11 of 11 Permanent PyTorch Jobs in the North of England

Statistics , or a related quantitative field. Scientific Python Ecosystem: Proficiency in Python for data science (pandas, numpy, scipy) and machine learning (sklearn, XGBoost, CatBoost, PyTorch). Data Engineering: Strong experience in SQL and data engineering principles (ETL/ELT), with the ability to handle large, complex datasets independently. Collaboration: Proficient ...

deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ...

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 experience in Artificial ...

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 ...

qualifications and impactful work Essential skills: Strong foundation in AI/ML (e.g. neural networks, NLP, transformers) Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow) Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Whisper) Understanding of agentic AI frameworks (e.g. LangChain, AutoGen) A passionate, motivated ...

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 ...

hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks. The Company The Python Developer ...

Architecture of ML solutions Fine tuning LLMs Presenting technical insights Skills: Ability to write and produce production-grade code in Python Experience with TensorFlow, PyTorch and Scikit-learn Experience with NLPs and LLMs Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement ...

. Strong background in machine learning research , including algorithm development and benchmarking. Hands on experience with generative models (diffusion, flows, GANs). Proficiency in PyTorch , Python, and modern ML tooling. Experience in computational science , numerical methods, or scientific computing. MSc or PhD in Machine Learning, Computer Science, Physics, Applied Mathematics ...

algorithms Expertise with generative models (flow, diffusion, and/or GANs) Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum, etc.) Excellent Python/PyTorch programming skills Master s or PhD in a relevant field Desirable: Multi GPU model experience Publication track record Customer facing experience Interest or knowledge ...

week is up to you; deep focus at home, or more of the same! Key Responsibilities: Build, maintain, and productionise machine learning models using PyTorch or similar frameworks. Design and optimise data pipelines for ML inference at scale. Work with large datasets using Big Data tools. Deploy ML workflows using … years of production experience in machine learning systems. Proficiency in Python and SQL for analysis, model development, and data interrogation. Strong knowledge of PyTorch or similar ML frameworks. Experience handling large datasets and distributed processing with PySpark or similar is desirable . Experience of experimentation tools such as MLflow ...