626 to 650 of 1,712 PyTorch Jobs in the UK

knowledge of statistical techniques and validation metrics. Proficiency in Python, R, or MATLAB. Experience with data wrangling, feature engineering, and dataset preparation. Familiarity with machine learning frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with cloud platforms (AWS, Azure, GCP) and deploying models. Ability to use data visualization tools like Tableau or Power BI. Nice-to-Have Skills Knowledge of big More ❯

outcomes. Skills Essential Proven track record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA or protein). Strong ability More ❯

user-centric product design. What We’re Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system More ❯

Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security More ❯

Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security More ❯

Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security More ❯

Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security More ❯

user-centric product design. What We’re Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system More ❯

years of hands-on experience in AI/ML/Deep Learning • Strong coding skills in Python (must), familiarity with Node.js, Go, or Rust is a plus • Proficient with PyTorch or TensorFlow • Deep understanding of transformer architectures, embeddings, and attention mechanisms • Experience with LangChain, Transformers (HuggingFace), or LlamaIndex • Working knowledge of LLM fine-tuning (LoRA, QLoRA, PEFT) and prompt engineering More ❯

user-centric product design. What We’re Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system More ❯

skills, with the ability to present complex ideas clearly Preferred: Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) A strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL) Why Join Us Work on groundbreaking AI research with real-world applications and a strong commitment to More ❯

skills, with the ability to present complex ideas clearly Preferred: Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) A strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL) Why Join Us Work on groundbreaking AI research with real-world applications and a strong commitment to More ❯

Learning and Computer Vision, or equivalent industry experience. Strong proficiency in programming languages such as Python, C++, or similar. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, or OpenCV. Proven ability to develop and optimise deep learning models for image and video analysis. Understanding of medical imaging and video data is advantageous. Excellent problem-solving skills More ❯

practices, including model versioning, CI/CD pipelines, containerization, and cloud deployment for large-scale models. Solid programming skills in Python and familiarity with machine learning frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and MLOps tools (e.g., MLflow, Kubeflow). Strong analytical and problem-solving skills, with an aptitude for translating complex theoretical research into practical applications. Day to Day More ❯

user-centric product design. What We’re Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system More ❯

You'll Bring: Degree in Computer Science, AI, ML, or a related field. Experience in developing and deploying AI/ML solutions. Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong understanding of LLMs, NLP, and machine learning algorithms. MLOps knowledge and experience with version control systems. Back-end engineering skills in Python or Node.js (willingness to upskill in More ❯

to-have: •Experience in optimization, reinforcement learning, and/or large language models (LLMs) •Experience in chip design and applied AI research •Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Why Join Us •Work on groundbreaking AI research with real-world applications and a strong commitment to open-source contributions and scientific advancement •Collaborate with a team of world More ❯

track record of successfully delivering complex projects. Technical Skills Proficiency in programming languages such as Python, R, Java, or C++. Experience with data science tools and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Knowledge of industrial automation systems and protocols (e.g., SCADA, PLCs, DCS). Familiarity with database management and data visualization tools (e.g., SQL, Tableau, Power BI). Soft More ❯

key. Strong Python, SQL, and programming skills. Hands-on experience with NLP, LLMs, recommendation systems, Information Retrieval stacks, or GenAI (especially RAG systems). Familiarity with ML frameworks like PyTorch and scikit-learn. Experience across the full model lifecycle: experimentation, training, testing, monitoring, deployment. Good knowledge of AWS’s machine learning infrastructure. This is a superb opportunity to join a More ❯

or intelligent data extraction pipelines. Deep understanding of NLP fundamentals: text preprocessing, language modeling, and semantic similarity. Strong proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar. Experience with data science tools and platforms (e.g., Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem. Strong understanding More ❯

multi-objective optimization using machine learning and/or deep learning methods Experienced with common python toolkits for scientific computing (e.g., numpy, pandas, scipy), machine learning (e.g., scikit-learn, pytorch), and cheminformatics/bioinformatics (e.g., rdkit, openeye, biotite, biopython) Familiarity running simulations and training models on high-performance computing (GPU) environments for corporate R&D, innovation labs, or academic research More ❯

Apigee, AWS API Gateway) and ESB solutions. Familiarity with generative AI approaches like LLM-based chatbots or transformer-based AI solutions. You will have an understanding ML frameworks (TensorFlow, PyTorch) and how they can be utilised in data pipelines. Exceptional ability to communicate technical concepts to C-level executives, technical staff, and non-technical stakeholders. You will have strong presentation More ❯

knowledge of statistical techniques and validation methodologies. Proficiency in Python, R, or MATLAB. Experience with data wrangling, feature engineering, and dataset preparation. Knowledge of machine learning frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with cloud platforms (AWS, Azure, GCP) and deploying models. Ability to use data visualization tools like Tableau or Power BI. Nice-to-Have: Familiarity with big data More ❯

can suffice. Advanced certifications are a bonus. Work Experience: Proven expertise in AI/ML, especially with generative AI at scale, LLMs like GPT and BERT, AI frameworks (TensorFlow, PyTorch), cloud-native solutions, and tools such as Databricks and Snowflake. Experience managing stakeholders in complex environments. Skills: Proficient in designing and optimizing generative AI models, prompt engineering, understanding ML algorithms More ❯

PhD in Mathematics, Statistics, Computer Science or a related field. Proven experience designing or delivering large-scale pricing, AI or recommendation systems. Deep technical knowledge of ML frameworks (TensorFlow, PyTorch), cloud platforms (AWS, GCP, Azure), and big data tools (Spark, Hadoop). Demonstrated success in building business-critical, real-time algorithmic solutions. Strong communication and stakeholder engagement skills – translating complexity More ❯