1 to 25 of 40 PyTorch Jobs in Yorkshire

integration/deployments, (CI/CD) automation, rigorous code reviews, documentation as communication. Preferred Qualifications Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines More ❯

on Linux, Go, or similar. Utilise Advanced Technical Stack: Leverage our technical stack, including Python, SQL, PostgreSQL, BigQuery, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Pytorch, to develop robust and scalable AI/ML solutions. Strong foundation in data structures, algorithms, and problem-solving, with a clear focus on efficiency and optimisation. Experience with architecting and More ❯

written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/ More ❯

ROI for clients while adhering to ethical AI practices. Key Responsibilities 1. Technical Leadership - Architect and deploy scalable ML models (e.g., dynamic pricing, demand forecasting, desirability scoring) using Python, PyTorch/TensorFlow, and cloud ML tools (AWS SageMaker, Databricks). - Define best practices for model governance, monitoring, and retraining in production. - Lead R&D into emerging techniques (e.g., graph neural More ❯

Python, SQL, Unix-based systems, git, and github for collaboration and review). Machine/Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases). An understanding of Language Models, using and training/fine-tuning and a familiarity with industry-standard LM families. Master's degree or PhD More ❯

and advanced AI/ML engineers and data scientists across various industries. Provide hands-on coding sessions and mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Incorporate cloud-based tools and services (AWS, GCP, Azure) into training to simulate modern ML environments (training on cloud tools can be provided). Update training materials to reflect More ❯

Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep training material More ❯

Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep training material More ❯

Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep training material More ❯

Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep training material More ❯

Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep training material More ❯

Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep training material More ❯

and model development. Expertise in SQL and statistical programming languages (e.g., Python, R), coupled with a deep understanding of data modelling principles. Mastery of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and their application in complex problem domains. Extensive experience with MLOps principles and tools for model deployment, monitoring, versioning, and lifecycle management. Proven experience with analytics and visualisation More ❯

and model development • Expertise in SQL and statistical programming languages (e.g., Python, R), coupled with a deep understanding of data modelling principles • Mastery of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and their application in complex problem domains • Extensive experience with MLOps principles and tools for model deployment, monitoring, versioning, and lifecycle management • Proven experience with analytics and visualisation More ❯

in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the ability to More ❯

in designing, implementing, and optimizing computer algorithms for mission-critical systems. Proficiency in creating computer programs, including integration with larger software systems. Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and algorithm development tools. Experience with rapid-response R&D, including prototyping and experimental evaluation in dynamic environments. Strong problem-solving skills and the ability to bridge algorithm More ❯

tasks). Strong experience delivering machine learning solutions in Python, with applied knowledge in NLP, OCR, image processing, and deep learning. Familiarity with core libraries and frameworks such as PyTorch, TensorFlow, Hugging Face, SpaCy, OpenCV, and Regex. A practical understanding of productionising AI systems, including performance optimisation, robustness, and security. Nice to Have: Background working in agile teams delivering features More ❯

and innovation. Ensure ethical use of AI, maintaining data security, privacy, and compliance. Stay current with advancements in AI, ML, and LLM technologies. The Tech Toybox includes: TensorFlow/PyTorch for those deep learning dreams ️Cloud platforms to make it all float Langchain & LlamaIndex for connecting the dots What you’ll need to succeed: At least 3 years of proficiency … integrating AI systems with data platforms (databases, data lakes, APIs). Familiarity with data wrangling and preparation tools. Programming skill in Python and experience with AI frameworks (TensorFlow and PyTorch). Experience with cloud platforms (AWS, Google Cloud, etc). 3+ years of professional experience working in agile teams and SDLC for AI projects. This role requires a blend of More ❯

deployment needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or More ❯

regulated industry would be highly preferable. You’ll be highly numeratewith astatistical background, with strong expertise in Python essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. You’ll have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a must, with exposure More ❯

they address specific business challenges. Coding & Implementation: Write, optimize, and implement AI code for model development, integrating generative AI models into scalable production environments. Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions. Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI More ❯

they address specific business challenges. Coding & Implementation: Write, optimize, and implement AI code for model development, integrating generative AI models into scalable production environments. Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions. Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI More ❯

they address specific business challenges. Coding & Implementation: Write, optimize, and implement AI code for model development, integrating generative AI models into scalable production environments. Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions. Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI More ❯

Social network you want to login/join with: Job Type: 6 Month Contract + chance for extension Interview Process : Video Interviews held remotely A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6 More ❯

in AI/ML development, with a strong portfolio of projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and teamwork abilities. What We Offer: Competitive salary and benefits package. Opportunity to More ❯