226 to 250 of 519 PyTorch Jobs in England

versioning, monitoring, automation) Demonstrable experience building recommendation systems (collaborative filtering, content-based, hybrid approaches) Strong proficiency in Python and common ML libraries (e.g. TensorFlow, PyTorch, Scikit-learn) Experience working with large-scale data processing tools (e.g. Spark) Strong understanding of software engineering best practices If you are interested ...

dynamic, iterative environment No industry knowledge required Technical skillset - Must: Python common data science/ML libraries (e.g., pandas, NumPy, scikit-learn, XGBoost, PyTorch, Hugging Face) experiment design evaluation metrics Nice to have: LLM fine-tuning prompt engineering SQL/PostgreSQL #J-18808-Ljbffr ...

What we’re looking for 5+ years in ML/AI engineering with models shipped to production. Strong Python and the modern ML stack (PyTorch, scikit-learn, etc.). Hands‐on experience with LLMs, embeddings, and retrieval‐augmented generation. Able to balance research curiosity with practical, shippable outcomes. Creative, experimental ...

skills Research publications in prominent AI/ML, Software Engineering venues (e.g., conferences, journals) Practical experience with ML platforms such as TensorFlow/Keras, PyTorch Comfort with rapid prototyping and disciplined software development processes Practical software engineering experience in collaborative project settings #J-18808-Ljbffr ...

kafka).Theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems.Familiarity with typical quantitative research toolchains including Numpy, Polars, Scikitlearn, Pytorch, etc.DevOps: version control, testing frameworks, release processes, build systems.Excellent communication, problem-solving, and analytical skills.Preferred ExperienceExtremely strong computer science or engineering background with 5+ years ...

Bachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques. Strong communication and collaboration skills, with the ability ...

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/ ...

YouEssential RequirementsBachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field.Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks.Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques.Strong communication and collaboration skills, with the ability to work ...

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 ...

candidate will possess: Strong Programming Skills: Proficiency in languages such as Python, Java, or C++. AI Knowledge: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and natural language processing. Analytical Mindset: Ability to analyse complex data sets and derive actionable insights. Problem-Solving Skills: A proactive approach to tackling challenges ...

strong academic publication record Strong statistical/ML knowledge Proficiency in Python 3+ years of experience with modern deep learning frameworks: JAX, TensorFlow/PyTorch We prefer: Proven track record of deploying ML models to production environments Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/ ...

implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer and stakeholder relationships. Supporting and leading ...

integrating diverse data sources. Excellent communication skills, with the ability to present complex ideas in a clear, non-technical manner. Desirable Experience: Knowledge of PyTorch, MLflow, DBT, and Databricks AI functions is a plus! About Us: Join a dynamic organisation that values human connection and places customers at the heart ...

technical leadership Deep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructure Hands‐on experience with PyTorch, TensorFlow, or similar ML frameworks Strong understanding of scalable APIs, cloud‐native systems, and modern engineering practices Experience creating Proof of Concepts and evaluating technical ...

Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Hands‐on experience in implementing distributed/multi‐threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate ...

learning systems in production environments.Strong understanding of machine learning engineering principles and modern software engineering practices.Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar.Experience training and optimising models using large datasets and distributed compute infrastructure.Experience working with recommendation systems, ranking, retrieval, personalisation or related machine learning ...

/ML systems experience: fine‐tuning models, building inference pipelines, optimisation for latency/cost, evaluation of model performance; comfortable with TensorFlow, PyTorch, Triton and productionising ML. Technical depth and breadth: T‐shaped expertise in at least one area (ML infrastructure, backend systems, performance optimisation) with broad understanding across software ...

stack, REST API, Python, PHP/Hack, JavaScript/React development along with debugging and bug management supportKnowledge on fine-tuning and optimizations of PyTorch models and with at least one LLM such as Llama, GPT, Claude, Falcon, etcExperience in communicating with technical and business audiences and creating technical documentationExperience ...

Additional familiarity with explore/exploit/MAB algorithms, LLMs, and causal inference techniques are a plus. Machine learning background in Python; experience with PyTorch or TensorFlow preferred. Ability to think holistically about business problems, moving beyond technical implementation to influence long‐term strategy and roadmap. Excellent communication and stakeholder ...

experience with user-level and performance marketing data.• Proficiency with AWS (SageMaker, Lambda, Step Functions), Snowflake, and modern MLOps tooling.Familiarity with ML frameworks including PyTorch, TensorFlow, scikit-learn, and XGBoost.Experience managing and scaling high-performing data science and ML engineering teams.Working at Tripledot25 days paid holiday in addition to bank ...

translating technical methods to non-technical stakeholdersStrong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional.Experience with version control (GitHub)ML experience with causality, Bayesian statistics & optimization, survival analysis, design ...

Computer VisionSolid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)Extensive experience with pytorch, numpy, pandasHands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.)Able to communicate technical ...

e.g., neural networks, training vs inference, numerical precision, performance trade‐offs). Hands‐on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. Strong proficiency in Python for ML workflows, experimentation, and automation. Experience designing, running, and analysing ML benchmarks or experiments. Experience working ...

compliance.WHAT YOU BRINGProduction-Level AI Expertise: Proven success building, deploying, and maintaining complex AI/ML solutions, modern AI frameworks (such as Python, TensorFlow, PyTorch, or LangChain), and cloud-native AI platforms (AWS, Azure, or GCP).Distributed Systems Mastery: Deep technical capability in structuring data platforms, data pipelines, and high ...

compliance.WHAT YOU BRINGProduction-Level AI Expertise: Proven success building, deploying, and maintaining complex AI/ML solutions, modern AI frameworks (such as Python, TensorFlow, PyTorch, or LangChain), and cloud-native AI platforms (AWS, Azure, or GCP).Distributed Systems Mastery: Deep technical capability in structuring data platforms, data pipelines, and high ...