276 to 300 of 1,549 PyTorch Jobs in England

in programming languages such as Python, R, and SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as named entity recognition (NER), topic modeling, semantic similarity, and knowledge graph construction. Demonstrated ability to communicate complex technical findings clearly More ❯

Solid understanding of ML theory and practical application. Strong understanding of statistical concepts (e.g., hypothesis testing, sampling, probability distributions). Experience with ML libraries (e.g., scikit-learn; TensorFlow or PyTorch a plus). Proven track record of deploying ML models to production environments. Experience with software development concepts including Version Control (e.g., Git), CI/CD pipelines, and containerization tools More ❯

for the last 5 years. You must be able to hold or gain a UK government security clearance. Preferred Technical And Professional Experience Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Familiarity with big data technologies (Hadoop, Spark). Background in data science, IT consulting, or a related field. AWS Certified Big Data or equivalent Seniority level Seniority More ❯

/ML development and data science. Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. More ❯

Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with big More ❯

techniques. To be a successful match you must have: 1+ years in a Machine Learning or ML Engineering role, with hands-on experience in deep learning frameworks (e.g., TensorFlow, PyTorch). Motivated recent graduates are encouraged to apply! A degree in Mathematics, Engineering, Statistics, Computer Science, Physics, or a related field. An advanced degree is highly preferred. Proficient in Python More ❯

in Artificial Intelligence Skills, Knowledge, And Experience Technical proficiency You write production-grade, scalable Python code, ensuring that your models are robust, maintainable, and optimised for performance Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful Computer Vision or LLM projects into production Strong understanding of software development fundamentals More ❯

learning. Advanced Python Development Proficiency: Experience with OOP, and data-validation libraries such as Pydantic. Deep familiarity with Python and its ecosystem for AI/ML, including libraries like PyTorch, Hugging Face Transformers, and scikit-learn. Experience with data manipulation using libraries such as Pandas and NumPy, and familiarity with parallelization or asynchronous programming. Proficiency in Test-Driven Development (TDD More ❯

applied. Essential technical skills Proficient in SQL and Python. An ability to analyse complex datasets and extract actionable insights. Experience with machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn). Skilled in building credible statistical models. Knowledge of various learning algorithms (supervised, unsupervised, reinforcement). Experience with MLOps practices. Demonstrable experience building visualisations and dashboards in Tableau. More ❯

learning. Advanced Python Development Proficiency: Experience with OOP, and data-validation libraries such as Pydantic. Deep familiarity with Python and its ecosystem for AI/ML, including libraries like PyTorch, Hugging Face Transformers, and scikit-learn. Experience with data manipulation using libraries such as Pandas and NumPy, and familiarity with parallelization or asynchronous programming. Proficiency in Test-Driven Development (TDD More ❯

EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we More ❯

Data Scientist Davies Consulting London, United Kingdom Data Scientist Department: Legal Employment Type: Permanent - Full Time Location: Home United Kingdom Description New Opportunity , award winning team Davies is a leading insurance services provider, delivering innovative solutions across claims management and More ❯

Get AI-powered advice on this job and more exclusive features. This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message More ❯

Orynx AI is looking for ambitious university students to gain real-world experience in AI, Machine Learning, Data Science, and Software Engineering . This unpaid internship is designed to provide hands-on experience and portfolio-building opportunities. AI Engineers – Build More ❯

Job Description Data Scientist Department: Legal Employment Type: Permanent - Full Time Location: Home United Kingdom Description New Opportunity, award-winning team Davies is a leading insurance services provider, delivering innovative solutions across claims management and risk analysis. As part of More ❯

Join to apply for the Data Scientist role at Keoghs Join to apply for the Data Scientist role at Keoghs Description Department: Legal Location: Home United Kingdom Description New Opportunity , award winning team Davies is a leading insurance services provider More ❯

Social network you want to login/join with: EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's More ❯

EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we More ❯

EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we More ❯

Analytic Science - Pre-Sales Lead Scientist Analytic Science - Pre-Sales Lead Scientist Apply locations: London, United Kingdom Time type: Full time Posted on: Posted Yesterday Job requisition id: 30622 About FICO FICO (NYSE: FICO) is a leading global analytics software More ❯

EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide. But that's not all! We're not just about numbers, we More ❯

high-performance computing, neural deep learning methods, and/or machine learning. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. PREFERRED QUALIFICATIONS PhD or Master's degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. Practical experience in solving complex problems in an applied … environment. Hands-on experience building models with deep learning frameworks like PyTorch, TensorFlow, or JAX. Prior experience in training and fine-tuning of Large Language Models (LLMs). Knowledge of AWS platform and tools. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin More ❯

ideal candidate for the GenAI Engineer role, you bring a wealth of experience in machine learning and NLP roles. Your strong proficiency in Python, deep learning frameworks such as PyTorch or TensorFlow, and GenAI libraries will be essential to your success in this role. You have hands-on experience with vector search, embedding models, and retrieval pipelines. Your familiarity with … problem-solving skills will be invaluable in our fast-paced environment. 3+ years of experience working in machine learning/NLP roles. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries. Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model outputs. Experience working More ❯

of hands-on experience in applied machine learning. Strong history of end-to-end ML implementation, from concept to production at scale. Expertise in Python and modern ML frameworks (PyTorch, TensorFlow). Demonstrated ability to identify high-impact opportunities and deliver measurable results. What Sets Great Candidates Apart: Experience with or strong interest in emerging AI technologies, including Agentic AI … 5+ years of hands-on experience in applied machine learning, including building and deploying models in production. Strong programming skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow). Proven track record of delivering business value through ML solutions in production environments. Experience with end-to-end ML lifecycle, from research/prototyping to deployment at scale. More ❯

technically strong, but solution-oriented, strategically minded, and able to communicate insights clearly to both technical and non-technical audiences. Requirements: Advance Python (Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch) & SQL skills. (Snowflake a plus) Experience with Data warehousing and database technologies Solid machine learning experience (modelling to deployment) Cloud exposure (GCP/AWS/Azure) Excellent communication & stakeholder skills More ❯