strong proficiency in programming languages such as Python, Java, C# or R. Experience with machine learning frameworks and libraries (e.g. TensorFlow, PyTorch, Scikit-learn). Familiarity with cloud platforms (AWS, Azure or Google Cloud) and MLOps practices. Knowledge of automation technologies including RPA platforms (e.g. UiPath ...

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 ...

Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs Strong visualization and communication skills , with the ability to translate complex technical findings ...