51 to 75 of 186 PyTorch Jobs

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 ...

with hands-on experience of tools such as Gurobi, CPLEX or similar optimisation libraries. Strong skills in Python and modern ML frameworks such as PyTorch and TensorFlow. Experience working with time series forecasting, demand modelling, churn or uplift modelling. Practical experience of delivering ML solutions on cloud platforms such ...

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 ...

Computer Science, Mathematics or related field Strong computer vision expertise and experience fine-tuning state-of-the-art models Deep learning experience (e.g. PyTorch , CUDA, model optimisation for training and inference) Strong MLOps and engineering mindset (CI/CD, automated deployment, monitoring) Solid understanding of data engineering, data quality ...

databases (SQLModel, SQL, PostgreSQL, SQLite) Experience with web development (HTTP, FastAPI, HTML, JavaScript) Basics in generative AI (e.g. LLMs, diffusion models, and use with Pytorch or Tensorflow) Experience with the use of HPC systems desirable (e.g. SLURM) Excellent analytical skills Excellent problem-solving skills Very good English skills Willingness ...

lifecycle: model development, training, deployment, monitoring, and continuous maintenance. Strong proficiency in Python and ML frameworks, with expertise in TensorFlow (and experience with PyTorch). Experience with GCP machine learning and data services (e.g., Vertex AI, Dataflow, BigQuery, AI Platform, Pub/Sub). Hands‐on experience with ML training ...

Python programming skills • Commercial experience with machine learning • Experience working in Natural Language Processing (NLP) • Experience training ML models using TensorFlow and/or PyTorch • Experience with search databases (e.g. Elasticsearch, OpenSearch) • Experience with cloud platforms (e.g. AWS) • Willingness to work 3 days per week onsite in London Benefits • Stock ...

Proven technical leadership experience Strong Python expertise Commercial Machine Learning experience Deep experience in Natural Language Processing (NLP) Experience training models in TensorFlow and PyTorch Experience with search databases (Elasticsearch, OpenSearch, etc.) Experience with AWS or similar cloud platforms Willingness to work 3 days per week onsite in London What ...

large language models Knowledge of vector databases, semantic search and embedding techniques Strong programming skills in Python Experience with deep learning frameworks such as PyTorch or TensorFlow What's on Offer Salary up to £110,000 Hybrid working from central London office Performance related bonus scheme 25 days holiday plus ...

scientific literature, tools, models, and best practices. Proficiency in Python, with a deep familiarity and fluency in coding, including expertise with ML frameworks (e.g., PyTorch, TensorFlow) and relevant Python libraries. Strong communication, teamwork and a proactive mindset. Responsibilities Design and build state-of-the-art AI/ML models. Maintaining ...

Ability to lead technical discussions, articulate design decisions effectively, and collaborate with cross-functional teams. Highly Desirable Scientific Computing : Familiarity with scientific libraries like Pytorch, NumPy, SciPy, and visualisation tools (Matplotlib, Plotly, etc.) CFD Understanding : Any knowledge of aerodynamic design principles or experience with CFD software is a significant plus. ...

with awareness of latency and cost tradeoffs MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI Experience with Python and modern ML frameworks (PyTorch, JAX) Excellent verbal and written English communication skills Excellent analytical and problem-solving skills A desire to innovate and push current practice Desirable: Experience with ...

Extensive hands-on experience of frameworks and libraries: Proficient in scikit-learn and SciPy for ML algorithms Hands-on experience within python with PyTorch and experience in developing enterprise python applications Skilled in natural language processing tasks (entity recognition, tokenization etc) Strong knowledge of API/Microservices , Async programming, multithreading ...

e.g. object detection, image classification, segmentation) Experience building, training and optimising ML models Python (NumPy, Pandas, scikit-learn) and frameworks such as TensorFlow or PyTorch Experience deploying models into production environments (cloud platforms, Docker, CI/CD pipelines) Clearance requirements: Active SC Clearance , or SC Clearable (must have resided ...

specifically open-source models). Python Expert: Deep proficiency in Python for production-level Machine Learning and NLP. Frameworks & Tools: ML/DL: TensorFlow, PyTorch, or Hugging Face. Processing: OpenCV, Spacy, Regex, and OCR technologies. DevOps/Security: Experience delivering secure, resilient code and managing APIs. Nice to Have: Knowledge ...

systems Clear communication skills and the confidence to contribute ideas Nice to have but not essential Experience with machine learning libraries such as TensorFlow, PyTorch, or scikit learn Familiarity with APIs, databases, or cloud platforms Personal projects, research, hackathons, or internships involving Python What you will gain Early responsibility ...

Models, or comparable generative AI architectures Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization ...

track record of building and shipping full-stack products in fast-paced, product-driven teams Hands-on experience building production AI systems with Python, PyTorch, and LLMs (OpenAI, Anthropic, etc.), integrated into real user workflows Familiarity with MLOps tools and CI/CD for both traditional and ML-driven systems ...

Ph.D. (or equivalent experience) in Data Science, Machine Learning, Artificial Intelligence, or a related field. Strong proficiency in Python with practical experience of PyTorch or TensorFlow. Working knowledge of implementing and optimising deep neural networks (e.g. CNNs, Transformers, GNNs) Hands-on experience with embedded C/C++ for model integration ...

experiences. What the Company Is Looking For Hands-On AI/ML Expertise: Experience building and deploying machine learning models using frameworks such as PyTorch, TensorFlow, or scikit-learn. LLM Experience: Proven experience working with large language models (e.g. GPT, Claude, Gemini) in production environments, including prompt engineering, evaluation ...

cross-functional technical leadership across research and engineering domains. Core Skills Strong foundation in deep learning and transformer-based architectures. Hands-on experience with PyTorch and modern NLP/LLM toolchains. Deep knowledge of parameter-efficient fine-tuning methods (LoRA, adapters, PEFT techniques). Expertise in intent classification, evaluation metrics ...