22 of 22 PyTorch Jobs in Central London

scalable systems. Essential experience includes: Commercial experience developing and deploying machine learning models in Python Proficiency with ML frameworks such as scikit-learn, XGBoost, PyTorch or TensorFlow Strong experience delivering ML solutions using AWS services (e.g. SageMaker, Lambda, S3) Expertise in experiment design, including hypothesis formulation, A/B testing ...

technical leadership across the team. What We're Looking For Strong commercial experience developing machine learning solutions using Python. Experience with frameworks such as: PyTorch TensorFlow Scikit-learn XGBoost Experience deploying ML solutions on AWS, including services such as SageMaker, Lambda, and S3. Strong understanding of MLOps tooling, including MLflow ...

technical leadership level, leading engineering teams and influencing senior stakeholders. Strong hands-on experience with Python and modern AI/ML frameworks such as PyTorch and/or TensorFlow . Deep understanding of LLMs, Generative AI, prompt engineering, RAG architectures and vector databases . Experience with frameworks and tooling such ...

relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. ...

under high concurrent traffic. Required Skills and Qualifications Core Programming & Frameworks Language: Mastery of Python and its asynchronous ecosystem. ML Ecosystem: Deep expertise in PyTorch, Scikit-learn, and NumPy. Compilation: Experience accelerating Python code via Numba or Triton. Conversational AI Experience Speech Technologies: Hands-on experience deploying Automated Speech Recognition ...

level design, API development, and data modelling for production machine learning systems. Build and operate production solutions using technologies such as Python, TensorFlow, PyTorch, Redis, Airflow, Docker, Kubernetes, and cloud-native infrastructure. Design and deploy scalable batch and real-time ML pipelines supporting customer-facing applications. Develop and operationalise ...

cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. Experience working with language models like LLM's APIs and optimizing their usage for specific applications. Experience with the following programming languages: Python, C++, Java ...

transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP) Experience deploying AI solutions within government, defence, healthcare or other high-assurance environments Strong ...

computer vision, audio, graphs, time-series or tabular data Strong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC) Understanding of software engineering and ML best practices, including version control, packaging and model deployment Experience training and deploying models using cloud platforms, particularly ...

hybrid) Evaluation methodologies for IR and generative AI systems Strong programming skills in Python Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph , Haystack) Experience working with Databricks or similar distributed data and machine learning platforms Understanding of experimentation methodologies, evaluation frameworks, and statistical ...

other relevant standards. Desirable skills: Knowledge of the engineering industry and its challenges. Experience with one of the major machine learning frameworks (TensorFlow or PyTorch). Knowledge of mathematical optimisation methods, such as linear, integer or constraint optimisation, and associated tools (e.g. OR-Tools). Experience with MS Fabric ...

modern software engineering practices Machine Learning/Deep Learning MLOps and production ML systems Cloud platforms and scalable infrastructure ML frameworks such as PyTorch, TensorFlow or equivalent LLMs/Generative AI is highly desirable CI/CD, Docker, Kubernetes or similar technologies Designing and operating production-scale ML platforms ...

AIOps infrastructure and tooling. Proficient in problem-solving and analytical reasoning. Exceptional communication and collaboration skills. Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX. Experience with Large Language Models, including RAG and fine-tuning techniques. Familiarity with compute infrastructure necessary to support operating AI and ML technology. ...

commercial acumen with a history of influencing the commercial success of AI products and solutions. D ESIRABLE : Experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

proficiency in GCP’s ML/AI tooling, and its data ecosystem in general. Expert proficiency with Python and its core ML libraries e.g. PyTorch, TensorFlow. Expert proficiency with SQL development, with Google dialects being advantageous. Robust CI/CD discipline for ML, for example, GitHub Actions or GitLab ...

theory We're looking for: Strong hands-on AI/ML and Data Science expertise (Python essential — NumPy, Pandas, Scikit-learn; exposure to PyTorch, TensorFlow, LangGraph or similar a plus) Proven experience delivering technical training to a mix of technical and non-technical audiences, virtually and face-to-face Experience ...

design, or applied AI research. Commercial or research experience implementing machine learning algorithms. Strong programming skills in Python; C++ experience is advantageous. Experience with PyTorch, TensorFlow, JAX, or similar deep learning frameworks. Why Apply? Join a world-class AI research team working on cutting-edge machine learning technologies. Play ...

related quantitative field. Expert proficiency in GCP’s ML/AI tooling, its data ecosystem, and Python with core ML/AI libraries (PyTorch, XGBoost, TensorFlow). Expert proficiency with SQL development, with Google dialects being advantageous. Proficiency with an API web framework (FastAPI, Django, Flask). Robust CI/ ...

will implement production-grade pipelines, containerize workflows, and contribute to MLOps, AI model serving, and API development. The role requires deep expertise in Python, PyTorch, and modern ML tooling. #J-18808-Ljbffr ...

model serving infrastructure or inference backends. Preferred qualifications: Experience with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism ...

with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance of your models ...

translating complex ML concepts into practical solutions Qualifications Strong Python and software engineering experience Experience operationalising ML models using Scikit-learn, TensorFlow or PyTorch Strong understanding of the machine learning lifecycle Experience with AWS, Azure or GCP Hands-on experience with Docker and Kubernetes Solid understanding of ML fundamentals, probability … with both technical and non-technical stakeholders Required Skills Strong Python and software engineering experience Experience operationalising ML models using Scikit-learn, TensorFlow or PyTorch Strong understanding of the machine learning lifecycle Experience with AWS, Azure or GCP Hands-on experience with Docker and Kubernetes Solid understanding of ML fundamentals ...

Experience in any of the following would be beneficial: LangChain and/or LangGraph Python memory management and performance optimisation GPU optimisation and acceleration PyTorch ONNX/ONNX Runtime Model inference and acceleration Responsibilities for Machine Learning Engineer: Develop and maintain high-quality Python software within advanced commercial AI products … Software Engineer/Machine Learning Software Engineer/AI Integration Engineer/Python/Large Language Models/LLM/LangChain/LangGraph/PyTorch/ONNX/ONNX Runtime/NumPy/pandas/Machine Learning/Artificial Intelligence/GPU Optimisation/Model Inference/Model Acceleration/ ...